{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cube", "B) video_1 -- gray metal cube", "C) video_2 -- gray metal sphere", "D) video_1 -- yellow rubber sphere"], "answer": "B) video_1 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_10001.mp4", "dataset/clvr/video_validation/video_10002.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cylinder", "B) video_1 -- yellow metal cube", "C) video_2 -- blue metal cube", "D) video_2 -- yellow rubber cube"], "answer": "D) video_2 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_10003.mp4", "dataset/clvr/video_validation/video_10004.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cylinder", "B) video_1 -- brown metal cylinder", "C) video_2 -- gray rubber cylinder", "D) video_2 -- purple metal sphere"], "answer": "A) video_1 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_10007.mp4", "dataset/clvr/video_validation/video_10008.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cylinder", "B) video_1 -- purple metal sphere", "C) video_2 -- red metal sphere", "D) video_2 -- green rubber cube"], "answer": "C) video_2 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10008.mp4", "dataset/clvr/video_validation/video_10009.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_1 -- cyan rubber sphere", "C) video_2 -- gray rubber cylinder", "D) video_2 -- blue rubber cylinder"], "answer": "D) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10012.mp4", "dataset/clvr/video_validation/video_10013.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_1 -- cyan metal cube", "C) video_2 -- blue rubber cylinder", "D) video_2 -- yellow metal cylinder"], "answer": "B) video_1 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_10021.mp4", "dataset/clvr/video_validation/video_10022.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cylinder", "B) video_2 -- red metal cube", "C) video_1 -- yellow metal cylinder", "D) video_1 -- blue rubber cylinder"], "answer": "A) video_2 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_10022.mp4", "dataset/clvr/video_validation/video_10023.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cube", "B) video_2 -- red metal sphere", "C) video_2 -- cyan rubber cube", "D) video_1 -- cyan metal cylinder"], "answer": "A) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10030.mp4", "dataset/clvr/video_validation/video_10031.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_2 -- yellow metal sphere", "C) video_1 -- cyan rubber cube", "D) video_1 -- red metal sphere"], "answer": "A) video_2 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10031.mp4", "dataset/clvr/video_validation/video_10032.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal sphere", "B) video_1 -- cyan rubber cube", "C) video_2 -- green metal cylinder", "D) video_2 -- red rubber cube"], "answer": "B) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10032.mp4", "dataset/clvr/video_validation/video_10033.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cylinder", "B) video_2 -- yellow metal sphere", "C) video_1 -- green rubber sphere", "D) video_1 -- green metal cylinder"], "answer": "D) video_1 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_10041.mp4", "dataset/clvr/video_validation/video_10042.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal sphere", "B) video_1 -- cyan metal cube", "C) video_2 -- red metal sphere", "D) video_1 -- yellow metal cube"], "answer": "A) video_2 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_10043.mp4", "dataset/clvr/video_validation/video_10044.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal sphere", "B) video_1 -- brown rubber cylinder", "C) video_2 -- red rubber sphere", "D) video_2 -- purple metal cube"], "answer": "B) video_1 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10045.mp4", "dataset/clvr/video_validation/video_10046.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_2 -- purple metal cylinder", "C) video_1 -- red rubber sphere", "D) video_1 -- purple metal cube"], "answer": "B) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10046.mp4", "dataset/clvr/video_validation/video_10047.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cube", "B) video_1 -- purple rubber sphere", "C) video_2 -- yellow metal sphere", "D) video_2 -- red metal sphere"], "answer": "B) video_1 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10052.mp4", "dataset/clvr/video_validation/video_10053.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal sphere", "B) video_1 -- yellow metal sphere", "C) video_2 -- green metal cube", "D) video_2 -- yellow metal cube"], "answer": "C) video_2 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_10053.mp4", "dataset/clvr/video_validation/video_10054.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal sphere", "B) video_1 -- cyan rubber sphere", "C) video_1 -- cyan metal sphere", "D) video_2 -- purple rubber cylinder"], "answer": "B) video_1 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10056.mp4", "dataset/clvr/video_validation/video_10057.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cylinder", "B) video_2 -- purple rubber sphere", "C) video_1 -- purple rubber cylinder", "D) video_1 -- green metal sphere"], "answer": "A) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10057.mp4", "dataset/clvr/video_validation/video_10058.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal sphere", "B) video_1 -- blue rubber cylinder", "C) video_1 -- purple rubber sphere", "D) video_2 -- green rubber sphere"], "answer": "B) video_1 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10058.mp4", "dataset/clvr/video_validation/video_10059.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cube", "B) video_1 -- green rubber cylinder", "C) video_2 -- red rubber cylinder", "D) video_2 -- red metal cube"], "answer": "C) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10060.mp4", "dataset/clvr/video_validation/video_10061.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_1 -- red metal cube", "C) video_1 -- red rubber cylinder", "D) video_2 -- purple rubber cylinder"], "answer": "C) video_1 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10061.mp4", "dataset/clvr/video_validation/video_10062.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber sphere", "B) video_1 -- cyan rubber cube", "C) video_2 -- purple metal cube", "D) video_2 -- cyan metal sphere"], "answer": "D) video_2 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10067.mp4", "dataset/clvr/video_validation/video_10068.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cube", "B) video_2 -- yellow metal sphere", "C) video_2 -- red rubber cylinder", "D) video_1 -- cyan metal sphere"], "answer": "D) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10068.mp4", "dataset/clvr/video_validation/video_10069.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_2 -- cyan rubber cylinder", "C) video_1 -- red rubber sphere", "D) video_2 -- purple metal cube"], "answer": "A) video_1 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_10074.mp4", "dataset/clvr/video_validation/video_10075.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_1 -- red rubber cylinder", "C) video_1 -- brown rubber sphere", "D) video_2 -- yellow rubber sphere"], "answer": "A) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10076.mp4", "dataset/clvr/video_validation/video_10077.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cylinder", "B) video_2 -- yellow metal cylinder", "C) video_2 -- cyan metal sphere", "D) video_1 -- brown metal cube"], "answer": "D) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_10082.mp4", "dataset/clvr/video_validation/video_10083.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cylinder", "B) video_1 -- yellow metal cylinder", "C) video_2 -- yellow rubber sphere", "D) video_1 -- cyan metal sphere"], "answer": "D) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10083.mp4", "dataset/clvr/video_validation/video_10084.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_2 -- blue metal cylinder", "C) video_1 -- purple rubber cylinder", "D) video_1 -- yellow rubber sphere"], "answer": "B) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_10084.mp4", "dataset/clvr/video_validation/video_10085.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal sphere", "B) video_1 -- brown metal cylinder", "C) video_2 -- green rubber sphere", "D) video_1 -- brown rubber cylinder"], "answer": "A) video_2 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10092.mp4", "dataset/clvr/video_validation/video_10093.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cylinder", "B) video_2 -- yellow rubber cube", "C) video_2 -- red rubber sphere", "D) video_1 -- yellow metal cylinder"], "answer": "A) video_1 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_10096.mp4", "dataset/clvr/video_validation/video_10097.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cube", "B) video_2 -- green metal sphere", "C) video_1 -- red rubber sphere", "D) video_1 -- yellow rubber cube"], "answer": "A) video_2 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_10097.mp4", "dataset/clvr/video_validation/video_10098.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber sphere", "B) video_2 -- brown metal sphere", "C) video_2 -- purple metal cube", "D) video_1 -- purple metal cube"], "answer": "C) video_2 -- purple metal cube", "videos": ["dataset/clvr/video_validation/video_10103.mp4", "dataset/clvr/video_validation/video_10104.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cylinder", "B) video_2 -- red metal sphere", "C) video_1 -- brown metal cylinder", "D) video_2 -- cyan metal cylinder"], "answer": "A) video_1 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10105.mp4", "dataset/clvr/video_validation/video_10106.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cylinder", "B) video_1 -- red metal sphere", "C) video_2 -- cyan rubber sphere", "D) video_2 -- blue metal cube"], "answer": "C) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10106.mp4", "dataset/clvr/video_validation/video_10107.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_1 -- purple metal cube", "C) video_2 -- cyan metal cylinder", "D) video_2 -- gray rubber sphere"], "answer": "C) video_2 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_10111.mp4", "dataset/clvr/video_validation/video_10112.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_2 -- green rubber cube", "C) video_1 -- cyan metal cylinder", "D) video_1 -- gray rubber sphere"], "answer": "C) video_1 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_10112.mp4", "dataset/clvr/video_validation/video_10113.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_1 -- gray rubber sphere", "C) video_1 -- green rubber cube", "D) video_2 -- yellow rubber cylinder"], "answer": "D) video_2 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10113.mp4", "dataset/clvr/video_validation/video_10114.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cube", "B) video_2 -- red rubber sphere", "C) video_1 -- blue rubber cube", "D) video_1 -- purple metal cube"], "answer": "C) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10118.mp4", "dataset/clvr/video_validation/video_10119.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cube", "B) video_2 -- purple metal sphere", "C) video_1 -- gray metal cube", "D) video_2 -- gray rubber sphere"], "answer": "A) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10124.mp4", "dataset/clvr/video_validation/video_10125.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cube", "B) video_1 -- purple metal cube", "C) video_2 -- blue rubber cylinder", "D) video_1 -- red metal sphere"], "answer": "A) video_2 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_10126.mp4", "dataset/clvr/video_validation/video_10127.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_1 -- blue rubber cylinder", "C) video_2 -- purple metal cube", "D) video_1 -- red metal cube"], "answer": "D) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_10127.mp4", "dataset/clvr/video_validation/video_10128.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cube", "B) video_1 -- cyan rubber sphere", "C) video_2 -- red metal sphere", "D) video_2 -- cyan rubber sphere"], "answer": "D) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10128.mp4", "dataset/clvr/video_validation/video_10129.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cube", "B) video_2 -- cyan rubber cube", "C) video_2 -- gray rubber sphere", "D) video_1 -- purple rubber sphere"], "answer": "D) video_1 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10135.mp4", "dataset/clvr/video_validation/video_10136.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cube", "B) video_1 -- cyan rubber cube", "C) video_1 -- gray rubber sphere", "D) video_2 -- brown rubber cylinder"], "answer": "D) video_2 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10136.mp4", "dataset/clvr/video_validation/video_10137.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cube", "B) video_1 -- brown rubber cylinder", "C) video_1 -- green metal cube", "D) video_2 -- green rubber cube"], "answer": "B) video_1 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10137.mp4", "dataset/clvr/video_validation/video_10138.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cube", "B) video_1 -- gray metal cube", "C) video_2 -- red metal sphere", "D) video_2 -- cyan metal sphere"], "answer": "D) video_2 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10138.mp4", "dataset/clvr/video_validation/video_10139.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_1 -- brown rubber cylinder", "C) video_1 -- green metal sphere", "D) video_2 -- brown metal cylinder"], "answer": "A) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10141.mp4", "dataset/clvr/video_validation/video_10142.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_2 -- purple metal sphere", "C) video_1 -- brown metal cylinder", "D) video_1 -- red rubber sphere"], "answer": "D) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10142.mp4", "dataset/clvr/video_validation/video_10143.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_2 -- brown rubber cylinder", "C) video_2 -- brown rubber cube", "D) video_1 -- purple rubber cube"], "answer": "D) video_1 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_10144.mp4", "dataset/clvr/video_validation/video_10145.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_1 -- cyan rubber sphere", "C) video_1 -- green metal cylinder", "D) video_2 -- red metal sphere"], "answer": "A) video_2 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10148.mp4", "dataset/clvr/video_validation/video_10149.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_1 -- cyan rubber cube", "C) video_2 -- cyan rubber sphere", "D) video_1 -- red metal sphere"], "answer": "B) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10149.mp4", "dataset/clvr/video_validation/video_10150.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cylinder", "B) video_2 -- purple rubber cube", "C) video_1 -- green metal cube", "D) video_2 -- brown metal sphere"], "answer": "C) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_10151.mp4", "dataset/clvr/video_validation/video_10152.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal sphere", "B) video_1 -- purple rubber cylinder", "C) video_2 -- purple metal sphere", "D) video_1 -- gray rubber cube"], "answer": "A) video_2 -- brown metal sphere", "videos": ["dataset/clvr/video_validation/video_10153.mp4", "dataset/clvr/video_validation/video_10154.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal sphere", "B) video_2 -- green rubber cylinder", "C) video_2 -- red metal cube", "D) video_1 -- purple metal sphere"], "answer": "A) video_1 -- brown metal sphere", "videos": ["dataset/clvr/video_validation/video_10154.mp4", "dataset/clvr/video_validation/video_10155.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cube", "B) video_1 -- cyan rubber sphere", "C) video_2 -- brown rubber cylinder", "D) video_1 -- yellow rubber sphere"], "answer": "C) video_2 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10157.mp4", "dataset/clvr/video_validation/video_10158.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cylinder", "B) video_2 -- green metal sphere", "C) video_2 -- gray metal cylinder", "D) video_1 -- brown rubber cube"], "answer": "C) video_2 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_10168.mp4", "dataset/clvr/video_validation/video_10169.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cylinder", "B) video_2 -- brown metal cylinder", "C) video_1 -- green metal sphere", "D) video_2 -- cyan metal cylinder"], "answer": "A) video_1 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_10169.mp4", "dataset/clvr/video_validation/video_10170.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cube", "B) video_2 -- blue metal sphere", "C) video_1 -- cyan metal cylinder", "D) video_1 -- brown metal cylinder"], "answer": "A) video_2 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_10170.mp4", "dataset/clvr/video_validation/video_10171.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_2 -- red rubber sphere", "C) video_1 -- purple metal cube", "D) video_2 -- blue metal cylinder"], "answer": "A) video_1 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_10174.mp4", "dataset/clvr/video_validation/video_10175.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cube", "B) video_1 -- cyan rubber sphere", "C) video_2 -- purple rubber cube", "D) video_2 -- green metal cylinder"], "answer": "C) video_2 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_10178.mp4", "dataset/clvr/video_validation/video_10179.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cylinder", "B) video_2 -- purple metal sphere", "C) video_2 -- brown metal sphere", "D) video_1 -- purple rubber cube"], "answer": "D) video_1 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_10179.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_2 -- red metal cylinder", "C) video_2 -- blue metal sphere", "D) video_1 -- blue rubber sphere"], "answer": "C) video_2 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_10181.mp4", "dataset/clvr/video_validation/video_10182.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal sphere", "B) video_2 -- brown rubber cube", "C) video_1 -- red metal sphere", "D) video_2 -- blue rubber cube"], "answer": "C) video_1 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10185.mp4", "dataset/clvr/video_validation/video_10186.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cube", "B) video_2 -- gray metal sphere", "C) video_1 -- brown rubber cube", "D) video_2 -- cyan rubber sphere"], "answer": "B) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10186.mp4", "dataset/clvr/video_validation/video_10187.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cube", "B) video_1 -- yellow rubber cylinder", "C) video_2 -- cyan rubber sphere", "D) video_1 -- gray metal cylinder"], "answer": "A) video_2 -- purple metal cube", "videos": ["dataset/clvr/video_validation/video_10190.mp4", "dataset/clvr/video_validation/video_10191.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cube", "B) video_2 -- brown metal sphere", "C) video_2 -- cyan rubber sphere", "D) video_1 -- cyan rubber sphere"], "answer": "A) video_1 -- purple metal cube", "videos": ["dataset/clvr/video_validation/video_10191.mp4", "dataset/clvr/video_validation/video_10192.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cylinder", "B) video_1 -- blue rubber cylinder", "C) video_2 -- cyan metal sphere", "D) video_2 -- brown metal cube"], "answer": "D) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_10194.mp4", "dataset/clvr/video_validation/video_10195.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_2 -- yellow metal cylinder", "C) video_1 -- cyan metal sphere", "D) video_1 -- brown metal cube"], "answer": "D) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_10195.mp4", "dataset/clvr/video_validation/video_10196.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber sphere", "B) video_2 -- brown metal sphere", "C) video_1 -- yellow metal cylinder", "D) video_1 -- gray rubber sphere"], "answer": "A) video_2 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10196.mp4", "dataset/clvr/video_validation/video_10197.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cube", "B) video_2 -- green metal sphere", "C) video_1 -- brown metal sphere", "D) video_1 -- blue rubber sphere"], "answer": "D) video_1 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10197.mp4", "dataset/clvr/video_validation/video_10198.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber sphere", "B) video_1 -- yellow metal cylinder", "C) video_2 -- cyan metal cube", "D) video_2 -- red metal sphere"], "answer": "D) video_2 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10199.mp4", "dataset/clvr/video_validation/video_10200.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_2 -- red rubber cylinder", "C) video_1 -- cyan metal cube", "D) video_1 -- red metal sphere"], "answer": "D) video_1 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10200.mp4", "dataset/clvr/video_validation/video_10201.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cylinder", "B) video_2 -- green metal sphere", "C) video_2 -- green rubber cube", "D) video_1 -- red rubber cylinder"], "answer": "B) video_2 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10201.mp4", "dataset/clvr/video_validation/video_10202.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cube", "B) video_1 -- green metal sphere", "C) video_2 -- brown metal cube", "D) video_2 -- gray rubber cylinder"], "answer": "B) video_1 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10202.mp4", "dataset/clvr/video_validation/video_10203.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cube", "B) video_2 -- purple metal cylinder", "C) video_2 -- gray rubber cylinder", "D) video_1 -- gray rubber cylinder"], "answer": "C) video_2 -- gray rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10203.mp4", "dataset/clvr/video_validation/video_10204.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cylinder", "B) video_1 -- brown rubber cube", "C) video_1 -- yellow rubber cube", "D) video_2 -- cyan rubber cylinder"], "answer": "C) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_10208.mp4", "dataset/clvr/video_validation/video_10209.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cylinder", "B) video_1 -- green metal cylinder", "C) video_2 -- yellow metal cylinder", "D) video_1 -- cyan rubber cylinder"], "answer": "C) video_2 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10209.mp4", "dataset/clvr/video_validation/video_10210.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cylinder", "B) video_1 -- purple rubber cylinder", "C) video_2 -- purple metal cube", "D) video_1 -- yellow metal cylinder"], "answer": "D) video_1 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10210.mp4", "dataset/clvr/video_validation/video_10211.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cube", "B) video_1 -- cyan rubber cylinder", "C) video_1 -- yellow rubber cube", "D) video_2 -- purple metal cube"], "answer": "A) video_2 -- blue metal cube", "videos": ["dataset/clvr/video_validation/video_10212.mp4", "dataset/clvr/video_validation/video_10213.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_1 -- purple rubber cube", "C) video_2 -- blue metal sphere", "D) video_1 -- red rubber sphere"], "answer": "A) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10218.mp4", "dataset/clvr/video_validation/video_10219.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_2 -- green rubber cube", "C) video_1 -- blue rubber cube", "D) video_2 -- yellow metal cylinder"], "answer": "C) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10221.mp4", "dataset/clvr/video_validation/video_10222.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal sphere", "B) video_1 -- yellow metal cylinder", "C) video_2 -- cyan rubber cylinder", "D) video_1 -- green rubber cube"], "answer": "A) video_2 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10222.mp4", "dataset/clvr/video_validation/video_10223.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cube", "B) video_1 -- purple metal sphere", "C) video_2 -- blue metal cylinder", "D) video_1 -- cyan rubber cylinder"], "answer": "B) video_1 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10223.mp4", "dataset/clvr/video_validation/video_10224.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber sphere", "B) video_1 -- purple metal cube", "C) video_1 -- blue metal cylinder", "D) video_2 -- red metal sphere"], "answer": "A) video_2 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_10224.mp4", "dataset/clvr/video_validation/video_10225.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cylinder", "B) video_1 -- red metal sphere", "C) video_1 -- green rubber sphere", "D) video_2 -- brown rubber cylinder"], "answer": "D) video_2 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10225.mp4", "dataset/clvr/video_validation/video_10226.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cylinder", "B) video_2 -- purple metal cylinder", "C) video_2 -- cyan rubber cylinder", "D) video_1 -- cyan metal cube"], "answer": "B) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10228.mp4", "dataset/clvr/video_validation/video_10229.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cylinder", "B) video_2 -- blue rubber cube", "C) video_1 -- cyan metal cube", "D) video_2 -- yellow rubber cube"], "answer": "C) video_1 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_10230.mp4", "dataset/clvr/video_validation/video_10231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cube", "B) video_1 -- yellow rubber cube", "C) video_2 -- yellow metal cylinder", "D) video_2 -- green metal cube"], "answer": "D) video_2 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_10231.mp4", "dataset/clvr/video_validation/video_10232.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cylinder", "B) video_1 -- brown rubber cylinder", "C) video_2 -- yellow metal sphere", "D) video_1 -- yellow metal cube"], "answer": "B) video_1 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10235.mp4", "dataset/clvr/video_validation/video_10236.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber sphere", "B) video_2 -- blue rubber sphere", "C) video_1 -- green rubber sphere", "D) video_1 -- gray metal sphere"], "answer": "A) video_2 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10243.mp4", "dataset/clvr/video_validation/video_10244.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber sphere", "B) video_2 -- yellow rubber cube", "C) video_2 -- blue metal sphere", "D) video_1 -- purple rubber sphere"], "answer": "D) video_1 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10244.mp4", "dataset/clvr/video_validation/video_10245.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cylinder", "B) video_1 -- purple metal sphere", "C) video_2 -- red metal cylinder", "D) video_2 -- brown rubber cylinder"], "answer": "D) video_2 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10246.mp4", "dataset/clvr/video_validation/video_10247.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cube", "B) video_1 -- brown metal sphere", "C) video_2 -- red metal sphere", "D) video_2 -- red metal cylinder"], "answer": "D) video_2 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_10251.mp4", "dataset/clvr/video_validation/video_10252.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_2 -- red metal cube", "C) video_1 -- purple rubber cylinder", "D) video_2 -- yellow rubber cylinder"], "answer": "D) video_2 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10253.mp4", "dataset/clvr/video_validation/video_10254.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cube", "B) video_1 -- blue metal sphere", "C) video_2 -- cyan metal cylinder", "D) video_1 -- purple rubber cylinder"], "answer": "B) video_1 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_10256.mp4", "dataset/clvr/video_validation/video_10257.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cube", "B) video_2 -- green rubber cylinder", "C) video_2 -- gray metal cylinder", "D) video_1 -- red metal cube"], "answer": "B) video_2 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10259.mp4", "dataset/clvr/video_validation/video_10260.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cube", "B) video_1 -- green metal sphere", "C) video_2 -- brown metal sphere", "D) video_1 -- green metal cylinder"], "answer": "D) video_1 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_10263.mp4", "dataset/clvr/video_validation/video_10264.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cube", "B) video_1 -- cyan rubber cylinder", "C) video_2 -- cyan rubber cube", "D) video_1 -- gray metal sphere"], "answer": "B) video_1 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10269.mp4", "dataset/clvr/video_validation/video_10270.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cube", "B) video_2 -- red metal sphere", "C) video_1 -- blue metal cube", "D) video_2 -- red metal cylinder"], "answer": "B) video_2 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10270.mp4", "dataset/clvr/video_validation/video_10271.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cube", "B) video_2 -- yellow metal sphere", "C) video_1 -- green rubber cylinder", "D) video_2 -- brown rubber cylinder"], "answer": "C) video_1 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10274.mp4", "dataset/clvr/video_validation/video_10275.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cube", "B) video_1 -- brown rubber cylinder", "C) video_2 -- gray metal sphere", "D) video_1 -- yellow metal sphere"], "answer": "A) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10275.mp4", "dataset/clvr/video_validation/video_10276.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cube", "B) video_1 -- purple rubber cube", "C) video_1 -- gray rubber sphere", "D) video_2 -- red rubber cube"], "answer": "C) video_1 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_10277.mp4", "dataset/clvr/video_validation/video_10278.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cylinder", "B) video_1 -- red rubber cube", "C) video_2 -- gray rubber sphere", "D) video_1 -- gray metal cube"], "answer": "A) video_2 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_10278.mp4", "dataset/clvr/video_validation/video_10279.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cube", "B) video_1 -- gray metal sphere", "C) video_2 -- green rubber sphere", "D) video_2 -- red metal cube"], "answer": "B) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10283.mp4", "dataset/clvr/video_validation/video_10284.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_2 -- gray metal cylinder", "C) video_1 -- green rubber sphere", "D) video_1 -- red metal cube"], "answer": "A) video_2 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10284.mp4", "dataset/clvr/video_validation/video_10285.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cylinder", "B) video_1 -- cyan rubber cube", "C) video_2 -- purple metal cube", "D) video_2 -- blue metal cylinder"], "answer": "B) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10297.mp4", "dataset/clvr/video_validation/video_10298.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cylinder", "B) video_1 -- purple metal cube", "C) video_2 -- gray metal cylinder", "D) video_2 -- cyan metal sphere"], "answer": "C) video_2 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_10298.mp4", "dataset/clvr/video_validation/video_10299.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cube", "B) video_2 -- brown metal cylinder", "C) video_1 -- cyan metal sphere", "D) video_1 -- gray metal cylinder"], "answer": "D) video_1 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_10299.mp4", "dataset/clvr/video_validation/video_10300.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cube", "B) video_1 -- red rubber cylinder", "C) video_1 -- green rubber cylinder", "D) video_2 -- yellow rubber sphere"], "answer": "A) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10301.mp4", "dataset/clvr/video_validation/video_10302.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_2 -- brown metal cylinder", "C) video_1 -- yellow rubber sphere", "D) video_1 -- blue rubber cube"], "answer": "D) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10302.mp4", "dataset/clvr/video_validation/video_10303.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cube", "B) video_2 -- yellow rubber cube", "C) video_1 -- brown metal cylinder", "D) video_2 -- red rubber cylinder"], "answer": "D) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10303.mp4", "dataset/clvr/video_validation/video_10304.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cylinder", "B) video_1 -- gray metal cylinder", "C) video_2 -- gray metal sphere", "D) video_2 -- brown metal cylinder"], "answer": "A) video_1 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10308.mp4", "dataset/clvr/video_validation/video_10309.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cylinder", "B) video_2 -- blue rubber cylinder", "C) video_1 -- gray metal sphere", "D) video_2 -- red metal sphere"], "answer": "B) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10309.mp4", "dataset/clvr/video_validation/video_10310.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cylinder", "B) video_2 -- gray rubber cylinder", "C) video_1 -- cyan rubber cube", "D) video_2 -- purple rubber cylinder"], "answer": "B) video_2 -- gray rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10313.mp4", "dataset/clvr/video_validation/video_10314.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal sphere", "B) video_2 -- brown metal cylinder", "C) video_2 -- red metal sphere", "D) video_1 -- green metal cylinder"], "answer": "D) video_1 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_10315.mp4", "dataset/clvr/video_validation/video_10316.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal sphere", "B) video_1 -- brown metal cylinder", "C) video_2 -- gray metal sphere", "D) video_2 -- purple rubber cube"], "answer": "D) video_2 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_10316.mp4", "dataset/clvr/video_validation/video_10317.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_1 -- brown rubber cube", "C) video_1 -- purple metal sphere", "D) video_2 -- green rubber sphere"], "answer": "B) video_1 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10318.mp4", "dataset/clvr/video_validation/video_10319.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cylinder", "B) video_1 -- green rubber sphere", "C) video_2 -- green metal sphere", "D) video_2 -- cyan rubber cylinder"], "answer": "C) video_2 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10319.mp4", "dataset/clvr/video_validation/video_10320.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_2 -- purple rubber cube", "C) video_1 -- green metal sphere", "D) video_1 -- cyan rubber cylinder"], "answer": "C) video_1 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10320.mp4", "dataset/clvr/video_validation/video_10321.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber sphere", "B) video_2 -- blue rubber cylinder", "C) video_1 -- purple rubber cube", "D) video_2 -- cyan rubber sphere"], "answer": "B) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10321.mp4", "dataset/clvr/video_validation/video_10322.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cylinder", "B) video_1 -- gray rubber cylinder", "C) video_1 -- yellow rubber sphere", "D) video_2 -- red rubber cylinder"], "answer": "B) video_1 -- gray rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10329.mp4", "dataset/clvr/video_validation/video_10330.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_1 -- purple metal cylinder", "C) video_1 -- red rubber cylinder", "D) video_2 -- brown metal sphere"], "answer": "A) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10330.mp4", "dataset/clvr/video_validation/video_10331.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cylinder", "B) video_2 -- yellow rubber cylinder", "C) video_1 -- blue rubber cylinder", "D) video_1 -- yellow rubber cube"], "answer": "C) video_1 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10332.mp4", "dataset/clvr/video_validation/video_10333.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal cylinder", "B) video_2 -- yellow rubber cylinder", "C) video_2 -- gray rubber cylinder", "D) video_1 -- yellow rubber cylinder"], "answer": "C) video_2 -- gray rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10333.mp4", "dataset/clvr/video_validation/video_10334.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cube", "B) video_2 -- blue metal sphere", "C) video_1 -- blue rubber sphere", "D) video_1 -- cyan rubber sphere"], "answer": "C) video_1 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10339.mp4", "dataset/clvr/video_validation/video_10340.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cylinder", "B) video_1 -- purple metal cube", "C) video_1 -- blue metal sphere", "D) video_2 -- yellow metal cylinder"], "answer": "D) video_2 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10340.mp4", "dataset/clvr/video_validation/video_10341.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cylinder", "B) video_2 -- green rubber cube", "C) video_1 -- yellow metal cylinder", "D) video_1 -- gray metal cylinder"], "answer": "C) video_1 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10341.mp4", "dataset/clvr/video_validation/video_10342.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cube", "B) video_1 -- gray metal sphere", "C) video_1 -- red metal sphere", "D) video_2 -- blue rubber sphere"], "answer": "D) video_2 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10343.mp4", "dataset/clvr/video_validation/video_10344.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_1 -- yellow rubber cylinder", "C) video_2 -- red rubber cube", "D) video_1 -- gray metal cylinder"], "answer": "B) video_1 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10348.mp4", "dataset/clvr/video_validation/video_10349.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cylinder", "B) video_2 -- gray rubber cylinder", "C) video_1 -- gray rubber cylinder", "D) video_1 -- cyan metal cube"], "answer": "A) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10350.mp4", "dataset/clvr/video_validation/video_10351.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cube", "B) video_2 -- green rubber cube", "C) video_1 -- gray rubber cylinder", "D) video_1 -- purple metal cylinder"], "answer": "A) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10351.mp4", "dataset/clvr/video_validation/video_10352.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cube", "B) video_2 -- cyan rubber cylinder", "C) video_1 -- blue rubber cube", "D) video_2 -- purple metal cube"], "answer": "C) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10352.mp4", "dataset/clvr/video_validation/video_10353.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cube", "B) video_1 -- cyan rubber cylinder", "C) video_2 -- blue rubber cube", "D) video_2 -- purple rubber cylinder"], "answer": "C) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10353.mp4", "dataset/clvr/video_validation/video_10354.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cube", "B) video_2 -- red metal cube", "C) video_1 -- purple rubber cylinder", "D) video_2 -- purple rubber cube"], "answer": "A) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10354.mp4", "dataset/clvr/video_validation/video_10355.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_1 -- red metal cube", "C) video_1 -- purple rubber cube", "D) video_2 -- green rubber sphere"], "answer": "A) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_10355.mp4", "dataset/clvr/video_validation/video_10356.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cube", "B) video_2 -- yellow rubber cylinder", "C) video_2 -- yellow rubber cube", "D) video_1 -- purple rubber sphere"], "answer": "C) video_2 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_10359.mp4", "dataset/clvr/video_validation/video_10360.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber sphere", "B) video_1 -- yellow rubber cylinder", "C) video_1 -- yellow rubber cube", "D) video_2 -- gray metal sphere"], "answer": "C) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_10360.mp4", "dataset/clvr/video_validation/video_10361.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_1 -- gray metal sphere", "C) video_1 -- blue rubber sphere", "D) video_2 -- cyan metal sphere"], "answer": "A) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10361.mp4", "dataset/clvr/video_validation/video_10362.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal sphere", "B) video_1 -- brown metal cube", "C) video_1 -- red metal cube", "D) video_2 -- red metal cube"], "answer": "B) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_10363.mp4", "dataset/clvr/video_validation/video_10364.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_1 -- blue metal sphere", "C) video_2 -- brown metal cube", "D) video_1 -- red metal cube"], "answer": "A) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10364.mp4", "dataset/clvr/video_validation/video_10365.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cylinder", "B) video_1 -- blue metal sphere", "C) video_1 -- brown metal cylinder", "D) video_2 -- yellow rubber cube"], "answer": "C) video_1 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_10367.mp4", "dataset/clvr/video_validation/video_10368.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_2 -- green rubber cube", "C) video_1 -- gray metal cylinder", "D) video_1 -- yellow rubber cube"], "answer": "B) video_2 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_10368.mp4", "dataset/clvr/video_validation/video_10369.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal sphere", "B) video_2 -- cyan metal cube", "C) video_1 -- cyan rubber cylinder", "D) video_1 -- green rubber cube"], "answer": "D) video_1 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_10369.mp4", "dataset/clvr/video_validation/video_10370.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal sphere", "B) video_2 -- purple rubber sphere", "C) video_1 -- brown metal sphere", "D) video_1 -- cyan metal cube"], "answer": "B) video_2 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10370.mp4", "dataset/clvr/video_validation/video_10371.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cylinder", "B) video_1 -- blue metal cylinder", "C) video_2 -- yellow rubber sphere", "D) video_2 -- cyan rubber sphere"], "answer": "A) video_1 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_10372.mp4", "dataset/clvr/video_validation/video_10373.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_2 -- purple rubber cube", "C) video_1 -- cyan rubber sphere", "D) video_2 -- purple metal cylinder"], "answer": "D) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10373.mp4", "dataset/clvr/video_validation/video_10374.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cylinder", "B) video_2 -- red metal cylinder", "C) video_2 -- gray metal cylinder", "D) video_1 -- purple rubber cube"], "answer": "A) video_1 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10374.mp4", "dataset/clvr/video_validation/video_10375.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cylinder", "B) video_1 -- red metal cylinder", "C) video_2 -- brown rubber cube", "D) video_2 -- cyan rubber cube"], "answer": "C) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10375.mp4", "dataset/clvr/video_validation/video_10376.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cylinder", "B) video_1 -- yellow rubber cylinder", "C) video_2 -- brown rubber cylinder", "D) video_2 -- brown rubber cube"], "answer": "A) video_1 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10383.mp4", "dataset/clvr/video_validation/video_10384.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cylinder", "B) video_1 -- yellow rubber cylinder", "C) video_2 -- blue metal cube", "D) video_1 -- yellow rubber sphere"], "answer": "B) video_1 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10385.mp4", "dataset/clvr/video_validation/video_10386.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal sphere", "B) video_1 -- brown rubber cube", "C) video_2 -- yellow rubber sphere", "D) video_1 -- blue rubber cube"], "answer": "A) video_2 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10387.mp4", "dataset/clvr/video_validation/video_10388.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_2 -- green metal cube", "C) video_1 -- red metal sphere", "D) video_2 -- brown rubber sphere"], "answer": "C) video_1 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10388.mp4", "dataset/clvr/video_validation/video_10389.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_2 -- yellow metal cube", "C) video_1 -- brown rubber sphere", "D) video_1 -- green metal cube"], "answer": "B) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10389.mp4", "dataset/clvr/video_validation/video_10390.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal cube", "B) video_2 -- blue metal cylinder", "C) video_2 -- cyan metal cube", "D) video_1 -- green metal cylinder"], "answer": "D) video_1 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_10395.mp4", "dataset/clvr/video_validation/video_10396.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cylinder", "B) video_1 -- cyan metal cube", "C) video_2 -- purple metal sphere", "D) video_2 -- purple metal cube"], "answer": "C) video_2 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10396.mp4", "dataset/clvr/video_validation/video_10397.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_1 -- purple metal cube", "C) video_2 -- purple rubber cylinder", "D) video_2 -- yellow rubber cylinder"], "answer": "A) video_1 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10397.mp4", "dataset/clvr/video_validation/video_10398.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cube", "B) video_2 -- brown metal sphere", "C) video_1 -- yellow rubber cylinder", "D) video_1 -- purple rubber cylinder"], "answer": "A) video_2 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_10398.mp4", "dataset/clvr/video_validation/video_10399.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cube", "B) video_1 -- cyan rubber cylinder", "C) video_1 -- cyan metal sphere", "D) video_2 -- gray rubber sphere"], "answer": "D) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_10405.mp4", "dataset/clvr/video_validation/video_10406.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_2 -- green metal cube", "C) video_1 -- cyan metal cylinder", "D) video_1 -- blue metal cylinder"], "answer": "C) video_1 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_10415.mp4", "dataset/clvr/video_validation/video_10416.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_1 -- yellow rubber cube", "C) video_1 -- yellow metal cylinder", "D) video_2 -- red rubber sphere"], "answer": "C) video_1 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10417.mp4", "dataset/clvr/video_validation/video_10418.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_2 -- red metal cylinder", "C) video_1 -- red rubber sphere", "D) video_1 -- cyan rubber cylinder"], "answer": "B) video_2 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_10418.mp4", "dataset/clvr/video_validation/video_10419.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cube", "B) video_2 -- yellow rubber cylinder", "C) video_1 -- red metal cylinder", "D) video_2 -- purple metal cube"], "answer": "D) video_2 -- purple metal cube", "videos": ["dataset/clvr/video_validation/video_10419.mp4", "dataset/clvr/video_validation/video_10420.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cylinder", "B) video_1 -- green metal cube", "C) video_1 -- red rubber sphere", "D) video_2 -- brown rubber cylinder"], "answer": "B) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_10421.mp4", "dataset/clvr/video_validation/video_10422.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_1 -- red metal cylinder", "C) video_1 -- brown rubber cylinder", "D) video_2 -- cyan rubber cube"], "answer": "A) video_2 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10422.mp4", "dataset/clvr/video_validation/video_10423.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cylinder", "B) video_2 -- gray metal sphere", "C) video_2 -- purple rubber cube", "D) video_1 -- cyan rubber sphere"], "answer": "A) video_1 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10430.mp4", "dataset/clvr/video_validation/video_10431.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cube", "B) video_1 -- purple rubber cube", "C) video_2 -- red metal sphere", "D) video_1 -- gray metal sphere"], "answer": "A) video_2 -- blue metal cube", "videos": ["dataset/clvr/video_validation/video_10431.mp4", "dataset/clvr/video_validation/video_10432.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cube", "B) video_2 -- purple metal cylinder", "C) video_2 -- blue metal cube", "D) video_1 -- red metal sphere"], "answer": "A) video_1 -- blue metal cube", "videos": ["dataset/clvr/video_validation/video_10432.mp4", "dataset/clvr/video_validation/video_10433.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cube", "B) video_2 -- brown metal cube", "C) video_1 -- purple metal cylinder", "D) video_1 -- blue metal cube"], "answer": "B) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_10433.mp4", "dataset/clvr/video_validation/video_10434.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal cylinder", "B) video_2 -- gray rubber cube", "C) video_1 -- gray metal cylinder", "D) video_1 -- blue metal sphere"], "answer": "D) video_1 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_10435.mp4", "dataset/clvr/video_validation/video_10436.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cube", "B) video_2 -- yellow metal cube", "C) video_1 -- gray metal sphere", "D) video_2 -- purple metal sphere"], "answer": "B) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10437.mp4", "dataset/clvr/video_validation/video_10438.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cube", "B) video_1 -- red rubber sphere", "C) video_2 -- gray metal sphere", "D) video_2 -- brown metal sphere"], "answer": "A) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10440.mp4", "dataset/clvr/video_validation/video_10441.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cube", "B) video_2 -- cyan rubber sphere", "C) video_1 -- brown metal sphere", "D) video_1 -- gray metal sphere"], "answer": "B) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10441.mp4", "dataset/clvr/video_validation/video_10442.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber sphere", "B) video_1 -- yellow rubber cube", "C) video_2 -- green metal cube", "D) video_2 -- brown metal cylinder"], "answer": "A) video_1 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10442.mp4", "dataset/clvr/video_validation/video_10443.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_1 -- green metal cube", "C) video_1 -- brown metal cylinder", "D) video_2 -- red rubber sphere"], "answer": "A) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10443.mp4", "dataset/clvr/video_validation/video_10444.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_2 -- red metal sphere", "C) video_1 -- gray metal sphere", "D) video_1 -- blue rubber cylinder"], "answer": "C) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10447.mp4", "dataset/clvr/video_validation/video_10448.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cylinder", "B) video_1 -- cyan rubber cylinder", "C) video_1 -- red metal sphere", "D) video_2 -- cyan rubber sphere"], "answer": "D) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10448.mp4", "dataset/clvr/video_validation/video_10449.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cylinder", "B) video_1 -- purple metal sphere", "C) video_2 -- gray rubber cylinder", "D) video_1 -- red metal sphere"], "answer": "B) video_1 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10450.mp4", "dataset/clvr/video_validation/video_10451.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cube", "B) video_2 -- gray rubber cylinder", "C) video_1 -- yellow rubber sphere", "D) video_2 -- cyan rubber cube"], "answer": "C) video_1 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_10461.mp4", "dataset/clvr/video_validation/video_10462.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal sphere", "B) video_1 -- cyan metal sphere", "C) video_2 -- yellow metal cube", "D) video_1 -- yellow metal sphere"], "answer": "B) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10465.mp4", "dataset/clvr/video_validation/video_10466.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cylinder", "B) video_1 -- green metal sphere", "C) video_2 -- brown rubber sphere", "D) video_1 -- gray metal cube"], "answer": "B) video_1 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10467.mp4", "dataset/clvr/video_validation/video_10468.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cylinder", "B) video_2 -- yellow rubber cube", "C) video_1 -- brown rubber sphere", "D) video_2 -- red rubber cylinder"], "answer": "D) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10468.mp4", "dataset/clvr/video_validation/video_10469.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cylinder", "B) video_1 -- red rubber cylinder", "C) video_2 -- cyan metal cube", "D) video_2 -- gray rubber cylinder"], "answer": "A) video_1 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10470.mp4", "dataset/clvr/video_validation/video_10471.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cylinder", "B) video_1 -- cyan metal cube", "C) video_2 -- gray rubber sphere", "D) video_2 -- brown rubber cylinder"], "answer": "C) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_10471.mp4", "dataset/clvr/video_validation/video_10472.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_1 -- red metal cube", "C) video_2 -- cyan rubber cube", "D) video_1 -- cyan metal cylinder"], "answer": "D) video_1 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_10474.mp4", "dataset/clvr/video_validation/video_10475.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_1 -- red metal cylinder", "C) video_1 -- blue metal sphere", "D) video_2 -- purple metal sphere"], "answer": "D) video_2 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10476.mp4", "dataset/clvr/video_validation/video_10477.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cube", "B) video_1 -- purple metal sphere", "C) video_2 -- purple metal cylinder", "D) video_2 -- gray rubber sphere"], "answer": "B) video_1 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10477.mp4", "dataset/clvr/video_validation/video_10478.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber sphere", "B) video_2 -- cyan metal cylinder", "C) video_2 -- green metal sphere", "D) video_1 -- green rubber cube"], "answer": "B) video_2 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_10479.mp4", "dataset/clvr/video_validation/video_10480.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber sphere", "B) video_1 -- green metal sphere", "C) video_1 -- cyan metal cylinder", "D) video_2 -- green metal cube"], "answer": "C) video_1 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_10480.mp4", "dataset/clvr/video_validation/video_10481.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cylinder", "B) video_2 -- yellow rubber cylinder", "C) video_1 -- purple rubber sphere", "D) video_1 -- yellow metal sphere"], "answer": "C) video_1 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10488.mp4", "dataset/clvr/video_validation/video_10489.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cylinder", "B) video_1 -- yellow rubber cylinder", "C) video_2 -- red metal sphere", "D) video_2 -- purple rubber cylinder"], "answer": "C) video_2 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10489.mp4", "dataset/clvr/video_validation/video_10490.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber sphere", "B) video_1 -- red metal cube", "C) video_2 -- cyan metal cylinder", "D) video_2 -- purple rubber cylinder"], "answer": "C) video_2 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_10496.mp4", "dataset/clvr/video_validation/video_10497.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cylinder", "B) video_1 -- cyan rubber cylinder", "C) video_2 -- yellow rubber cylinder", "D) video_1 -- cyan metal cube"], "answer": "B) video_1 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10505.mp4", "dataset/clvr/video_validation/video_10506.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_1 -- brown rubber cylinder", "C) video_2 -- gray metal cube", "D) video_1 -- yellow rubber cylinder"], "answer": "A) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10506.mp4", "dataset/clvr/video_validation/video_10507.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_2 -- red metal cylinder", "C) video_1 -- cyan rubber cylinder", "D) video_1 -- green rubber sphere"], "answer": "B) video_2 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_10511.mp4", "dataset/clvr/video_validation/video_10512.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal sphere", "B) video_2 -- gray rubber sphere", "C) video_2 -- blue rubber cylinder", "D) video_1 -- purple metal cylinder"], "answer": "D) video_1 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10521.mp4", "dataset/clvr/video_validation/video_10522.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cube", "B) video_2 -- red rubber cylinder", "C) video_2 -- cyan rubber cube", "D) video_1 -- gray metal sphere"], "answer": "B) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10525.mp4", "dataset/clvr/video_validation/video_10526.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cylinder", "B) video_1 -- gray rubber sphere", "C) video_2 -- red metal sphere", "D) video_1 -- cyan rubber cube"], "answer": "D) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10527.mp4", "dataset/clvr/video_validation/video_10528.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_1 -- cyan metal cylinder", "C) video_2 -- cyan rubber cube", "D) video_1 -- red metal sphere"], "answer": "A) video_2 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10528.mp4", "dataset/clvr/video_validation/video_10529.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber sphere", "B) video_2 -- cyan metal cylinder", "C) video_2 -- yellow metal sphere", "D) video_1 -- purple metal cube"], "answer": "A) video_1 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_10530.mp4", "dataset/clvr/video_validation/video_10531.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal cylinder", "B) video_1 -- purple metal cube", "C) video_2 -- green rubber cube", "D) video_1 -- brown rubber cube"], "answer": "A) video_2 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_10536.mp4", "dataset/clvr/video_validation/video_10537.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cube", "B) video_1 -- purple rubber sphere", "C) video_2 -- red metal cube", "D) video_2 -- brown metal cylinder"], "answer": "A) video_1 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_10538.mp4", "dataset/clvr/video_validation/video_10539.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cylinder", "B) video_2 -- purple metal cube", "C) video_2 -- gray metal cube", "D) video_1 -- red metal cube"], "answer": "B) video_2 -- purple metal cube", "videos": ["dataset/clvr/video_validation/video_10539.mp4", "dataset/clvr/video_validation/video_10540.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber sphere", "B) video_2 -- brown metal cylinder", "C) video_1 -- blue metal sphere", "D) video_1 -- yellow metal cylinder"], "answer": "A) video_2 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_10543.mp4", "dataset/clvr/video_validation/video_10544.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber sphere", "B) video_2 -- red rubber cube", "C) video_2 -- blue metal cylinder", "D) video_1 -- brown metal cylinder"], "answer": "A) video_1 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_10544.mp4", "dataset/clvr/video_validation/video_10545.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_1 -- blue metal sphere", "C) video_2 -- red metal sphere", "D) video_1 -- cyan metal sphere"], "answer": "C) video_2 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10550.mp4", "dataset/clvr/video_validation/video_10551.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_1 -- red metal sphere", "C) video_2 -- blue rubber cylinder", "D) video_1 -- red rubber sphere"], "answer": "B) video_1 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10551.mp4", "dataset/clvr/video_validation/video_10552.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber sphere", "B) video_2 -- purple rubber cube", "C) video_1 -- blue metal cylinder", "D) video_2 -- gray rubber sphere"], "answer": "D) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_10553.mp4", "dataset/clvr/video_validation/video_10554.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber sphere", "B) video_1 -- purple rubber cube", "C) video_2 -- gray metal sphere", "D) video_2 -- red rubber cube"], "answer": "A) video_1 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_10554.mp4", "dataset/clvr/video_validation/video_10555.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cylinder", "B) video_2 -- yellow rubber sphere", "C) video_1 -- green metal sphere", "D) video_2 -- purple rubber cube"], "answer": "C) video_1 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10564.mp4", "dataset/clvr/video_validation/video_10565.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cube", "B) video_2 -- purple metal cylinder", "C) video_1 -- purple rubber cube", "D) video_1 -- yellow rubber sphere"], "answer": "B) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10565.mp4", "dataset/clvr/video_validation/video_10566.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal sphere", "B) video_2 -- blue rubber cylinder", "C) video_1 -- blue rubber cylinder", "D) video_1 -- cyan rubber cylinder"], "answer": "D) video_1 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10571.mp4", "dataset/clvr/video_validation/video_10572.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cylinder", "B) video_1 -- blue rubber cylinder", "C) video_2 -- blue metal sphere", "D) video_2 -- blue rubber cube"], "answer": "A) video_1 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10573.mp4", "dataset/clvr/video_validation/video_10574.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_2 -- green metal cylinder", "C) video_2 -- yellow rubber cylinder", "D) video_1 -- blue rubber cube"], "answer": "C) video_2 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10574.mp4", "dataset/clvr/video_validation/video_10575.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cylinder", "B) video_2 -- red rubber sphere", "C) video_2 -- cyan metal cylinder", "D) video_1 -- purple metal cylinder"], "answer": "A) video_1 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10576.mp4", "dataset/clvr/video_validation/video_10577.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cylinder", "B) video_2 -- green rubber sphere", "C) video_2 -- brown rubber cylinder", "D) video_1 -- red rubber sphere"], "answer": "B) video_2 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_10577.mp4", "dataset/clvr/video_validation/video_10578.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber sphere", "B) video_2 -- brown rubber cube", "C) video_1 -- brown metal cube", "D) video_1 -- cyan metal cube"], "answer": "B) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10580.mp4", "dataset/clvr/video_validation/video_10581.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_1 -- brown rubber cube", "C) video_2 -- red rubber cube", "D) video_1 -- yellow rubber sphere"], "answer": "B) video_1 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10581.mp4", "dataset/clvr/video_validation/video_10582.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cube", "B) video_2 -- yellow rubber cube", "C) video_2 -- brown rubber cube", "D) video_1 -- red rubber cube"], "answer": "C) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10582.mp4", "dataset/clvr/video_validation/video_10583.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal sphere", "B) video_1 -- brown rubber cube", "C) video_1 -- yellow rubber cube", "D) video_2 -- green rubber cube"], "answer": "B) video_1 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10583.mp4", "dataset/clvr/video_validation/video_10584.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_1 -- green rubber cube", "C) video_2 -- cyan rubber sphere", "D) video_1 -- green metal sphere"], "answer": "C) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10584.mp4", "dataset/clvr/video_validation/video_10585.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cube", "B) video_2 -- gray rubber cylinder", "C) video_2 -- green rubber cube", "D) video_1 -- cyan metal sphere"], "answer": "D) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10589.mp4", "dataset/clvr/video_validation/video_10590.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber sphere", "B) video_2 -- green rubber sphere", "C) video_2 -- cyan metal sphere", "D) video_1 -- gray metal cube"], "answer": "B) video_2 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_10593.mp4", "dataset/clvr/video_validation/video_10594.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal cylinder", "B) video_1 -- green rubber sphere", "C) video_2 -- red rubber sphere", "D) video_1 -- cyan metal sphere"], "answer": "B) video_1 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_10594.mp4", "dataset/clvr/video_validation/video_10595.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cube", "B) video_2 -- green metal cube", "C) video_2 -- blue rubber cylinder", "D) video_1 -- brown rubber cube"], "answer": "A) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_10596.mp4", "dataset/clvr/video_validation/video_10597.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal sphere", "B) video_2 -- blue rubber cube", "C) video_2 -- green metal cylinder", "D) video_1 -- cyan rubber sphere"], "answer": "B) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10609.mp4", "dataset/clvr/video_validation/video_10610.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal sphere", "B) video_2 -- green metal sphere", "C) video_2 -- brown metal cylinder", "D) video_1 -- brown rubber cube"], "answer": "B) video_2 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10620.mp4", "dataset/clvr/video_validation/video_10621.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cube", "B) video_2 -- blue metal cylinder", "C) video_2 -- green rubber cylinder", "D) video_1 -- yellow metal cube"], "answer": "A) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_10624.mp4", "dataset/clvr/video_validation/video_10625.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber sphere", "B) video_2 -- cyan metal cylinder", "C) video_2 -- purple rubber cube", "D) video_1 -- purple metal cylinder"], "answer": "D) video_1 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10628.mp4", "dataset/clvr/video_validation/video_10629.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cylinder", "B) video_1 -- purple rubber cube", "C) video_2 -- purple rubber cube", "D) video_2 -- yellow rubber cube"], "answer": "C) video_2 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_10629.mp4", "dataset/clvr/video_validation/video_10630.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber sphere", "B) video_2 -- red rubber sphere", "C) video_1 -- green metal cylinder", "D) video_2 -- brown metal cube"], "answer": "A) video_1 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_10631.mp4", "dataset/clvr/video_validation/video_10632.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cube", "B) video_1 -- brown metal cube", "C) video_2 -- purple rubber cylinder", "D) video_1 -- red rubber sphere"], "answer": "A) video_2 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_10632.mp4", "dataset/clvr/video_validation/video_10633.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber sphere", "B) video_1 -- gray rubber cube", "C) video_1 -- purple rubber cylinder", "D) video_2 -- red metal cube"], "answer": "B) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_10633.mp4", "dataset/clvr/video_validation/video_10634.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cube", "B) video_2 -- green metal sphere", "C) video_1 -- red metal cube", "D) video_1 -- purple rubber sphere"], "answer": "D) video_1 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10634.mp4", "dataset/clvr/video_validation/video_10635.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cube", "B) video_2 -- red metal cube", "C) video_1 -- green metal sphere", "D) video_2 -- blue rubber cylinder"], "answer": "D) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10635.mp4", "dataset/clvr/video_validation/video_10636.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cylinder", "B) video_1 -- green rubber sphere", "C) video_2 -- blue metal sphere", "D) video_2 -- purple rubber cube"], "answer": "A) video_1 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10644.mp4", "dataset/clvr/video_validation/video_10645.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber sphere", "B) video_2 -- purple rubber sphere", "C) video_2 -- red rubber cylinder", "D) video_1 -- brown metal cylinder"], "answer": "C) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10653.mp4", "dataset/clvr/video_validation/video_10654.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber sphere", "B) video_2 -- gray metal cylinder", "C) video_2 -- red rubber cube", "D) video_1 -- red rubber cylinder"], "answer": "D) video_1 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10654.mp4", "dataset/clvr/video_validation/video_10655.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cube", "B) video_1 -- gray metal cylinder", "C) video_2 -- yellow rubber sphere", "D) video_2 -- brown rubber sphere"], "answer": "C) video_2 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_10655.mp4", "dataset/clvr/video_validation/video_10656.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_1 -- brown metal cylinder", "C) video_2 -- yellow rubber cylinder", "D) video_1 -- red metal cube"], "answer": "B) video_1 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_10657.mp4", "dataset/clvr/video_validation/video_10658.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_1 -- yellow metal cube", "C) video_1 -- yellow rubber cylinder", "D) video_2 -- cyan metal sphere"], "answer": "D) video_2 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10658.mp4", "dataset/clvr/video_validation/video_10659.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_1 -- cyan metal sphere", "C) video_2 -- green rubber cylinder", "D) video_1 -- cyan rubber cube"], "answer": "B) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10659.mp4", "dataset/clvr/video_validation/video_10660.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber sphere", "B) video_2 -- purple rubber sphere", "C) video_1 -- green rubber cylinder", "D) video_2 -- blue rubber sphere"], "answer": "D) video_2 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10660.mp4", "dataset/clvr/video_validation/video_10661.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_2 -- brown rubber cylinder", "C) video_1 -- yellow metal cube", "D) video_2 -- purple metal sphere"], "answer": "C) video_1 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10664.mp4", "dataset/clvr/video_validation/video_10665.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cube", "B) video_2 -- purple metal cylinder", "C) video_2 -- brown metal sphere", "D) video_1 -- blue rubber cube"], "answer": "D) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10674.mp4", "dataset/clvr/video_validation/video_10675.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_2 -- gray rubber cube", "C) video_1 -- gray rubber cylinder", "D) video_2 -- red metal cylinder"], "answer": "A) video_1 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_10680.mp4", "dataset/clvr/video_validation/video_10681.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_1 -- red metal cylinder", "C) video_2 -- gray metal sphere", "D) video_2 -- purple rubber sphere"], "answer": "D) video_2 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10681.mp4", "dataset/clvr/video_validation/video_10682.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_2 -- green rubber cube", "C) video_1 -- cyan metal cube", "D) video_1 -- blue metal cylinder"], "answer": "D) video_1 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_10683.mp4", "dataset/clvr/video_validation/video_10684.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cube", "B) video_1 -- purple metal cylinder", "C) video_2 -- cyan metal sphere", "D) video_1 -- purple rubber cube"], "answer": "C) video_2 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10688.mp4", "dataset/clvr/video_validation/video_10689.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_2 -- green metal sphere", "C) video_1 -- cyan metal sphere", "D) video_2 -- yellow rubber cylinder"], "answer": "C) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10689.mp4", "dataset/clvr/video_validation/video_10690.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_1 -- yellow rubber cylinder", "C) video_2 -- gray metal sphere", "D) video_1 -- green metal sphere"], "answer": "A) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10690.mp4", "dataset/clvr/video_validation/video_10691.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cylinder", "B) video_1 -- gray metal cylinder", "C) video_2 -- brown metal cylinder", "D) video_1 -- brown rubber cylinder"], "answer": "B) video_1 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_10694.mp4", "dataset/clvr/video_validation/video_10695.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cylinder", "B) video_2 -- cyan metal cube", "C) video_2 -- brown rubber cylinder", "D) video_1 -- brown metal cylinder"], "answer": "C) video_2 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10695.mp4", "dataset/clvr/video_validation/video_10696.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber sphere", "B) video_1 -- brown rubber cube", "C) video_2 -- red rubber cube", "D) video_1 -- red rubber sphere"], "answer": "D) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10698.mp4", "dataset/clvr/video_validation/video_10699.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_1 -- brown rubber sphere", "C) video_2 -- cyan rubber cylinder", "D) video_1 -- red rubber cube"], "answer": "A) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10699.mp4", "dataset/clvr/video_validation/video_10700.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber sphere", "B) video_1 -- cyan rubber cylinder", "C) video_2 -- gray metal sphere", "D) video_1 -- yellow metal cube"], "answer": "C) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10700.mp4", "dataset/clvr/video_validation/video_10701.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_1 -- blue rubber sphere", "C) video_2 -- green metal sphere", "D) video_2 -- purple rubber cube"], "answer": "A) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10701.mp4", "dataset/clvr/video_validation/video_10702.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cube", "B) video_1 -- yellow metal sphere", "C) video_2 -- brown metal cylinder", "D) video_1 -- yellow metal cylinder"], "answer": "D) video_1 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10709.mp4", "dataset/clvr/video_validation/video_10710.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cylinder", "B) video_2 -- purple metal sphere", "C) video_1 -- green metal cube", "D) video_2 -- gray rubber cube"], "answer": "B) video_2 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10710.mp4", "dataset/clvr/video_validation/video_10711.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber sphere", "B) video_2 -- cyan rubber cube", "C) video_2 -- brown rubber sphere", "D) video_1 -- blue metal sphere"], "answer": "A) video_1 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10717.mp4", "dataset/clvr/video_validation/video_10718.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber sphere", "B) video_1 -- cyan rubber cube", "C) video_2 -- purple rubber sphere", "D) video_2 -- cyan metal cube"], "answer": "C) video_2 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10718.mp4", "dataset/clvr/video_validation/video_10719.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_1 -- purple rubber sphere", "C) video_2 -- blue rubber sphere", "D) video_2 -- purple rubber cube"], "answer": "B) video_1 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10719.mp4", "dataset/clvr/video_validation/video_10720.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cube", "B) video_2 -- cyan rubber cube", "C) video_2 -- red metal cube", "D) video_1 -- brown metal cube"], "answer": "C) video_2 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_10726.mp4", "dataset/clvr/video_validation/video_10727.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cylinder", "B) video_1 -- yellow rubber cube", "C) video_1 -- red metal sphere", "D) video_2 -- yellow metal cube"], "answer": "D) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10731.mp4", "dataset/clvr/video_validation/video_10732.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cylinder", "B) video_1 -- yellow metal cube", "C) video_2 -- gray metal sphere", "D) video_1 -- green metal cylinder"], "answer": "B) video_1 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10732.mp4", "dataset/clvr/video_validation/video_10733.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_1 -- yellow metal cylinder", "C) video_2 -- red rubber sphere", "D) video_1 -- gray metal sphere"], "answer": "A) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10733.mp4", "dataset/clvr/video_validation/video_10734.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cylinder", "B) video_1 -- green metal cylinder", "C) video_2 -- green metal sphere", "D) video_1 -- brown metal cube"], "answer": "D) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_10737.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cylinder", "B) video_2 -- purple metal sphere", "C) video_2 -- cyan rubber sphere", "D) video_1 -- green metal sphere"], "answer": "B) video_2 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10739.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cube", "B) video_1 -- cyan rubber sphere", "C) video_2 -- gray metal sphere", "D) video_1 -- purple metal sphere"], "answer": "D) video_1 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10739.mp4", "dataset/clvr/video_validation/video_10740.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_2 -- green metal cylinder", "C) video_1 -- purple rubber cube", "D) video_1 -- gray metal sphere"], "answer": "A) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10740.mp4", "dataset/clvr/video_validation/video_10741.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal sphere", "B) video_1 -- green metal cylinder", "C) video_2 -- green metal sphere", "D) video_1 -- red rubber sphere"], "answer": "D) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10741.mp4", "dataset/clvr/video_validation/video_10742.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_1 -- purple rubber cube", "C) video_2 -- blue metal cube", "D) video_1 -- gray metal sphere"], "answer": "C) video_2 -- blue metal cube", "videos": ["dataset/clvr/video_validation/video_10743.mp4", "dataset/clvr/video_validation/video_10744.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal sphere", "B) video_1 -- blue rubber cube", "C) video_1 -- gray rubber cylinder", "D) video_2 -- gray rubber cube"], "answer": "B) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_10747.mp4", "dataset/clvr/video_validation/video_10748.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cylinder", "B) video_2 -- gray rubber sphere", "C) video_1 -- gray metal sphere", "D) video_1 -- blue metal sphere"], "answer": "C) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10756.mp4", "dataset/clvr/video_validation/video_10757.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_2 -- brown metal cylinder", "C) video_1 -- red rubber sphere", "D) video_2 -- green metal sphere"], "answer": "B) video_2 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_10758.mp4", "dataset/clvr/video_validation/video_10759.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cube", "B) video_1 -- yellow metal cube", "C) video_2 -- green metal cylinder", "D) video_1 -- green rubber cylinder"], "answer": "B) video_1 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10760.mp4", "dataset/clvr/video_validation/video_10761.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cylinder", "B) video_2 -- purple rubber cube", "C) video_1 -- red metal cube", "D) video_2 -- gray rubber cylinder"], "answer": "B) video_2 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_10761.mp4", "dataset/clvr/video_validation/video_10762.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal sphere", "B) video_1 -- red rubber cube", "C) video_1 -- cyan rubber cylinder", "D) video_2 -- gray rubber sphere"], "answer": "C) video_1 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10764.mp4", "dataset/clvr/video_validation/video_10765.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_1 -- purple rubber cylinder", "C) video_2 -- purple metal cube", "D) video_1 -- gray rubber cylinder"], "answer": "C) video_2 -- purple metal cube", "videos": ["dataset/clvr/video_validation/video_10766.mp4", "dataset/clvr/video_validation/video_10767.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cube", "B) video_2 -- yellow rubber cube", "C) video_1 -- green metal cylinder", "D) video_2 -- blue rubber sphere"], "answer": "C) video_1 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_10773.mp4", "dataset/clvr/video_validation/video_10774.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_2 -- gray metal cube", "C) video_1 -- blue rubber sphere", "D) video_1 -- yellow rubber cube"], "answer": "C) video_1 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10774.mp4", "dataset/clvr/video_validation/video_10775.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_1 -- yellow rubber cylinder", "C) video_1 -- gray metal cube", "D) video_2 -- gray metal sphere"], "answer": "A) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10775.mp4", "dataset/clvr/video_validation/video_10776.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cylinder", "B) video_1 -- gray metal sphere", "C) video_1 -- yellow metal cube", "D) video_2 -- cyan rubber cube"], "answer": "C) video_1 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10776.mp4", "dataset/clvr/video_validation/video_10777.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_1 -- gray metal cylinder", "C) video_1 -- cyan rubber cube", "D) video_2 -- cyan metal cube"], "answer": "A) video_2 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10777.mp4", "dataset/clvr/video_validation/video_10778.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal sphere", "B) video_1 -- cyan rubber cube", "C) video_1 -- cyan metal cube", "D) video_2 -- purple rubber sphere"], "answer": "B) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_10778.mp4", "dataset/clvr/video_validation/video_10779.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber sphere", "B) video_2 -- blue metal cylinder", "C) video_2 -- cyan rubber sphere", "D) video_1 -- blue rubber cylinder"], "answer": "C) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_10781.mp4", "dataset/clvr/video_validation/video_10782.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_2 -- brown rubber cube", "C) video_2 -- blue rubber sphere", "D) video_1 -- brown metal sphere"], "answer": "D) video_1 -- brown metal sphere", "videos": ["dataset/clvr/video_validation/video_10784.mp4", "dataset/clvr/video_validation/video_10785.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber sphere", "B) video_1 -- blue rubber sphere", "C) video_1 -- brown rubber cube", "D) video_2 -- blue metal cube"], "answer": "B) video_1 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10785.mp4", "dataset/clvr/video_validation/video_10786.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_1 -- blue metal cube", "C) video_2 -- cyan metal cylinder", "D) video_2 -- purple metal cylinder"], "answer": "D) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10786.mp4", "dataset/clvr/video_validation/video_10787.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_1 -- cyan metal cylinder", "C) video_2 -- green metal cube", "D) video_1 -- purple metal cylinder"], "answer": "A) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10787.mp4", "dataset/clvr/video_validation/video_10788.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cube", "B) video_1 -- red rubber sphere", "C) video_2 -- purple metal cube", "D) video_2 -- purple metal sphere"], "answer": "B) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10788.mp4", "dataset/clvr/video_validation/video_10789.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cube", "B) video_1 -- yellow rubber cube", "C) video_2 -- yellow metal cube", "D) video_2 -- brown metal sphere"], "answer": "A) video_1 -- red rubber cube", "videos": ["dataset/clvr/video_validation/video_10790.mp4", "dataset/clvr/video_validation/video_10791.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cube", "B) video_1 -- yellow metal cube", "C) video_2 -- red metal sphere", "D) video_1 -- brown metal sphere"], "answer": "A) video_2 -- red rubber cube", "videos": ["dataset/clvr/video_validation/video_10791.mp4", "dataset/clvr/video_validation/video_10792.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_2 -- red rubber sphere", "C) video_1 -- red rubber cube", "D) video_1 -- red metal sphere"], "answer": "C) video_1 -- red rubber cube", "videos": ["dataset/clvr/video_validation/video_10792.mp4", "dataset/clvr/video_validation/video_10793.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal cylinder", "B) video_2 -- green metal cylinder", "C) video_1 -- red rubber sphere", "D) video_1 -- cyan rubber cube"], "answer": "A) video_2 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_10793.mp4", "dataset/clvr/video_validation/video_10794.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cylinder", "B) video_1 -- green metal cylinder", "C) video_2 -- yellow rubber cube", "D) video_2 -- blue metal sphere"], "answer": "A) video_1 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_10794.mp4", "dataset/clvr/video_validation/video_10795.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cylinder", "B) video_1 -- yellow rubber cube", "C) video_2 -- green rubber cube", "D) video_1 -- blue metal sphere"], "answer": "C) video_2 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_10795.mp4", "dataset/clvr/video_validation/video_10796.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_2 -- cyan rubber cylinder", "C) video_1 -- gray rubber cylinder", "D) video_2 -- purple rubber cube"], "answer": "B) video_2 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10803.mp4", "dataset/clvr/video_validation/video_10804.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal sphere", "B) video_1 -- red rubber cube", "C) video_1 -- gray metal sphere", "D) video_2 -- red metal sphere"], "answer": "C) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10812.mp4", "dataset/clvr/video_validation/video_10813.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_2 -- yellow rubber cylinder", "C) video_1 -- red metal sphere", "D) video_1 -- green metal sphere"], "answer": "B) video_2 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10813.mp4", "dataset/clvr/video_validation/video_10814.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cylinder", "B) video_2 -- brown rubber cube", "C) video_1 -- red metal sphere", "D) video_1 -- cyan rubber sphere"], "answer": "A) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10817.mp4", "dataset/clvr/video_validation/video_10818.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cylinder", "B) video_2 -- yellow rubber sphere", "C) video_1 -- blue rubber cylinder", "D) video_1 -- brown rubber cube"], "answer": "C) video_1 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10818.mp4", "dataset/clvr/video_validation/video_10819.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cube", "B) video_1 -- gray rubber cylinder", "C) video_2 -- gray rubber sphere", "D) video_2 -- red metal cylinder"], "answer": "B) video_1 -- gray rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10826.mp4", "dataset/clvr/video_validation/video_10827.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cube", "B) video_2 -- gray metal sphere", "C) video_1 -- red metal cylinder", "D) video_1 -- gray rubber sphere"], "answer": "C) video_1 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_10827.mp4", "dataset/clvr/video_validation/video_10828.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_2 -- green metal sphere", "C) video_2 -- green rubber sphere", "D) video_1 -- cyan metal cube"], "answer": "B) video_2 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10828.mp4", "dataset/clvr/video_validation/video_10829.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cylinder", "B) video_1 -- red metal cube", "C) video_2 -- cyan metal cube", "D) video_1 -- brown metal sphere"], "answer": "B) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_10834.mp4", "dataset/clvr/video_validation/video_10835.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cube", "B) video_1 -- cyan metal cube", "C) video_1 -- gray metal cylinder", "D) video_2 -- purple rubber sphere"], "answer": "D) video_2 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_10835.mp4", "dataset/clvr/video_validation/video_10836.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_1 -- cyan metal cube", "C) video_1 -- yellow rubber cylinder", "D) video_2 -- cyan rubber sphere"], "answer": "C) video_1 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10841.mp4", "dataset/clvr/video_validation/video_10842.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal sphere", "B) video_1 -- cyan rubber sphere", "C) video_1 -- red rubber sphere", "D) video_2 -- yellow metal cylinder"], "answer": "D) video_2 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10842.mp4", "dataset/clvr/video_validation/video_10843.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cylinder", "B) video_2 -- blue metal sphere", "C) video_1 -- yellow metal cylinder", "D) video_1 -- yellow metal sphere"], "answer": "C) video_1 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10843.mp4", "dataset/clvr/video_validation/video_10844.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber sphere", "B) video_1 -- gray metal cylinder", "C) video_1 -- blue metal sphere", "D) video_2 -- blue metal cube"], "answer": "D) video_2 -- blue metal cube", "videos": ["dataset/clvr/video_validation/video_10844.mp4", "dataset/clvr/video_validation/video_10845.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cylinder", "B) video_1 -- brown metal cube", "C) video_2 -- cyan metal cylinder", "D) video_1 -- red metal sphere"], "answer": "D) video_1 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10847.mp4", "dataset/clvr/video_validation/video_10848.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_1 -- red rubber sphere", "C) video_2 -- blue rubber sphere", "D) video_1 -- gray rubber sphere"], "answer": "C) video_2 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10853.mp4", "dataset/clvr/video_validation/video_10854.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_2 -- gray rubber cylinder", "C) video_2 -- gray rubber cube", "D) video_1 -- cyan metal cube"], "answer": "D) video_1 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_10856.mp4", "dataset/clvr/video_validation/video_10857.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cube", "B) video_1 -- gray rubber cylinder", "C) video_2 -- purple metal sphere", "D) video_1 -- gray rubber cube"], "answer": "A) video_2 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_10857.mp4", "dataset/clvr/video_validation/video_10858.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_1 -- green rubber cube", "C) video_1 -- blue rubber cube", "D) video_2 -- red rubber cube"], "answer": "B) video_1 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_10859.mp4", "dataset/clvr/video_validation/video_10860.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cube", "B) video_2 -- brown metal cylinder", "C) video_1 -- brown rubber cube", "D) video_2 -- gray metal sphere"], "answer": "D) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10860.mp4", "dataset/clvr/video_validation/video_10861.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber sphere", "B) video_1 -- brown metal cylinder", "C) video_1 -- gray metal sphere", "D) video_2 -- brown metal sphere"], "answer": "C) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_10861.mp4", "dataset/clvr/video_validation/video_10862.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cylinder", "B) video_2 -- purple rubber sphere", "C) video_1 -- purple rubber cylinder", "D) video_2 -- yellow metal cylinder"], "answer": "C) video_1 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10864.mp4", "dataset/clvr/video_validation/video_10865.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_1 -- purple rubber sphere", "C) video_2 -- blue metal cylinder", "D) video_1 -- yellow metal cylinder"], "answer": "C) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_10865.mp4", "dataset/clvr/video_validation/video_10866.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_2 -- brown metal cylinder", "C) video_1 -- yellow metal cube", "D) video_1 -- blue metal cylinder"], "answer": "D) video_1 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_10866.mp4", "dataset/clvr/video_validation/video_10867.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cylinder", "B) video_1 -- green rubber cylinder", "C) video_2 -- red rubber cylinder", "D) video_2 -- purple rubber cube"], "answer": "D) video_2 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_10868.mp4", "dataset/clvr/video_validation/video_10869.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber sphere", "B) video_2 -- gray metal cube", "C) video_1 -- red metal cube", "D) video_1 -- green metal cylinder"], "answer": "C) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_10871.mp4", "dataset/clvr/video_validation/video_10872.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cylinder", "B) video_1 -- yellow rubber sphere", "C) video_1 -- gray metal cube", "D) video_2 -- purple rubber cylinder"], "answer": "A) video_2 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_10872.mp4", "dataset/clvr/video_validation/video_10873.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal sphere", "B) video_1 -- brown metal cube", "C) video_2 -- purple rubber cylinder", "D) video_1 -- green metal cylinder"], "answer": "A) video_2 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_10874.mp4", "dataset/clvr/video_validation/video_10875.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cube", "B) video_2 -- red metal cube", "C) video_1 -- green rubber cylinder", "D) video_1 -- green metal sphere"], "answer": "D) video_1 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_10877.mp4", "dataset/clvr/video_validation/video_10878.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal sphere", "B) video_1 -- purple rubber sphere", "C) video_2 -- red rubber sphere", "D) video_2 -- blue metal cube"], "answer": "C) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10879.mp4", "dataset/clvr/video_validation/video_10880.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cube", "B) video_2 -- blue metal cube", "C) video_1 -- red rubber sphere", "D) video_2 -- yellow metal cylinder"], "answer": "C) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10880.mp4", "dataset/clvr/video_validation/video_10881.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cube", "B) video_2 -- green rubber cylinder", "C) video_2 -- gray rubber sphere", "D) video_1 -- gray metal cylinder"], "answer": "B) video_2 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10882.mp4", "dataset/clvr/video_validation/video_10883.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_1 -- yellow metal sphere", "C) video_2 -- red rubber cube", "D) video_1 -- green rubber cylinder"], "answer": "B) video_1 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_10886.mp4", "dataset/clvr/video_validation/video_10887.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cylinder", "B) video_2 -- red metal sphere", "C) video_1 -- green metal cylinder", "D) video_1 -- cyan rubber cylinder"], "answer": "C) video_1 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_10889.mp4", "dataset/clvr/video_validation/video_10890.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_2 -- cyan rubber sphere", "C) video_1 -- red metal sphere", "D) video_1 -- brown rubber cylinder"], "answer": "A) video_2 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10890.mp4", "dataset/clvr/video_validation/video_10891.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal sphere", "B) video_2 -- green metal cylinder", "C) video_2 -- yellow metal sphere", "D) video_1 -- red rubber sphere"], "answer": "D) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10894.mp4", "dataset/clvr/video_validation/video_10895.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cylinder", "B) video_2 -- purple metal cylinder", "C) video_2 -- yellow rubber sphere", "D) video_1 -- green rubber cylinder"], "answer": "B) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_10896.mp4", "dataset/clvr/video_validation/video_10897.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cube", "B) video_2 -- gray rubber cylinder", "C) video_1 -- brown metal cylinder", "D) video_2 -- brown rubber cube"], "answer": "C) video_1 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_10899.mp4", "dataset/clvr/video_validation/video_10900.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cube", "B) video_2 -- green metal cube", "C) video_1 -- gray rubber cylinder", "D) video_2 -- gray rubber cube"], "answer": "B) video_2 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_10900.mp4", "dataset/clvr/video_validation/video_10901.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cylinder", "B) video_1 -- purple rubber cube", "C) video_1 -- gray metal cylinder", "D) video_2 -- blue metal sphere"], "answer": "B) video_1 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_10910.mp4", "dataset/clvr/video_validation/video_10911.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber sphere", "B) video_1 -- cyan metal cube", "C) video_1 -- cyan metal sphere", "D) video_2 -- red metal sphere"], "answer": "C) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10912.mp4", "dataset/clvr/video_validation/video_10913.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber sphere", "B) video_2 -- blue rubber cylinder", "C) video_1 -- red metal sphere", "D) video_2 -- green rubber sphere"], "answer": "D) video_2 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_10913.mp4", "dataset/clvr/video_validation/video_10914.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cylinder", "B) video_1 -- cyan rubber cylinder", "C) video_2 -- yellow metal cube", "D) video_2 -- red metal cylinder"], "answer": "C) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10916.mp4", "dataset/clvr/video_validation/video_10917.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cylinder", "B) video_2 -- yellow metal cylinder", "C) video_1 -- red metal sphere", "D) video_1 -- purple rubber cylinder"], "answer": "D) video_1 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10918.mp4", "dataset/clvr/video_validation/video_10919.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_1 -- purple rubber cylinder", "C) video_2 -- gray metal sphere", "D) video_1 -- yellow metal cylinder"], "answer": "A) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_10919.mp4", "dataset/clvr/video_validation/video_10920.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cylinder", "B) video_2 -- blue metal cube", "C) video_2 -- brown metal cube", "D) video_1 -- gray rubber sphere"], "answer": "C) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_10921.mp4", "dataset/clvr/video_validation/video_10922.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal sphere", "B) video_1 -- blue metal cube", "C) video_2 -- cyan metal sphere", "D) video_1 -- brown metal cube"], "answer": "D) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_10922.mp4", "dataset/clvr/video_validation/video_10923.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cylinder", "B) video_1 -- red metal sphere", "C) video_2 -- yellow metal cube", "D) video_1 -- cyan metal sphere"], "answer": "C) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10923.mp4", "dataset/clvr/video_validation/video_10924.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber sphere", "B) video_1 -- brown metal cube", "C) video_2 -- blue metal sphere", "D) video_2 -- green rubber cylinder"], "answer": "A) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_10925.mp4", "dataset/clvr/video_validation/video_10926.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_2 -- blue rubber cube", "C) video_1 -- green rubber cylinder", "D) video_2 -- green metal cube"], "answer": "D) video_2 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_10926.mp4", "dataset/clvr/video_validation/video_10927.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cube", "B) video_2 -- red metal cube", "C) video_2 -- blue metal sphere", "D) video_1 -- blue rubber cube"], "answer": "B) video_2 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_10927.mp4", "dataset/clvr/video_validation/video_10928.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_1 -- cyan metal sphere", "C) video_1 -- yellow metal cylinder", "D) video_2 -- gray rubber cube"], "answer": "C) video_1 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_10929.mp4", "dataset/clvr/video_validation/video_10930.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cylinder", "B) video_2 -- blue metal cylinder", "C) video_1 -- gray rubber cube", "D) video_2 -- gray metal cylinder"], "answer": "B) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_10930.mp4", "dataset/clvr/video_validation/video_10931.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cube", "B) video_2 -- gray rubber sphere", "C) video_1 -- brown metal cylinder", "D) video_1 -- cyan metal cylinder"], "answer": "A) video_2 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_10938.mp4", "dataset/clvr/video_validation/video_10939.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber sphere", "B) video_2 -- green metal sphere", "C) video_2 -- gray metal cube", "D) video_1 -- green metal cube"], "answer": "D) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_10939.mp4", "dataset/clvr/video_validation/video_10940.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cylinder", "B) video_1 -- green metal sphere", "C) video_2 -- red metal cube", "D) video_1 -- gray metal cube"], "answer": "A) video_2 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_10940.mp4", "dataset/clvr/video_validation/video_10941.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cube", "B) video_2 -- green rubber sphere", "C) video_1 -- red rubber cylinder", "D) video_2 -- purple rubber sphere"], "answer": "C) video_1 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_10943.mp4", "dataset/clvr/video_validation/video_10944.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber sphere", "B) video_2 -- green rubber cylinder", "C) video_1 -- purple rubber sphere", "D) video_2 -- purple metal cube"], "answer": "D) video_2 -- purple metal cube", "videos": ["dataset/clvr/video_validation/video_10944.mp4", "dataset/clvr/video_validation/video_10945.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal sphere", "B) video_1 -- red rubber cube", "C) video_1 -- red metal sphere", "D) video_2 -- red metal cube"], "answer": "C) video_1 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_10951.mp4", "dataset/clvr/video_validation/video_10952.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_1 -- yellow metal cylinder", "C) video_1 -- brown rubber cube", "D) video_2 -- yellow metal sphere"], "answer": "D) video_2 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_10957.mp4", "dataset/clvr/video_validation/video_10958.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cube", "B) video_1 -- yellow metal sphere", "C) video_1 -- yellow rubber cylinder", "D) video_2 -- purple metal sphere"], "answer": "B) video_1 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_10958.mp4", "dataset/clvr/video_validation/video_10959.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cube", "B) video_1 -- yellow metal sphere", "C) video_2 -- red rubber cube", "D) video_1 -- gray rubber cube"], "answer": "D) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_10960.mp4", "dataset/clvr/video_validation/video_10961.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cube", "B) video_1 -- gray metal cube", "C) video_2 -- brown rubber cube", "D) video_2 -- red metal sphere"], "answer": "C) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_10961.mp4", "dataset/clvr/video_validation/video_10962.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal sphere", "B) video_1 -- gray rubber sphere", "C) video_2 -- cyan metal sphere", "D) video_1 -- blue metal cube"], "answer": "C) video_2 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_10967.mp4", "dataset/clvr/video_validation/video_10968.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal sphere", "B) video_1 -- red metal cube", "C) video_1 -- brown rubber cube", "D) video_2 -- yellow rubber cylinder"], "answer": "B) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_10969.mp4", "dataset/clvr/video_validation/video_10970.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cube", "B) video_1 -- green metal sphere", "C) video_1 -- yellow rubber cylinder", "D) video_2 -- yellow rubber cube"], "answer": "D) video_2 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_10970.mp4", "dataset/clvr/video_validation/video_10971.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_1 -- yellow rubber cube", "C) video_1 -- blue metal cube", "D) video_2 -- gray metal cylinder"], "answer": "B) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_10971.mp4", "dataset/clvr/video_validation/video_10972.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_1 -- gray metal cylinder", "C) video_1 -- cyan rubber cube", "D) video_2 -- brown rubber sphere"], "answer": "A) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_10972.mp4", "dataset/clvr/video_validation/video_10973.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cylinder", "B) video_1 -- gray metal sphere", "C) video_2 -- red metal cylinder", "D) video_2 -- blue metal cube"], "answer": "C) video_2 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_10974.mp4", "dataset/clvr/video_validation/video_10975.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_1 -- blue rubber sphere", "C) video_1 -- purple metal sphere", "D) video_2 -- purple rubber cube"], "answer": "B) video_1 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_10985.mp4", "dataset/clvr/video_validation/video_10986.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cube", "B) video_2 -- purple metal cylinder", "C) video_1 -- gray rubber cylinder", "D) video_1 -- blue metal sphere"], "answer": "D) video_1 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_10987.mp4", "dataset/clvr/video_validation/video_10988.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cube", "B) video_1 -- yellow rubber sphere", "C) video_2 -- red rubber cube", "D) video_2 -- gray metal sphere"], "answer": "B) video_1 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_10991.mp4", "dataset/clvr/video_validation/video_10992.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cube", "B) video_2 -- green rubber cube", "C) video_1 -- purple rubber cube", "D) video_2 -- brown rubber sphere"], "answer": "A) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11006.mp4", "dataset/clvr/video_validation/video_11007.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_1 -- green metal cube", "C) video_2 -- yellow rubber cube", "D) video_1 -- yellow metal sphere"], "answer": "D) video_1 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_11010.mp4", "dataset/clvr/video_validation/video_11011.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cylinder", "B) video_1 -- red metal cube", "C) video_2 -- cyan metal cube", "D) video_1 -- purple metal cylinder"], "answer": "D) video_1 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_11012.mp4", "dataset/clvr/video_validation/video_11013.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber sphere", "B) video_2 -- green rubber sphere", "C) video_1 -- cyan metal cube", "D) video_1 -- gray rubber cylinder"], "answer": "A) video_2 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_11013.mp4", "dataset/clvr/video_validation/video_11014.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber sphere", "B) video_2 -- cyan metal cube", "C) video_1 -- green rubber sphere", "D) video_1 -- yellow rubber sphere"], "answer": "D) video_1 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_11014.mp4", "dataset/clvr/video_validation/video_11015.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cylinder", "B) video_2 -- blue metal cylinder", "C) video_1 -- blue rubber sphere", "D) video_1 -- cyan metal cube"], "answer": "B) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11015.mp4", "dataset/clvr/video_validation/video_11016.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber sphere", "B) video_1 -- brown rubber cube", "C) video_1 -- blue rubber sphere", "D) video_2 -- blue metal cylinder"], "answer": "B) video_1 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_11025.mp4", "dataset/clvr/video_validation/video_11026.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cylinder", "B) video_1 -- cyan rubber sphere", "C) video_2 -- brown rubber sphere", "D) video_2 -- green rubber cube"], "answer": "D) video_2 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_11029.mp4", "dataset/clvr/video_validation/video_11030.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber sphere", "B) video_1 -- green rubber cube", "C) video_2 -- yellow rubber cylinder", "D) video_2 -- yellow metal sphere"], "answer": "B) video_1 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_11030.mp4", "dataset/clvr/video_validation/video_11031.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_2 -- cyan metal sphere", "C) video_1 -- green rubber cylinder", "D) video_1 -- cyan rubber cylinder"], "answer": "A) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_11032.mp4", "dataset/clvr/video_validation/video_11033.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_1 -- cyan metal sphere", "C) video_1 -- gray metal sphere", "D) video_2 -- gray rubber cube"], "answer": "C) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_11033.mp4", "dataset/clvr/video_validation/video_11034.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cylinder", "B) video_1 -- gray metal cylinder", "C) video_1 -- gray rubber cylinder", "D) video_2 -- green rubber cylinder"], "answer": "B) video_1 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_11047.mp4", "dataset/clvr/video_validation/video_11048.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cube", "B) video_2 -- purple rubber cube", "C) video_1 -- yellow metal cylinder", "D) video_1 -- brown rubber cube"], "answer": "B) video_2 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_11049.mp4", "dataset/clvr/video_validation/video_11050.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_2 -- red rubber sphere", "C) video_2 -- purple metal sphere", "D) video_1 -- purple rubber cube"], "answer": "D) video_1 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_11050.mp4", "dataset/clvr/video_validation/video_11051.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_1 -- brown metal sphere", "C) video_2 -- red rubber cube", "D) video_1 -- gray rubber sphere"], "answer": "A) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11052.mp4", "dataset/clvr/video_validation/video_11053.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_2 -- purple metal cube", "C) video_1 -- brown rubber sphere", "D) video_2 -- blue metal cube"], "answer": "C) video_1 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_11059.mp4", "dataset/clvr/video_validation/video_11060.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_1 -- purple metal cube", "C) video_1 -- blue metal cube", "D) video_2 -- yellow rubber sphere"], "answer": "A) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11060.mp4", "dataset/clvr/video_validation/video_11061.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal cube", "B) video_2 -- green rubber sphere", "C) video_2 -- brown metal cube", "D) video_1 -- purple metal cylinder"], "answer": "D) video_1 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_11062.mp4", "dataset/clvr/video_validation/video_11063.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal sphere", "B) video_1 -- green rubber sphere", "C) video_2 -- yellow metal cube", "D) video_1 -- brown metal cube"], "answer": "C) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_11063.mp4", "dataset/clvr/video_validation/video_11064.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_1 -- purple metal cylinder", "C) video_1 -- brown metal cube", "D) video_2 -- gray metal sphere"], "answer": "B) video_1 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_11067.mp4", "dataset/clvr/video_validation/video_11068.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal sphere", "B) video_1 -- gray metal sphere", "C) video_2 -- green rubber cube", "D) video_1 -- cyan rubber cylinder"], "answer": "A) video_2 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_11068.mp4", "dataset/clvr/video_validation/video_11069.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cube", "B) video_1 -- red rubber cylinder", "C) video_2 -- gray rubber cube", "D) video_1 -- green metal cube"], "answer": "A) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_11075.mp4", "dataset/clvr/video_validation/video_11076.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_2 -- gray rubber sphere", "C) video_1 -- brown rubber cube", "D) video_1 -- gray rubber cube"], "answer": "C) video_1 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_11076.mp4", "dataset/clvr/video_validation/video_11077.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cylinder", "B) video_2 -- brown metal sphere", "C) video_1 -- yellow rubber sphere", "D) video_2 -- gray metal cube"], "answer": "C) video_1 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_11080.mp4", "dataset/clvr/video_validation/video_11081.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_2 -- brown rubber cylinder", "C) video_1 -- brown metal sphere", "D) video_1 -- gray metal cube"], "answer": "A) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11081.mp4", "dataset/clvr/video_validation/video_11082.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_1 -- green metal sphere", "C) video_2 -- blue metal cube", "D) video_2 -- brown rubber cube"], "answer": "A) video_1 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_11083.mp4", "dataset/clvr/video_validation/video_11084.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_2 -- blue rubber cube", "C) video_1 -- blue metal cube", "D) video_1 -- brown rubber cube"], "answer": "B) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_11084.mp4", "dataset/clvr/video_validation/video_11085.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cylinder", "B) video_1 -- brown rubber sphere", "C) video_2 -- cyan rubber cylinder", "D) video_2 -- purple metal cube"], "answer": "A) video_1 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11093.mp4", "dataset/clvr/video_validation/video_11094.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cylinder", "B) video_2 -- brown metal cylinder", "C) video_2 -- cyan rubber cylinder", "D) video_1 -- purple metal cube"], "answer": "B) video_2 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_11094.mp4", "dataset/clvr/video_validation/video_11095.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cube", "B) video_1 -- yellow rubber cylinder", "C) video_2 -- blue metal cylinder", "D) video_1 -- brown metal cube"], "answer": "A) video_2 -- blue metal cube", "videos": ["dataset/clvr/video_validation/video_11097.mp4", "dataset/clvr/video_validation/video_11098.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cube", "B) video_1 -- blue metal cube", "C) video_1 -- blue metal cylinder", "D) video_2 -- red metal cylinder"], "answer": "B) video_1 -- blue metal cube", "videos": ["dataset/clvr/video_validation/video_11098.mp4", "dataset/clvr/video_validation/video_11099.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber sphere", "B) video_1 -- gray rubber cylinder", "C) video_2 -- gray rubber sphere", "D) video_1 -- cyan metal cube"], "answer": "C) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_11100.mp4", "dataset/clvr/video_validation/video_11101.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal sphere", "B) video_2 -- yellow rubber cylinder", "C) video_2 -- red metal sphere", "D) video_1 -- yellow metal cylinder"], "answer": "A) video_1 -- brown metal sphere", "videos": ["dataset/clvr/video_validation/video_11114.mp4", "dataset/clvr/video_validation/video_11115.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal sphere", "B) video_2 -- yellow rubber cylinder", "C) video_1 -- yellow rubber cylinder", "D) video_2 -- gray rubber sphere"], "answer": "D) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_11115.mp4", "dataset/clvr/video_validation/video_11116.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cube", "B) video_2 -- blue metal cylinder", "C) video_2 -- green rubber sphere", "D) video_1 -- green rubber cube"], "answer": "A) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_11126.mp4", "dataset/clvr/video_validation/video_11127.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber sphere", "B) video_2 -- green rubber cylinder", "C) video_1 -- blue metal cylinder", "D) video_2 -- yellow metal sphere"], "answer": "B) video_2 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11127.mp4", "dataset/clvr/video_validation/video_11128.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cylinder", "B) video_2 -- yellow rubber cylinder", "C) video_2 -- purple rubber cube", "D) video_1 -- yellow metal sphere"], "answer": "A) video_1 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11128.mp4", "dataset/clvr/video_validation/video_11129.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal sphere", "B) video_1 -- yellow rubber cylinder", "C) video_1 -- purple rubber cube", "D) video_2 -- yellow rubber cube"], "answer": "A) video_2 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_11129.mp4", "dataset/clvr/video_validation/video_11130.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal sphere", "B) video_1 -- yellow rubber cube", "C) video_1 -- cyan metal sphere", "D) video_2 -- blue metal cylinder"], "answer": "C) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_11130.mp4", "dataset/clvr/video_validation/video_11131.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cylinder", "B) video_2 -- blue metal cylinder", "C) video_1 -- purple metal sphere", "D) video_2 -- yellow metal cube"], "answer": "D) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_11131.mp4", "dataset/clvr/video_validation/video_11132.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cylinder", "B) video_2 -- green metal sphere", "C) video_1 -- green metal cube", "D) video_2 -- brown rubber cylinder"], "answer": "A) video_1 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11133.mp4", "dataset/clvr/video_validation/video_11134.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cube", "B) video_1 -- green metal sphere", "C) video_2 -- green rubber sphere", "D) video_1 -- brown rubber cylinder"], "answer": "A) video_2 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11134.mp4", "dataset/clvr/video_validation/video_11135.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal sphere", "B) video_1 -- green rubber sphere", "C) video_1 -- gray rubber cube", "D) video_2 -- gray rubber sphere"], "answer": "C) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11135.mp4", "dataset/clvr/video_validation/video_11136.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber sphere", "B) video_2 -- brown metal cube", "C) video_1 -- red metal cylinder", "D) video_1 -- brown metal cylinder"], "answer": "C) video_1 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_11138.mp4", "dataset/clvr/video_validation/video_11139.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cube", "B) video_1 -- purple rubber sphere", "C) video_2 -- green metal cylinder", "D) video_1 -- brown metal cube"], "answer": "A) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_11139.mp4", "dataset/clvr/video_validation/video_11140.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cylinder", "B) video_1 -- blue rubber cube", "C) video_2 -- yellow rubber cube", "D) video_2 -- gray metal cylinder"], "answer": "B) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_11140.mp4", "dataset/clvr/video_validation/video_11141.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cube", "B) video_2 -- gray rubber cylinder", "C) video_2 -- purple rubber cylinder", "D) video_1 -- gray metal cylinder"], "answer": "C) video_2 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11141.mp4", "dataset/clvr/video_validation/video_11142.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cylinder", "B) video_2 -- green metal sphere", "C) video_1 -- cyan metal cylinder", "D) video_2 -- green rubber cylinder"], "answer": "D) video_2 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11143.mp4", "dataset/clvr/video_validation/video_11144.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber sphere", "B) video_2 -- purple rubber sphere", "C) video_2 -- cyan rubber cube", "D) video_1 -- red metal cube"], "answer": "A) video_1 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_11145.mp4", "dataset/clvr/video_validation/video_11146.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cube", "B) video_1 -- purple rubber sphere", "C) video_2 -- brown rubber cylinder", "D) video_2 -- blue rubber sphere"], "answer": "C) video_2 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11146.mp4", "dataset/clvr/video_validation/video_11147.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cylinder", "B) video_1 -- green rubber cylinder", "C) video_2 -- blue rubber sphere", "D) video_2 -- blue metal sphere"], "answer": "D) video_2 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_11155.mp4", "dataset/clvr/video_validation/video_11156.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cylinder", "B) video_1 -- cyan metal cube", "C) video_2 -- red rubber sphere", "D) video_2 -- green metal cylinder"], "answer": "B) video_1 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_11157.mp4", "dataset/clvr/video_validation/video_11158.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cylinder", "B) video_2 -- gray rubber cube", "C) video_1 -- red rubber sphere", "D) video_2 -- blue metal cylinder"], "answer": "D) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11158.mp4", "dataset/clvr/video_validation/video_11159.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cube", "B) video_2 -- brown metal cylinder", "C) video_1 -- blue metal cylinder", "D) video_1 -- gray rubber cube"], "answer": "C) video_1 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11159.mp4", "dataset/clvr/video_validation/video_11160.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cylinder", "B) video_1 -- cyan metal cube", "C) video_2 -- purple rubber sphere", "D) video_2 -- green rubber cylinder"], "answer": "D) video_2 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11160.mp4", "dataset/clvr/video_validation/video_11161.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_2 -- yellow rubber cube", "C) video_2 -- green rubber cube", "D) video_1 -- gray metal cube"], "answer": "D) video_1 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11165.mp4", "dataset/clvr/video_validation/video_11166.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cylinder", "B) video_2 -- yellow rubber sphere", "C) video_1 -- purple rubber cube", "D) video_2 -- green metal sphere"], "answer": "B) video_2 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_11167.mp4", "dataset/clvr/video_validation/video_11168.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber sphere", "B) video_1 -- green rubber sphere", "C) video_1 -- purple rubber sphere", "D) video_2 -- purple metal cube"], "answer": "C) video_1 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_11170.mp4", "dataset/clvr/video_validation/video_11171.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cube", "B) video_1 -- blue rubber sphere", "C) video_1 -- purple metal cube", "D) video_2 -- blue rubber sphere"], "answer": "D) video_2 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_11171.mp4", "dataset/clvr/video_validation/video_11172.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_2 -- purple metal cylinder", "C) video_1 -- red rubber cube", "D) video_1 -- blue rubber sphere"], "answer": "D) video_1 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_11172.mp4", "dataset/clvr/video_validation/video_11173.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber sphere", "B) video_2 -- brown rubber cube", "C) video_2 -- brown metal sphere", "D) video_1 -- gray metal cylinder"], "answer": "B) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_11175.mp4", "dataset/clvr/video_validation/video_11176.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cube", "B) video_1 -- blue rubber cube", "C) video_2 -- red rubber cube", "D) video_1 -- yellow metal sphere"], "answer": "D) video_1 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_11179.mp4", "dataset/clvr/video_validation/video_11180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_2 -- blue metal sphere", "C) video_1 -- green metal sphere", "D) video_2 -- red rubber cube"], "answer": "A) video_1 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_11186.mp4", "dataset/clvr/video_validation/video_11187.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cube", "B) video_1 -- blue metal sphere", "C) video_2 -- blue metal cylinder", "D) video_2 -- purple rubber cube"], "answer": "D) video_2 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_11187.mp4", "dataset/clvr/video_validation/video_11188.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal cylinder", "B) video_1 -- blue metal cylinder", "C) video_2 -- brown metal cube", "D) video_2 -- gray metal sphere"], "answer": "C) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11190.mp4", "dataset/clvr/video_validation/video_11191.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cube", "B) video_2 -- brown rubber sphere", "C) video_1 -- gray metal sphere", "D) video_1 -- brown metal cube"], "answer": "D) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11191.mp4", "dataset/clvr/video_validation/video_11192.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber sphere", "B) video_2 -- cyan metal cube", "C) video_1 -- purple rubber cube", "D) video_2 -- brown metal cube"], "answer": "D) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11192.mp4", "dataset/clvr/video_validation/video_11193.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_1 -- brown metal cube", "C) video_2 -- purple metal cylinder", "D) video_2 -- gray rubber sphere"], "answer": "B) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11193.mp4", "dataset/clvr/video_validation/video_11194.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_1 -- gray rubber sphere", "C) video_1 -- purple metal cylinder", "D) video_2 -- red rubber cylinder"], "answer": "D) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11194.mp4", "dataset/clvr/video_validation/video_11195.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_1 -- purple metal sphere", "C) video_2 -- purple metal sphere", "D) video_2 -- brown metal sphere"], "answer": "B) video_1 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_11196.mp4", "dataset/clvr/video_validation/video_11197.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_2 -- gray metal cylinder", "C) video_1 -- brown rubber sphere", "D) video_2 -- blue rubber cube"], "answer": "D) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_11206.mp4", "dataset/clvr/video_validation/video_11207.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal cylinder", "B) video_2 -- gray rubber cylinder", "C) video_1 -- yellow rubber sphere", "D) video_2 -- blue rubber sphere"], "answer": "A) video_1 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_11211.mp4", "dataset/clvr/video_validation/video_11212.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_1 -- red rubber cylinder", "C) video_2 -- green metal sphere", "D) video_1 -- purple metal cube"], "answer": "A) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_11214.mp4", "dataset/clvr/video_validation/video_11215.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber sphere", "B) video_1 -- green metal sphere", "C) video_2 -- gray metal cube", "D) video_1 -- yellow metal cube"], "answer": "A) video_2 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_11215.mp4", "dataset/clvr/video_validation/video_11216.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_1 -- blue rubber cylinder", "C) video_2 -- gray rubber cube", "D) video_1 -- cyan rubber cylinder"], "answer": "C) video_2 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11226.mp4", "dataset/clvr/video_validation/video_11227.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cube", "B) video_2 -- brown rubber cube", "C) video_1 -- blue rubber cube", "D) video_1 -- yellow metal cube"], "answer": "B) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_11232.mp4", "dataset/clvr/video_validation/video_11233.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cube", "B) video_1 -- brown rubber cube", "C) video_2 -- purple metal sphere", "D) video_1 -- purple rubber cube"], "answer": "B) video_1 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_11233.mp4", "dataset/clvr/video_validation/video_11234.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal sphere", "B) video_2 -- yellow rubber cube", "C) video_2 -- yellow rubber sphere", "D) video_1 -- yellow rubber cube"], "answer": "D) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11238.mp4", "dataset/clvr/video_validation/video_11239.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal cylinder", "B) video_1 -- yellow rubber cube", "C) video_2 -- green rubber sphere", "D) video_1 -- yellow rubber sphere"], "answer": "A) video_2 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_11239.mp4", "dataset/clvr/video_validation/video_11240.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal sphere", "B) video_2 -- green rubber cube", "C) video_1 -- brown metal cylinder", "D) video_1 -- green rubber sphere"], "answer": "C) video_1 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_11240.mp4", "dataset/clvr/video_validation/video_11241.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber sphere", "B) video_1 -- green metal cylinder", "C) video_1 -- blue rubber cube", "D) video_2 -- blue rubber cylinder"], "answer": "D) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11247.mp4", "dataset/clvr/video_validation/video_11248.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal sphere", "B) video_1 -- yellow metal cube", "C) video_2 -- purple rubber cylinder", "D) video_1 -- yellow rubber sphere"], "answer": "B) video_1 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_11251.mp4", "dataset/clvr/video_validation/video_11252.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal sphere", "B) video_1 -- cyan rubber cube", "C) video_1 -- green rubber cube", "D) video_2 -- yellow rubber sphere"], "answer": "D) video_2 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_11254.mp4", "dataset/clvr/video_validation/video_11255.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_1 -- brown metal sphere", "C) video_2 -- blue metal sphere", "D) video_2 -- gray metal cylinder"], "answer": "A) video_1 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_11255.mp4", "dataset/clvr/video_validation/video_11256.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_2 -- purple metal cube", "C) video_1 -- gray metal cylinder", "D) video_2 -- blue rubber cube"], "answer": "D) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_11256.mp4", "dataset/clvr/video_validation/video_11257.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_2 -- purple rubber sphere", "C) video_1 -- red metal sphere", "D) video_1 -- green metal cube"], "answer": "B) video_2 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_11260.mp4", "dataset/clvr/video_validation/video_11261.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cylinder", "B) video_2 -- red rubber sphere", "C) video_2 -- green metal sphere", "D) video_1 -- red rubber sphere"], "answer": "D) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11263.mp4", "dataset/clvr/video_validation/video_11264.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cube", "B) video_1 -- red rubber sphere", "C) video_2 -- cyan metal sphere", "D) video_1 -- green metal sphere"], "answer": "B) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11264.mp4", "dataset/clvr/video_validation/video_11265.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cylinder", "B) video_2 -- green rubber sphere", "C) video_1 -- green metal cube", "D) video_1 -- cyan metal sphere"], "answer": "A) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11265.mp4", "dataset/clvr/video_validation/video_11266.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_2 -- purple rubber sphere", "C) video_1 -- purple metal sphere", "D) video_1 -- yellow metal sphere"], "answer": "D) video_1 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_11271.mp4", "dataset/clvr/video_validation/video_11272.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cube", "B) video_1 -- purple rubber sphere", "C) video_1 -- yellow metal cube", "D) video_2 -- gray metal sphere"], "answer": "D) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_11272.mp4", "dataset/clvr/video_validation/video_11273.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cube", "B) video_2 -- brown rubber cube", "C) video_2 -- green metal sphere", "D) video_1 -- green metal cylinder"], "answer": "B) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_11278.mp4", "dataset/clvr/video_validation/video_11279.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_1 -- brown metal cylinder", "C) video_2 -- red rubber cylinder", "D) video_2 -- cyan rubber cube"], "answer": "D) video_2 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_11285.mp4", "dataset/clvr/video_validation/video_11286.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cube", "B) video_2 -- purple rubber cylinder", "C) video_2 -- purple rubber sphere", "D) video_1 -- red rubber cylinder"], "answer": "A) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_11286.mp4", "dataset/clvr/video_validation/video_11287.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal sphere", "B) video_1 -- blue metal cylinder", "C) video_2 -- green metal cylinder", "D) video_2 -- yellow metal sphere"], "answer": "D) video_2 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_11289.mp4", "dataset/clvr/video_validation/video_11290.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_1 -- yellow metal sphere", "C) video_2 -- red rubber sphere", "D) video_1 -- green metal cylinder"], "answer": "B) video_1 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_11290.mp4", "dataset/clvr/video_validation/video_11291.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cylinder", "B) video_1 -- cyan rubber sphere", "C) video_2 -- green rubber sphere", "D) video_2 -- red rubber cylinder"], "answer": "C) video_2 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_11292.mp4", "dataset/clvr/video_validation/video_11293.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cylinder", "B) video_1 -- green rubber sphere", "C) video_2 -- yellow rubber cylinder", "D) video_2 -- yellow metal cube"], "answer": "B) video_1 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_11293.mp4", "dataset/clvr/video_validation/video_11294.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cylinder", "B) video_1 -- green rubber cube", "C) video_1 -- yellow rubber cube", "D) video_2 -- purple metal cube"], "answer": "D) video_2 -- purple metal cube", "videos": ["dataset/clvr/video_validation/video_11296.mp4", "dataset/clvr/video_validation/video_11297.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_1 -- green rubber cube", "C) video_2 -- cyan rubber cylinder", "D) video_1 -- gray metal cylinder"], "answer": "D) video_1 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_11298.mp4", "dataset/clvr/video_validation/video_11299.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_1 -- gray rubber sphere", "C) video_1 -- cyan rubber cylinder", "D) video_2 -- red rubber sphere"], "answer": "A) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_11299.mp4", "dataset/clvr/video_validation/video_11300.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_1 -- purple rubber sphere", "C) video_2 -- cyan rubber cube", "D) video_1 -- blue metal cylinder"], "answer": "D) video_1 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11305.mp4", "dataset/clvr/video_validation/video_11306.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal sphere", "B) video_1 -- gray metal sphere", "C) video_2 -- green metal sphere", "D) video_1 -- cyan rubber cube"], "answer": "C) video_2 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_11306.mp4", "dataset/clvr/video_validation/video_11307.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_2 -- yellow rubber sphere", "C) video_1 -- brown metal cylinder", "D) video_1 -- green metal cube"], "answer": "D) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_11308.mp4", "dataset/clvr/video_validation/video_11309.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cylinder", "B) video_1 -- blue metal cylinder", "C) video_2 -- brown rubber sphere", "D) video_1 -- yellow rubber sphere"], "answer": "A) video_2 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11309.mp4", "dataset/clvr/video_validation/video_11310.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_2 -- red metal cube", "C) video_1 -- cyan rubber cylinder", "D) video_1 -- green rubber cylinder"], "answer": "A) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11313.mp4", "dataset/clvr/video_validation/video_11314.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cylinder", "B) video_2 -- blue metal cylinder", "C) video_2 -- gray rubber cylinder", "D) video_1 -- green metal cube"], "answer": "D) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_11315.mp4", "dataset/clvr/video_validation/video_11316.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cube", "B) video_1 -- gray rubber cylinder", "C) video_1 -- blue metal cylinder", "D) video_2 -- red rubber cube"], "answer": "A) video_2 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_11316.mp4", "dataset/clvr/video_validation/video_11317.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cube", "B) video_2 -- red rubber cylinder", "C) video_1 -- red rubber cube", "D) video_2 -- purple metal cylinder"], "answer": "B) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11317.mp4", "dataset/clvr/video_validation/video_11318.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cylinder", "B) video_1 -- purple metal cylinder", "C) video_2 -- purple rubber sphere", "D) video_2 -- blue rubber sphere"], "answer": "A) video_1 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11318.mp4", "dataset/clvr/video_validation/video_11319.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cylinder", "B) video_2 -- green rubber cube", "C) video_1 -- green metal cube", "D) video_1 -- green rubber cylinder"], "answer": "C) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_11325.mp4", "dataset/clvr/video_validation/video_11326.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_2 -- green metal sphere", "C) video_1 -- brown rubber cube", "D) video_2 -- gray metal cylinder"], "answer": "B) video_2 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_11327.mp4", "dataset/clvr/video_validation/video_11328.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cube", "B) video_2 -- green metal sphere", "C) video_1 -- green metal sphere", "D) video_1 -- gray metal cylinder"], "answer": "C) video_1 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_11328.mp4", "dataset/clvr/video_validation/video_11329.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber sphere", "B) video_1 -- yellow metal sphere", "C) video_2 -- purple metal sphere", "D) video_1 -- green rubber cylinder"], "answer": "A) video_2 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_11330.mp4", "dataset/clvr/video_validation/video_11331.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cylinder", "B) video_2 -- blue metal cube", "C) video_1 -- blue rubber sphere", "D) video_1 -- purple metal sphere"], "answer": "C) video_1 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_11331.mp4", "dataset/clvr/video_validation/video_11332.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cube", "B) video_2 -- brown rubber cylinder", "C) video_1 -- gray rubber cylinder", "D) video_2 -- green metal sphere"], "answer": "B) video_2 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11332.mp4", "dataset/clvr/video_validation/video_11333.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cylinder", "B) video_2 -- blue rubber cube", "C) video_1 -- red rubber cylinder", "D) video_1 -- cyan rubber sphere"], "answer": "B) video_2 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_11340.mp4", "dataset/clvr/video_validation/video_11341.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal cube", "B) video_1 -- cyan metal cylinder", "C) video_1 -- yellow metal cylinder", "D) video_2 -- red metal cube"], "answer": "B) video_1 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_11346.mp4", "dataset/clvr/video_validation/video_11347.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal sphere", "B) video_2 -- brown rubber sphere", "C) video_2 -- gray metal cylinder", "D) video_1 -- brown metal cylinder"], "answer": "B) video_2 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_11349.mp4", "dataset/clvr/video_validation/video_11350.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_2 -- green rubber sphere", "C) video_1 -- green metal cube", "D) video_1 -- cyan metal sphere"], "answer": "D) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_11351.mp4", "dataset/clvr/video_validation/video_11352.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cube", "B) video_1 -- cyan rubber cylinder", "C) video_1 -- green rubber sphere", "D) video_2 -- cyan metal sphere"], "answer": "D) video_2 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_11352.mp4", "dataset/clvr/video_validation/video_11353.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cube", "B) video_2 -- brown metal cylinder", "C) video_2 -- purple rubber sphere", "D) video_1 -- purple metal cylinder"], "answer": "A) video_1 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_11360.mp4", "dataset/clvr/video_validation/video_11361.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_1 -- brown metal cube", "C) video_2 -- brown rubber cylinder", "D) video_2 -- cyan rubber cube"], "answer": "D) video_2 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_11362.mp4", "dataset/clvr/video_validation/video_11363.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber sphere", "B) video_2 -- red rubber sphere", "C) video_1 -- blue rubber sphere", "D) video_1 -- brown rubber cylinder"], "answer": "B) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11366.mp4", "dataset/clvr/video_validation/video_11367.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cylinder", "B) video_1 -- purple rubber cylinder", "C) video_2 -- yellow rubber cube", "D) video_1 -- brown rubber sphere"], "answer": "B) video_1 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11370.mp4", "dataset/clvr/video_validation/video_11371.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal sphere", "B) video_2 -- brown metal cube", "C) video_1 -- yellow rubber cube", "D) video_1 -- gray rubber cylinder"], "answer": "B) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11371.mp4", "dataset/clvr/video_validation/video_11372.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cylinder", "B) video_2 -- blue metal sphere", "C) video_1 -- green rubber cylinder", "D) video_1 -- red metal sphere"], "answer": "C) video_1 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11373.mp4", "dataset/clvr/video_validation/video_11374.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cube", "B) video_1 -- brown rubber sphere", "C) video_1 -- yellow metal cube", "D) video_2 -- purple rubber cylinder"], "answer": "C) video_1 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_11377.mp4", "dataset/clvr/video_validation/video_11378.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_1 -- yellow rubber cube", "C) video_2 -- cyan metal cube", "D) video_1 -- purple rubber cylinder"], "answer": "A) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_11378.mp4", "dataset/clvr/video_validation/video_11379.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber sphere", "B) video_2 -- cyan metal sphere", "C) video_2 -- blue rubber cylinder", "D) video_1 -- cyan metal cube"], "answer": "A) video_1 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_11379.mp4", "dataset/clvr/video_validation/video_11380.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_1 -- blue rubber cylinder", "C) video_2 -- brown rubber sphere", "D) video_1 -- cyan metal sphere"], "answer": "C) video_2 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_11380.mp4", "dataset/clvr/video_validation/video_11381.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cube", "B) video_2 -- red rubber sphere", "C) video_1 -- brown rubber sphere", "D) video_1 -- purple rubber cylinder"], "answer": "D) video_1 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11382.mp4", "dataset/clvr/video_validation/video_11383.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cube", "B) video_1 -- red rubber sphere", "C) video_2 -- red metal cylinder", "D) video_2 -- blue metal cube"], "answer": "D) video_2 -- blue metal cube", "videos": ["dataset/clvr/video_validation/video_11383.mp4", "dataset/clvr/video_validation/video_11384.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cylinder", "B) video_2 -- gray metal sphere", "C) video_1 -- blue metal cube", "D) video_1 -- red metal cylinder"], "answer": "C) video_1 -- blue metal cube", "videos": ["dataset/clvr/video_validation/video_11384.mp4", "dataset/clvr/video_validation/video_11385.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber sphere", "B) video_1 -- gray metal sphere", "C) video_1 -- blue rubber cylinder", "D) video_2 -- gray metal cylinder"], "answer": "A) video_2 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_11385.mp4", "dataset/clvr/video_validation/video_11386.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cube", "B) video_1 -- red rubber cube", "C) video_1 -- brown metal cylinder", "D) video_2 -- brown metal sphere"], "answer": "C) video_1 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_11388.mp4", "dataset/clvr/video_validation/video_11389.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_2 -- green rubber sphere", "C) video_1 -- brown rubber cube", "D) video_1 -- green rubber sphere"], "answer": "A) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11391.mp4", "dataset/clvr/video_validation/video_11392.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal cube", "B) video_1 -- brown rubber sphere", "C) video_2 -- gray rubber cylinder", "D) video_2 -- purple metal sphere"], "answer": "B) video_1 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_11396.mp4", "dataset/clvr/video_validation/video_11397.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber sphere", "B) video_2 -- yellow rubber cube", "C) video_1 -- gray rubber cylinder", "D) video_1 -- purple metal sphere"], "answer": "A) video_2 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_11397.mp4", "dataset/clvr/video_validation/video_11398.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cylinder", "B) video_1 -- red rubber cylinder", "C) video_2 -- green rubber cube", "D) video_2 -- blue rubber cylinder"], "answer": "A) video_1 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11404.mp4", "dataset/clvr/video_validation/video_11405.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cylinder", "B) video_2 -- brown rubber cylinder", "C) video_1 -- cyan metal cylinder", "D) video_1 -- blue rubber cube"], "answer": "A) video_2 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_11411.mp4", "dataset/clvr/video_validation/video_11412.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cylinder", "B) video_1 -- yellow rubber cube", "C) video_2 -- green metal cylinder", "D) video_1 -- gray rubber cylinder"], "answer": "B) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11418.mp4", "dataset/clvr/video_validation/video_11419.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_2 -- blue metal cube", "C) video_1 -- red rubber cylinder", "D) video_1 -- green metal cylinder"], "answer": "A) video_2 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11419.mp4", "dataset/clvr/video_validation/video_11420.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cylinder", "B) video_2 -- gray rubber sphere", "C) video_1 -- blue metal cube", "D) video_2 -- yellow rubber sphere"], "answer": "A) video_1 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11420.mp4", "dataset/clvr/video_validation/video_11421.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_1 -- gray rubber sphere", "C) video_2 -- green rubber cylinder", "D) video_2 -- gray metal cylinder"], "answer": "C) video_2 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11421.mp4", "dataset/clvr/video_validation/video_11422.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal sphere", "B) video_2 -- cyan metal sphere", "C) video_1 -- green rubber cylinder", "D) video_1 -- gray metal cylinder"], "answer": "C) video_1 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11422.mp4", "dataset/clvr/video_validation/video_11423.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_1 -- blue rubber cube", "C) video_2 -- yellow metal sphere", "D) video_1 -- cyan rubber cube"], "answer": "D) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_11424.mp4", "dataset/clvr/video_validation/video_11425.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal sphere", "B) video_2 -- blue metal sphere", "C) video_2 -- blue metal cylinder", "D) video_1 -- yellow rubber cylinder"], "answer": "C) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11425.mp4", "dataset/clvr/video_validation/video_11426.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber sphere", "B) video_1 -- blue metal cylinder", "C) video_2 -- blue metal cube", "D) video_1 -- blue metal sphere"], "answer": "B) video_1 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11426.mp4", "dataset/clvr/video_validation/video_11427.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber sphere", "B) video_2 -- green metal cube", "C) video_1 -- blue metal cube", "D) video_1 -- purple rubber sphere"], "answer": "A) video_2 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_11427.mp4", "dataset/clvr/video_validation/video_11428.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_1 -- green metal cube", "C) video_2 -- yellow metal cylinder", "D) video_1 -- green rubber sphere"], "answer": "D) video_1 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_11428.mp4", "dataset/clvr/video_validation/video_11429.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cylinder", "B) video_2 -- blue rubber cylinder", "C) video_1 -- cyan rubber cube", "D) video_2 -- gray rubber sphere"], "answer": "B) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11429.mp4", "dataset/clvr/video_validation/video_11430.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cylinder", "B) video_1 -- blue rubber cylinder", "C) video_2 -- cyan metal cylinder", "D) video_1 -- purple rubber sphere"], "answer": "B) video_1 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11432.mp4", "dataset/clvr/video_validation/video_11433.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cylinder", "B) video_1 -- cyan metal cylinder", "C) video_1 -- red rubber cylinder", "D) video_2 -- green rubber cylinder"], "answer": "A) video_2 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_11433.mp4", "dataset/clvr/video_validation/video_11434.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal sphere", "B) video_1 -- brown rubber cube", "C) video_2 -- red rubber cube", "D) video_1 -- red metal sphere"], "answer": "B) video_1 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_11435.mp4", "dataset/clvr/video_validation/video_11436.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber sphere", "B) video_2 -- purple metal cube", "C) video_2 -- brown rubber cylinder", "D) video_1 -- brown metal cylinder"], "answer": "C) video_2 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11438.mp4", "dataset/clvr/video_validation/video_11439.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cube", "B) video_1 -- purple rubber cylinder", "C) video_1 -- purple metal cylinder", "D) video_2 -- purple metal cube"], "answer": "B) video_1 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11444.mp4", "dataset/clvr/video_validation/video_11445.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cube", "B) video_2 -- yellow metal cube", "C) video_2 -- yellow metal sphere", "D) video_1 -- purple metal cube"], "answer": "C) video_2 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_11445.mp4", "dataset/clvr/video_validation/video_11446.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cylinder", "B) video_1 -- gray metal sphere", "C) video_2 -- gray rubber cylinder", "D) video_2 -- yellow rubber cube"], "answer": "C) video_2 -- gray rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11448.mp4", "dataset/clvr/video_validation/video_11449.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_2 -- cyan metal sphere", "C) video_2 -- brown metal sphere", "D) video_1 -- blue rubber cylinder"], "answer": "D) video_1 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11456.mp4", "dataset/clvr/video_validation/video_11457.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber sphere", "B) video_1 -- cyan rubber cube", "C) video_2 -- purple metal cylinder", "D) video_1 -- purple rubber cube"], "answer": "C) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_11458.mp4", "dataset/clvr/video_validation/video_11459.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cylinder", "B) video_2 -- blue rubber cylinder", "C) video_1 -- brown metal cube", "D) video_2 -- yellow metal sphere"], "answer": "C) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11463.mp4", "dataset/clvr/video_validation/video_11464.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cylinder", "B) video_2 -- green metal cylinder", "C) video_2 -- gray metal cube", "D) video_1 -- yellow metal sphere"], "answer": "C) video_2 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11464.mp4", "dataset/clvr/video_validation/video_11465.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_1 -- red rubber cube", "C) video_2 -- yellow rubber cylinder", "D) video_1 -- red rubber sphere"], "answer": "D) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11468.mp4", "dataset/clvr/video_validation/video_11469.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal sphere", "B) video_1 -- green rubber cube", "C) video_2 -- brown metal cube", "D) video_2 -- cyan metal cube"], "answer": "C) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11471.mp4", "dataset/clvr/video_validation/video_11472.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_2 -- blue metal cylinder", "C) video_1 -- brown metal cube", "D) video_1 -- cyan metal cube"], "answer": "C) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11472.mp4", "dataset/clvr/video_validation/video_11473.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cylinder", "B) video_1 -- purple metal cube", "C) video_2 -- yellow rubber cylinder", "D) video_2 -- brown metal sphere"], "answer": "C) video_2 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11475.mp4", "dataset/clvr/video_validation/video_11476.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cylinder", "B) video_2 -- red metal cylinder", "C) video_2 -- green metal cube", "D) video_1 -- red rubber sphere"], "answer": "A) video_1 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11477.mp4", "dataset/clvr/video_validation/video_11478.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_1 -- yellow rubber cube", "C) video_2 -- green rubber cube", "D) video_1 -- brown rubber cylinder"], "answer": "A) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_11479.mp4", "dataset/clvr/video_validation/video_11480.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cube", "B) video_2 -- yellow metal sphere", "C) video_2 -- gray rubber cube", "D) video_1 -- green metal cube"], "answer": "D) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_11483.mp4", "dataset/clvr/video_validation/video_11484.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_2 -- brown rubber sphere", "C) video_1 -- blue rubber cylinder", "D) video_1 -- red rubber sphere"], "answer": "B) video_2 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_11486.mp4", "dataset/clvr/video_validation/video_11487.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal cylinder", "B) video_1 -- cyan rubber cube", "C) video_2 -- yellow metal cylinder", "D) video_2 -- gray rubber sphere"], "answer": "C) video_2 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_11491.mp4", "dataset/clvr/video_validation/video_11492.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber sphere", "B) video_2 -- brown rubber cube", "C) video_2 -- red metal cylinder", "D) video_1 -- yellow metal cylinder"], "answer": "D) video_1 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_11492.mp4", "dataset/clvr/video_validation/video_11493.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal cylinder", "B) video_2 -- brown rubber cylinder", "C) video_2 -- red metal cube", "D) video_1 -- brown rubber cube"], "answer": "C) video_2 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_11493.mp4", "dataset/clvr/video_validation/video_11494.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cylinder", "B) video_2 -- green metal cylinder", "C) video_1 -- red metal cube", "D) video_1 -- brown rubber cylinder"], "answer": "C) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_11494.mp4", "dataset/clvr/video_validation/video_11495.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cube", "B) video_1 -- yellow metal cylinder", "C) video_1 -- green metal cylinder", "D) video_2 -- cyan metal cube"], "answer": "A) video_2 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11495.mp4", "dataset/clvr/video_validation/video_11496.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cube", "B) video_1 -- gray metal sphere", "C) video_2 -- blue metal sphere", "D) video_1 -- green metal cube"], "answer": "D) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_11502.mp4", "dataset/clvr/video_validation/video_11503.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal sphere", "B) video_1 -- red rubber cube", "C) video_2 -- blue metal cylinder", "D) video_1 -- yellow rubber sphere"], "answer": "D) video_1 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_11505.mp4", "dataset/clvr/video_validation/video_11506.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cylinder", "B) video_1 -- purple rubber cube", "C) video_2 -- brown metal cube", "D) video_1 -- yellow rubber cylinder"], "answer": "C) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11512.mp4", "dataset/clvr/video_validation/video_11513.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cube", "B) video_2 -- green rubber cube", "C) video_1 -- red metal cube", "D) video_2 -- red rubber sphere"], "answer": "A) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11516.mp4", "dataset/clvr/video_validation/video_11517.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cube", "B) video_1 -- red rubber sphere", "C) video_2 -- red rubber sphere", "D) video_2 -- yellow metal sphere"], "answer": "D) video_2 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_11517.mp4", "dataset/clvr/video_validation/video_11518.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal cube", "B) video_2 -- brown rubber cylinder", "C) video_1 -- gray metal cube", "D) video_1 -- red metal cylinder"], "answer": "D) video_1 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_11524.mp4", "dataset/clvr/video_validation/video_11525.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber sphere", "B) video_1 -- brown metal cube", "C) video_2 -- cyan rubber cube", "D) video_1 -- brown rubber cylinder"], "answer": "C) video_2 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_11525.mp4", "dataset/clvr/video_validation/video_11526.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber sphere", "B) video_2 -- blue rubber cylinder", "C) video_2 -- brown metal sphere", "D) video_1 -- cyan rubber cube"], "answer": "D) video_1 -- cyan rubber cube", "videos": ["dataset/clvr/video_validation/video_11526.mp4", "dataset/clvr/video_validation/video_11527.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal sphere", "B) video_2 -- blue rubber sphere", "C) video_1 -- blue rubber cylinder", "D) video_2 -- blue metal cylinder"], "answer": "D) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11527.mp4", "dataset/clvr/video_validation/video_11528.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_1 -- blue rubber sphere", "C) video_2 -- cyan metal cube", "D) video_1 -- blue metal cylinder"], "answer": "D) video_1 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11528.mp4", "dataset/clvr/video_validation/video_11529.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_1 -- gray metal sphere", "C) video_2 -- cyan metal cube", "D) video_2 -- purple rubber cube"], "answer": "C) video_2 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_11529.mp4", "dataset/clvr/video_validation/video_11530.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_1 -- gray metal cylinder", "C) video_1 -- blue rubber cube", "D) video_2 -- blue rubber sphere"], "answer": "B) video_1 -- gray metal cylinder", "videos": ["dataset/clvr/video_validation/video_11532.mp4", "dataset/clvr/video_validation/video_11533.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber sphere", "B) video_2 -- cyan metal cube", "C) video_1 -- blue metal cylinder", "D) video_2 -- yellow rubber cube"], "answer": "B) video_2 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_11533.mp4", "dataset/clvr/video_validation/video_11534.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cube", "B) video_2 -- brown metal sphere", "C) video_1 -- gray metal cylinder", "D) video_1 -- green metal cube"], "answer": "B) video_2 -- brown metal sphere", "videos": ["dataset/clvr/video_validation/video_11536.mp4", "dataset/clvr/video_validation/video_11537.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal sphere", "B) video_2 -- blue rubber sphere", "C) video_2 -- green metal cube", "D) video_1 -- blue rubber cube"], "answer": "A) video_1 -- brown metal sphere", "videos": ["dataset/clvr/video_validation/video_11537.mp4", "dataset/clvr/video_validation/video_11538.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal cylinder", "B) video_2 -- yellow rubber cylinder", "C) video_1 -- yellow rubber cube", "D) video_1 -- purple rubber cube"], "answer": "D) video_1 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_11540.mp4", "dataset/clvr/video_validation/video_11541.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cube", "B) video_1 -- purple rubber cylinder", "C) video_2 -- gray rubber cube", "D) video_2 -- yellow metal cylinder"], "answer": "C) video_2 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11543.mp4", "dataset/clvr/video_validation/video_11544.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_2 -- yellow metal cylinder", "C) video_2 -- brown metal cylinder", "D) video_1 -- red metal cube"], "answer": "A) video_1 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_11549.mp4", "dataset/clvr/video_validation/video_11550.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cube", "B) video_1 -- blue rubber cylinder", "C) video_2 -- red rubber cube", "D) video_2 -- blue rubber cylinder"], "answer": "C) video_2 -- red rubber cube", "videos": ["dataset/clvr/video_validation/video_11551.mp4", "dataset/clvr/video_validation/video_11552.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cube", "B) video_2 -- gray metal sphere", "C) video_2 -- brown metal sphere", "D) video_1 -- green metal cube"], "answer": "D) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_11553.mp4", "dataset/clvr/video_validation/video_11554.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber sphere", "B) video_1 -- gray metal sphere", "C) video_1 -- brown metal sphere", "D) video_2 -- cyan rubber sphere"], "answer": "D) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_11554.mp4", "dataset/clvr/video_validation/video_11555.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cube", "B) video_2 -- gray rubber cube", "C) video_1 -- cyan rubber cylinder", "D) video_2 -- purple rubber cylinder"], "answer": "D) video_2 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11558.mp4", "dataset/clvr/video_validation/video_11559.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cube", "B) video_2 -- purple rubber cube", "C) video_1 -- purple metal cube", "D) video_1 -- gray rubber cube"], "answer": "D) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11561.mp4", "dataset/clvr/video_validation/video_11562.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_2 -- green metal cube", "C) video_1 -- purple rubber cube", "D) video_2 -- brown rubber cylinder"], "answer": "D) video_2 -- brown rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11562.mp4", "dataset/clvr/video_validation/video_11563.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cube", "B) video_1 -- cyan metal cylinder", "C) video_2 -- gray rubber sphere", "D) video_1 -- green metal cylinder"], "answer": "A) video_2 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11567.mp4", "dataset/clvr/video_validation/video_11568.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cylinder", "B) video_1 -- cyan rubber cube", "C) video_1 -- red metal sphere", "D) video_2 -- gray rubber cylinder"], "answer": "C) video_1 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_11570.mp4", "dataset/clvr/video_validation/video_11571.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cylinder", "B) video_1 -- brown rubber cylinder", "C) video_2 -- brown metal cube", "D) video_2 -- green metal cylinder"], "answer": "C) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11571.mp4", "dataset/clvr/video_validation/video_11572.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cylinder", "B) video_2 -- brown metal cylinder", "C) video_1 -- brown metal cube", "D) video_2 -- purple metal cylinder"], "answer": "C) video_1 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11572.mp4", "dataset/clvr/video_validation/video_11573.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cube", "B) video_2 -- gray metal sphere", "C) video_1 -- purple metal cylinder", "D) video_1 -- brown metal cylinder"], "answer": "B) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_11573.mp4", "dataset/clvr/video_validation/video_11574.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber sphere", "B) video_1 -- purple rubber cube", "C) video_1 -- gray metal sphere", "D) video_2 -- green metal cylinder"], "answer": "C) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_11574.mp4", "dataset/clvr/video_validation/video_11575.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cube", "B) video_1 -- purple metal sphere", "C) video_2 -- cyan rubber cylinder", "D) video_1 -- cyan rubber sphere"], "answer": "C) video_2 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11579.mp4", "dataset/clvr/video_validation/video_11580.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_1 -- blue metal cylinder", "C) video_2 -- gray rubber sphere", "D) video_2 -- cyan metal cylinder"], "answer": "D) video_2 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_11584.mp4", "dataset/clvr/video_validation/video_11585.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cylinder", "B) video_2 -- yellow rubber sphere", "C) video_1 -- red rubber sphere", "D) video_1 -- yellow rubber cylinder"], "answer": "A) video_2 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_11589.mp4", "dataset/clvr/video_validation/video_11590.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cube", "B) video_1 -- yellow rubber sphere", "C) video_1 -- cyan metal cylinder", "D) video_2 -- red rubber cylinder"], "answer": "C) video_1 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_11590.mp4", "dataset/clvr/video_validation/video_11591.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cylinder", "B) video_1 -- yellow metal cylinder", "C) video_1 -- red rubber sphere", "D) video_2 -- cyan rubber sphere"], "answer": "D) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_11594.mp4", "dataset/clvr/video_validation/video_11595.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cube", "B) video_2 -- purple rubber sphere", "C) video_1 -- gray rubber cube", "D) video_1 -- yellow metal cube"], "answer": "C) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11601.mp4", "dataset/clvr/video_validation/video_11602.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cube", "B) video_1 -- purple rubber sphere", "C) video_2 -- brown rubber sphere", "D) video_2 -- gray metal sphere"], "answer": "C) video_2 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_11602.mp4", "dataset/clvr/video_validation/video_11603.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber sphere", "B) video_2 -- purple metal sphere", "C) video_1 -- gray metal sphere", "D) video_2 -- blue rubber sphere"], "answer": "A) video_1 -- brown rubber sphere", "videos": ["dataset/clvr/video_validation/video_11603.mp4", "dataset/clvr/video_validation/video_11604.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal sphere", "B) video_1 -- cyan metal cylinder", "C) video_1 -- green rubber sphere", "D) video_2 -- green metal cylinder"], "answer": "D) video_2 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_11605.mp4", "dataset/clvr/video_validation/video_11606.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal cube", "B) video_1 -- green metal cylinder", "C) video_1 -- brown metal sphere", "D) video_2 -- yellow rubber sphere"], "answer": "B) video_1 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_11606.mp4", "dataset/clvr/video_validation/video_11607.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal sphere", "B) video_2 -- red metal cube", "C) video_1 -- red rubber cube", "D) video_2 -- gray rubber sphere"], "answer": "D) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_11610.mp4", "dataset/clvr/video_validation/video_11611.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cube", "B) video_2 -- brown metal cylinder", "C) video_1 -- gray rubber cube", "D) video_2 -- green metal cube"], "answer": "C) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11613.mp4", "dataset/clvr/video_validation/video_11614.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_1 -- green metal cube", "C) video_1 -- brown metal cylinder", "D) video_2 -- red rubber cylinder"], "answer": "A) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_11614.mp4", "dataset/clvr/video_validation/video_11615.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber sphere", "B) video_1 -- brown rubber cube", "C) video_2 -- gray rubber cylinder", "D) video_2 -- yellow metal cube"], "answer": "D) video_2 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_11618.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_1 -- yellow metal sphere", "C) video_2 -- brown metal sphere", "D) video_1 -- blue rubber cylinder"], "answer": "D) video_1 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11622.mp4", "dataset/clvr/video_validation/video_11623.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_1 -- brown metal sphere", "C) video_1 -- green rubber cylinder", "D) video_2 -- red metal sphere"], "answer": "D) video_2 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_11623.mp4", "dataset/clvr/video_validation/video_11624.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal sphere", "B) video_1 -- gray metal sphere", "C) video_2 -- gray metal cylinder", "D) video_2 -- blue rubber cylinder"], "answer": "A) video_1 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_11624.mp4", "dataset/clvr/video_validation/video_11625.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cube", "B) video_1 -- gray metal cylinder", "C) video_1 -- blue rubber cylinder", "D) video_2 -- green rubber cylinder"], "answer": "D) video_2 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11625.mp4", "dataset/clvr/video_validation/video_11626.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal cylinder", "B) video_2 -- brown metal cube", "C) video_2 -- purple metal sphere", "D) video_1 -- yellow metal cylinder"], "answer": "A) video_1 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11631.mp4", "dataset/clvr/video_validation/video_11632.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal cube", "B) video_1 -- green metal cylinder", "C) video_1 -- blue metal sphere", "D) video_2 -- yellow metal cylinder"], "answer": "C) video_1 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_11633.mp4", "dataset/clvr/video_validation/video_11634.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_2 -- red rubber cylinder", "C) video_1 -- yellow metal cylinder", "D) video_2 -- red rubber sphere"], "answer": "D) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11634.mp4", "dataset/clvr/video_validation/video_11635.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cylinder", "B) video_2 -- green metal sphere", "C) video_1 -- gray metal cylinder", "D) video_2 -- gray rubber sphere"], "answer": "D) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_11637.mp4", "dataset/clvr/video_validation/video_11638.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_2 -- blue metal sphere", "C) video_1 -- purple metal sphere", "D) video_2 -- yellow rubber sphere"], "answer": "A) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_11644.mp4", "dataset/clvr/video_validation/video_11645.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cylinder", "B) video_1 -- blue metal sphere", "C) video_2 -- green metal cylinder", "D) video_1 -- yellow rubber sphere"], "answer": "C) video_2 -- green metal cylinder", "videos": ["dataset/clvr/video_validation/video_11645.mp4", "dataset/clvr/video_validation/video_11646.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_1 -- gray metal cube", "C) video_2 -- brown rubber sphere", "D) video_1 -- red metal cube"], "answer": "D) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_11648.mp4", "dataset/clvr/video_validation/video_11649.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal sphere", "B) video_1 -- brown rubber sphere", "C) video_1 -- yellow rubber cylinder", "D) video_2 -- gray metal cube"], "answer": "A) video_2 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_11649.mp4", "dataset/clvr/video_validation/video_11650.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber sphere", "B) video_2 -- blue metal cylinder", "C) video_1 -- red metal sphere", "D) video_1 -- gray metal cube"], "answer": "C) video_1 -- red metal sphere", "videos": ["dataset/clvr/video_validation/video_11650.mp4", "dataset/clvr/video_validation/video_11651.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cylinder", "B) video_2 -- gray metal cube", "C) video_1 -- green rubber cube", "D) video_2 -- blue rubber cube"], "answer": "B) video_2 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11654.mp4", "dataset/clvr/video_validation/video_11655.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cube", "B) video_1 -- blue rubber cube", "C) video_2 -- brown metal cube", "D) video_2 -- red rubber cube"], "answer": "A) video_1 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11655.mp4", "dataset/clvr/video_validation/video_11656.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cylinder", "B) video_1 -- green rubber cube", "C) video_1 -- gray metal sphere", "D) video_2 -- purple rubber cube"], "answer": "A) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11657.mp4", "dataset/clvr/video_validation/video_11658.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber sphere", "B) video_1 -- brown rubber cube", "C) video_1 -- green rubber cube", "D) video_2 -- green metal cube"], "answer": "C) video_1 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_11661.mp4", "dataset/clvr/video_validation/video_11662.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cube", "B) video_2 -- brown metal sphere", "C) video_1 -- yellow metal cylinder", "D) video_2 -- red metal cube"], "answer": "C) video_1 -- yellow metal cylinder", "videos": ["dataset/clvr/video_validation/video_11666.mp4", "dataset/clvr/video_validation/video_11667.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red metal cylinder", "B) video_2 -- cyan rubber cylinder", "C) video_1 -- red metal cube", "D) video_1 -- brown metal sphere"], "answer": "B) video_2 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11667.mp4", "dataset/clvr/video_validation/video_11668.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal cylinder", "B) video_2 -- brown metal cylinder", "C) video_2 -- red rubber sphere", "D) video_1 -- cyan rubber sphere"], "answer": "C) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11677.mp4", "dataset/clvr/video_validation/video_11678.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal cube", "B) video_1 -- brown metal cylinder", "C) video_1 -- red rubber sphere", "D) video_2 -- cyan rubber sphere"], "answer": "C) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11678.mp4", "dataset/clvr/video_validation/video_11679.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal cylinder", "B) video_1 -- purple metal cube", "C) video_1 -- yellow metal cube", "D) video_2 -- brown rubber cylinder"], "answer": "A) video_2 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_11681.mp4", "dataset/clvr/video_validation/video_11682.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cylinder", "B) video_1 -- brown rubber cylinder", "C) video_2 -- green metal cube", "D) video_2 -- cyan metal cylinder"], "answer": "A) video_1 -- brown metal cylinder", "videos": ["dataset/clvr/video_validation/video_11682.mp4", "dataset/clvr/video_validation/video_11683.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cylinder", "B) video_1 -- green metal cube", "C) video_2 -- purple metal cylinder", "D) video_2 -- yellow rubber cylinder"], "answer": "C) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_11683.mp4", "dataset/clvr/video_validation/video_11684.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan metal sphere", "B) video_2 -- yellow metal cube", "C) video_1 -- blue metal cylinder", "D) video_1 -- green metal sphere"], "answer": "C) video_1 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11685.mp4", "dataset/clvr/video_validation/video_11686.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal sphere", "B) video_1 -- blue rubber cylinder", "C) video_1 -- cyan metal cube", "D) video_2 -- gray metal cylinder"], "answer": "A) video_2 -- blue metal sphere", "videos": ["dataset/clvr/video_validation/video_11687.mp4", "dataset/clvr/video_validation/video_11688.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_1 -- yellow rubber sphere", "C) video_1 -- red rubber sphere", "D) video_2 -- gray rubber cylinder"], "answer": "C) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11694.mp4", "dataset/clvr/video_validation/video_11695.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_2 -- purple rubber sphere", "C) video_1 -- yellow metal cube", "D) video_1 -- green metal cube"], "answer": "B) video_2 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_11698.mp4", "dataset/clvr/video_validation/video_11699.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_2 -- cyan rubber cylinder", "C) video_2 -- brown rubber cylinder", "D) video_1 -- yellow metal cylinder"], "answer": "B) video_2 -- cyan rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11702.mp4", "dataset/clvr/video_validation/video_11703.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple metal sphere", "B) video_1 -- gray metal cylinder", "C) video_1 -- gray metal cube", "D) video_2 -- cyan metal cylinder"], "answer": "C) video_1 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11712.mp4", "dataset/clvr/video_validation/video_11713.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_2 -- green rubber sphere", "C) video_1 -- yellow metal sphere", "D) video_2 -- gray rubber sphere"], "answer": "A) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11718.mp4", "dataset/clvr/video_validation/video_11719.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green metal sphere", "B) video_2 -- gray rubber cube", "C) video_1 -- blue metal cylinder", "D) video_1 -- gray rubber cube"], "answer": "D) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11720.mp4", "dataset/clvr/video_validation/video_11721.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_2 -- brown metal cube", "C) video_2 -- purple metal sphere", "D) video_1 -- green metal sphere"], "answer": "C) video_2 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_11721.mp4", "dataset/clvr/video_validation/video_11722.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_2 -- green rubber sphere", "C) video_2 -- red metal cube", "D) video_1 -- blue rubber cube"], "answer": "C) video_2 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_11724.mp4", "dataset/clvr/video_validation/video_11725.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cube", "B) video_1 -- green rubber sphere", "C) video_1 -- red metal cube", "D) video_2 -- brown rubber cube"], "answer": "C) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_11725.mp4", "dataset/clvr/video_validation/video_11726.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cylinder", "B) video_2 -- gray rubber sphere", "C) video_2 -- brown metal sphere", "D) video_1 -- yellow rubber sphere"], "answer": "D) video_1 -- yellow rubber sphere", "videos": ["dataset/clvr/video_validation/video_11730.mp4", "dataset/clvr/video_validation/video_11731.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cube", "B) video_2 -- blue metal cylinder", "C) video_2 -- yellow rubber cylinder", "D) video_1 -- purple metal cube"], "answer": "A) video_1 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_11740.mp4", "dataset/clvr/video_validation/video_11741.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_2 -- yellow rubber cylinder", "C) video_2 -- green metal cube", "D) video_1 -- blue rubber cube"], "answer": "D) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_11744.mp4", "dataset/clvr/video_validation/video_11745.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cylinder", "B) video_2 -- blue rubber sphere", "C) video_1 -- green metal cube", "D) video_2 -- green rubber sphere"], "answer": "D) video_2 -- green rubber sphere", "videos": ["dataset/clvr/video_validation/video_11745.mp4", "dataset/clvr/video_validation/video_11746.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cylinder", "B) video_1 -- purple rubber sphere", "C) video_2 -- yellow rubber cylinder", "D) video_1 -- purple metal cube"], "answer": "B) video_1 -- purple rubber sphere", "videos": ["dataset/clvr/video_validation/video_11748.mp4", "dataset/clvr/video_validation/video_11749.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cylinder", "B) video_2 -- brown metal sphere", "C) video_2 -- blue rubber sphere", "D) video_1 -- yellow rubber cylinder"], "answer": "B) video_2 -- brown metal sphere", "videos": ["dataset/clvr/video_validation/video_11749.mp4", "dataset/clvr/video_validation/video_11750.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cube", "B) video_1 -- blue rubber cube", "C) video_2 -- red metal cylinder", "D) video_1 -- gray metal cylinder"], "answer": "C) video_2 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_11752.mp4", "dataset/clvr/video_validation/video_11753.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_1 -- blue rubber sphere", "C) video_1 -- red rubber cylinder", "D) video_2 -- red rubber sphere"], "answer": "C) video_1 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11757.mp4", "dataset/clvr/video_validation/video_11758.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cube", "B) video_1 -- cyan metal cylinder", "C) video_2 -- purple metal cube", "D) video_2 -- green rubber cube"], "answer": "D) video_2 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_11759.mp4", "dataset/clvr/video_validation/video_11760.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cube", "B) video_1 -- cyan metal cube", "C) video_1 -- gray metal cylinder", "D) video_2 -- gray metal cylinder"], "answer": "A) video_2 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_11761.mp4", "dataset/clvr/video_validation/video_11762.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber cube", "B) video_2 -- gray rubber cylinder", "C) video_1 -- gray metal cylinder", "D) video_2 -- cyan rubber sphere"], "answer": "A) video_1 -- purple rubber cube", "videos": ["dataset/clvr/video_validation/video_11762.mp4", "dataset/clvr/video_validation/video_11763.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber sphere", "B) video_1 -- gray rubber cylinder", "C) video_2 -- brown rubber cube", "D) video_2 -- brown metal sphere"], "answer": "B) video_1 -- gray rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11763.mp4", "dataset/clvr/video_validation/video_11764.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cylinder", "B) video_1 -- cyan rubber cube", "C) video_1 -- red metal cube", "D) video_2 -- brown rubber cube"], "answer": "C) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_11769.mp4", "dataset/clvr/video_validation/video_11770.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cylinder", "B) video_2 -- green rubber sphere", "C) video_1 -- brown rubber cube", "D) video_2 -- green rubber cylinder"], "answer": "D) video_2 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11770.mp4", "dataset/clvr/video_validation/video_11771.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cube", "B) video_2 -- green metal cube", "C) video_2 -- cyan rubber cylinder", "D) video_1 -- gray metal sphere"], "answer": "A) video_1 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11772.mp4", "dataset/clvr/video_validation/video_11773.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cylinder", "B) video_2 -- green rubber cube", "C) video_1 -- gray rubber sphere", "D) video_2 -- red rubber sphere"], "answer": "C) video_1 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_11775.mp4", "dataset/clvr/video_validation/video_11776.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cylinder", "B) video_1 -- purple metal cylinder", "C) video_2 -- blue metal cube", "D) video_2 -- red rubber sphere"], "answer": "D) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11777.mp4", "dataset/clvr/video_validation/video_11778.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_2 -- red metal cylinder", "C) video_1 -- red metal cylinder", "D) video_1 -- cyan metal sphere"], "answer": "D) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_11779.mp4", "dataset/clvr/video_validation/video_11780.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cube", "B) video_2 -- gray rubber cylinder", "C) video_1 -- red metal cylinder", "D) video_2 -- yellow rubber cube"], "answer": "D) video_2 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11780.mp4", "dataset/clvr/video_validation/video_11781.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cylinder", "B) video_2 -- yellow rubber cylinder", "C) video_2 -- gray rubber cube", "D) video_1 -- purple rubber cylinder"], "answer": "D) video_1 -- purple rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11785.mp4", "dataset/clvr/video_validation/video_11786.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cylinder", "B) video_1 -- gray rubber cube", "C) video_2 -- red rubber cylinder", "D) video_2 -- gray metal cylinder"], "answer": "C) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11786.mp4", "dataset/clvr/video_validation/video_11787.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- green rubber cylinder", "B) video_1 -- yellow rubber cylinder", "C) video_2 -- red rubber cylinder", "D) video_1 -- blue rubber sphere"], "answer": "B) video_1 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11791.mp4", "dataset/clvr/video_validation/video_11792.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber sphere", "B) video_2 -- cyan rubber sphere", "C) video_2 -- green metal sphere", "D) video_1 -- green metal sphere"], "answer": "D) video_1 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_11798.mp4", "dataset/clvr/video_validation/video_11799.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal cylinder", "B) video_2 -- gray rubber cylinder", "C) video_2 -- blue metal sphere", "D) video_1 -- cyan metal cylinder"], "answer": "D) video_1 -- cyan metal cylinder", "videos": ["dataset/clvr/video_validation/video_11805.mp4", "dataset/clvr/video_validation/video_11806.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red metal sphere", "B) video_1 -- brown metal cylinder", "C) video_2 -- yellow rubber cylinder", "D) video_2 -- gray metal sphere"], "answer": "D) video_2 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_11813.mp4", "dataset/clvr/video_validation/video_11814.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue metal sphere", "B) video_2 -- cyan metal cube", "C) video_2 -- yellow rubber cylinder", "D) video_1 -- green metal cube"], "answer": "D) video_1 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_11815.mp4", "dataset/clvr/video_validation/video_11816.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_2 -- red metal cube", "C) video_2 -- red metal cylinder", "D) video_1 -- yellow rubber cylinder"], "answer": "B) video_2 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_11816.mp4", "dataset/clvr/video_validation/video_11817.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cube", "B) video_1 -- red metal cylinder", "C) video_2 -- cyan metal cylinder", "D) video_1 -- red metal cube"], "answer": "D) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_11817.mp4", "dataset/clvr/video_validation/video_11818.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cube", "B) video_1 -- cyan metal cylinder", "C) video_2 -- brown metal sphere", "D) video_2 -- cyan metal cube"], "answer": "C) video_2 -- brown metal sphere", "videos": ["dataset/clvr/video_validation/video_11818.mp4", "dataset/clvr/video_validation/video_11819.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal sphere", "B) video_2 -- yellow rubber cube", "C) video_2 -- cyan metal sphere", "D) video_1 -- cyan rubber cylinder"], "answer": "B) video_2 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11823.mp4", "dataset/clvr/video_validation/video_11824.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal sphere", "B) video_1 -- yellow rubber cube", "C) video_2 -- purple rubber sphere", "D) video_2 -- green rubber cylinder"], "answer": "B) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11824.mp4", "dataset/clvr/video_validation/video_11825.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cylinder", "B) video_1 -- purple rubber cylinder", "C) video_2 -- red rubber sphere", "D) video_2 -- green metal cylinder"], "answer": "C) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11829.mp4", "dataset/clvr/video_validation/video_11830.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber sphere", "B) video_2 -- blue rubber cube", "C) video_2 -- yellow metal cylinder", "D) video_1 -- green metal cylinder"], "answer": "A) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11830.mp4", "dataset/clvr/video_validation/video_11831.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal cube", "B) video_2 -- blue rubber cube", "C) video_2 -- yellow metal sphere", "D) video_1 -- brown metal sphere"], "answer": "C) video_2 -- yellow metal sphere", "videos": ["dataset/clvr/video_validation/video_11832.mp4", "dataset/clvr/video_validation/video_11833.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cylinder", "B) video_1 -- gray metal cylinder", "C) video_1 -- gray rubber cylinder", "D) video_2 -- yellow rubber sphere"], "answer": "C) video_1 -- gray rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11834.mp4", "dataset/clvr/video_validation/video_11835.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_2 -- gray rubber sphere", "C) video_1 -- red rubber cylinder", "D) video_2 -- blue rubber cube"], "answer": "B) video_2 -- gray rubber sphere", "videos": ["dataset/clvr/video_validation/video_11835.mp4", "dataset/clvr/video_validation/video_11836.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cylinder", "B) video_2 -- gray metal cylinder", "C) video_1 -- green rubber sphere", "D) video_1 -- yellow metal cube"], "answer": "D) video_1 -- yellow metal cube", "videos": ["dataset/clvr/video_validation/video_11842.mp4", "dataset/clvr/video_validation/video_11843.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray metal sphere", "B) video_1 -- red metal cube", "C) video_1 -- yellow rubber cylinder", "D) video_2 -- cyan metal cube"], "answer": "C) video_1 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11847.mp4", "dataset/clvr/video_validation/video_11848.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray metal sphere", "B) video_1 -- cyan metal cube", "C) video_2 -- cyan metal sphere", "D) video_2 -- blue metal cylinder"], "answer": "C) video_2 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_11848.mp4", "dataset/clvr/video_validation/video_11849.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber sphere", "B) video_1 -- brown metal sphere", "C) video_1 -- brown rubber cylinder", "D) video_2 -- purple metal cube"], "answer": "B) video_1 -- brown metal sphere", "videos": ["dataset/clvr/video_validation/video_11850.mp4", "dataset/clvr/video_validation/video_11851.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow metal cylinder", "B) video_1 -- purple metal cube", "C) video_2 -- red rubber sphere", "D) video_1 -- brown rubber sphere"], "answer": "C) video_2 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11851.mp4", "dataset/clvr/video_validation/video_11852.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber sphere", "B) video_2 -- cyan rubber cube", "C) video_1 -- gray rubber sphere", "D) video_2 -- purple metal cylinder"], "answer": "D) video_2 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_11853.mp4", "dataset/clvr/video_validation/video_11854.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cylinder", "B) video_2 -- blue metal sphere", "C) video_2 -- blue metal cylinder", "D) video_1 -- cyan rubber cube"], "answer": "A) video_1 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_11854.mp4", "dataset/clvr/video_validation/video_11855.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cube", "B) video_2 -- cyan metal sphere", "C) video_1 -- blue metal cylinder", "D) video_1 -- blue metal sphere"], "answer": "B) video_2 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_11855.mp4", "dataset/clvr/video_validation/video_11856.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal sphere", "B) video_2 -- gray metal cube", "C) video_2 -- red metal cube", "D) video_1 -- purple metal cylinder"], "answer": "B) video_2 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11857.mp4", "dataset/clvr/video_validation/video_11858.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_1 -- yellow rubber cube", "C) video_2 -- gray rubber cylinder", "D) video_1 -- green rubber cylinder"], "answer": "D) video_1 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11861.mp4", "dataset/clvr/video_validation/video_11862.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal sphere", "B) video_2 -- cyan rubber sphere", "C) video_2 -- green metal cube", "D) video_1 -- purple rubber cylinder"], "answer": "B) video_2 -- cyan rubber sphere", "videos": ["dataset/clvr/video_validation/video_11863.mp4", "dataset/clvr/video_validation/video_11864.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_1 -- blue metal sphere", "C) video_2 -- gray rubber sphere", "D) video_2 -- gray rubber cube"], "answer": "D) video_2 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11868.mp4", "dataset/clvr/video_validation/video_11869.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber sphere", "B) video_2 -- yellow metal cube", "C) video_2 -- purple rubber cylinder", "D) video_1 -- gray rubber cube"], "answer": "D) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11869.mp4", "dataset/clvr/video_validation/video_11870.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cube", "B) video_1 -- purple rubber cylinder", "C) video_2 -- red metal cylinder", "D) video_2 -- blue metal sphere"], "answer": "C) video_2 -- red metal cylinder", "videos": ["dataset/clvr/video_validation/video_11870.mp4", "dataset/clvr/video_validation/video_11871.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cube", "B) video_1 -- blue metal sphere", "C) video_2 -- purple metal cylinder", "D) video_1 -- red metal cylinder"], "answer": "A) video_2 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11871.mp4", "dataset/clvr/video_validation/video_11872.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal cylinder", "B) video_1 -- yellow rubber cube", "C) video_2 -- red metal cube", "D) video_2 -- purple metal sphere"], "answer": "B) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11872.mp4", "dataset/clvr/video_validation/video_11873.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_1 -- red metal cube", "C) video_2 -- purple metal cube", "D) video_2 -- green metal sphere"], "answer": "D) video_2 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_11873.mp4", "dataset/clvr/video_validation/video_11874.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green metal sphere", "B) video_2 -- purple metal cylinder", "C) video_2 -- cyan metal cube", "D) video_1 -- purple metal cube"], "answer": "A) video_1 -- green metal sphere", "videos": ["dataset/clvr/video_validation/video_11874.mp4", "dataset/clvr/video_validation/video_11875.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan metal cube", "B) video_2 -- green rubber sphere", "C) video_1 -- purple metal cylinder", "D) video_2 -- purple metal cube"], "answer": "D) video_2 -- purple metal cube", "videos": ["dataset/clvr/video_validation/video_11875.mp4", "dataset/clvr/video_validation/video_11876.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- cyan rubber cube", "B) video_1 -- red metal cube", "C) video_1 -- green metal sphere", "D) video_2 -- brown rubber cube"], "answer": "B) video_1 -- red metal cube", "videos": ["dataset/clvr/video_validation/video_11877.mp4", "dataset/clvr/video_validation/video_11878.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple rubber sphere", "B) video_2 -- cyan rubber sphere", "C) video_2 -- blue rubber sphere", "D) video_1 -- yellow rubber cylinder"], "answer": "C) video_2 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_11888.mp4", "dataset/clvr/video_validation/video_11889.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cylinder", "B) video_1 -- blue rubber sphere", "C) video_2 -- gray metal cylinder", "D) video_1 -- cyan rubber sphere"], "answer": "B) video_1 -- blue rubber sphere", "videos": ["dataset/clvr/video_validation/video_11889.mp4", "dataset/clvr/video_validation/video_11890.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cylinder", "B) video_2 -- red rubber sphere", "C) video_2 -- green metal cube", "D) video_1 -- gray metal cylinder"], "answer": "C) video_2 -- green metal cube", "videos": ["dataset/clvr/video_validation/video_11890.mp4", "dataset/clvr/video_validation/video_11891.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- yellow rubber cylinder", "B) video_1 -- red rubber sphere", "C) video_1 -- green metal cube", "D) video_2 -- red rubber sphere"], "answer": "A) video_2 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11891.mp4", "dataset/clvr/video_validation/video_11892.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cylinder", "B) video_1 -- blue rubber cube", "C) video_2 -- green metal cube", "D) video_2 -- blue rubber cylinder"], "answer": "B) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_11913.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown metal cube", "B) video_1 -- green metal cube", "C) video_2 -- blue metal sphere", "D) video_1 -- blue rubber cylinder"], "answer": "A) video_2 -- brown metal cube", "videos": ["dataset/clvr/video_validation/video_11913.mp4", "dataset/clvr/video_validation/video_11914.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cube", "B) video_1 -- green rubber cube", "C) video_2 -- red rubber cylinder", "D) video_1 -- brown rubber cube"], "answer": "B) video_1 -- green rubber cube", "videos": ["dataset/clvr/video_validation/video_11926.mp4", "dataset/clvr/video_validation/video_11927.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue metal cylinder", "B) video_1 -- red rubber cylinder", "C) video_1 -- red rubber cube", "D) video_2 -- gray metal cylinder"], "answer": "A) video_2 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11927.mp4", "dataset/clvr/video_validation/video_11928.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber sphere", "B) video_2 -- brown metal sphere", "C) video_1 -- green rubber cube", "D) video_1 -- gray metal sphere"], "answer": "D) video_1 -- gray metal sphere", "videos": ["dataset/clvr/video_validation/video_11933.mp4", "dataset/clvr/video_validation/video_11934.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber cylinder", "B) video_1 -- gray rubber sphere", "C) video_2 -- yellow rubber cylinder", "D) video_1 -- brown metal sphere"], "answer": "A) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11934.mp4", "dataset/clvr/video_validation/video_11935.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cylinder", "B) video_2 -- purple metal cylinder", "C) video_1 -- yellow rubber cylinder", "D) video_1 -- yellow metal cylinder"], "answer": "C) video_1 -- yellow rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11944.mp4", "dataset/clvr/video_validation/video_11945.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- blue rubber cylinder", "B) video_1 -- purple metal cylinder", "C) video_2 -- gray metal cube", "D) video_2 -- green rubber sphere"], "answer": "C) video_2 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11945.mp4", "dataset/clvr/video_validation/video_11946.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber sphere", "B) video_2 -- red rubber sphere", "C) video_1 -- green metal sphere", "D) video_2 -- gray rubber cylinder"], "answer": "A) video_1 -- red rubber sphere", "videos": ["dataset/clvr/video_validation/video_11947.mp4", "dataset/clvr/video_validation/video_11948.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cylinder", "B) video_2 -- purple metal sphere", "C) video_2 -- red rubber cube", "D) video_1 -- red rubber sphere"], "answer": "B) video_2 -- purple metal sphere", "videos": ["dataset/clvr/video_validation/video_11948.mp4", "dataset/clvr/video_validation/video_11949.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- purple rubber cylinder", "B) video_1 -- gray metal cube", "C) video_1 -- gray rubber cylinder", "D) video_2 -- blue metal cube"], "answer": "B) video_1 -- gray metal cube", "videos": ["dataset/clvr/video_validation/video_11952.mp4", "dataset/clvr/video_validation/video_11953.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- brown rubber cylinder", "B) video_2 -- gray rubber cube", "C) video_1 -- cyan metal cylinder", "D) video_1 -- green metal cylinder"], "answer": "B) video_2 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11954.mp4", "dataset/clvr/video_validation/video_11955.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown rubber cylinder", "B) video_2 -- brown rubber sphere", "C) video_2 -- gray rubber cube", "D) video_1 -- gray rubber cube"], "answer": "D) video_1 -- gray rubber cube", "videos": ["dataset/clvr/video_validation/video_11955.mp4", "dataset/clvr/video_validation/video_11956.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber cylinder", "B) video_2 -- green rubber cylinder", "C) video_2 -- brown metal cube", "D) video_1 -- green rubber cube"], "answer": "A) video_1 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11963.mp4", "dataset/clvr/video_validation/video_11964.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- gray rubber cube", "B) video_2 -- cyan rubber cylinder", "C) video_1 -- blue rubber cube", "D) video_1 -- yellow metal sphere"], "answer": "C) video_1 -- blue rubber cube", "videos": ["dataset/clvr/video_validation/video_11965.mp4", "dataset/clvr/video_validation/video_11966.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- cyan rubber cylinder", "B) video_1 -- gray rubber cube", "C) video_2 -- red rubber cylinder", "D) video_2 -- gray rubber cylinder"], "answer": "C) video_2 -- red rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11966.mp4", "dataset/clvr/video_validation/video_11967.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow rubber cylinder", "B) video_2 -- brown rubber cube", "C) video_2 -- green rubber cylinder", "D) video_1 -- gray rubber sphere"], "answer": "B) video_2 -- brown rubber cube", "videos": ["dataset/clvr/video_validation/video_11970.mp4", "dataset/clvr/video_validation/video_11971.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- red rubber sphere", "B) video_1 -- brown rubber cylinder", "C) video_2 -- brown rubber cylinder", "D) video_1 -- yellow rubber cube"], "answer": "D) video_1 -- yellow rubber cube", "videos": ["dataset/clvr/video_validation/video_11974.mp4", "dataset/clvr/video_validation/video_11975.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- red rubber sphere", "B) video_2 -- cyan metal cube", "C) video_2 -- purple metal cylinder", "D) video_1 -- brown rubber cylinder"], "answer": "B) video_2 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_11975.mp4", "dataset/clvr/video_validation/video_11976.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_2 -- blue rubber cylinder", "B) video_2 -- yellow rubber sphere", "C) video_1 -- green metal cube", "D) video_1 -- red metal cylinder"], "answer": "A) video_2 -- blue rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11977.mp4", "dataset/clvr/video_validation/video_11978.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- gray rubber cube", "B) video_2 -- gray metal sphere", "C) video_2 -- cyan metal cube", "D) video_1 -- gray metal cylinder"], "answer": "C) video_2 -- cyan metal cube", "videos": ["dataset/clvr/video_validation/video_11980.mp4", "dataset/clvr/video_validation/video_11981.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber cube", "B) video_2 -- green rubber sphere", "C) video_1 -- blue metal cylinder", "D) video_2 -- green metal sphere"], "answer": "C) video_1 -- blue metal cylinder", "videos": ["dataset/clvr/video_validation/video_11983.mp4", "dataset/clvr/video_validation/video_11984.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- green rubber sphere", "B) video_2 -- green rubber cylinder", "C) video_2 -- purple metal sphere", "D) video_1 -- green metal sphere"], "answer": "B) video_2 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11984.mp4", "dataset/clvr/video_validation/video_11985.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- purple metal sphere", "B) video_2 -- brown rubber cube", "C) video_2 -- gray rubber cube", "D) video_1 -- green rubber cylinder"], "answer": "D) video_1 -- green rubber cylinder", "videos": ["dataset/clvr/video_validation/video_11985.mp4", "dataset/clvr/video_validation/video_11986.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- yellow metal cylinder", "B) video_2 -- yellow rubber cube", "C) video_1 -- purple metal cylinder", "D) video_2 -- gray metal cylinder"], "answer": "C) video_1 -- purple metal cylinder", "videos": ["dataset/clvr/video_validation/video_11993.mp4", "dataset/clvr/video_validation/video_11994.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Kinematic_Comparison", "question": "Given two videos showing the same scene, identify which object has the highest peak velocity.", "options": ["A) video_1 -- brown metal cube", "B) video_1 -- cyan metal sphere", "C) video_2 -- brown metal cylinder", "D) video_2 -- red rubber sphere"], "answer": "B) video_1 -- cyan metal sphere", "videos": ["dataset/clvr/video_validation/video_11997.mp4", "dataset/clvr/video_validation/video_11998.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10000.mp4", "dataset/clvr/video_validation/video_10100.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10169.mp4", "dataset/clvr/video_validation/video_10001.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 2", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10002.mp4", "dataset/clvr/video_validation/video_10383.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11579.mp4", "dataset/clvr/video_validation/video_10003.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10004.mp4", "dataset/clvr/video_validation/video_11787.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10465.mp4", "dataset/clvr/video_validation/video_10005.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 2 -- 3", "E) Video 2 -- 4"], "answer": "A) Video 1 -- 4", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10006.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11999.mp4", "dataset/clvr/video_validation/video_10007.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 1 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10800.mp4", "dataset/clvr/video_validation/video_10008.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10009.mp4", "dataset/clvr/video_validation/video_11623.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11588.mp4", "dataset/clvr/video_validation/video_10010.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 5"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10011.mp4", "dataset/clvr/video_validation/video_11163.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11865.mp4", "dataset/clvr/video_validation/video_10012.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10384.mp4", "dataset/clvr/video_validation/video_10013.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11799.mp4", "dataset/clvr/video_validation/video_10014.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11329.mp4", "dataset/clvr/video_validation/video_10015.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10016.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10017.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10018.mp4", "dataset/clvr/video_validation/video_10812.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 3"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11259.mp4", "dataset/clvr/video_validation/video_10019.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 3", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10020.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11887.mp4", "dataset/clvr/video_validation/video_10021.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10022.mp4", "dataset/clvr/video_validation/video_10270.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11872.mp4", "dataset/clvr/video_validation/video_10023.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11689.mp4", "dataset/clvr/video_validation/video_10024.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10385.mp4", "dataset/clvr/video_validation/video_10025.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11764.mp4", "dataset/clvr/video_validation/video_10026.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10027.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 5", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10028.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10029.mp4", "dataset/clvr/video_validation/video_11014.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10030.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10031.mp4", "dataset/clvr/video_validation/video_10862.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 4"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10032.mp4", "dataset/clvr/video_validation/video_11294.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) Video 2 -- 2", "E) Video 1 -- 5"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10033.mp4", "dataset/clvr/video_validation/video_10030.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10034.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 3"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11790.mp4", "dataset/clvr/video_validation/video_10035.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10164.mp4", "dataset/clvr/video_validation/video_10036.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10037.mp4", "dataset/clvr/video_validation/video_10543.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 2 -- 2", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10038.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) Video 1 -- 3", "D) Video 2 -- 6", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10039.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10468.mp4", "dataset/clvr/video_validation/video_10040.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10041.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 4", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10042.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10043.mp4", "dataset/clvr/video_validation/video_11225.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10044.mp4", "dataset/clvr/video_validation/video_10176.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10134.mp4", "dataset/clvr/video_validation/video_10045.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10046.mp4", "dataset/clvr/video_validation/video_11231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11706.mp4", "dataset/clvr/video_validation/video_10047.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10048.mp4", "dataset/clvr/video_validation/video_11015.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) Video 2 -- 5", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10049.mp4", "dataset/clvr/video_validation/video_10503.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) Video 1 -- 1"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10065.mp4", "dataset/clvr/video_validation/video_10050.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10051.mp4", "dataset/clvr/video_validation/video_10286.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 2", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10052.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 5"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10053.mp4", "dataset/clvr/video_validation/video_10416.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11373.mp4", "dataset/clvr/video_validation/video_10054.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 5", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11874.mp4", "dataset/clvr/video_validation/video_10055.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 5", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11062.mp4", "dataset/clvr/video_validation/video_10056.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10057.mp4", "dataset/clvr/video_validation/video_10380.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10058.mp4", "dataset/clvr/video_validation/video_11030.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 5", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11905.mp4", "dataset/clvr/video_validation/video_10059.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 6", "D) Video 1 -- 5", "E) Video 2 -- 3"], "answer": "E) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10060.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 3", "C) Video 1 -- 5", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10061.mp4", "dataset/clvr/video_validation/video_10345.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10062.mp4", "dataset/clvr/video_validation/video_10692.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10063.mp4", "dataset/clvr/video_validation/video_11690.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10064.mp4", "dataset/clvr/video_validation/video_11981.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10065.mp4", "dataset/clvr/video_validation/video_10499.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10066.mp4", "dataset/clvr/video_validation/video_11804.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 2", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10067.mp4", "dataset/clvr/video_validation/video_11920.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 3", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10068.mp4", "dataset/clvr/video_validation/video_10487.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 4", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11172.mp4", "dataset/clvr/video_validation/video_10069.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10070.mp4", "dataset/clvr/video_validation/video_11523.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10428.mp4", "dataset/clvr/video_validation/video_10071.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10072.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10073.mp4", "dataset/clvr/video_validation/video_10425.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10074.mp4", "dataset/clvr/video_validation/video_10976.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10075.mp4", "dataset/clvr/video_validation/video_10037.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) Video 2 -- 4"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10076.mp4", "dataset/clvr/video_validation/video_11462.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11225.mp4", "dataset/clvr/video_validation/video_10077.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11955.mp4", "dataset/clvr/video_validation/video_10078.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10079.mp4", "dataset/clvr/video_validation/video_11474.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10080.mp4", "dataset/clvr/video_validation/video_10292.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10285.mp4", "dataset/clvr/video_validation/video_10081.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10082.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 5", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10083.mp4", "dataset/clvr/video_validation/video_11847.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) Video 1 -- 5"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10245.mp4", "dataset/clvr/video_validation/video_10084.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 2 -- 4"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10085.mp4", "dataset/clvr/video_validation/video_11763.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11445.mp4", "dataset/clvr/video_validation/video_10086.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11166.mp4", "dataset/clvr/video_validation/video_10087.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 2 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10088.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10089.mp4", "dataset/clvr/video_validation/video_10469.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10090.mp4", "dataset/clvr/video_validation/video_11389.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 6", "B) Video 2 -- 3", "C) Video 1 -- 3", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10091.mp4", "dataset/clvr/video_validation/video_11804.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 5", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10092.mp4", "dataset/clvr/video_validation/video_11370.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) Video 1 -- 4", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10093.mp4", "dataset/clvr/video_validation/video_11054.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 6", "D) Video 1 -- 3", "E) Video 2 -- 3"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10020.mp4", "dataset/clvr/video_validation/video_10094.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 5"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10095.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10096.mp4", "dataset/clvr/video_validation/video_10912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) Video 2 -- 5", "E) Video 1 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10097.mp4", "dataset/clvr/video_validation/video_10200.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 2", "E) Video 1 -- 5"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10098.mp4", "dataset/clvr/video_validation/video_11231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11493.mp4", "dataset/clvr/video_validation/video_10099.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) Video 2 -- 4"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10100.mp4", "dataset/clvr/video_validation/video_11675.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 2", "E) Video 2 -- 1"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10091.mp4", "dataset/clvr/video_validation/video_10101.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10102.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 3", "D) Video 1 -- 2", "E) Video 2 -- 5"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11654.mp4", "dataset/clvr/video_validation/video_10103.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10104.mp4", "dataset/clvr/video_validation/video_11198.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11618.mp4", "dataset/clvr/video_validation/video_10105.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 2 -- 5"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10106.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10107.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10290.mp4", "dataset/clvr/video_validation/video_10108.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 4"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10109.mp4", "dataset/clvr/video_validation/video_11942.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10110.mp4", "dataset/clvr/video_validation/video_11271.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10915.mp4", "dataset/clvr/video_validation/video_10111.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10812.mp4", "dataset/clvr/video_validation/video_10112.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10791.mp4", "dataset/clvr/video_validation/video_10113.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10114.mp4", "dataset/clvr/video_validation/video_10510.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 5", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10115.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10116.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 6", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 4"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10117.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10118.mp4", "dataset/clvr/video_validation/video_11978.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 6", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10119.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10006.mp4", "dataset/clvr/video_validation/video_10120.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 5", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10520.mp4", "dataset/clvr/video_validation/video_10121.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10344.mp4", "dataset/clvr/video_validation/video_10122.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 3", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10209.mp4", "dataset/clvr/video_validation/video_10123.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10124.mp4", "dataset/clvr/video_validation/video_11225.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10125.mp4", "dataset/clvr/video_validation/video_10479.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10126.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 3", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 6"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10127.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11935.mp4", "dataset/clvr/video_validation/video_10128.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10129.mp4", "dataset/clvr/video_validation/video_11163.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10182.mp4", "dataset/clvr/video_validation/video_10130.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 4", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10523.mp4", "dataset/clvr/video_validation/video_10131.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 6", "E) Video 2 -- 3"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10132.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10133.mp4", "dataset/clvr/video_validation/video_10921.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) Video 1 -- 5"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10134.mp4", "dataset/clvr/video_validation/video_10009.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10135.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) Video 2 -- 6", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10136.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 2 -- 3", "D) Video 1 -- 5", "E) Video 1 -- 4"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10382.mp4", "dataset/clvr/video_validation/video_10137.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 4"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11833.mp4", "dataset/clvr/video_validation/video_10138.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) Video 1 -- 3", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11421.mp4", "dataset/clvr/video_validation/video_10139.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11981.mp4", "dataset/clvr/video_validation/video_10140.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10141.mp4", "dataset/clvr/video_validation/video_11580.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 5", "E) Video 1 -- 3"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11239.mp4", "dataset/clvr/video_validation/video_10142.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10061.mp4", "dataset/clvr/video_validation/video_10143.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10144.mp4", "dataset/clvr/video_validation/video_11544.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 2", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10145.mp4", "dataset/clvr/video_validation/video_10020.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 5", "C) Video 2 -- 2", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10146.mp4", "dataset/clvr/video_validation/video_11163.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10147.mp4", "dataset/clvr/video_validation/video_11710.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) Video 2 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10148.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 4", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11054.mp4", "dataset/clvr/video_validation/video_10149.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11569.mp4", "dataset/clvr/video_validation/video_10150.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10645.mp4", "dataset/clvr/video_validation/video_10151.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11538.mp4", "dataset/clvr/video_validation/video_10152.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 4"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10642.mp4", "dataset/clvr/video_validation/video_10153.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10716.mp4", "dataset/clvr/video_validation/video_10154.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10904.mp4", "dataset/clvr/video_validation/video_10155.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10156.mp4", "dataset/clvr/video_validation/video_11352.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10157.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10158.mp4", "dataset/clvr/video_validation/video_11944.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10159.mp4", "dataset/clvr/video_validation/video_10774.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10160.mp4", "dataset/clvr/video_validation/video_11134.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11795.mp4", "dataset/clvr/video_validation/video_10161.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 4"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10162.mp4", "dataset/clvr/video_validation/video_11956.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 4", "C) Video 1 -- 3", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10675.mp4", "dataset/clvr/video_validation/video_10163.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10164.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10165.mp4", "dataset/clvr/video_validation/video_10790.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 3", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10445.mp4", "dataset/clvr/video_validation/video_10166.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) Video 2 -- 4"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10167.mp4", "dataset/clvr/video_validation/video_11563.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 2", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10168.mp4", "dataset/clvr/video_validation/video_11157.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 2", "C) Video 2 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11632.mp4", "dataset/clvr/video_validation/video_10169.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 5"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10832.mp4", "dataset/clvr/video_validation/video_10170.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10171.mp4", "dataset/clvr/video_validation/video_10839.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 6", "B) Video 1 -- 3", "C) Video 2 -- 3", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10172.mp4", "dataset/clvr/video_validation/video_11231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10173.mp4", "dataset/clvr/video_validation/video_10176.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 3", "E) Video 1 -- 6"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10174.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11498.mp4", "dataset/clvr/video_validation/video_10175.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10176.mp4", "dataset/clvr/video_validation/video_11614.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) Video 1 -- 2"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11089.mp4", "dataset/clvr/video_validation/video_10177.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10178.mp4", "dataset/clvr/video_validation/video_11474.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 3", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10179.mp4", "dataset/clvr/video_validation/video_10791.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 5", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_11617.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 5", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10181.mp4", "dataset/clvr/video_validation/video_10021.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10182.mp4", "dataset/clvr/video_validation/video_10478.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 1", "E) Video 1 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10081.mp4", "dataset/clvr/video_validation/video_10183.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10184.mp4", "dataset/clvr/video_validation/video_10840.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10185.mp4", "dataset/clvr/video_validation/video_11646.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10186.mp4", "dataset/clvr/video_validation/video_11166.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11994.mp4", "dataset/clvr/video_validation/video_10187.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11917.mp4", "dataset/clvr/video_validation/video_10188.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) Video 1 -- 5", "E) Video 2 -- 3"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10189.mp4", "dataset/clvr/video_validation/video_10565.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11590.mp4", "dataset/clvr/video_validation/video_10190.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 3", "D) Video 1 -- 5", "E) Video 2 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10191.mp4", "dataset/clvr/video_validation/video_11226.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10791.mp4", "dataset/clvr/video_validation/video_10192.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10449.mp4", "dataset/clvr/video_validation/video_10193.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 4"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10194.mp4", "dataset/clvr/video_validation/video_11266.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 4", "D) Video 2 -- 3", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10195.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 2", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10196.mp4", "dataset/clvr/video_validation/video_11811.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10548.mp4", "dataset/clvr/video_validation/video_10197.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11297.mp4", "dataset/clvr/video_validation/video_10198.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 5", "D) Video 1 -- 2", "E) Video 1 -- 3"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10549.mp4", "dataset/clvr/video_validation/video_10199.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10200.mp4", "dataset/clvr/video_validation/video_10384.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10955.mp4", "dataset/clvr/video_validation/video_10201.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11680.mp4", "dataset/clvr/video_validation/video_10202.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 2 -- 1", "D) Video 1 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10203.mp4", "dataset/clvr/video_validation/video_11989.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10204.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 1 -- 3", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10205.mp4", "dataset/clvr/video_validation/video_10327.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10206.mp4", "dataset/clvr/video_validation/video_10039.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 4"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10207.mp4", "dataset/clvr/video_validation/video_11248.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10208.mp4", "dataset/clvr/video_validation/video_11709.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 4", "C) Video 1 -- 5", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10209.mp4", "dataset/clvr/video_validation/video_10203.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10210.mp4", "dataset/clvr/video_validation/video_10651.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10176.mp4", "dataset/clvr/video_validation/video_10211.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10212.mp4", "dataset/clvr/video_validation/video_11214.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10716.mp4", "dataset/clvr/video_validation/video_10213.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 5", "C) Video 2 -- 4", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10214.mp4", "dataset/clvr/video_validation/video_10729.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 1 -- 4", "D) Video 2 -- 1", "E) Video 2 -- 3"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10215.mp4", "dataset/clvr/video_validation/video_11893.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10216.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10499.mp4", "dataset/clvr/video_validation/video_10217.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 3", "E) Video 1 -- 5"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10218.mp4", "dataset/clvr/video_validation/video_10397.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) Video 1 -- 4"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10219.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10582.mp4", "dataset/clvr/video_validation/video_10220.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10221.mp4", "dataset/clvr/video_validation/video_11680.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 2", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10222.mp4", "dataset/clvr/video_validation/video_10216.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) Video 2 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11918.mp4", "dataset/clvr/video_validation/video_10223.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 2 -- 3", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10224.mp4", "dataset/clvr/video_validation/video_11327.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10225.mp4", "dataset/clvr/video_validation/video_10282.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10226.mp4", "dataset/clvr/video_validation/video_11377.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11687.mp4", "dataset/clvr/video_validation/video_10227.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 4"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10228.mp4", "dataset/clvr/video_validation/video_11811.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10229.mp4", "dataset/clvr/video_validation/video_10769.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10087.mp4", "dataset/clvr/video_validation/video_10230.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10110.mp4", "dataset/clvr/video_validation/video_10231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 4"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10232.mp4", "dataset/clvr/video_validation/video_11408.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 5", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10233.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11841.mp4", "dataset/clvr/video_validation/video_10234.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 2 -- 1", "E) Video 1 -- 2"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10235.mp4", "dataset/clvr/video_validation/video_10635.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10236.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 1", "C) Video 2 -- 3", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11437.mp4", "dataset/clvr/video_validation/video_10237.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 5", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10238.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10239.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 3", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10240.mp4", "dataset/clvr/video_validation/video_10375.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 5", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 2 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11437.mp4", "dataset/clvr/video_validation/video_10241.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 6", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10242.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10243.mp4", "dataset/clvr/video_validation/video_10993.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11004.mp4", "dataset/clvr/video_validation/video_10244.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10733.mp4", "dataset/clvr/video_validation/video_10245.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11329.mp4", "dataset/clvr/video_validation/video_10246.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10247.mp4", "dataset/clvr/video_validation/video_11389.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10248.mp4", "dataset/clvr/video_validation/video_10407.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 2", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10249.mp4", "dataset/clvr/video_validation/video_11955.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 2 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10250.mp4", "dataset/clvr/video_validation/video_11088.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10251.mp4", "dataset/clvr/video_validation/video_10904.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10252.mp4", "dataset/clvr/video_validation/video_10468.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10253.mp4", "dataset/clvr/video_validation/video_10642.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10254.mp4", "dataset/clvr/video_validation/video_11368.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10255.mp4", "dataset/clvr/video_validation/video_11498.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10256.mp4", "dataset/clvr/video_validation/video_10311.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 2", "D) Video 1 -- 5", "E) Video 2 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10257.mp4", "dataset/clvr/video_validation/video_10262.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 5", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10258.mp4", "dataset/clvr/video_validation/video_11399.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 1 -- 7", "D) Video 2 -- 4", "E) Video 2 -- 5"], "answer": "B) Video 1 -- 4", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10259.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 1 -- 4"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11801.mp4", "dataset/clvr/video_validation/video_10260.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 1 -- 4", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11399.mp4", "dataset/clvr/video_validation/video_10261.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 1", "C) Video 2 -- 5", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10262.mp4", "dataset/clvr/video_validation/video_10827.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 4"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10263.mp4", "dataset/clvr/video_validation/video_11449.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10264.mp4", "dataset/clvr/video_validation/video_11060.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 2 -- 5"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10265.mp4", "dataset/clvr/video_validation/video_10687.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 3"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11591.mp4", "dataset/clvr/video_validation/video_10266.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 4", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11920.mp4", "dataset/clvr/video_validation/video_10267.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10283.mp4", "dataset/clvr/video_validation/video_10268.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10269.mp4", "dataset/clvr/video_validation/video_11198.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10270.mp4", "dataset/clvr/video_validation/video_11357.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10271.mp4", "dataset/clvr/video_validation/video_11007.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10272.mp4", "dataset/clvr/video_validation/video_10815.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10496.mp4", "dataset/clvr/video_validation/video_10273.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10274.mp4", "dataset/clvr/video_validation/video_11688.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 3", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10384.mp4", "dataset/clvr/video_validation/video_10275.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11131.mp4", "dataset/clvr/video_validation/video_10276.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10306.mp4", "dataset/clvr/video_validation/video_10277.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 5", "E) Video 1 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10186.mp4", "dataset/clvr/video_validation/video_10278.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10279.mp4", "dataset/clvr/video_validation/video_11618.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 3", "C) Video 2 -- 6", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10280.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10281.mp4", "dataset/clvr/video_validation/video_10052.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10282.mp4", "dataset/clvr/video_validation/video_10270.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10283.mp4", "dataset/clvr/video_validation/video_11682.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11230.mp4", "dataset/clvr/video_validation/video_10284.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 4"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10285.mp4", "dataset/clvr/video_validation/video_11004.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 2 -- 2"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10286.mp4", "dataset/clvr/video_validation/video_10477.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11471.mp4", "dataset/clvr/video_validation/video_10287.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 2", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10380.mp4", "dataset/clvr/video_validation/video_10288.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) Video 1 -- 4"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11552.mp4", "dataset/clvr/video_validation/video_10289.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11591.mp4", "dataset/clvr/video_validation/video_10290.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11795.mp4", "dataset/clvr/video_validation/video_10291.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 2 -- 6", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10292.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 3", "C) Video 1 -- 6", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10293.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 1 -- 2", "E) Video 2 -- 3"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10294.mp4", "dataset/clvr/video_validation/video_11664.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 5", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10295.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10296.mp4", "dataset/clvr/video_validation/video_11322.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11273.mp4", "dataset/clvr/video_validation/video_10297.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 5", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 6"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10298.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 2 -- 3"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10299.mp4", "dataset/clvr/video_validation/video_11520.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10380.mp4", "dataset/clvr/video_validation/video_10300.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10301.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10302.mp4", "dataset/clvr/video_validation/video_11462.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10303.mp4", "dataset/clvr/video_validation/video_11042.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 3", "C) Video 2 -- 6", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10304.mp4", "dataset/clvr/video_validation/video_11163.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11740.mp4", "dataset/clvr/video_validation/video_10305.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 5", "C) Video 1 -- 4", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10306.mp4", "dataset/clvr/video_validation/video_10545.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10108.mp4", "dataset/clvr/video_validation/video_10307.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 5", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10308.mp4", "dataset/clvr/video_validation/video_11464.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 3", "C) Video 1 -- 5", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10309.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 3", "D) Video 1 -- 4", "E) Video 2 -- 6"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10310.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 2 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10311.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 3", "C) Video 1 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10312.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10313.mp4", "dataset/clvr/video_validation/video_11205.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10314.mp4", "dataset/clvr/video_validation/video_10661.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10315.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 3"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10134.mp4", "dataset/clvr/video_validation/video_10316.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 4", "C) Video 2 -- 3", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10317.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10318.mp4", "dataset/clvr/video_validation/video_10405.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10319.mp4", "dataset/clvr/video_validation/video_10416.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11876.mp4", "dataset/clvr/video_validation/video_10320.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11688.mp4", "dataset/clvr/video_validation/video_10321.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 2", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11288.mp4", "dataset/clvr/video_validation/video_10322.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 4", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11751.mp4", "dataset/clvr/video_validation/video_10323.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10324.mp4", "dataset/clvr/video_validation/video_10574.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10325.mp4", "dataset/clvr/video_validation/video_11068.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 5", "E) Video 2 -- 4"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11059.mp4", "dataset/clvr/video_validation/video_10326.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11453.mp4", "dataset/clvr/video_validation/video_10327.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10328.mp4", "dataset/clvr/video_validation/video_11795.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 2", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10169.mp4", "dataset/clvr/video_validation/video_10329.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 4"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11674.mp4", "dataset/clvr/video_validation/video_10330.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 2 -- 5"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11763.mp4", "dataset/clvr/video_validation/video_10331.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 1 -- 3"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11570.mp4", "dataset/clvr/video_validation/video_10332.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10499.mp4", "dataset/clvr/video_validation/video_10333.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 5", "E) Video 2 -- 2"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10334.mp4", "dataset/clvr/video_validation/video_10469.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10335.mp4", "dataset/clvr/video_validation/video_10548.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 2", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10336.mp4", "dataset/clvr/video_validation/video_11905.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 2", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10337.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 5"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10338.mp4", "dataset/clvr/video_validation/video_10732.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 2 -- 4", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10431.mp4", "dataset/clvr/video_validation/video_10339.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10340.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 2 -- 3", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10341.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 2", "C) Video 1 -- 3", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10342.mp4", "dataset/clvr/video_validation/video_10715.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11524.mp4", "dataset/clvr/video_validation/video_10343.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10986.mp4", "dataset/clvr/video_validation/video_10344.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10345.mp4", "dataset/clvr/video_validation/video_10416.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10346.mp4", "dataset/clvr/video_validation/video_11524.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 3", "C) Video 2 -- 5", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10347.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 6", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 3"], "answer": "E) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10348.mp4", "dataset/clvr/video_validation/video_11409.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10349.mp4", "dataset/clvr/video_validation/video_11157.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10907.mp4", "dataset/clvr/video_validation/video_10350.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10351.mp4", "dataset/clvr/video_validation/video_11448.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 5", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10352.mp4", "dataset/clvr/video_validation/video_11409.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10353.mp4", "dataset/clvr/video_validation/video_10574.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11357.mp4", "dataset/clvr/video_validation/video_10354.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10355.mp4", "dataset/clvr/video_validation/video_10872.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 6", "C) Video 2 -- 3", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10356.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10357.mp4", "dataset/clvr/video_validation/video_11639.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10358.mp4", "dataset/clvr/video_validation/video_10859.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11167.mp4", "dataset/clvr/video_validation/video_10359.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10206.mp4", "dataset/clvr/video_validation/video_10360.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10361.mp4", "dataset/clvr/video_validation/video_11265.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 2 -- 2", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10362.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10363.mp4", "dataset/clvr/video_validation/video_10003.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 3"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11265.mp4", "dataset/clvr/video_validation/video_10364.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11703.mp4", "dataset/clvr/video_validation/video_10365.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11419.mp4", "dataset/clvr/video_validation/video_10366.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 5", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10653.mp4", "dataset/clvr/video_validation/video_10367.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 2 -- 5", "E) Video 1 -- 1"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10368.mp4", "dataset/clvr/video_validation/video_11532.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10350.mp4", "dataset/clvr/video_validation/video_10369.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 5", "D) Video 2 -- 3", "E) Video 1 -- 3"], "answer": "D) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10370.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10801.mp4", "dataset/clvr/video_validation/video_10371.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10372.mp4", "dataset/clvr/video_validation/video_11451.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10373.mp4", "dataset/clvr/video_validation/video_11060.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 3", "D) Video 1 -- 5", "E) Video 2 -- 4"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10374.mp4", "dataset/clvr/video_validation/video_10372.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11288.mp4", "dataset/clvr/video_validation/video_10375.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11811.mp4", "dataset/clvr/video_validation/video_10376.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10377.mp4", "dataset/clvr/video_validation/video_11044.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 3", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10435.mp4", "dataset/clvr/video_validation/video_10378.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 3", "E) Video 1 -- 4"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10379.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 1 -- 3", "E) Video 2 -- 3"], "answer": "E) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_11060.mp4", "dataset/clvr/video_validation/video_10380.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 3", "D) Video 1 -- 4", "E) Video 2 -- 5"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10381.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 2", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10382.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) Video 1 -- 3", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10383.mp4", "dataset/clvr/video_validation/video_11015.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 5", "E) Video 1 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11618.mp4", "dataset/clvr/video_validation/video_10384.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10385.mp4", "dataset/clvr/video_validation/video_10548.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11564.mp4", "dataset/clvr/video_validation/video_10386.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10387.mp4", "dataset/clvr/video_validation/video_11248.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10991.mp4", "dataset/clvr/video_validation/video_10388.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) Video 1 -- 4"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10389.mp4", "dataset/clvr/video_validation/video_11202.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10390.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 4", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10548.mp4", "dataset/clvr/video_validation/video_10391.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10392.mp4", "dataset/clvr/video_validation/video_11157.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10393.mp4", "dataset/clvr/video_validation/video_11910.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10431.mp4", "dataset/clvr/video_validation/video_10394.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 2 -- 4"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10395.mp4", "dataset/clvr/video_validation/video_11577.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10396.mp4", "dataset/clvr/video_validation/video_10083.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 2"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10397.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 5", "E) Video 1 -- 1"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11445.mp4", "dataset/clvr/video_validation/video_10398.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10203.mp4", "dataset/clvr/video_validation/video_10399.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 3"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10400.mp4", "dataset/clvr/video_validation/video_11214.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 3", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10401.mp4", "dataset/clvr/video_validation/video_10068.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 5", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10402.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10403.mp4", "dataset/clvr/video_validation/video_11905.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11768.mp4", "dataset/clvr/video_validation/video_10404.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11858.mp4", "dataset/clvr/video_validation/video_10405.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10406.mp4", "dataset/clvr/video_validation/video_11517.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10407.mp4", "dataset/clvr/video_validation/video_11570.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11167.mp4", "dataset/clvr/video_validation/video_10408.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 4"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10409.mp4", "dataset/clvr/video_validation/video_11582.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 4", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11847.mp4", "dataset/clvr/video_validation/video_10410.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10411.mp4", "dataset/clvr/video_validation/video_10280.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10412.mp4", "dataset/clvr/video_validation/video_10832.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11309.mp4", "dataset/clvr/video_validation/video_10413.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) Video 1 -- 3"], "answer": "D) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10414.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 5", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10399.mp4", "dataset/clvr/video_validation/video_10415.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 4"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11968.mp4", "dataset/clvr/video_validation/video_10416.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10417.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 5", "C) Video 2 -- 2", "D) Video 2 -- 4", "E) Video 1 -- 3"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11326.mp4", "dataset/clvr/video_validation/video_10418.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10419.mp4", "dataset/clvr/video_validation/video_10070.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 6", "B) Video 2 -- 5", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10420.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10421.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) Video 2 -- 3"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10050.mp4", "dataset/clvr/video_validation/video_10422.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10176.mp4", "dataset/clvr/video_validation/video_10423.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 5"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11044.mp4", "dataset/clvr/video_validation/video_10424.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10425.mp4", "dataset/clvr/video_validation/video_11098.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11421.mp4", "dataset/clvr/video_validation/video_10426.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 5", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11205.mp4", "dataset/clvr/video_validation/video_10427.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10428.mp4", "dataset/clvr/video_validation/video_10733.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10429.mp4", "dataset/clvr/video_validation/video_11157.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10430.mp4", "dataset/clvr/video_validation/video_10528.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 2 -- 3", "D) Video 1 -- 4", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11661.mp4", "dataset/clvr/video_validation/video_10431.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10432.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 6", "C) Video 2 -- 4", "D) Video 1 -- 7", "E) Video 1 -- 4"], "answer": "E) Video 1 -- 4", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10433.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 4", "D) Video 2 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10434.mp4", "dataset/clvr/video_validation/video_11867.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10905.mp4", "dataset/clvr/video_validation/video_10435.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 5", "D) Video 1 -- 1", "E) Video 1 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10820.mp4", "dataset/clvr/video_validation/video_10436.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11512.mp4", "dataset/clvr/video_validation/video_10437.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 1 -- 5", "D) Video 2 -- 3", "E) Video 2 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10438.mp4", "dataset/clvr/video_validation/video_11526.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 4"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10439.mp4", "dataset/clvr/video_validation/video_11872.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 6", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 1 -- 4"], "answer": "A) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10440.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10441.mp4", "dataset/clvr/video_validation/video_10978.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10442.mp4", "dataset/clvr/video_validation/video_10209.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10764.mp4", "dataset/clvr/video_validation/video_10443.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 6", "D) Video 2 -- 5", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10444.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10445.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10259.mp4", "dataset/clvr/video_validation/video_10446.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10921.mp4", "dataset/clvr/video_validation/video_10447.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 2", "C) Video 1 -- 5", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10577.mp4", "dataset/clvr/video_validation/video_10448.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 1 -- 4", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11540.mp4", "dataset/clvr/video_validation/video_10449.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 6", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10450.mp4", "dataset/clvr/video_validation/video_10153.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10642.mp4", "dataset/clvr/video_validation/video_10451.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10452.mp4", "dataset/clvr/video_validation/video_10219.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10453.mp4", "dataset/clvr/video_validation/video_11966.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10454.mp4", "dataset/clvr/video_validation/video_11743.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 3", "D) Video 2 -- 1", "E) Video 1 -- 4"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10455.mp4", "dataset/clvr/video_validation/video_10031.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10456.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) Video 2 -- 5"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10457.mp4", "dataset/clvr/video_validation/video_10642.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10458.mp4", "dataset/clvr/video_validation/video_11265.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 4", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10588.mp4", "dataset/clvr/video_validation/video_10459.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11605.mp4", "dataset/clvr/video_validation/video_10460.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 2 -- 5", "D) Video 1 -- 3", "E) Video 1 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11557.mp4", "dataset/clvr/video_validation/video_10461.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 6", "D) Video 2 -- 3", "E) Video 1 -- 4"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10462.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) Video 1 -- 5", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10463.mp4", "dataset/clvr/video_validation/video_10879.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 5", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 3"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10464.mp4", "dataset/clvr/video_validation/video_10782.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 5", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10465.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10466.mp4", "dataset/clvr/video_validation/video_11453.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 1 -- 5", "E) Video 2 -- 1"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10415.mp4", "dataset/clvr/video_validation/video_10467.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10268.mp4", "dataset/clvr/video_validation/video_10468.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10980.mp4", "dataset/clvr/video_validation/video_10469.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 6", "B) Video 2 -- 3", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10470.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10471.mp4", "dataset/clvr/video_validation/video_11421.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 3", "C) Video 2 -- 6", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10472.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 4"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10473.mp4", "dataset/clvr/video_validation/video_10811.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10474.mp4", "dataset/clvr/video_validation/video_10039.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 5", "E) Video 1 -- 3"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10124.mp4", "dataset/clvr/video_validation/video_10475.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) Video 2 -- 3", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10476.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 4"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10477.mp4", "dataset/clvr/video_validation/video_10978.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11094.mp4", "dataset/clvr/video_validation/video_10478.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 3", "C) Video 2 -- 5", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10479.mp4", "dataset/clvr/video_validation/video_10955.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 1 -- 6", "E) Video 2 -- 4"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10480.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 6", "E) Video 2 -- 3"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10481.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 3"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10482.mp4", "dataset/clvr/video_validation/video_11646.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 5", "E) Video 2 -- 1"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10798.mp4", "dataset/clvr/video_validation/video_10483.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11958.mp4", "dataset/clvr/video_validation/video_10484.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10859.mp4", "dataset/clvr/video_validation/video_10485.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11171.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 1 -- 4", "D) Video 2 -- 1", "E) Video 2 -- 3"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10487.mp4", "dataset/clvr/video_validation/video_10821.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10488.mp4", "dataset/clvr/video_validation/video_11453.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11327.mp4", "dataset/clvr/video_validation/video_10489.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10490.mp4", "dataset/clvr/video_validation/video_10696.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 6", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 4", "E) Video 2 -- 3"], "answer": "E) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10491.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) Video 1 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10336.mp4", "dataset/clvr/video_validation/video_10492.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10582.mp4", "dataset/clvr/video_validation/video_10493.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10494.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) Video 1 -- 3"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11265.mp4", "dataset/clvr/video_validation/video_10495.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 5", "C) Video 2 -- 6", "D) Video 1 -- 3", "E) Video 2 -- 3"], "answer": "E) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10496.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 2 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10000.mp4", "dataset/clvr/video_validation/video_10497.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 2", "D) Video 1 -- 5", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10498.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10183.mp4", "dataset/clvr/video_validation/video_10499.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 1 -- 2", "C) Video 2 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10110.mp4", "dataset/clvr/video_validation/video_10500.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10501.mp4", "dataset/clvr/video_validation/video_11474.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 1 -- 5", "D) Video 2 -- 2", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10502.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 5", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_11214.mp4", "dataset/clvr/video_validation/video_10503.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10715.mp4", "dataset/clvr/video_validation/video_10504.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10519.mp4", "dataset/clvr/video_validation/video_10505.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11411.mp4", "dataset/clvr/video_validation/video_10506.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11920.mp4", "dataset/clvr/video_validation/video_10507.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 6", "D) Video 1 -- 3", "E) Video 2 -- 4"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10508.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) Video 2 -- 5"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11076.mp4", "dataset/clvr/video_validation/video_10509.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10510.mp4", "dataset/clvr/video_validation/video_10244.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10511.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) Video 2 -- 3", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10512.mp4", "dataset/clvr/video_validation/video_11361.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 6"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10513.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11917.mp4", "dataset/clvr/video_validation/video_10514.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11265.mp4", "dataset/clvr/video_validation/video_10515.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 4", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10516.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10206.mp4", "dataset/clvr/video_validation/video_10517.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 5", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10518.mp4", "dataset/clvr/video_validation/video_10378.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10519.mp4", "dataset/clvr/video_validation/video_11060.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 4", "C) Video 2 -- 3", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10520.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10521.mp4", "dataset/clvr/video_validation/video_10411.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) Video 2 -- 5"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10522.mp4", "dataset/clvr/video_validation/video_11108.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 3", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10514.mp4", "dataset/clvr/video_validation/video_10523.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10524.mp4", "dataset/clvr/video_validation/video_10590.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 5", "C) Video 2 -- 6", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10525.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 1 -- 5", "E) Video 2 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11255.mp4", "dataset/clvr/video_validation/video_10526.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10000.mp4", "dataset/clvr/video_validation/video_10527.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10205.mp4", "dataset/clvr/video_validation/video_10528.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 4", "E) Video 1 -- 2"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10908.mp4", "dataset/clvr/video_validation/video_10529.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11753.mp4", "dataset/clvr/video_validation/video_10530.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10531.mp4", "dataset/clvr/video_validation/video_11474.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 1", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10532.mp4", "dataset/clvr/video_validation/video_11033.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10533.mp4", "dataset/clvr/video_validation/video_10659.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 4", "C) Video 2 -- 2", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10996.mp4", "dataset/clvr/video_validation/video_10534.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10535.mp4", "dataset/clvr/video_validation/video_10955.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10536.mp4", "dataset/clvr/video_validation/video_10035.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10002.mp4", "dataset/clvr/video_validation/video_10537.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10182.mp4", "dataset/clvr/video_validation/video_10538.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10940.mp4", "dataset/clvr/video_validation/video_10539.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10332.mp4", "dataset/clvr/video_validation/video_10540.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11535.mp4", "dataset/clvr/video_validation/video_10541.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10542.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10543.mp4", "dataset/clvr/video_validation/video_11508.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 5", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10735.mp4", "dataset/clvr/video_validation/video_10544.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 1 -- 3"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10701.mp4", "dataset/clvr/video_validation/video_10545.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10546.mp4", "dataset/clvr/video_validation/video_10945.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10547.mp4", "dataset/clvr/video_validation/video_10629.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10548.mp4", "dataset/clvr/video_validation/video_11139.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10549.mp4", "dataset/clvr/video_validation/video_10020.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10102.mp4", "dataset/clvr/video_validation/video_10550.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 2", "C) Video 2 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10295.mp4", "dataset/clvr/video_validation/video_10551.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 4", "D) Video 2 -- 2", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11464.mp4", "dataset/clvr/video_validation/video_10552.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11961.mp4", "dataset/clvr/video_validation/video_10553.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10915.mp4", "dataset/clvr/video_validation/video_10554.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11015.mp4", "dataset/clvr/video_validation/video_10555.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 2"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10385.mp4", "dataset/clvr/video_validation/video_10556.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10557.mp4", "dataset/clvr/video_validation/video_11960.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11683.mp4", "dataset/clvr/video_validation/video_10558.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 5", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10559.mp4", "dataset/clvr/video_validation/video_11764.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 5", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10560.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10561.mp4", "dataset/clvr/video_validation/video_11896.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10562.mp4", "dataset/clvr/video_validation/video_10882.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 4", "C) Video 1 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10134.mp4", "dataset/clvr/video_validation/video_10563.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10564.mp4", "dataset/clvr/video_validation/video_11880.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10565.mp4", "dataset/clvr/video_validation/video_10801.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11300.mp4", "dataset/clvr/video_validation/video_10566.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 1 -- 4", "D) Video 2 -- 2", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11474.mp4", "dataset/clvr/video_validation/video_10567.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) Video 2 -- 4", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10568.mp4", "dataset/clvr/video_validation/video_11231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10569.mp4", "dataset/clvr/video_validation/video_10645.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10904.mp4", "dataset/clvr/video_validation/video_10570.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10131.mp4", "dataset/clvr/video_validation/video_10571.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11248.mp4", "dataset/clvr/video_validation/video_10572.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 5"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11055.mp4", "dataset/clvr/video_validation/video_10573.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10574.mp4", "dataset/clvr/video_validation/video_11865.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) Video 1 -- 5"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10575.mp4", "dataset/clvr/video_validation/video_10172.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10543.mp4", "dataset/clvr/video_validation/video_10576.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 3", "E) Video 2 -- 4"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10577.mp4", "dataset/clvr/video_validation/video_11421.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10578.mp4", "dataset/clvr/video_validation/video_11010.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10222.mp4", "dataset/clvr/video_validation/video_10579.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 5", "D) Video 2 -- 3", "E) Video 1 -- 3"], "answer": "D) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10580.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10581.mp4", "dataset/clvr/video_validation/video_10325.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10077.mp4", "dataset/clvr/video_validation/video_10582.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10583.mp4", "dataset/clvr/video_validation/video_10993.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 7", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 4", "E) Video 2 -- 4"], "answer": "E) Video 2 -- 4", "videos": ["dataset/clvr/video_validation/video_10584.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10585.mp4", "dataset/clvr/video_validation/video_11182.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10245.mp4", "dataset/clvr/video_validation/video_10586.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 2"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11712.mp4", "dataset/clvr/video_validation/video_10587.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11122.mp4", "dataset/clvr/video_validation/video_10588.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10049.mp4", "dataset/clvr/video_validation/video_10589.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 3", "C) Video 2 -- 3", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10590.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10732.mp4", "dataset/clvr/video_validation/video_10591.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10592.mp4", "dataset/clvr/video_validation/video_11330.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10602.mp4", "dataset/clvr/video_validation/video_10593.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11830.mp4", "dataset/clvr/video_validation/video_10594.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10595.mp4", "dataset/clvr/video_validation/video_10433.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10104.mp4", "dataset/clvr/video_validation/video_10596.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 3", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10597.mp4", "dataset/clvr/video_validation/video_11131.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10598.mp4", "dataset/clvr/video_validation/video_11647.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11785.mp4", "dataset/clvr/video_validation/video_10599.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 5", "E) Video 2 -- 2"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10600.mp4", "dataset/clvr/video_validation/video_11378.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 1 -- 3", "E) Video 2 -- 6"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10601.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11861.mp4", "dataset/clvr/video_validation/video_10602.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10171.mp4", "dataset/clvr/video_validation/video_10603.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 5", "E) Video 2 -- 4"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10604.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) Video 1 -- 3", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10605.mp4", "dataset/clvr/video_validation/video_11919.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10606.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10607.mp4", "dataset/clvr/video_validation/video_11657.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11463.mp4", "dataset/clvr/video_validation/video_10608.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 2", "D) Video 1 -- 2", "E) Video 2 -- 5"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10609.mp4", "dataset/clvr/video_validation/video_11163.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 2 -- 5", "E) Video 1 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10611.mp4", "dataset/clvr/video_validation/video_10610.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 5", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10611.mp4", "dataset/clvr/video_validation/video_11357.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 4"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11369.mp4", "dataset/clvr/video_validation/video_10612.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 4", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10164.mp4", "dataset/clvr/video_validation/video_10613.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10614.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11876.mp4", "dataset/clvr/video_validation/video_10615.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10616.mp4", "dataset/clvr/video_validation/video_11550.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10617.mp4", "dataset/clvr/video_validation/video_11690.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) Video 2 -- 5"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10618.mp4", "dataset/clvr/video_validation/video_11788.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 5", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10619.mp4", "dataset/clvr/video_validation/video_11605.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10620.mp4", "dataset/clvr/video_validation/video_11136.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 4"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11421.mp4", "dataset/clvr/video_validation/video_10621.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11122.mp4", "dataset/clvr/video_validation/video_10622.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10623.mp4", "dataset/clvr/video_validation/video_10642.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 2 -- 3", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11196.mp4", "dataset/clvr/video_validation/video_10624.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11942.mp4", "dataset/clvr/video_validation/video_10625.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11286.mp4", "dataset/clvr/video_validation/video_10626.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10627.mp4", "dataset/clvr/video_validation/video_11919.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10628.mp4", "dataset/clvr/video_validation/video_11426.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11978.mp4", "dataset/clvr/video_validation/video_10629.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10630.mp4", "dataset/clvr/video_validation/video_11512.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10631.mp4", "dataset/clvr/video_validation/video_10203.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 4", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10632.mp4", "dataset/clvr/video_validation/video_11683.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11982.mp4", "dataset/clvr/video_validation/video_10633.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10634.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11547.mp4", "dataset/clvr/video_validation/video_10635.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10692.mp4", "dataset/clvr/video_validation/video_10636.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 5", "D) Video 2 -- 3", "E) Video 1 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10706.mp4", "dataset/clvr/video_validation/video_10637.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 1 -- 6", "D) Video 2 -- 4", "E) Video 2 -- 3"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10638.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10639.mp4", "dataset/clvr/video_validation/video_11900.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 6", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10640.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10641.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10875.mp4", "dataset/clvr/video_validation/video_10642.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10643.mp4", "dataset/clvr/video_validation/video_11231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 3", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10644.mp4", "dataset/clvr/video_validation/video_11417.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 1 -- 5", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10645.mp4", "dataset/clvr/video_validation/video_11253.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 2", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10646.mp4", "dataset/clvr/video_validation/video_10081.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 4", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10560.mp4", "dataset/clvr/video_validation/video_10647.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11605.mp4", "dataset/clvr/video_validation/video_10648.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10649.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10762.mp4", "dataset/clvr/video_validation/video_10650.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) Video 2 -- 6", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10651.mp4", "dataset/clvr/video_validation/video_10190.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 1 -- 5", "D) Video 2 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10859.mp4", "dataset/clvr/video_validation/video_10652.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10780.mp4", "dataset/clvr/video_validation/video_10653.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10654.mp4", "dataset/clvr/video_validation/video_11474.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10655.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10656.mp4", "dataset/clvr/video_validation/video_11871.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 6", "C) Video 2 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10657.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10380.mp4", "dataset/clvr/video_validation/video_10658.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 2"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10659.mp4", "dataset/clvr/video_validation/video_10619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10660.mp4", "dataset/clvr/video_validation/video_11264.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10661.mp4", "dataset/clvr/video_validation/video_11381.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 1", "C) Video 2 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10662.mp4", "dataset/clvr/video_validation/video_10087.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 2"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11464.mp4", "dataset/clvr/video_validation/video_10663.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 6", "E) Video 1 -- 3"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10664.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10665.mp4", "dataset/clvr/video_validation/video_10375.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10666.mp4", "dataset/clvr/video_validation/video_11172.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10667.mp4", "dataset/clvr/video_validation/video_10868.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10668.mp4", "dataset/clvr/video_validation/video_10385.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10669.mp4", "dataset/clvr/video_validation/video_11890.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 1 -- 4", "D) Video 2 -- 3", "E) Video 2 -- 5"], "answer": "D) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10670.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10671.mp4", "dataset/clvr/video_validation/video_11457.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10549.mp4", "dataset/clvr/video_validation/video_10672.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 6", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 5", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10673.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10674.mp4", "dataset/clvr/video_validation/video_11373.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) Video 2 -- 5"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11656.mp4", "dataset/clvr/video_validation/video_10675.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10823.mp4", "dataset/clvr/video_validation/video_10676.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10677.mp4", "dataset/clvr/video_validation/video_11747.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 6", "B) Video 2 -- 4", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10678.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10679.mp4", "dataset/clvr/video_validation/video_10942.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10680.mp4", "dataset/clvr/video_validation/video_11249.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 6", "D) Video 2 -- 3", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10681.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10177.mp4", "dataset/clvr/video_validation/video_10682.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10683.mp4", "dataset/clvr/video_validation/video_11466.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 5", "D) Video 1 -- 3", "E) Video 2 -- 3"], "answer": "E) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10684.mp4", "dataset/clvr/video_validation/video_11163.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11166.mp4", "dataset/clvr/video_validation/video_10685.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10327.mp4", "dataset/clvr/video_validation/video_10686.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10687.mp4", "dataset/clvr/video_validation/video_10927.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10688.mp4", "dataset/clvr/video_validation/video_11955.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10689.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 2"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10690.mp4", "dataset/clvr/video_validation/video_10190.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 6", "E) Video 1 -- 4"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10691.mp4", "dataset/clvr/video_validation/video_10431.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10692.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11524.mp4", "dataset/clvr/video_validation/video_10693.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 4", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10694.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10695.mp4", "dataset/clvr/video_validation/video_11683.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10696.mp4", "dataset/clvr/video_validation/video_11102.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10124.mp4", "dataset/clvr/video_validation/video_10697.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 6", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10698.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10699.mp4", "dataset/clvr/video_validation/video_10732.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 3"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11294.mp4", "dataset/clvr/video_validation/video_10700.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10087.mp4", "dataset/clvr/video_validation/video_10701.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11049.mp4", "dataset/clvr/video_validation/video_10702.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) Video 1 -- 2", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10703.mp4", "dataset/clvr/video_validation/video_10886.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 1 -- 5", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11015.mp4", "dataset/clvr/video_validation/video_10704.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 5", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 4"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10306.mp4", "dataset/clvr/video_validation/video_10705.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10706.mp4", "dataset/clvr/video_validation/video_11919.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 3", "D) Video 1 -- 6", "E) Video 2 -- 2"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10707.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 6", "D) Video 1 -- 3", "E) Video 1 -- 4"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10708.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 2 -- 5"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10709.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10153.mp4", "dataset/clvr/video_validation/video_10710.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10153.mp4", "dataset/clvr/video_validation/video_10711.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11937.mp4", "dataset/clvr/video_validation/video_10712.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 3", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10713.mp4", "dataset/clvr/video_validation/video_10659.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10882.mp4", "dataset/clvr/video_validation/video_10714.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11151.mp4", "dataset/clvr/video_validation/video_10715.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 3", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10080.mp4", "dataset/clvr/video_validation/video_10716.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 1 -- 5", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10717.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10718.mp4", "dataset/clvr/video_validation/video_11075.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) Video 2 -- 1"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11517.mp4", "dataset/clvr/video_validation/video_10719.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 6", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10720.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11630.mp4", "dataset/clvr/video_validation/video_10721.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10722.mp4", "dataset/clvr/video_validation/video_11322.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11690.mp4", "dataset/clvr/video_validation/video_10723.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10879.mp4", "dataset/clvr/video_validation/video_10724.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11683.mp4", "dataset/clvr/video_validation/video_10725.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10726.mp4", "dataset/clvr/video_validation/video_10431.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10727.mp4", "dataset/clvr/video_validation/video_11462.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10728.mp4", "dataset/clvr/video_validation/video_10659.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10729.mp4", "dataset/clvr/video_validation/video_10691.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10730.mp4", "dataset/clvr/video_validation/video_10910.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10731.mp4", "dataset/clvr/video_validation/video_11074.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 5", "E) Video 2 -- 3"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10732.mp4", "dataset/clvr/video_validation/video_11905.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10003.mp4", "dataset/clvr/video_validation/video_10733.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 4", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10734.mp4", "dataset/clvr/video_validation/video_10259.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) Video 2 -- 5"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11412.mp4", "dataset/clvr/video_validation/video_10735.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10736.mp4", "dataset/clvr/video_validation/video_10109.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 4", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10737.mp4", "dataset/clvr/video_validation/video_10316.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 2 -- 3", "D) Video 1 -- 6", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_11626.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10739.mp4", "dataset/clvr/video_validation/video_11354.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11902.mp4", "dataset/clvr/video_validation/video_10740.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11820.mp4", "dataset/clvr/video_validation/video_10741.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10742.mp4", "dataset/clvr/video_validation/video_11841.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10006.mp4", "dataset/clvr/video_validation/video_10743.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11131.mp4", "dataset/clvr/video_validation/video_10744.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 3", "D) Video 2 -- 1", "E) Video 1 -- 2"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11795.mp4", "dataset/clvr/video_validation/video_10745.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 5"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10746.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10747.mp4", "dataset/clvr/video_validation/video_10064.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 6", "C) Video 2 -- 3", "D) Video 1 -- 3", "E) Video 1 -- 2"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10748.mp4", "dataset/clvr/video_validation/video_11231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11751.mp4", "dataset/clvr/video_validation/video_10749.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10750.mp4", "dataset/clvr/video_validation/video_10059.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 1", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10870.mp4", "dataset/clvr/video_validation/video_10751.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10752.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10753.mp4", "dataset/clvr/video_validation/video_10270.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 5", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10892.mp4", "dataset/clvr/video_validation/video_10754.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10755.mp4", "dataset/clvr/video_validation/video_10107.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11855.mp4", "dataset/clvr/video_validation/video_10756.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 5", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10757.mp4", "dataset/clvr/video_validation/video_10431.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10503.mp4", "dataset/clvr/video_validation/video_10758.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11489.mp4", "dataset/clvr/video_validation/video_10759.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 3", "D) Video 1 -- 2", "E) Video 2 -- 5"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10760.mp4", "dataset/clvr/video_validation/video_10258.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11001.mp4", "dataset/clvr/video_validation/video_10761.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10762.mp4", "dataset/clvr/video_validation/video_11807.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 6", "C) Video 1 -- 3", "D) Video 2 -- 3", "E) Video 1 -- 5"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10763.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10764.mp4", "dataset/clvr/video_validation/video_11797.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 1", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10661.mp4", "dataset/clvr/video_validation/video_10765.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10385.mp4", "dataset/clvr/video_validation/video_10766.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 6", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 2 -- 7"], "answer": "D) Video 2 -- 4", "videos": ["dataset/clvr/video_validation/video_10767.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 3", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10768.mp4", "dataset/clvr/video_validation/video_11131.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 2", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11524.mp4", "dataset/clvr/video_validation/video_10769.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10770.mp4", "dataset/clvr/video_validation/video_11409.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10771.mp4", "dataset/clvr/video_validation/video_11911.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 3", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10772.mp4", "dataset/clvr/video_validation/video_11119.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 2", "E) Video 2 -- 5"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10773.mp4", "dataset/clvr/video_validation/video_10113.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 5", "C) Video 1 -- 1", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10774.mp4", "dataset/clvr/video_validation/video_11867.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11646.mp4", "dataset/clvr/video_validation/video_10775.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10776.mp4", "dataset/clvr/video_validation/video_10078.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 1 -- 5", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10777.mp4", "dataset/clvr/video_validation/video_11642.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10019.mp4", "dataset/clvr/video_validation/video_10778.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10779.mp4", "dataset/clvr/video_validation/video_10791.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 3", "D) Video 2 -- 4", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10780.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 1 -- 1", "E) Video 2 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10781.mp4", "dataset/clvr/video_validation/video_10722.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 1", "E) Video 2 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10782.mp4", "dataset/clvr/video_validation/video_11553.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 6", "D) Video 1 -- 3", "E) Video 2 -- 3"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10783.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10815.mp4", "dataset/clvr/video_validation/video_10784.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10878.mp4", "dataset/clvr/video_validation/video_10785.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10786.mp4", "dataset/clvr/video_validation/video_10083.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10787.mp4", "dataset/clvr/video_validation/video_10535.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10788.mp4", "dataset/clvr/video_validation/video_11901.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 5"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11804.mp4", "dataset/clvr/video_validation/video_10789.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 5", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11185.mp4", "dataset/clvr/video_validation/video_10790.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 5", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10791.mp4", "dataset/clvr/video_validation/video_11841.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10621.mp4", "dataset/clvr/video_validation/video_10792.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 5", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10835.mp4", "dataset/clvr/video_validation/video_10793.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10259.mp4", "dataset/clvr/video_validation/video_10794.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11865.mp4", "dataset/clvr/video_validation/video_10795.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 1 -- 5"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10796.mp4", "dataset/clvr/video_validation/video_11254.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10797.mp4", "dataset/clvr/video_validation/video_10921.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10798.mp4", "dataset/clvr/video_validation/video_11139.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11954.mp4", "dataset/clvr/video_validation/video_10799.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11695.mp4", "dataset/clvr/video_validation/video_10800.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) Video 1 -- 6", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10801.mp4", "dataset/clvr/video_validation/video_11723.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 1", "E) Video 2 -- 4"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10802.mp4", "dataset/clvr/video_validation/video_11648.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 5", "E) Video 2 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10803.mp4", "dataset/clvr/video_validation/video_10399.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10804.mp4", "dataset/clvr/video_validation/video_11642.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) Video 1 -- 2"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11847.mp4", "dataset/clvr/video_validation/video_10805.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10806.mp4", "dataset/clvr/video_validation/video_11877.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 3", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10548.mp4", "dataset/clvr/video_validation/video_10807.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10808.mp4", "dataset/clvr/video_validation/video_10842.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11011.mp4", "dataset/clvr/video_validation/video_10809.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10810.mp4", "dataset/clvr/video_validation/video_10763.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10113.mp4", "dataset/clvr/video_validation/video_10811.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 3", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11466.mp4", "dataset/clvr/video_validation/video_10812.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10813.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10080.mp4", "dataset/clvr/video_validation/video_10814.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) Video 1 -- 4"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11607.mp4", "dataset/clvr/video_validation/video_10815.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11076.mp4", "dataset/clvr/video_validation/video_10816.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 5"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10817.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11688.mp4", "dataset/clvr/video_validation/video_10818.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 4"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11718.mp4", "dataset/clvr/video_validation/video_10819.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11619.mp4", "dataset/clvr/video_validation/video_10820.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 2", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11377.mp4", "dataset/clvr/video_validation/video_10821.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10822.mp4", "dataset/clvr/video_validation/video_11163.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10823.mp4", "dataset/clvr/video_validation/video_11517.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 2"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10228.mp4", "dataset/clvr/video_validation/video_10824.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 3", "D) Video 2 -- 5", "E) Video 1 -- 4"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10825.mp4", "dataset/clvr/video_validation/video_11231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10826.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 2 -- 4"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10827.mp4", "dataset/clvr/video_validation/video_11943.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 5"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11579.mp4", "dataset/clvr/video_validation/video_10828.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 2 -- 1"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10829.mp4", "dataset/clvr/video_validation/video_11223.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 4", "C) Video 1 -- 3", "D) Video 2 -- 3", "E) Video 1 -- 5"], "answer": "D) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10830.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10831.mp4", "dataset/clvr/video_validation/video_11878.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 4", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10832.mp4", "dataset/clvr/video_validation/video_11700.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 1 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10833.mp4", "dataset/clvr/video_validation/video_10702.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 6", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 1 -- 2", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10834.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 5", "D) Video 1 -- 3", "E) Video 2 -- 3"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10835.mp4", "dataset/clvr/video_validation/video_10921.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10836.mp4", "dataset/clvr/video_validation/video_11013.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 3"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10837.mp4", "dataset/clvr/video_validation/video_10799.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10838.mp4", "dataset/clvr/video_validation/video_10634.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10839.mp4", "dataset/clvr/video_validation/video_11817.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 6", "E) Video 2 -- 7"], "answer": "A) Video 2 -- 4", "videos": ["dataset/clvr/video_validation/video_10840.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10841.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10842.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 2"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11995.mp4", "dataset/clvr/video_validation/video_10843.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 3", "D) Video 2 -- 5", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10844.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 3"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10845.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10351.mp4", "dataset/clvr/video_validation/video_10846.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10847.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11613.mp4", "dataset/clvr/video_validation/video_10848.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 4", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10849.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 3", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "C) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10110.mp4", "dataset/clvr/video_validation/video_10850.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10851.mp4", "dataset/clvr/video_validation/video_11462.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10852.mp4", "dataset/clvr/video_validation/video_10121.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 5", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10467.mp4", "dataset/clvr/video_validation/video_10853.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 1 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11163.mp4", "dataset/clvr/video_validation/video_10854.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 6", "C) Video 2 -- 5", "D) Video 2 -- 3", "E) Video 1 -- 3"], "answer": "E) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10855.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10856.mp4", "dataset/clvr/video_validation/video_11517.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10691.mp4", "dataset/clvr/video_validation/video_10857.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 5"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10858.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 3", "C) Video 1 -- 5", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10859.mp4", "dataset/clvr/video_validation/video_11839.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 5", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10860.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 2", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11519.mp4", "dataset/clvr/video_validation/video_10861.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 4", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 7"], "answer": "B) Video 1 -- 4", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10862.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11059.mp4", "dataset/clvr/video_validation/video_10863.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10150.mp4", "dataset/clvr/video_validation/video_10864.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10865.mp4", "dataset/clvr/video_validation/video_11505.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10866.mp4", "dataset/clvr/video_validation/video_10528.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10867.mp4", "dataset/clvr/video_validation/video_10013.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) Video 2 -- 5"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10868.mp4", "dataset/clvr/video_validation/video_11903.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10869.mp4", "dataset/clvr/video_validation/video_11959.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10388.mp4", "dataset/clvr/video_validation/video_10870.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10871.mp4", "dataset/clvr/video_validation/video_10332.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 2 -- 4"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10260.mp4", "dataset/clvr/video_validation/video_10872.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10733.mp4", "dataset/clvr/video_validation/video_10873.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) Video 1 -- 3"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11174.mp4", "dataset/clvr/video_validation/video_10874.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10875.mp4", "dataset/clvr/video_validation/video_11322.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 2 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10876.mp4", "dataset/clvr/video_validation/video_11983.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 2 -- 1", "E) Video 2 -- 3"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11475.mp4", "dataset/clvr/video_validation/video_10877.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 1 -- 1", "E) Video 2 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11789.mp4", "dataset/clvr/video_validation/video_10878.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10879.mp4", "dataset/clvr/video_validation/video_11534.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10880.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10366.mp4", "dataset/clvr/video_validation/video_10881.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) Video 2 -- 3", "D) Video 1 -- 6", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10882.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) Video 2 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10883.mp4", "dataset/clvr/video_validation/video_10200.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10884.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 1 -- 3", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10926.mp4", "dataset/clvr/video_validation/video_10885.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 5", "E) Video 1 -- 1"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10170.mp4", "dataset/clvr/video_validation/video_10886.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) Video 1 -- 2", "E) Video 2 -- 3"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10887.mp4", "dataset/clvr/video_validation/video_11898.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 4", "C) Video 2 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10888.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10889.mp4", "dataset/clvr/video_validation/video_11552.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 4", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10890.mp4", "dataset/clvr/video_validation/video_11751.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 2", "C) Video 1 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10891.mp4", "dataset/clvr/video_validation/video_10699.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10892.mp4", "dataset/clvr/video_validation/video_10809.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 5", "E) Video 2 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10627.mp4", "dataset/clvr/video_validation/video_10893.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 5", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 3"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11850.mp4", "dataset/clvr/video_validation/video_10894.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10895.mp4", "dataset/clvr/video_validation/video_11473.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) Video 2 -- 5", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10896.mp4", "dataset/clvr/video_validation/video_10486.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 4", "C) Video 1 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11690.mp4", "dataset/clvr/video_validation/video_10897.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 1 -- 5"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10898.mp4", "dataset/clvr/video_validation/video_11231.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10899.mp4", "dataset/clvr/video_validation/video_11515.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 4", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10900.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11441.mp4", "dataset/clvr/video_validation/video_10901.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10902.mp4", "dataset/clvr/video_validation/video_11044.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 2", "E) Video 2 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10837.mp4", "dataset/clvr/video_validation/video_10903.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10536.mp4", "dataset/clvr/video_validation/video_10904.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10815.mp4", "dataset/clvr/video_validation/video_10905.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 3", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10295.mp4", "dataset/clvr/video_validation/video_10906.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10907.mp4", "dataset/clvr/video_validation/video_10348.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10908.mp4", "dataset/clvr/video_validation/video_11072.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10909.mp4", "dataset/clvr/video_validation/video_11432.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11618.mp4", "dataset/clvr/video_validation/video_10910.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 3", "D) Video 1 -- 4", "E) Video 1 -- 2"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10911.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10912.mp4", "dataset/clvr/video_validation/video_10123.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 1"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11033.mp4", "dataset/clvr/video_validation/video_10913.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 5", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11981.mp4", "dataset/clvr/video_validation/video_10914.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 2 -- 5", "E) Video 1 -- 3"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11054.mp4", "dataset/clvr/video_validation/video_10915.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10605.mp4", "dataset/clvr/video_validation/video_10916.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10737.mp4", "dataset/clvr/video_validation/video_10917.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 3", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11330.mp4", "dataset/clvr/video_validation/video_10918.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10729.mp4", "dataset/clvr/video_validation/video_10919.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 3", "C) Video 2 -- 2", "D) Video 1 -- 5", "E) Video 2 -- 3"], "answer": "E) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10920.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10921.mp4", "dataset/clvr/video_validation/video_11170.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10922.mp4", "dataset/clvr/video_validation/video_11066.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 3"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11582.mp4", "dataset/clvr/video_validation/video_10923.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "B) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10924.mp4", "dataset/clvr/video_validation/video_11198.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10925.mp4", "dataset/clvr/video_validation/video_10696.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 4", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11905.mp4", "dataset/clvr/video_validation/video_10926.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) Video 2 -- 5"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10927.mp4", "dataset/clvr/video_validation/video_10955.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 2", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11894.mp4", "dataset/clvr/video_validation/video_10928.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10108.mp4", "dataset/clvr/video_validation/video_10929.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 4", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10293.mp4", "dataset/clvr/video_validation/video_10930.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 1 -- 1", "C) Video 1 -- 3", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10054.mp4", "dataset/clvr/video_validation/video_10931.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10932.mp4", "dataset/clvr/video_validation/video_11898.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10933.mp4", "dataset/clvr/video_validation/video_10344.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10561.mp4", "dataset/clvr/video_validation/video_10934.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 2 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10811.mp4", "dataset/clvr/video_validation/video_10935.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) Video 2 -- 3", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10217.mp4", "dataset/clvr/video_validation/video_10936.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 4"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10937.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 6", "E) Video 2 -- 3"], "answer": "B) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10938.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 3", "D) Video 2 -- 5", "E) Video 1 -- 2"], "answer": "A) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11938.mp4", "dataset/clvr/video_validation/video_10939.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 5", "D) Video 2 -- 3", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10940.mp4", "dataset/clvr/video_validation/video_11508.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 3", "D) Video 2 -- 1", "E) Video 1 -- 4"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11498.mp4", "dataset/clvr/video_validation/video_10941.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10942.mp4", "dataset/clvr/video_validation/video_11189.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 1", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11214.mp4", "dataset/clvr/video_validation/video_10943.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) Video 2 -- 5"], "answer": "B) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10944.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 2 -- 1", "D) Video 1 -- 4", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10192.mp4", "dataset/clvr/video_validation/video_10945.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 1 -- 2", "D) Video 2 -- 2", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10945.mp4", "dataset/clvr/video_validation/video_10946.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 1 -- 1"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10947.mp4", "dataset/clvr/video_validation/video_10933.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 2 -- 2", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 5"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10948.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 1 -- 4"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10949.mp4", "dataset/clvr/video_validation/video_10126.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 2", "D) Video 1 -- 3", "E) Video 2 -- 4"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10950.mp4", "dataset/clvr/video_validation/video_10998.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11088.mp4", "dataset/clvr/video_validation/video_10951.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 1 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10952.mp4", "dataset/clvr/video_validation/video_10469.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 2", "E) Video 2 -- 4"], "answer": "A) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10953.mp4", "dataset/clvr/video_validation/video_11961.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10744.mp4", "dataset/clvr/video_validation/video_10954.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 1 -- 2", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10180.mp4", "dataset/clvr/video_validation/video_10955.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 5", "C) Video 1 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "A) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10956.mp4", "dataset/clvr/video_validation/video_11912.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 2", "C) Video 2 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 1"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10091.mp4", "dataset/clvr/video_validation/video_10957.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 1 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10958.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 3"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10959.mp4", "dataset/clvr/video_validation/video_11724.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 5", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 2"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10380.mp4", "dataset/clvr/video_validation/video_10960.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 3", "C) Video 1 -- 6", "D) Video 1 -- 3", "E) Video 2 -- 5"], "answer": "B) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10961.mp4", "dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 1", "D) Video 1 -- 2", "E) Video 2 -- 5"], "answer": "D) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10738.mp4", "dataset/clvr/video_validation/video_10962.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10324.mp4", "dataset/clvr/video_validation/video_10963.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 1 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 1", "E) Video 2 -- 5"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11596.mp4", "dataset/clvr/video_validation/video_10964.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 1", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11961.mp4", "dataset/clvr/video_validation/video_10965.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 3", "E) Video 1 -- 4"], "answer": "D) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10966.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) Video 2 -- 2", "E) Video 1 -- 1"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11642.mp4", "dataset/clvr/video_validation/video_10967.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 4", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10968.mp4", "dataset/clvr/video_validation/video_10839.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 2 -- 3", "E) Video 1 -- 1"], "answer": "E) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11130.mp4", "dataset/clvr/video_validation/video_10969.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 5", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 4"], "answer": "D) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11995.mp4", "dataset/clvr/video_validation/video_10970.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 3", "C) Video 1 -- 1", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10971.mp4", "dataset/clvr/video_validation/video_11248.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 6", "C) Video 1 -- 3", "D) Video 2 -- 3", "E) Video 2 -- 5"], "answer": "D) Video 2 -- 3", "videos": ["dataset/clvr/video_validation/video_10972.mp4", "dataset/clvr/video_validation/video_10738.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) Video 2 -- 1", "C) Video 1 -- 2", "D) Video 1 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10973.mp4", "dataset/clvr/video_validation/video_11811.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 3", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 1 -- 4"], "answer": "B) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11411.mp4", "dataset/clvr/video_validation/video_10974.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 3", "C) Video 2 -- 2", "D) Video 1 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_10815.mp4", "dataset/clvr/video_validation/video_10975.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 4", "C) Video 2 -- 5", "D) Video 1 -- 3", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 4", "videos": ["dataset/clvr/video_validation/video_10976.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 4", "D) Video 2 -- 5", "E) Video 1 -- 2"], "answer": "E) Video 1 -- 2", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10977.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 4", "C) Video 2 -- 3", "D) Video 1 -- 1", "E) Video 2 -- 1"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10978.mp4", "dataset/clvr/video_validation/video_10480.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 5", "D) Video 2 -- 4", "E) Video 1 -- 1"], "answer": "B) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10979.mp4", "dataset/clvr/video_validation/video_10816.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 4", "D) Video 2 -- 2", "E) Video 2 -- 1"], "answer": "D) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_11030.mp4", "dataset/clvr/video_validation/video_10980.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 1", "B) Video 2 -- 1", "C) Video 1 -- 3", "D) Video 2 -- 2", "E) most and second most have the same number of collisions -- 0"], "answer": "A) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10955.mp4", "dataset/clvr/video_validation/video_10981.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 1 -- 2"], "answer": "D) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11957.mp4", "dataset/clvr/video_validation/video_10982.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_11054.mp4", "dataset/clvr/video_validation/video_10983.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 2", "C) Video 1 -- 2", "D) Video 2 -- 5", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10984.mp4", "dataset/clvr/video_validation/video_10037.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 2", "C) Video 1 -- 1", "D) Video 2 -- 4", "E) most and second most have the same number of collisions -- 0"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10985.mp4", "dataset/clvr/video_validation/video_10180.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 4", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 1 -- 5", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11231.mp4", "dataset/clvr/video_validation/video_10986.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 3", "B) Video 2 -- 3", "C) most and second most have the same number of collisions -- 0", "D) Video 2 -- 5", "E) Video 1 -- 2"], "answer": "A) Video 1 -- 3", "videos": ["dataset/clvr/video_validation/video_11912.mp4", "dataset/clvr/video_validation/video_10987.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 2 -- 5", "B) Video 1 -- 1", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 3", "E) Video 2 -- 2"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11315.mp4", "dataset/clvr/video_validation/video_10988.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 4", "B) Video 2 -- 5", "C) Video 1 -- 2", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "E) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_11020.mp4", "dataset/clvr/video_validation/video_10989.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 2 -- 4", "C) Video 1 -- 1", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 1"], "answer": "E) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10990.mp4", "dataset/clvr/video_validation/video_11735.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 2", "C) Video 2 -- 1", "D) Video 1 -- 1", "E) Video 2 -- 4"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_11794.mp4", "dataset/clvr/video_validation/video_10991.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 5", "B) Video 2 -- 2", "C) most and second most have the same number of collisions -- 0", "D) Video 1 -- 1", "E) Video 2 -- 3"], "answer": "C) most and second most have the same number of collisions -- 0", "videos": ["dataset/clvr/video_validation/video_10746.mp4", "dataset/clvr/video_validation/video_10992.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 1", "D) Video 1 -- 4", "E) Video 2 -- 3"], "answer": "C) Video 1 -- 1", "videos": ["dataset/clvr/video_validation/video_10486.mp4", "dataset/clvr/video_validation/video_10993.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) most and second most have the same number of collisions -- 0", "C) Video 1 -- 3", "D) Video 2 -- 4", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10994.mp4", "dataset/clvr/video_validation/video_10182.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 3", "C) Video 2 -- 4", "D) most and second most have the same number of collisions -- 0", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10995.mp4", "dataset/clvr/video_validation/video_10450.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 2", "C) Video 1 -- 4", "D) Video 2 -- 5", "E) Video 1 -- 2"], "answer": "B) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10895.mp4", "dataset/clvr/video_validation/video_10996.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 2 -- 1", "C) Video 1 -- 4", "D) Video 1 -- 2", "E) Video 2 -- 2"], "answer": "E) Video 2 -- 2", "videos": ["dataset/clvr/video_validation/video_10094.mp4", "dataset/clvr/video_validation/video_10997.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) most and second most have the same number of collisions -- 0", "B) Video 1 -- 1", "C) Video 2 -- 1", "D) Video 2 -- 4", "E) Video 1 -- 2"], "answer": "C) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10433.mp4", "dataset/clvr/video_validation/video_10998.mp4"], "video_ranges": []}
{"category": "Comparative_Reasoning", "task": "Clvr_Numerical_Comparison", "question": "Compare the total number of collisions across the 2 videos. Which video has the most collisions, and what is the numerical difference in collisions between this video and the video with the second most collisions?\nSelect the correct option below.", "options": ["A) Video 1 -- 2", "B) Video 1 -- 1", "C) Video 2 -- 4", "D) Video 2 -- 1", "E) most and second most have the same number of collisions -- 0"], "answer": "D) Video 2 -- 1", "videos": ["dataset/clvr/video_validation/video_10999.mp4", "dataset/clvr/video_validation/video_10273.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 0", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 5", "D) 0"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 0", "C) 3", "D) 5"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'monitor' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 0", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'thermostat' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 1", "C) 6", "D) 2"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 5", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 0", "D) 5"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 2", "C) 5", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 5", "B) 4", "C) 7", "D) 6"], "answer": "B) 4", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laundry machine' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 6", "B) 2", "C) 3", "D) 5"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laundry machine' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 5", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 0", "B) 6", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 2", "C) 5", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 4", "B) 2", "C) 0", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 4", "C) 1", "D) 6"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'decorative plant' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fan' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 6", "B) 5", "C) 2", "D) 3"], "answer": "B) 5", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fridge' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'worktop' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 9", "B) 11", "C) 7", "D) 8"], "answer": "D) 8", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 5"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 0", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stove' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 5", "B) 0", "C) 3", "D) 6"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 5", "C) 3", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'monitor' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 5", "B) 1", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 3", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 1", "B) 5", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower floor' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 1", "B) 5", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'hearth' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table' are present in this scene?", "options": ["A) 3", "B) 0", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 8", "B) 5", "C) 4", "D) 3"], "answer": "B) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route50/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route50/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route50/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clock' are present in this scene?", "options": ["A) 4", "B) 1", "C) 2", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dining table' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sliding glass door' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 5"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bulletin board' are present in this scene?", "options": ["A) 2", "B) 0", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower glass' are present in this scene?", "options": ["A) 3", "B) 0", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 6", "B) 2", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'side table' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 3", "B) 0", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 6", "B) 2", "C) 3", "D) 0"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 0", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 3", "B) 0", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route63/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route63/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route63/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 3", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower floor' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 5", "B) 4", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 5", "B) 2", "C) 3", "D) 1"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen lower cabinet' are present in this scene?", "options": ["A) 1", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 7", "B) 6", "C) 4", "D) 5"], "answer": "D) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route67/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route67/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route67/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clock' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 5", "B) 7", "C) 6", "D) 3"], "answer": "A) 5", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'plant' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 0", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wood' are present in this scene?", "options": ["A) 2", "B) 0", "C) 3", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 6", "B) 1", "C) 3", "D) 4"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'staircase handrail' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 2", "B) 3", "C) 5", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'computer chair' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 2", "B) 4", "C) 3", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 4", "D) 1"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 8", "B) 12", "C) 6", "D) 9"], "answer": "D) 9", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror frame' are present in this scene?", "options": ["A) 5", "B) 1", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 4", "B) 0", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'rack' are present in this scene?", "options": ["A) 3", "B) 0", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 2", "B) 5", "C) 3", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 3", "B) 5", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 5", "B) 2", "C) 4", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 2", "B) 5", "C) 1", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furnace' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 3", "B) 4", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom cabinet' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 6"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 0", "D) 1"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'heater' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 3", "B) 2", "C) 4", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sliding glass door' are present in this scene?", "options": ["A) 1", "B) 5", "C) 6", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 4", "B) 0", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route42/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route42/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route42/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route41/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route41/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route41/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 7", "B) 5", "C) 8", "D) 6"], "answer": "D) 6", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'jacket' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 2", "B) 4", "C) 3", "D) 5"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furnace' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 5", "B) 0", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 7", "B) 2", "C) 5", "D) 4"], "answer": "C) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen shelf' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'window' are present in this scene?", "options": ["A) 0", "B) 5", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 4", "B) 2", "C) 0", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 3", "C) 5", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'window' are present in this scene?", "options": ["A) 3", "B) 6", "C) 2", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furnace' are present in this scene?", "options": ["A) 0", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route46/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route46/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route46/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'printer' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route37/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route37/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route37/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 4", "B) 0", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 2", "B) 5", "C) 3", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'pillar' are present in this scene?", "options": ["A) 3", "B) 2", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'worktop' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 4", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 5"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 5", "B) 2", "C) 4", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sheet' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 3", "B) 2", "C) 5", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 7", "C) 2", "D) 5"], "answer": "D) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'ceiling fixture' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 4", "B) 1", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route48/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route48/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route48/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 1"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 6", "B) 0", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 0", "B) 1", "C) 5", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'recessed wall' are present in this scene?", "options": ["A) 5", "B) 0", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'piano' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelving' are present in this scene?", "options": ["A) 4", "B) 0", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'pouffe' are present in this scene?", "options": ["A) 0", "B) 1", "C) 4", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 5", "B) 3", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'island' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 0", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'oven and stove' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route72/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route72/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route72/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 8", "B) 7", "C) 6", "D) 5"], "answer": "B) 7", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 3", "B) 0", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 1", "B) 4", "C) 6", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 0", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 3", "B) 4", "C) 5", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv stand' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sliding glass door' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 1", "B) 2", "C) 5", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wood' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table cloth' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower floor' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stair handle' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'oven and stove' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'oven and stove' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chest drawer' are present in this scene?", "options": ["A) 5", "B) 2", "C) 3", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'oven and stove' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 5"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 5", "B) 4", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 2", "C) 5", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 0", "B) 1", "C) 4", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chest drawer' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'picture' are present in this scene?", "options": ["A) 5", "B) 4", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sideboard' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 5", "B) 3", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 8", "B) 9", "C) 10", "D) 7"], "answer": "B) 9", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'window' are present in this scene?", "options": ["A) 4", "B) 2", "C) 0", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 2", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'l-shaped sofa' are present in this scene?", "options": ["A) 3", "B) 0", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 2", "B) 5", "C) 3", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 6", "B) 0", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelf' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 7", "B) 8", "C) 9", "D) 6"], "answer": "D) 6", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'arch' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 6", "B) 1", "C) 3", "D) 5"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'boiler' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 6", "B) 2", "C) 5", "D) 8"], "answer": "C) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 4", "B) 0", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 5", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen shelf' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower cabin' are present in this scene?", "options": ["A) 2", "B) 0", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 5", "B) 3", "C) 7", "D) 4"], "answer": "A) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 4", "B) 0", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'calendar' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 5", "B) 4", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route85/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route85/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route85/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 5", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sliding glass door' are present in this scene?", "options": ["A) 3", "B) 0", "C) 2", "D) 4"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower floor' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table cloth' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'recessed wall' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath sink' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sliding glass door' are present in this scene?", "options": ["A) 3", "B) 4", "C) 6", "D) 5"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wall cabinet' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'statue' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink cabinet' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bedframe' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 5", "B) 8", "C) 4", "D) 6"], "answer": "D) 6", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 0", "C) 3", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk chair' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stair' are present in this scene?", "options": ["A) 0", "B) 4", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 4", "B) 5", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath wall' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furniture' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 6", "C) 1", "D) 4"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 2", "B) 0", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes dryer' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 0", "B) 5", "C) 3", "D) 1"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower door frame' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'monitor' are present in this scene?", "options": ["A) 5", "B) 4", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'window' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'worktop' are present in this scene?", "options": ["A) 4", "B) 0", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet paper' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 2", "B) 6", "C) 7", "D) 5"], "answer": "D) 5", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fruit bowl' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 1", "B) 6", "C) 2", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelving' are present in this scene?", "options": ["A) 3", "B) 5", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 5", "B) 3", "C) 0", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route89/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route89/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route89/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 0"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 1", "B) 6", "C) 0", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furnace' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 1", "B) 2", "C) 5", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 1", "C) 5", "D) 4"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 3", "C) 5", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'oven' are present in this scene?", "options": ["A) 3", "B) 0", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washbasin counter' are present in this scene?", "options": ["A) 2", "B) 4", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 2"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'pillar' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 5", "B) 2", "C) 0", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom cabinet' are present in this scene?", "options": ["A) 2", "B) 3", "C) 5", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wood' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 6"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dining table' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dining table' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 3", "C) 5", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes rack' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen wall' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 4", "B) 5", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route66/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route66/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route66/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath wall' are present in this scene?", "options": ["A) 5", "B) 4", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa chair' are present in this scene?", "options": ["A) 3", "B) 0", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clock' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes dryer' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'oven and stove' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'ceiling fixture' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wine rack' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route53/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route53/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'pillar' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wall tv' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laptop' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'compound wall' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 4", "B) 2", "C) 0", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stair handle' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'cooker' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 4", "B) 0", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen utensil' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 2"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stove' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 5", "B) 6", "C) 7", "D) 8"], "answer": "B) 6", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 2", "B) 5", "C) 3", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes rack' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 2", "B) 0", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelving' are present in this scene?", "options": ["A) 2", "B) 4", "C) 3", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clock' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washbasin' are present in this scene?", "options": ["A) 3", "B) 4", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 5", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'office chair' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower cabin' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 5", "B) 2", "C) 0", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen lower cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 2", "B) 1", "C) 5", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 5", "B) 4", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 0", "B) 1", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route42/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route42/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route42/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 5", "B) 1", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chest drawer' are present in this scene?", "options": ["A) 2", "B) 5", "C) 0", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelving' are present in this scene?", "options": ["A) 0", "B) 1", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 3", "B) 5", "C) 4", "D) 2"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet mirror wall' are present in this scene?", "options": ["A) 6", "B) 3", "C) 2", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'plant' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 5", "B) 2", "C) 3", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'thermostat' are present in this scene?", "options": ["A) 2", "B) 4", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 4", "B) 1", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 4", "C) 5", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'monitor' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes rack' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 4", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wall cabinet' are present in this scene?", "options": ["A) 2", "B) 5", "C) 1", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furnace' are present in this scene?", "options": ["A) 3", "B) 4", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 6", "B) 3", "C) 4", "D) 5"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fan' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 6", "B) 4", "C) 1", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror frame' are present in this scene?", "options": ["A) 2", "B) 5", "C) 3", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 0", "B) 4", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 4", "D) 0"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'island' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 5", "B) 4", "C) 1", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 12", "B) 7", "C) 9", "D) 6"], "answer": "C) 9", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'l-shaped sofa' are present in this scene?", "options": ["A) 0", "B) 1", "C) 4", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 5", "B) 2", "C) 1", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 6", "B) 2", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'container' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet door' are present in this scene?", "options": ["A) 2", "B) 5", "C) 0", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 1", "B) 4", "C) 6", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wood' are present in this scene?", "options": ["A) 2", "B) 4", "C) 5", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'hanger' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 4"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sliding glass door' are present in this scene?", "options": ["A) 5", "B) 1", "C) 3", "D) 6"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 3", "B) 0", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 0", "B) 4", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dresser' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 6"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath wall' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 5", "B) 2", "C) 3", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen wall' are present in this scene?", "options": ["A) 1", "B) 6", "C) 2", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'window' are present in this scene?", "options": ["A) 2", "B) 5", "C) 0", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 3", "C) 6", "D) 5"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelf' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 6", "B) 7", "C) 8", "D) 4"], "answer": "A) 6", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 2", "B) 4", "C) 5", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 6", "D) 0"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 2", "C) 1", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'file cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 6", "C) 2", "D) 5"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'heater' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 5", "B) 2", "C) 3", "D) 4"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 0", "C) 2", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 5", "B) 1", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 6", "B) 3", "C) 2", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'flag' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'basket' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath towel' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 6", "B) 3", "C) 2", "D) 5"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 1", "B) 4", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'lamp' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 2", "B) 1", "C) 5", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route72/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route72/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route72/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv stand' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 5", "B) 2", "C) 0", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dresser' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 4", "B) 3", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 3", "C) 5", "D) 1"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 4", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'monitor' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stair wall' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 2", "C) 6", "D) 4"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'ice maker' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 3", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 5", "B) 8", "C) 7", "D) 10"], "answer": "B) 8", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wash cabinet' are present in this scene?", "options": ["A) 3", "B) 5", "C) 1", "D) 6"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route48/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route48/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route48/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink cabinet' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 7", "B) 4", "C) 1", "D) 3"], "answer": "B) 4", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 4", "C) 5", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower glass' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen shelf' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 3", "B) 0", "C) 6", "D) 2"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 4", "B) 0", "C) 6", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes dryer' are present in this scene?", "options": ["A) 3", "B) 4", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 6", "C) 0", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 5", "B) 4", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'recessed wall' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'staircase handrail' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 4", "B) 5", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 1", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'worktop' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 3", "B) 2", "C) 5", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 6"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'high shelf' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 2", "B) 0", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 1", "C) 6", "D) 5"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laptop' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 3", "B) 2", "C) 4", "D) 5"], "answer": "D) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'ventilation hood' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 5", "C) 6", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 1", "B) 4", "C) 5", "D) 3"], "answer": "B) 4", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet area for hanging clothes' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route53/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route53/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet door' are present in this scene?", "options": ["A) 1", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 6", "B) 5", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laundry machine' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'computer desk' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laundry machine' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stair' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route50/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route50/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route50/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wood' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chest' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 3", "C) 4", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 3", "C) 0", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 4", "B) 6", "C) 3", "D) 1"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 9", "B) 7", "C) 10", "D) 4"], "answer": "B) 7", "videos": ["dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet door' are present in this scene?", "options": ["A) 0", "B) 1", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 5", "B) 3", "C) 4", "D) 1"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 6", "C) 2", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa chair' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 5"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 2"], "answer": "A) 4", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wash cabinet' are present in this scene?", "options": ["A) 3", "B) 1", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'picture' are present in this scene?", "options": ["A) 4", "B) 8", "C) 7", "D) 5"], "answer": "D) 5", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 4", "B) 2", "C) 5", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 3", "B) 2", "C) 4", "D) 0"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 5", "B) 1", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 2", "B) 3", "C) 6", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'lampshade' are present in this scene?", "options": ["A) 5", "B) 4", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 8", "B) 6", "C) 11", "D) 10"], "answer": "A) 8", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 1", "B) 5", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fur carpet' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 10", "B) 8", "C) 11", "D) 6"], "answer": "B) 8", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 6", "B) 5", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laundry machine' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dining table' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wall tv' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 1", "B) 0", "C) 6", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dining table' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 5", "B) 4", "C) 3", "D) 0"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 6", "B) 3", "C) 5", "D) 2"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route48/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route48/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route48/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 1", "B) 5", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 0", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'recessed wall' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dining table' are present in this scene?", "options": ["A) 5", "B) 2", "C) 4", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stovetop' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'computer desk' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'exercise bike' are present in this scene?", "options": ["A) 1", "B) 4", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 1", "B) 0", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wall cabinet' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen wall' are present in this scene?", "options": ["A) 2", "B) 3", "C) 5", "D) 1"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 8", "B) 5", "C) 2", "D) 4"], "answer": "B) 5", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 1", "B) 2", "C) 5", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sliding glass door' are present in this scene?", "options": ["A) 6", "B) 3", "C) 5", "D) 0"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 5", "B) 4", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 2", "B) 8", "C) 3", "D) 5"], "answer": "D) 5", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'coaster' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 1", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 5", "B) 2", "C) 3", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 4", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 1", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clock' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 1", "B) 4", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 4", "B) 1", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route48/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route48/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route48/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'window' are present in this scene?", "options": ["A) 2", "B) 3", "C) 5", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower door frame' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 3", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 6", "C) 4", "D) 2"], "answer": "C) 4", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 4", "B) 5", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom glass' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 4", "B) 1", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 1", "B) 0", "C) 5", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dining table' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dishwasher' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 5", "C) 6", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet door' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 3", "B) 4", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table' are present in this scene?", "options": ["A) 1", "B) 2", "C) 5", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 6", "D) 0"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink' are present in this scene?", "options": ["A) 2", "B) 0", "C) 4", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dishwasher' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 1", "B) 5", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'counter' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chest drawer' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 5", "B) 6", "C) 8", "D) 7"], "answer": "A) 5", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 2", "C) 0", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 0", "B) 2", "C) 5", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 2", "B) 0", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 1", "B) 5", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower cabin' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 4", "B) 5", "C) 8", "D) 3"], "answer": "B) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fume cupboard' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'recessed wall' are present in this scene?", "options": ["A) 5", "B) 1", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 5", "B) 2", "C) 1", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen wall' are present in this scene?", "options": ["A) 5", "B) 6", "C) 3", "D) 4"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 2", "C) 5", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'calendar' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dining table' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 2"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clock' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'podium' are present in this scene?", "options": ["A) 0", "B) 3", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 3", "B) 0", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laptop' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom cabinet' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laptop' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wash cabinet' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet door' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelf' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'flag' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'heater' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 3", "B) 1", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'file cabinet' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'monitor' are present in this scene?", "options": ["A) 2", "B) 0", "C) 4", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'computer chair' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath wall' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 4", "B) 1", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 3", "B) 2", "C) 5", "D) 7"], "answer": "C) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 1", "B) 4", "C) 0", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dresser' are present in this scene?", "options": ["A) 3", "B) 6", "C) 4", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 5", "B) 2", "C) 1", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route84/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route84/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route84/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower soap shelf' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mat' are present in this scene?", "options": ["A) 2", "B) 5", "C) 0", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 0", "B) 3", "C) 4", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 6", "C) 0", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'lampshade' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sliding glass door' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'container' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 10", "B) 8", "C) 4", "D) 7"], "answer": "D) 7", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sliding glass door' are present in this scene?", "options": ["A) 0", "B) 3", "C) 6", "D) 2"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chest drawer' are present in this scene?", "options": ["A) 5", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 0", "B) 4", "C) 3", "D) 6"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 2", "C) 5", "D) 6"], "answer": "A) 4", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 5", "B) 1", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 3", "B) 4", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 3", "C) 5", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 5", "B) 4", "C) 3", "D) 6"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 5", "B) 4", "C) 1", "D) 6"], "answer": "B) 4", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route80/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route80/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route80/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 1", "C) 3", "D) 0"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 9", "B) 6", "C) 5", "D) 8"], "answer": "D) 8", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 8", "B) 3", "C) 5", "D) 6"], "answer": "D) 6", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stove' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 3", "B) 5", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 5", "B) 0", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom glass' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 4", "C) 3", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 2", "C) 0", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower door frame' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'freezer' are present in this scene?", "options": ["A) 0", "B) 4", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom glass' are present in this scene?", "options": ["A) 0", "B) 1", "C) 5", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furnace' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 5", "B) 2", "C) 3", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 6", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 5", "B) 0", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen lower cabinet' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'side table' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 2", "B) 0", "C) 4", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 10", "B) 8", "C) 7", "D) 5"], "answer": "C) 7", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 7", "B) 5", "C) 6", "D) 2"], "answer": "B) 5", "videos": ["dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'file cabinet' are present in this scene?", "options": ["A) 1", "B) 4", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 5", "C) 4", "D) 2"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'heater' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 5", "B) 2", "C) 1", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink cabinet' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laundry machine' are present in this scene?", "options": ["A) 0", "B) 2", "C) 5", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 5", "B) 3", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath towel' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route38/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route38/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route38/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 2", "B) 0", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet door' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 1", "B) 6", "C) 2", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 7", "B) 3", "C) 1", "D) 4"], "answer": "D) 4", "videos": ["dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 2", "B) 6", "C) 3", "D) 1"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furnace' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'board' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 4"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 5", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'heater piping' are present in this scene?", "options": ["A) 3", "B) 0", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath sink' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'oven' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wood' are present in this scene?", "options": ["A) 2", "B) 5", "C) 1", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route37/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route37/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route37/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower floor' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laptop' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 0", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 5", "B) 0", "C) 3", "D) 4"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'l-shaped sofa' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stair' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 5", "B) 0", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 0", "B) 4", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 9", "B) 4", "C) 3", "D) 6"], "answer": "D) 6", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 0", "B) 4", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 0", "B) 3", "C) 4", "D) 5"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath wall' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 3", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 3", "C) 6", "D) 2"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 3", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelving' are present in this scene?", "options": ["A) 2", "B) 1", "C) 5", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 2", "B) 5", "C) 1", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 5", "B) 6", "C) 4", "D) 7"], "answer": "C) 4", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clock' are present in this scene?", "options": ["A) 1", "B) 5", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 10", "B) 7", "C) 9", "D) 8"], "answer": "C) 9", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fridge' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 4", "C) 5", "D) 6"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stair handle' are present in this scene?", "options": ["A) 5", "B) 0", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'lampshade' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 4", "B) 2", "C) 0", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clock' are present in this scene?", "options": ["A) 3", "B) 2", "C) 4", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 2", "B) 4", "C) 3", "D) 1"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 5", "C) 3", "D) 1"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route35/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet door' are present in this scene?", "options": ["A) 5", "B) 0", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 4", "B) 1", "C) 2", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 10", "B) 8", "C) 9", "D) 5"], "answer": "B) 8", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 0", "C) 3", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower cabin' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink cabinet' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower soap shelf' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'high shelf' are present in this scene?", "options": ["A) 2", "B) 4", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 4", "B) 0", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelving' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 4", "B) 7", "C) 3", "D) 1"], "answer": "A) 4", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route45/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route45/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route45/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'picture' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower door frame' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furnace' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 0", "C) 5", "D) 2"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'furnace' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route66/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route66/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route66/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 5"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'l-shaped sofa' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower door' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'decorative plant' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 1", "B) 2", "C) 4", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 0", "B) 3", "C) 5", "D) 2"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sideboard' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'safe' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route58/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route58/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route58/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen wall' are present in this scene?", "options": ["A) 3", "B) 5", "C) 6", "D) 2"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 6"], "answer": "B) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'l-shaped sofa' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 1", "B) 5", "C) 6", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 6", "B) 4", "C) 3", "D) 5"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 2", "B) 0", "C) 3", "D) 6"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathtub' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route63/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route63/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route63/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 5", "B) 6", "C) 3", "D) 8"], "answer": "A) 5", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 5", "B) 1", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'board' are present in this scene?", "options": ["A) 6", "B) 3", "C) 2", "D) 0"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 6", "B) 1", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelving' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink cabinet' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen wall' are present in this scene?", "options": ["A) 5", "B) 1", "C) 2", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'broom' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 5", "C) 4", "D) 7"], "answer": "B) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 5", "B) 2", "C) 3", "D) 0"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen lower cabinet' are present in this scene?", "options": ["A) 5", "B) 4", "C) 3", "D) 2"], "answer": "B) 4", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath wall' are present in this scene?", "options": ["A) 4", "B) 0", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wall cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 3", "B) 0", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 0", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'oven and stove' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 5", "B) 2", "C) 1", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 6", "C) 0", "D) 5"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'recessed wall' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes rack' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'jacket' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 2", "C) 0", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'board' are present in this scene?", "options": ["A) 3", "B) 0", "C) 4", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen lower cabinet' are present in this scene?", "options": ["A) 0", "B) 2", "C) 5", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 1", "B) 2", "C) 5", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror frame' are present in this scene?", "options": ["A) 3", "B) 6", "C) 2", "D) 4"], "answer": "D) 4", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 3", "B) 2", "C) 5", "D) 7"], "answer": "C) 5", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet area for hanging clothes' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet area for hanging clothes' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'window' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 2", "B) 5", "C) 1", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stove' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 6", "C) 2", "D) 5"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 3", "B) 2", "C) 5", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 5", "B) 2", "C) 0", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 1", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'piano' are present in this scene?", "options": ["A) 1", "B) 0", "C) 2", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes dryer' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route57/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route57/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route57/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'coffee table' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laundry machine' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 5", "B) 3", "C) 4", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror frame' are present in this scene?", "options": ["A) 0", "B) 2", "C) 5", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'case' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'window' are present in this scene?", "options": ["A) 6", "B) 5", "C) 3", "D) 4"], "answer": "A) 6", "videos": ["dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 0", "B) 6", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 1", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 5", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stack of jackets' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 5", "B) 3", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower cabin' are present in this scene?", "options": ["A) 5", "B) 2", "C) 4", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom cabinet' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 0", "B) 3", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 4", "C) 1", "D) 0"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 3", "B) 0", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 1", "B) 6", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 0"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 0", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 6", "B) 3", "C) 0", "D) 5"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route84/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route84/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route84/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 3", "C) 0", "D) 1"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route67/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route67/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route67/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'chair' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laundry basket' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 3", "B) 2", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath wall' are present in this scene?", "options": ["A) 4", "B) 1", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 4", "B) 2", "C) 0", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 3", "B) 4", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route39/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route39/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route39/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 4", "B) 5", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'l-shaped sofa' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'toilet' are present in this scene?", "options": ["A) 1", "B) 2", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'safe' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 6", "B) 3", "C) 1", "D) 2"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 4", "C) 6", "D) 5"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 6", "B) 5", "C) 2", "D) 7"], "answer": "B) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 0", "B) 4", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower door' are present in this scene?", "options": ["A) 0", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower stall' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route54/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route54/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route54/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wall cabinet' are present in this scene?", "options": ["A) 0", "B) 4", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'office chair' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'heater' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 4"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'worktop' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'pillar' are present in this scene?", "options": ["A) 0", "B) 3", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 1", "B) 2", "C) 5", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 5", "B) 3", "C) 2", "D) 6"], "answer": "A) 5", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table' are present in this scene?", "options": ["A) 0", "B) 1", "C) 3", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink cabinet' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 6", "C) 7", "D) 4"], "answer": "D) 4", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom cabinet' are present in this scene?", "options": ["A) 5", "B) 1", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 0", "B) 2", "C) 5", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 4", "B) 1", "C) 6", "D) 5"], "answer": "A) 4", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 6", "B) 1", "C) 3", "D) 0"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelf' are present in this scene?", "options": ["A) 2", "B) 5", "C) 3", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 5", "C) 6", "D) 0"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 6", "C) 2", "D) 5"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 5", "B) 0", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table cloth' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'computer desk' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 3", "B) 5", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'wall cabinet' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 0", "B) 5", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sink' are present in this scene?", "options": ["A) 0", "B) 4", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed sheet' are present in this scene?", "options": ["A) 0", "B) 4", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'recliner' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'dresser' are present in this scene?", "options": ["A) 5", "B) 3", "C) 0", "D) 1"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 5", "B) 1", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route66/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route66/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route66/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 2", "B) 4", "C) 5", "D) 7"], "answer": "C) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route54/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route54/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route54/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 0", "B) 2", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'printer' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'l-shaped sofa' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 8", "B) 6", "C) 11", "D) 9"], "answer": "A) 8", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route30/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes dryer' are present in this scene?", "options": ["A) 0", "B) 2", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route42/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route42/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route42/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clock' are present in this scene?", "options": ["A) 4", "B) 2", "C) 3", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'laundry basket' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'picture' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 1", "B) 5", "C) 3", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 3", "B) 1", "C) 4", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk chair' are present in this scene?", "options": ["A) 3", "B) 0", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'heater' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'lampshade' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet area for hanging clothes' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 7", "B) 8", "C) 6", "D) 5"], "answer": "B) 8", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'flower stand' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 2", "B) 1", "C) 5", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 2", "C) 0", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes rack' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'lamp' are present in this scene?", "options": ["A) 5", "B) 2", "C) 1", "D) 3"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 8", "B) 5", "C) 11", "D) 7"], "answer": "A) 8", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 1", "B) 4", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 4", "B) 7", "C) 2", "D) 3"], "answer": "A) 4", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'window' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen shelf' are present in this scene?", "options": ["A) 1", "B) 4", "C) 3", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 5", "C) 4", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom glass' are present in this scene?", "options": ["A) 1", "B) 5", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 12", "B) 9", "C) 10", "D) 7"], "answer": "C) 10", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet mirror wall' are present in this scene?", "options": ["A) 1", "B) 0", "C) 5", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen lower cabinet' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 3", "B) 5", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen wall' are present in this scene?", "options": ["A) 5", "B) 3", "C) 1", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 5", "B) 1", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 5", "B) 1", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route73/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route73/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route73/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 0", "B) 1", "C) 2", "D) 4"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom glass' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 6"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 1", "B) 4", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 5", "B) 3", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 6", "C) 4", "D) 1"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shelving' are present in this scene?", "options": ["A) 2", "B) 3", "C) 1", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 10", "B) 6", "C) 11", "D) 8"], "answer": "D) 8", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 12", "B) 8", "C) 9", "D) 11"], "answer": "C) 9", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet door' are present in this scene?", "options": ["A) 2", "B) 3", "C) 5", "D) 1"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 2", "D) 1"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 5", "B) 6", "C) 3", "D) 4"], "answer": "D) 4", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 2", "D) 4"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'spice rack' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 0"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom cabinet' are present in this scene?", "options": ["A) 4", "B) 2", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fridge' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 0"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 4", "B) 1", "C) 3", "D) 6"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 3", "B) 4", "C) 6", "D) 1"], "answer": "B) 4", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 6", "B) 0", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'microwave' are present in this scene?", "options": ["A) 3", "B) 2", "C) 5", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 5", "B) 2", "C) 3", "D) 1"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route89/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route89/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route89/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'closet door' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'armchair' are present in this scene?", "options": ["A) 5", "B) 0", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 4", "B) 0", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 5", "B) 1", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 6", "B) 3", "C) 4", "D) 5"], "answer": "D) 5", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'lampshade' are present in this scene?", "options": ["A) 2", "B) 3", "C) 0", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 2", "B) 0", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower door' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route69/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower cabin' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washer-dryer' are present in this scene?", "options": ["A) 4", "B) 0", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator cabinet' are present in this scene?", "options": ["A) 4", "B) 0", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 5", "B) 4", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine and dryer' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 5"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'cooker' are present in this scene?", "options": ["A) 1", "B) 2", "C) 0", "D) 3"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 6", "B) 0", "C) 4", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 0", "C) 5", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 0", "B) 3", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 4", "B) 1", "C) 7", "D) 3"], "answer": "A) 4", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 11", "B) 10", "C) 8", "D) 9"], "answer": "C) 8", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'clothes dryer' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 2", "B) 4", "C) 5", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'door' are present in this scene?", "options": ["A) 11", "B) 7", "C) 8", "D) 10"], "answer": "D) 10", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'desk' are present in this scene?", "options": ["A) 1", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 5"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 1", "B) 4", "C) 2", "D) 0"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 3", "B) 2", "C) 1", "D) 6"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'couch' are present in this scene?", "options": ["A) 2", "B) 3", "C) 4", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'display cabinet' are present in this scene?", "options": ["A) 5", "B) 3", "C) 2", "D) 1"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'office chair' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'ironing board' are present in this scene?", "options": ["A) 3", "B) 1", "C) 0", "D) 2"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'decorative plant' are present in this scene?", "options": ["A) 1", "B) 3", "C) 0", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'washing machine' are present in this scene?", "options": ["A) 3", "B) 4", "C) 5", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen cabinet' are present in this scene?", "options": ["A) 6", "B) 4", "C) 0", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'refrigerator' are present in this scene?", "options": ["A) 2", "B) 1", "C) 4", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 3", "B) 5", "C) 0", "D) 4"], "answer": "A) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'table lamp' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'heater' are present in this scene?", "options": ["A) 4", "B) 2", "C) 1", "D) 0"], "answer": "B) 2", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 4", "B) 3", "C) 2", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 3", "B) 5", "C) 6", "D) 2"], "answer": "B) 5", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 2", "B) 0", "C) 1", "D) 4"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'tv' are present in this scene?", "options": ["A) 2", "B) 1", "C) 0", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'led tv' are present in this scene?", "options": ["A) 5", "B) 4", "C) 2", "D) 3"], "answer": "C) 2", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bath' are present in this scene?", "options": ["A) 3", "B) 1", "C) 2", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sofa' are present in this scene?", "options": ["A) 2", "B) 5", "C) 4", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bench' are present in this scene?", "options": ["A) 2", "B) 1", "C) 3", "D) 0"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'sideboard' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 4", "B) 6", "C) 0", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower floor' are present in this scene?", "options": ["A) 1", "B) 3", "C) 2", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 0", "C) 4", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'side table' are present in this scene?", "options": ["A) 1", "B) 3", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 2", "B) 5", "C) 1", "D) 4"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'coat hanger' are present in this scene?", "options": ["A) 4", "B) 1", "C) 0", "D) 3"], "answer": "B) 1", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'storage cabinet' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 2"], "answer": "C) 3", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bed' are present in this scene?", "options": ["A) 2", "B) 3", "C) 5", "D) 4"], "answer": "B) 3", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen shelf' are present in this scene?", "options": ["A) 4", "B) 3", "C) 1", "D) 2"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom cabinet' are present in this scene?", "options": ["A) 2", "B) 4", "C) 1", "D) 3"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'guitar' are present in this scene?", "options": ["A) 0", "B) 2", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 0", "B) 4", "C) 3", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'kitchen island' are present in this scene?", "options": ["A) 1", "B) 0", "C) 3", "D) 4"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'fireplace wall' are present in this scene?", "options": ["A) 2", "B) 4", "C) 0", "D) 5"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'painting' are present in this scene?", "options": ["A) 3", "B) 4", "C) 0", "D) 2"], "answer": "D) 2", "videos": ["dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'stand' are present in this scene?", "options": ["A) 3", "B) 4", "C) 0", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'mirror' are present in this scene?", "options": ["A) 0", "B) 3", "C) 4", "D) 1"], "answer": "D) 1", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'pouffe' are present in this scene?", "options": ["A) 1", "B) 0", "C) 4", "D) 2"], "answer": "A) 1", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower wall' are present in this scene?", "options": ["A) 5", "B) 6", "C) 2", "D) 3"], "answer": "D) 3", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'shower door frame' are present in this scene?", "options": ["A) 4", "B) 0", "C) 1", "D) 3"], "answer": "C) 1", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Object_Counting", "question": "Based on the combined exploration in all 3 videos, how many distinct instances of 'bathroom counter' are present in this scene?", "options": ["A) 2", "B) 5", "C) 1", "D) 0"], "answer": "A) 2", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, dresser, tray> to Region 2 <room with the mirror, toilet, towel bar>?", "options": ["A) Region 1 <room with the carpet, dresser, tray> -> room with the cabinet, couch, door knob -> Region 2 <room with the mirror, toilet, towel bar>", "B) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the mirror, toilet, towel bar>", "C) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, ceiling light fixture connection -> room with the cabinet, couch, door knob -> Region 2 <room with the mirror, toilet, towel bar>", "D) Region 1 <room with the carpet, dresser, tray> -> Region 2 <room with the mirror, toilet, towel bar>"], "answer": "B) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the mirror, toilet, towel bar>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> to Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>?", "options": ["A) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the mirror, toilet, towel bar -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>", "B) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the mirror, toilet, towel bar -> room with the carpet, dresser, tray -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>", "C) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the carpet, dresser, tray -> room with the mirror, toilet, towel bar -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>", "D) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>"], "answer": "A) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the mirror, toilet, towel bar -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, dresser, tray> to Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>?", "options": ["A) Region 1 <room with the carpet, dresser, tray> -> room with the mirror, toilet, towel bar -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>", "B) Region 1 <room with the carpet, dresser, tray> -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>", "C) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, ceiling light fixture connection -> room with the mirror, toilet, towel bar -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>", "D) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>"], "answer": "C) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, ceiling light fixture connection -> room with the mirror, toilet, towel bar -> Region 2 <room with the stairs, staircase handrail, ceiling light fixture connection>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, dresser, tray> to Region 2 <room with the closet door, bed, clothes hanger>?", "options": ["A) Region 1 <room with the carpet, dresser, tray> -> room with the cabinet, couch, door knob -> Region 2 <room with the closet door, bed, clothes hanger>", "B) Region 1 <room with the carpet, dresser, tray> -> room with the cabinet, couch, door knob -> room with the stairs, staircase handrail, door knob -> Region 2 <room with the closet door, bed, clothes hanger>", "C) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> room with the cabinet, couch, door knob -> Region 2 <room with the closet door, bed, clothes hanger>", "D) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> Region 2 <room with the closet door, bed, clothes hanger>"], "answer": "D) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> Region 2 <room with the closet door, bed, clothes hanger>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stairs, staircase handrail, door knob> to Region 2 <room with the cabinet, couch, door knob>?", "options": ["A) Region 1 <room with the stairs, staircase handrail, door knob> -> room with the carpet, dresser, tray -> room with the closet door, bed, clothes hanger -> Region 2 <room with the cabinet, couch, door knob>", "B) Region 1 <room with the stairs, staircase handrail, door knob> -> room with the closet door, bed, clothes hanger -> Region 2 <room with the cabinet, couch, door knob>", "C) Region 1 <room with the stairs, staircase handrail, door knob> -> Region 2 <room with the cabinet, couch, door knob>", "D) Region 1 <room with the stairs, staircase handrail, door knob> -> room with the closet door, bed, clothes hanger -> room with the carpet, dresser, tray -> Region 2 <room with the cabinet, couch, door knob>"], "answer": "B) Region 1 <room with the stairs, staircase handrail, door knob> -> room with the closet door, bed, clothes hanger -> Region 2 <room with the cabinet, couch, door knob>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, dresser, tray> to Region 2 <room with the cabinet, couch, door knob>?", "options": ["A) Region 1 <room with the carpet, dresser, tray> -> room with the closet door, bed, clothes hanger -> room with the stairs, staircase handrail, door knob -> Region 2 <room with the cabinet, couch, door knob>", "B) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> Region 2 <room with the cabinet, couch, door knob>", "C) Region 1 <room with the carpet, dresser, tray> -> Region 2 <room with the cabinet, couch, door knob>", "D) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> room with the closet door, bed, clothes hanger -> Region 2 <room with the cabinet, couch, door knob>"], "answer": "D) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> room with the closet door, bed, clothes hanger -> Region 2 <room with the cabinet, couch, door knob>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, dresser, tray> to Region 2 <room with the clothes hanger, pillow, closet door>?", "options": ["A) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> room with the cabinet, couch, door knob -> Region 2 <room with the clothes hanger, pillow, closet door>", "B) Region 1 <room with the carpet, dresser, tray> -> room with the cabinet, couch, door knob -> Region 2 <room with the clothes hanger, pillow, closet door>", "C) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> Region 2 <room with the clothes hanger, pillow, closet door>", "D) Region 1 <room with the carpet, dresser, tray> -> Region 2 <room with the clothes hanger, pillow, closet door>"], "answer": "C) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> Region 2 <room with the clothes hanger, pillow, closet door>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stairs, staircase handrail, door knob> to Region 2 <room with the cabinet, couch, door knob>?", "options": ["A) Region 1 <room with the stairs, staircase handrail, door knob> -> room with the carpet, dresser, tray -> room with the clothes hanger, pillow, closet door -> Region 2 <room with the cabinet, couch, door knob>", "B) Region 1 <room with the stairs, staircase handrail, door knob> -> Region 2 <room with the cabinet, couch, door knob>", "C) Region 1 <room with the stairs, staircase handrail, door knob> -> room with the clothes hanger, pillow, closet door -> room with the carpet, dresser, tray -> Region 2 <room with the cabinet, couch, door knob>", "D) Region 1 <room with the stairs, staircase handrail, door knob> -> room with the clothes hanger, pillow, closet door -> Region 2 <room with the cabinet, couch, door knob>"], "answer": "D) Region 1 <room with the stairs, staircase handrail, door knob> -> room with the clothes hanger, pillow, closet door -> Region 2 <room with the cabinet, couch, door knob>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, dresser, tray> to Region 2 <room with the cabinet, couch, door knob>?", "options": ["A) Region 1 <room with the carpet, dresser, tray> -> room with the clothes hanger, pillow, closet door -> Region 2 <room with the cabinet, couch, door knob>", "B) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> Region 2 <room with the cabinet, couch, door knob>", "C) Region 1 <room with the carpet, dresser, tray> -> Region 2 <room with the cabinet, couch, door knob>", "D) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> room with the clothes hanger, pillow, closet door -> Region 2 <room with the cabinet, couch, door knob>"], "answer": "D) Region 1 <room with the carpet, dresser, tray> -> room with the stairs, staircase handrail, door knob -> room with the clothes hanger, pillow, closet door -> Region 2 <room with the cabinet, couch, door knob>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> to Region 2 <room with the cabinet, couch, door knob>?", "options": ["A) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> Region 2 <room with the cabinet, couch, door knob>", "B) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> room with the carpet, tray, rack -> room with the nightstand, closet door, bed -> Region 2 <room with the cabinet, couch, door knob>", "C) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> room with the nightstand, closet door, bed -> Region 2 <room with the cabinet, couch, door knob>", "D) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> room with the carpet, tray, rack -> Region 2 <room with the cabinet, couch, door knob>"], "answer": "C) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> room with the nightstand, closet door, bed -> Region 2 <room with the cabinet, couch, door knob>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, closet door, bed> to Region 2 <room with the nightstand, closet door, bed>?", "options": ["A) Region 1 <room with the nightstand, closet door, bed> -> room with the staircase handrail, stairs, ceiling light fixture connection -> room with the cabinet, couch, door knob -> Region 2 <room with the nightstand, closet door, bed>", "B) Region 1 <room with the nightstand, closet door, bed> -> room with the staircase handrail, stairs, ceiling light fixture connection -> Region 2 <room with the nightstand, closet door, bed>", "C) Region 1 <room with the nightstand, closet door, bed> -> room with the cabinet, couch, door knob -> Region 2 <room with the nightstand, closet door, bed>", "D) Region 1 <room with the nightstand, closet door, bed> -> Region 2 <room with the nightstand, closet door, bed>"], "answer": "C) Region 1 <room with the nightstand, closet door, bed> -> room with the cabinet, couch, door knob -> Region 2 <room with the nightstand, closet door, bed>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> to Region 2 <room with the nightstand, closet door, bed>?", "options": ["A) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> room with the cabinet, couch, door knob -> Region 2 <room with the nightstand, closet door, bed>", "B) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> Region 2 <room with the nightstand, closet door, bed>", "C) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> room with the cabinet, couch, door knob -> room with the nightstand, closet door, bed -> Region 2 <room with the nightstand, closet door, bed>", "D) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> room with the nightstand, closet door, bed -> room with the cabinet, couch, door knob -> Region 2 <room with the nightstand, closet door, bed>"], "answer": "D) Region 1 <room with the staircase handrail, stairs, ceiling light fixture connection> -> room with the nightstand, closet door, bed -> room with the cabinet, couch, door knob -> Region 2 <room with the nightstand, closet door, bed>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the mirror, towel bar, washbasin counter> to Region 2 <room with the bed, clothes hanger, pillow>?", "options": ["A) Region 1 <room with the mirror, towel bar, washbasin counter> -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the bed, clothes hanger, pillow>", "B) Region 1 <room with the mirror, towel bar, washbasin counter> -> Region 2 <room with the bed, clothes hanger, pillow>", "C) Region 1 <room with the mirror, towel bar, washbasin counter> -> room with the cabinet, couch, ceiling light fixture connection -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the bed, clothes hanger, pillow>", "D) Region 1 <room with the mirror, towel bar, washbasin counter> -> room with the stairs, staircase handrail, ceiling light fixture connection -> room with the cabinet, couch, ceiling light fixture connection -> Region 2 <room with the bed, clothes hanger, pillow>"], "answer": "A) Region 1 <room with the mirror, towel bar, washbasin counter> -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the bed, clothes hanger, pillow>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> to Region 2 <room with the cabinet, couch, ceiling light fixture connection>?", "options": ["A) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the bed, clothes hanger, pillow -> room with the mirror, towel bar, washbasin counter -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>", "B) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the mirror, towel bar, washbasin counter -> room with the bed, clothes hanger, pillow -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>", "C) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>", "D) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the bed, clothes hanger, pillow -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>"], "answer": "D) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the bed, clothes hanger, pillow -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the mirror, towel bar, washbasin counter> to Region 2 <room with the cabinet, couch, ceiling light fixture connection>?", "options": ["A) Region 1 <room with the mirror, towel bar, washbasin counter> -> room with the stairs, staircase handrail, ceiling light fixture connection -> room with the bed, clothes hanger, pillow -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>", "B) Region 1 <room with the mirror, towel bar, washbasin counter> -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>", "C) Region 1 <room with the mirror, towel bar, washbasin counter> -> room with the bed, clothes hanger, pillow -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>", "D) Region 1 <room with the mirror, towel bar, washbasin counter> -> room with the bed, clothes hanger, pillow -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>"], "answer": "A) Region 1 <room with the mirror, towel bar, washbasin counter> -> room with the stairs, staircase handrail, ceiling light fixture connection -> room with the bed, clothes hanger, pillow -> Region 2 <room with the cabinet, couch, ceiling light fixture connection>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet paper dispenser, box of tissues, mirror> to Region 2 <room with the nightstand, bed, clothes hanger>?", "options": ["A) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> room with the couch, ceiling light fixture connection, door knob -> Region 2 <room with the nightstand, bed, clothes hanger>", "B) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> Region 2 <room with the nightstand, bed, clothes hanger>", "C) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> room with the stairs, staircase handrail, ceiling light fixture connection -> room with the couch, ceiling light fixture connection, door knob -> Region 2 <room with the nightstand, bed, clothes hanger>", "D) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the nightstand, bed, clothes hanger>"], "answer": "D) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the nightstand, bed, clothes hanger>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> to Region 2 <room with the couch, ceiling light fixture connection, door knob>?", "options": ["A) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the toilet paper dispenser, box of tissues, mirror -> room with the nightstand, bed, clothes hanger -> Region 2 <room with the couch, ceiling light fixture connection, door knob>", "B) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> Region 2 <room with the couch, ceiling light fixture connection, door knob>", "C) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the toilet paper dispenser, box of tissues, mirror -> Region 2 <room with the couch, ceiling light fixture connection, door knob>", "D) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the nightstand, bed, clothes hanger -> Region 2 <room with the couch, ceiling light fixture connection, door knob>"], "answer": "D) Region 1 <room with the stairs, staircase handrail, ceiling light fixture connection> -> room with the nightstand, bed, clothes hanger -> Region 2 <room with the couch, ceiling light fixture connection, door knob>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet paper dispenser, box of tissues, mirror> to Region 2 <room with the couch, ceiling light fixture connection, door knob>?", "options": ["A) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> room with the stairs, staircase handrail, ceiling light fixture connection -> Region 2 <room with the couch, ceiling light fixture connection, door knob>", "B) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> Region 2 <room with the couch, ceiling light fixture connection, door knob>", "C) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> room with the nightstand, bed, clothes hanger -> Region 2 <room with the couch, ceiling light fixture connection, door knob>", "D) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> room with the stairs, staircase handrail, ceiling light fixture connection -> room with the nightstand, bed, clothes hanger -> Region 2 <room with the couch, ceiling light fixture connection, door knob>"], "answer": "D) Region 1 <room with the toilet paper dispenser, box of tissues, mirror> -> room with the stairs, staircase handrail, ceiling light fixture connection -> room with the nightstand, bed, clothes hanger -> Region 2 <room with the couch, ceiling light fixture connection, door knob>", "videos": ["dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/4ok3usBNeis/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the casket, bed, sliding door>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> Region 2 <room with the casket, bed, sliding door>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the casket, bed, sliding door>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the casket, bed, sliding door>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> Region 2 <room with the casket, bed, sliding door>"], "answer": "A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> Region 2 <room with the casket, bed, sliding door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bag, storage shelving, hanging clothes> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the casket, bed, sliding door -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the bag, storage shelving, hanging clothes> -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "B) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, bed, sliding door -> room with the bag, storage shelving, hanging clothes -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the casket, bed, ceiling fan>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the curtain rod, flowerpot, wall clock -> room with the bag, storage shelving, clothes container -> Region 2 <room with the casket, bed, ceiling fan>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> Region 2 <room with the casket, bed, ceiling fan>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> Region 2 <room with the casket, bed, ceiling fan>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the casket, bed, ceiling fan>"], "answer": "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> Region 2 <room with the casket, bed, ceiling fan>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bag, storage shelving, clothes container> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the bag, storage shelving, clothes container> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the bag, storage shelving, clothes container> -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the bag, storage shelving, clothes container> -> room with the casket, bed, ceiling fan -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the bag, storage shelving, clothes container> -> room with the casket, bed, ceiling fan -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "D) Region 1 <room with the bag, storage shelving, clothes container> -> room with the casket, bed, ceiling fan -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, bed, ceiling fan -> room with the bag, storage shelving, clothes container -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> room with the casket, bed, ceiling fan -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> room with the casket, bed, ceiling fan -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air conditioner, armchair, bed> to Region 2 <room with the island, bar chair, casket>?", "options": ["A) None", "B) Region 1 <room with the air conditioner, armchair, bed> -> room with the support beam, smoke detector, washing machine -> Region 2 <room with the island, bar chair, casket>", "C) Region 1 <room with the air conditioner, armchair, bed> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, smoke detector, washing machine -> Region 2 <room with the island, bar chair, casket>", "D) None"], "answer": "C) Region 1 <room with the air conditioner, armchair, bed> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, smoke detector, washing machine -> Region 2 <room with the island, bar chair, casket>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, closet storage area, shelf> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the storage shelving, closet storage area, shelf> -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the storage shelving, closet storage area, shelf> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the storage shelving, closet storage area, shelf> -> room with the step stool, shower floor, toilet -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the storage shelving, closet storage area, shelf> -> room with the step stool, shower floor, toilet -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "A) Region 1 <room with the storage shelving, closet storage area, shelf> -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, bed, sliding door> to Region 2 <room with the step stool, shower floor, toilet>?", "options": ["A) Region 1 <room with the casket, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> room with the storage shelving, closet storage area, shelf -> Region 2 <room with the step stool, shower floor, toilet>", "B) Region 1 <room with the casket, bed, sliding door> -> room with the storage shelving, closet storage area, shelf -> Region 2 <room with the step stool, shower floor, toilet>", "C) Region 1 <room with the casket, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, shower floor, toilet>", "D) Region 1 <room with the casket, bed, sliding door> -> Region 2 <room with the step stool, shower floor, toilet>"], "answer": "C) Region 1 <room with the casket, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, shower floor, toilet>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, closet storage area, shelf> to Region 2 <room with the step stool, shower floor, toilet>?", "options": ["A) Region 1 <room with the storage shelving, closet storage area, shelf> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, shower floor, toilet>", "B) Region 1 <room with the storage shelving, closet storage area, shelf> -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, shower floor, toilet>", "C) Region 1 <room with the storage shelving, closet storage area, shelf> -> room with the curtain rod, flowerpot, wall clock -> room with the casket, bed, sliding door -> Region 2 <room with the step stool, shower floor, toilet>", "D) Region 1 <room with the storage shelving, closet storage area, shelf> -> Region 2 <room with the step stool, shower floor, toilet>"], "answer": "B) Region 1 <room with the storage shelving, closet storage area, shelf> -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, shower floor, toilet>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, appliance, shelf> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the storage shelving, appliance, shelf> -> room with the support beam, washing machine, sliding door -> room with the casket, air conditioner, bed -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the storage shelving, appliance, shelf> -> room with the casket, air conditioner, bed -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the storage shelving, appliance, shelf> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the storage shelving, appliance, shelf> -> room with the casket, air conditioner, bed -> room with the support beam, washing machine, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "B) Region 1 <room with the storage shelving, appliance, shelf> -> room with the casket, air conditioner, bed -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, air conditioner, bed> to Region 2 <room with the support beam, washing machine, sliding door>?", "options": ["A) Region 1 <room with the casket, air conditioner, bed> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "B) Region 1 <room with the casket, air conditioner, bed> -> room with the curtain rod, flowerpot, wall clock -> room with the storage shelving, appliance, shelf -> Region 2 <room with the support beam, washing machine, sliding door>", "C) Region 1 <room with the casket, air conditioner, bed> -> room with the storage shelving, appliance, shelf -> Region 2 <room with the support beam, washing machine, sliding door>", "D) Region 1 <room with the casket, air conditioner, bed> -> Region 2 <room with the support beam, washing machine, sliding door>"], "answer": "A) Region 1 <room with the casket, air conditioner, bed> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, appliance, shelf> to Region 2 <room with the support beam, washing machine, sliding door>?", "options": ["A) Region 1 <room with the storage shelving, appliance, shelf> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "B) Region 1 <room with the storage shelving, appliance, shelf> -> Region 2 <room with the support beam, washing machine, sliding door>", "C) Region 1 <room with the storage shelving, appliance, shelf> -> room with the casket, air conditioner, bed -> Region 2 <room with the support beam, washing machine, sliding door>", "D) Region 1 <room with the storage shelving, appliance, shelf> -> room with the casket, air conditioner, bed -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>"], "answer": "D) Region 1 <room with the storage shelving, appliance, shelf> -> room with the casket, air conditioner, bed -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clothes container, closet storage area> to Region 2 <room with the support beam, box, smoke detector>?", "options": ["A) Region 1 <room with the clothes container, closet storage area> -> room with the casket, air conditioner, armchair -> room with the seat, carpet roll, closet door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, box, smoke detector>", "B) Region 1 <room with the clothes container, closet storage area> -> room with the seat, carpet roll, closet door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, box, smoke detector>", "C) Region 1 <room with the clothes container, closet storage area> -> room with the curtain rod, flowerpot, wall clock -> room with the seat, carpet roll, closet door -> Region 2 <room with the support beam, box, smoke detector>", "D) Region 1 <room with the clothes container, closet storage area> -> room with the casket, air conditioner, armchair -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, box, smoke detector>"], "answer": "D) Region 1 <room with the clothes container, closet storage area> -> room with the casket, air conditioner, armchair -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, box, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, air conditioner, armchair> to Region 2 <room with the seat, carpet roll, closet door>?", "options": ["A) Region 1 <room with the casket, air conditioner, armchair> -> room with the support beam, box, smoke detector -> room with the clothes container, closet storage area -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the seat, carpet roll, closet door>", "B) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the clothes container, closet storage area -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "C) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "D) Region 1 <room with the casket, air conditioner, armchair> -> room with the clothes container, closet storage area -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the seat, carpet roll, closet door>"], "answer": "C) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clothes container, closet storage area> to Region 2 <room with the seat, carpet roll, closet door>?", "options": ["A) Region 1 <room with the clothes container, closet storage area> -> room with the support beam, box, smoke detector -> room with the curtain rod, flowerpot, wall clock -> room with the casket, air conditioner, armchair -> Region 2 <room with the seat, carpet roll, closet door>", "B) Region 1 <room with the clothes container, closet storage area> -> room with the casket, air conditioner, armchair -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the seat, carpet roll, closet door>", "C) Region 1 <room with the clothes container, closet storage area> -> room with the casket, air conditioner, armchair -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "D) Region 1 <room with the clothes container, closet storage area> -> room with the support beam, box, smoke detector -> room with the casket, air conditioner, armchair -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the seat, carpet roll, closet door>"], "answer": "C) Region 1 <room with the clothes container, closet storage area> -> room with the casket, air conditioner, armchair -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clothes container, storage shelving, shoe> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the clothes container, storage shelving, shoe> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the clothes container, storage shelving, shoe> -> room with the casket, bed, sliding door -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the clothes container, storage shelving, shoe> -> room with the thermostat, wall lamp, appliance -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the clothes container, storage shelving, shoe> -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "D) Region 1 <room with the clothes container, storage shelving, shoe> -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, bed, sliding door> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the casket, bed, sliding door> -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the casket, bed, sliding door> -> room with the clothes container, storage shelving, shoe -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the casket, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the casket, bed, sliding door> -> room with the clothes container, storage shelving, shoe -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "C) Region 1 <room with the casket, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clothes container, storage shelving, shoe> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the clothes container, storage shelving, shoe> -> room with the curtain rod, flowerpot, wall clock -> room with the casket, bed, sliding door -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the clothes container, storage shelving, shoe> -> room with the casket, bed, sliding door -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the clothes container, storage shelving, shoe> -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the clothes container, storage shelving, shoe> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "C) Region 1 <room with the clothes container, storage shelving, shoe> -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route14/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, appliance, shoe> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the storage shelving, appliance, shoe> -> room with the casket, bed, sliding door -> room with the fume cupboard, microwave, window curtain -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the storage shelving, appliance, shoe> -> room with the fume cupboard, microwave, window curtain -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the storage shelving, appliance, shoe> -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the storage shelving, appliance, shoe> -> room with the fume cupboard, microwave, window curtain -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "C) Region 1 <room with the storage shelving, appliance, shoe> -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, bed, sliding door> to Region 2 <room with the fume cupboard, microwave, window curtain>?", "options": ["A) Region 1 <room with the casket, bed, sliding door> -> room with the storage shelving, appliance, shoe -> Region 2 <room with the fume cupboard, microwave, window curtain>", "B) Region 1 <room with the casket, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>", "C) Region 1 <room with the casket, bed, sliding door> -> room with the storage shelving, appliance, shoe -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>", "D) Region 1 <room with the casket, bed, sliding door> -> Region 2 <room with the fume cupboard, microwave, window curtain>"], "answer": "B) Region 1 <room with the casket, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, appliance, shoe> to Region 2 <room with the fume cupboard, microwave, window curtain>?", "options": ["A) Region 1 <room with the storage shelving, appliance, shoe> -> room with the casket, bed, sliding door -> Region 2 <room with the fume cupboard, microwave, window curtain>", "B) Region 1 <room with the storage shelving, appliance, shoe> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>", "C) Region 1 <room with the storage shelving, appliance, shoe> -> Region 2 <room with the fume cupboard, microwave, window curtain>", "D) Region 1 <room with the storage shelving, appliance, shoe> -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>"], "answer": "D) Region 1 <room with the storage shelving, appliance, shoe> -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route15/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, closet storage area> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the storage shelving, closet storage area> -> room with the wardrobe, bed, casket -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the storage shelving, closet storage area> -> room with the bucket, office chair, fireplace -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the storage shelving, closet storage area> -> room with the bucket, office chair, fireplace -> room with the wardrobe, bed, casket -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the storage shelving, closet storage area> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "A) Region 1 <room with the storage shelving, closet storage area> -> room with the wardrobe, bed, casket -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, bed, casket> to Region 2 <room with the bucket, office chair, fireplace>?", "options": ["A) Region 1 <room with the wardrobe, bed, casket> -> room with the storage shelving, closet storage area -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "B) Region 1 <room with the wardrobe, bed, casket> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> room with the storage shelving, closet storage area -> Region 2 <room with the bucket, office chair, fireplace>", "C) Region 1 <room with the wardrobe, bed, casket> -> room with the storage shelving, closet storage area -> room with the thermostat, wall lamp, appliance -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the bucket, office chair, fireplace>", "D) Region 1 <room with the wardrobe, bed, casket> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>"], "answer": "D) Region 1 <room with the wardrobe, bed, casket> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, closet storage area> to Region 2 <room with the bucket, office chair, fireplace>?", "options": ["A) Region 1 <room with the storage shelving, closet storage area> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "B) Region 1 <room with the storage shelving, closet storage area> -> room with the wardrobe, bed, casket -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the bucket, office chair, fireplace>", "C) Region 1 <room with the storage shelving, closet storage area> -> room with the wardrobe, bed, casket -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "D) Region 1 <room with the storage shelving, closet storage area> -> room with the wardrobe, bed, casket -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>"], "answer": "C) Region 1 <room with the storage shelving, closet storage area> -> room with the wardrobe, bed, casket -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, air conditioner, armchair> to Region 2 <room with the support beam, box, smoke detector>?", "options": ["A) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the island, bar chair, wall lamp -> Region 2 <room with the support beam, box, smoke detector>", "B) Region 1 <room with the casket, air conditioner, armchair> -> Region 2 <room with the support beam, box, smoke detector>", "C) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, box, smoke detector>", "D) Region 1 <room with the casket, air conditioner, armchair> -> room with the island, bar chair, wall lamp -> Region 2 <room with the support beam, box, smoke detector>"], "answer": "C) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, box, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the island, bar chair, wall lamp>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the support beam, box, smoke detector -> Region 2 <room with the island, bar chair, wall lamp>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the island, bar chair, wall lamp>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the support beam, box, smoke detector -> room with the casket, air conditioner, armchair -> Region 2 <room with the island, bar chair, wall lamp>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the casket, air conditioner, armchair -> room with the support beam, box, smoke detector -> Region 2 <room with the island, bar chair, wall lamp>"], "answer": "A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the support beam, box, smoke detector -> Region 2 <room with the island, bar chair, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, air conditioner, armchair> to Region 2 <room with the island, bar chair, wall lamp>?", "options": ["A) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, box, smoke detector -> Region 2 <room with the island, bar chair, wall lamp>", "B) Region 1 <room with the casket, air conditioner, armchair> -> Region 2 <room with the island, bar chair, wall lamp>", "C) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the island, bar chair, wall lamp>", "D) Region 1 <room with the casket, air conditioner, armchair> -> room with the support beam, box, smoke detector -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the island, bar chair, wall lamp>"], "answer": "A) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, box, smoke detector -> Region 2 <room with the island, bar chair, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route17/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air conditioner, nightstand, wardrobe> to Region 2 <room with the step stool, toilet, shower bar>?", "options": ["A) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the support beam, sliding door, washing machine -> Region 2 <room with the step stool, toilet, shower bar>", "B) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, toilet, shower bar>", "C) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, sliding door, washing machine -> Region 2 <room with the step stool, toilet, shower bar>", "D) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the support beam, sliding door, washing machine -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, toilet, shower bar>"], "answer": "B) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, toilet, shower bar>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the support beam, sliding door, washing machine>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the air conditioner, nightstand, wardrobe -> room with the step stool, toilet, shower bar -> Region 2 <room with the support beam, sliding door, washing machine>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the support beam, sliding door, washing machine>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the step stool, toilet, shower bar -> Region 2 <room with the support beam, sliding door, washing machine>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the step stool, toilet, shower bar -> room with the air conditioner, nightstand, wardrobe -> Region 2 <room with the support beam, sliding door, washing machine>"], "answer": "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the step stool, toilet, shower bar -> Region 2 <room with the support beam, sliding door, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air conditioner, nightstand, wardrobe> to Region 2 <room with the support beam, sliding door, washing machine>?", "options": ["A) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, sliding door, washing machine>", "B) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the step stool, toilet, shower bar -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, sliding door, washing machine>", "C) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the curtain rod, flowerpot, wall clock -> room with the step stool, toilet, shower bar -> Region 2 <room with the support beam, sliding door, washing machine>", "D) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the step stool, toilet, shower bar -> Region 2 <room with the support beam, sliding door, washing machine>"], "answer": "C) Region 1 <room with the air conditioner, nightstand, wardrobe> -> room with the curtain rod, flowerpot, wall clock -> room with the step stool, toilet, shower bar -> Region 2 <room with the support beam, sliding door, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route18/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, air conditioner, armchair> to Region 2 <room with the box, support beam, smoke detector>?", "options": ["A) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the seat, carpet roll, closet door -> Region 2 <room with the box, support beam, smoke detector>", "B) Region 1 <room with the casket, air conditioner, armchair> -> room with the seat, carpet roll, closet door -> Region 2 <room with the box, support beam, smoke detector>", "C) Region 1 <room with the casket, air conditioner, armchair> -> room with the seat, carpet roll, closet door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the box, support beam, smoke detector>", "D) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the box, support beam, smoke detector>"], "answer": "D) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the box, support beam, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the seat, carpet roll, closet door>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the casket, air conditioner, armchair -> room with the box, support beam, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the box, support beam, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the box, support beam, smoke detector -> room with the casket, air conditioner, armchair -> Region 2 <room with the seat, carpet roll, closet door>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the seat, carpet roll, closet door>"], "answer": "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the box, support beam, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, air conditioner, armchair> to Region 2 <room with the seat, carpet roll, closet door>?", "options": ["A) Region 1 <room with the casket, air conditioner, armchair> -> Region 2 <room with the seat, carpet roll, closet door>", "B) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the box, support beam, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "C) Region 1 <room with the casket, air conditioner, armchair> -> room with the box, support beam, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "D) Region 1 <room with the casket, air conditioner, armchair> -> room with the box, support beam, smoke detector -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the seat, carpet roll, closet door>"], "answer": "B) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the box, support beam, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route19/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the support beam, smoke detector, washing machine>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> Region 2 <room with the support beam, smoke detector, washing machine>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the flowerpot, wall clock, wall tv -> room with the air conditioner, casket, bed -> Region 2 <room with the support beam, smoke detector, washing machine>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, appliance, shoe -> room with the air conditioner, casket, bed -> room with the flowerpot, wall clock, wall tv -> Region 2 <room with the support beam, smoke detector, washing machine>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the air conditioner, casket, bed -> room with the storage shelving, appliance, shoe -> room with the wall lamp, island, bar chair -> Region 2 <room with the support beam, smoke detector, washing machine>"], "answer": "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, appliance, shoe -> room with the air conditioner, casket, bed -> room with the flowerpot, wall clock, wall tv -> Region 2 <room with the support beam, smoke detector, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, appliance, shoe> to Region 2 <room with the wall lamp, island, bar chair>?", "options": ["A) Region 1 <room with the storage shelving, appliance, shoe> -> room with the air conditioner, casket, bed -> room with the flowerpot, wall clock, wall tv -> Region 2 <room with the wall lamp, island, bar chair>", "B) Region 1 <room with the storage shelving, appliance, shoe> -> room with the flowerpot, wall clock, wall tv -> Region 2 <room with the wall lamp, island, bar chair>", "C) Region 1 <room with the storage shelving, appliance, shoe> -> room with the flowerpot, wall clock, wall tv -> room with the bath faucet, bathtub, bath wall -> room with the support beam, smoke detector, washing machine -> Region 2 <room with the wall lamp, island, bar chair>", "D) Region 1 <room with the storage shelving, appliance, shoe> -> room with the air conditioner, casket, bed -> room with the flowerpot, wall clock, wall tv -> room with the support beam, smoke detector, washing machine -> Region 2 <room with the wall lamp, island, bar chair>"], "answer": "D) Region 1 <room with the storage shelving, appliance, shoe> -> room with the air conditioner, casket, bed -> room with the flowerpot, wall clock, wall tv -> room with the support beam, smoke detector, washing machine -> Region 2 <room with the wall lamp, island, bar chair>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the wall lamp, island, bar chair>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the flowerpot, wall clock, wall tv -> room with the storage shelving, appliance, shoe -> Region 2 <room with the wall lamp, island, bar chair>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the flowerpot, wall clock, wall tv -> room with the support beam, smoke detector, washing machine -> room with the air conditioner, casket, bed -> Region 2 <room with the wall lamp, island, bar chair>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, appliance, shoe -> room with the air conditioner, casket, bed -> room with the flowerpot, wall clock, wall tv -> room with the support beam, smoke detector, washing machine -> Region 2 <room with the wall lamp, island, bar chair>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the air conditioner, casket, bed -> room with the flowerpot, wall clock, wall tv -> Region 2 <room with the wall lamp, island, bar chair>"], "answer": "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, appliance, shoe -> room with the air conditioner, casket, bed -> room with the flowerpot, wall clock, wall tv -> room with the support beam, smoke detector, washing machine -> Region 2 <room with the wall lamp, island, bar chair>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, air conditioner, armchair> to Region 2 <room with the support beam, box, smoke detector>?", "options": ["A) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the seat, carpet roll, closet door -> Region 2 <room with the support beam, box, smoke detector>", "B) Region 1 <room with the casket, air conditioner, armchair> -> room with the seat, carpet roll, closet door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, box, smoke detector>", "C) Region 1 <room with the casket, air conditioner, armchair> -> Region 2 <room with the support beam, box, smoke detector>", "D) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, box, smoke detector>"], "answer": "D) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, box, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the seat, carpet roll, closet door>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the casket, air conditioner, armchair -> Region 2 <room with the seat, carpet roll, closet door>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the support beam, box, smoke detector -> room with the casket, air conditioner, armchair -> Region 2 <room with the seat, carpet roll, closet door>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the casket, air conditioner, armchair -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>"], "answer": "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, air conditioner, armchair> to Region 2 <room with the seat, carpet roll, closet door>?", "options": ["A) Region 1 <room with the casket, air conditioner, armchair> -> Region 2 <room with the seat, carpet roll, closet door>", "B) Region 1 <room with the casket, air conditioner, armchair> -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "C) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "D) Region 1 <room with the casket, air conditioner, armchair> -> room with the support beam, box, smoke detector -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the seat, carpet roll, closet door>"], "answer": "C) Region 1 <room with the casket, air conditioner, armchair> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, box, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed, air conditioner> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the nightstand, bed, air conditioner> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the nightstand, bed, air conditioner> -> room with the curtain rod, flowerpot, wall clock -> room with the bucket, office chair, monitor -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the nightstand, bed, air conditioner> -> room with the bucket, office chair, monitor -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the nightstand, bed, air conditioner> -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "A) Region 1 <room with the nightstand, bed, air conditioner> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the bucket, office chair, monitor>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, monitor>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the nightstand, bed, air conditioner -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, monitor>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the bucket, office chair, monitor>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the nightstand, bed, air conditioner -> Region 2 <room with the bucket, office chair, monitor>"], "answer": "A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, monitor>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed, air conditioner> to Region 2 <room with the bucket, office chair, monitor>?", "options": ["A) Region 1 <room with the nightstand, bed, air conditioner> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, monitor>", "B) Region 1 <room with the nightstand, bed, air conditioner> -> room with the thermostat, wall lamp, appliance -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the bucket, office chair, monitor>", "C) Region 1 <room with the nightstand, bed, air conditioner> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the bucket, office chair, monitor>", "D) Region 1 <room with the nightstand, bed, air conditioner> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, monitor>"], "answer": "A) Region 1 <room with the nightstand, bed, air conditioner> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, monitor>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, bed, sliding door> to Region 2 <room with the dishwasher, fume cupboard, microwave>?", "options": ["A) Region 1 <room with the wardrobe, bed, sliding door> -> room with the thermostat, wall lamp, appliance -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "B) Region 1 <room with the wardrobe, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "C) Region 1 <room with the wardrobe, bed, sliding door> -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "D) Region 1 <room with the wardrobe, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, microwave>"], "answer": "D) Region 1 <room with the wardrobe, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the wardrobe, bed, sliding door -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the dishwasher, fume cupboard, microwave -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the wardrobe, bed, sliding door -> room with the dishwasher, fume cupboard, microwave -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the dishwasher, fume cupboard, microwave -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, bed, sliding door> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the wardrobe, bed, sliding door> -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the wardrobe, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the wardrobe, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> room with the dishwasher, fume cupboard, microwave -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the wardrobe, bed, sliding door> -> room with the dishwasher, fume cupboard, microwave -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "C) Region 1 <room with the wardrobe, bed, sliding door> -> room with the curtain rod, flowerpot, wall clock -> room with the dishwasher, fume cupboard, microwave -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, bed, casket> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the wardrobe, bed, casket> -> room with the bucket, office chair, fireplace -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the wardrobe, bed, casket> -> room with the bucket, office chair, fireplace -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the wardrobe, bed, casket> -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the wardrobe, bed, casket> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "D) Region 1 <room with the wardrobe, bed, casket> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the bucket, office chair, fireplace>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the wardrobe, bed, casket -> Region 2 <room with the bucket, office chair, fireplace>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the wardrobe, bed, casket -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the bucket, office chair, fireplace>"], "answer": "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, bed, casket> to Region 2 <room with the bucket, office chair, fireplace>?", "options": ["A) Region 1 <room with the wardrobe, bed, casket> -> room with the thermostat, wall lamp, appliance -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the bucket, office chair, fireplace>", "B) Region 1 <room with the wardrobe, bed, casket> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "C) Region 1 <room with the wardrobe, bed, casket> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the bucket, office chair, fireplace>", "D) Region 1 <room with the wardrobe, bed, casket> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>"], "answer": "D) Region 1 <room with the wardrobe, bed, casket> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall tv> to Region 2 <room with the casket, island, bar chair>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall tv> -> room with the decoration, bed, seat -> room with the smoke detector, support beam, washing machine -> Region 2 <room with the casket, island, bar chair>", "B) Region 1 <room with the curtain rod, flowerpot, wall tv> -> Region 2 <room with the casket, island, bar chair>", "C) Region 1 <room with the curtain rod, flowerpot, wall tv> -> room with the smoke detector, support beam, washing machine -> Region 2 <room with the casket, island, bar chair>", "D) Region 1 <room with the curtain rod, flowerpot, wall tv> -> room with the smoke detector, support beam, washing machine -> room with the decoration, bed, seat -> Region 2 <room with the casket, island, bar chair>"], "answer": "C) Region 1 <room with the curtain rod, flowerpot, wall tv> -> room with the smoke detector, support beam, washing machine -> Region 2 <room with the casket, island, bar chair>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke detector, support beam, washing machine> to Region 2 <room with the decoration, bed, seat>?", "options": ["A) Region 1 <room with the smoke detector, support beam, washing machine> -> room with the curtain rod, flowerpot, wall tv -> room with the casket, island, bar chair -> Region 2 <room with the decoration, bed, seat>", "B) Region 1 <room with the smoke detector, support beam, washing machine> -> room with the casket, island, bar chair -> room with the curtain rod, flowerpot, wall tv -> Region 2 <room with the decoration, bed, seat>", "C) Region 1 <room with the smoke detector, support beam, washing machine> -> room with the casket, island, bar chair -> Region 2 <room with the decoration, bed, seat>", "D) Region 1 <room with the smoke detector, support beam, washing machine> -> room with the curtain rod, flowerpot, wall tv -> Region 2 <room with the decoration, bed, seat>"], "answer": "C) Region 1 <room with the smoke detector, support beam, washing machine> -> room with the casket, island, bar chair -> Region 2 <room with the decoration, bed, seat>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall tv> to Region 2 <room with the decoration, bed, seat>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall tv> -> room with the casket, island, bar chair -> room with the smoke detector, support beam, washing machine -> Region 2 <room with the decoration, bed, seat>", "B) Region 1 <room with the curtain rod, flowerpot, wall tv> -> room with the smoke detector, support beam, washing machine -> room with the casket, island, bar chair -> Region 2 <room with the decoration, bed, seat>", "C) Region 1 <room with the curtain rod, flowerpot, wall tv> -> room with the smoke detector, support beam, washing machine -> Region 2 <room with the decoration, bed, seat>", "D) Region 1 <room with the curtain rod, flowerpot, wall tv> -> room with the casket, island, bar chair -> Region 2 <room with the decoration, bed, seat>"], "answer": "B) Region 1 <room with the curtain rod, flowerpot, wall tv> -> room with the smoke detector, support beam, washing machine -> room with the casket, island, bar chair -> Region 2 <room with the decoration, bed, seat>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, lamp> to Region 2 <room with the decoration, seat, carpet roll>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, lamp> -> Region 2 <room with the decoration, seat, carpet roll>", "B) Region 1 <room with the curtain rod, flowerpot, lamp> -> room with the smoke detector, support beam, washing machine -> Region 2 <room with the decoration, seat, carpet roll>", "C) Region 1 <room with the curtain rod, flowerpot, lamp> -> room with the smoke detector, support beam, washing machine -> room with the thermostat, appliance, wall lamp -> Region 2 <room with the decoration, seat, carpet roll>", "D) Region 1 <room with the curtain rod, flowerpot, lamp> -> room with the thermostat, appliance, wall lamp -> Region 2 <room with the decoration, seat, carpet roll>"], "answer": "B) Region 1 <room with the curtain rod, flowerpot, lamp> -> room with the smoke detector, support beam, washing machine -> Region 2 <room with the decoration, seat, carpet roll>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke detector, support beam, washing machine> to Region 2 <room with the thermostat, appliance, wall lamp>?", "options": ["A) Region 1 <room with the smoke detector, support beam, washing machine> -> room with the decoration, seat, carpet roll -> room with the curtain rod, flowerpot, lamp -> Region 2 <room with the thermostat, appliance, wall lamp>", "B) Region 1 <room with the smoke detector, support beam, washing machine> -> Region 2 <room with the thermostat, appliance, wall lamp>", "C) Region 1 <room with the smoke detector, support beam, washing machine> -> room with the curtain rod, flowerpot, lamp -> Region 2 <room with the thermostat, appliance, wall lamp>", "D) Region 1 <room with the smoke detector, support beam, washing machine> -> room with the decoration, seat, carpet roll -> Region 2 <room with the thermostat, appliance, wall lamp>"], "answer": "D) Region 1 <room with the smoke detector, support beam, washing machine> -> room with the decoration, seat, carpet roll -> Region 2 <room with the thermostat, appliance, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, lamp> to Region 2 <room with the thermostat, appliance, wall lamp>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, lamp> -> room with the smoke detector, support beam, washing machine -> room with the decoration, seat, carpet roll -> Region 2 <room with the thermostat, appliance, wall lamp>", "B) Region 1 <room with the curtain rod, flowerpot, lamp> -> room with the decoration, seat, carpet roll -> Region 2 <room with the thermostat, appliance, wall lamp>", "C) Region 1 <room with the curtain rod, flowerpot, lamp> -> room with the decoration, seat, carpet roll -> room with the smoke detector, support beam, washing machine -> Region 2 <room with the thermostat, appliance, wall lamp>", "D) Region 1 <room with the curtain rod, flowerpot, lamp> -> room with the smoke detector, support beam, washing machine -> Region 2 <room with the thermostat, appliance, wall lamp>"], "answer": "A) Region 1 <room with the curtain rod, flowerpot, lamp> -> room with the smoke detector, support beam, washing machine -> room with the decoration, seat, carpet roll -> Region 2 <room with the thermostat, appliance, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route25/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the bucket, office chair, fireplace>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the dishwasher, fume cupboard, sink -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the bucket, office chair, fireplace>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the bucket, office chair, fireplace>"], "answer": "A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the thermostat, wall lamp, appliance> to Region 2 <room with the dishwasher, fume cupboard, sink>?", "options": ["A) Region 1 <room with the thermostat, wall lamp, appliance> -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, sink>", "B) Region 1 <room with the thermostat, wall lamp, appliance> -> room with the curtain rod, flowerpot, wall clock -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, sink>", "C) Region 1 <room with the thermostat, wall lamp, appliance> -> Region 2 <room with the dishwasher, fume cupboard, sink>", "D) Region 1 <room with the thermostat, wall lamp, appliance> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, sink>"], "answer": "A) Region 1 <room with the thermostat, wall lamp, appliance> -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, sink>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the dishwasher, fume cupboard, sink>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, sink>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the dishwasher, fume cupboard, sink>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, sink>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the dishwasher, fume cupboard, sink>"], "answer": "A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, sink>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route26/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the island, wall lamp, bar chair> to Region 2 <room with the step stool, plant, toilet>?", "options": ["A) Region 1 <room with the island, wall lamp, bar chair> -> Region 2 <room with the step stool, plant, toilet>", "B) Region 1 <room with the island, wall lamp, bar chair> -> room with the sliding door, washing machine, box -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, plant, toilet>", "C) Region 1 <room with the island, wall lamp, bar chair> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the step stool, plant, toilet>", "D) Region 1 <room with the island, wall lamp, bar chair> -> room with the sliding door, washing machine, box -> Region 2 <room with the step stool, plant, toilet>"], "answer": "D) Region 1 <room with the island, wall lamp, bar chair> -> room with the sliding door, washing machine, box -> Region 2 <room with the step stool, plant, toilet>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sliding door, washing machine, box> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the sliding door, washing machine, box> -> room with the island, wall lamp, bar chair -> room with the step stool, plant, toilet -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the sliding door, washing machine, box> -> room with the step stool, plant, toilet -> room with the island, wall lamp, bar chair -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the sliding door, washing machine, box> -> room with the step stool, plant, toilet -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the sliding door, washing machine, box> -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "C) Region 1 <room with the sliding door, washing machine, box> -> room with the step stool, plant, toilet -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the island, wall lamp, bar chair> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the island, wall lamp, bar chair> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the island, wall lamp, bar chair> -> room with the sliding door, washing machine, box -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the island, wall lamp, bar chair> -> room with the step stool, plant, toilet -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the island, wall lamp, bar chair> -> room with the sliding door, washing machine, box -> room with the step stool, plant, toilet -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "D) Region 1 <room with the island, wall lamp, bar chair> -> room with the sliding door, washing machine, box -> room with the step stool, plant, toilet -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, island, wall lamp> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the casket, island, wall lamp> -> room with the curtain rod, flowerpot, wall clock -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the casket, island, wall lamp> -> room with the support beam, sliding door, smoke detector -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the casket, island, wall lamp> -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the casket, island, wall lamp> -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "C) Region 1 <room with the casket, island, wall lamp> -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the support beam, sliding door, smoke detector> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the support beam, sliding door, smoke detector> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the thermostat, wall lamp, appliance -> room with the casket, island, wall lamp -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the casket, island, wall lamp -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "D) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, island, wall lamp> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the casket, island, wall lamp> -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the casket, island, wall lamp> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the casket, island, wall lamp> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the casket, island, wall lamp> -> room with the support beam, sliding door, smoke detector -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "D) Region 1 <room with the casket, island, wall lamp> -> room with the support beam, sliding door, smoke detector -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the casket, sliding door, air conditioner -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the plant, shower floor, toilet -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, sliding door, air conditioner -> room with the bag, storage shelving, hanging clothes -> room with the plant, shower floor, toilet -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the casket, sliding door, air conditioner -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bag, storage shelving, hanging clothes> to Region 2 <room with the plant, shower floor, toilet>?", "options": ["A) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the casket, sliding door, air conditioner -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, shower floor, toilet>", "B) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the bath faucet, bathtub, bath wall -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, shower floor, toilet>", "C) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the plant, shower floor, toilet>", "D) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the casket, sliding door, air conditioner -> room with the curtain rod, flowerpot, wall clock -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the plant, shower floor, toilet>"], "answer": "A) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the casket, sliding door, air conditioner -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, shower floor, toilet>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the plant, shower floor, toilet>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, shower floor, toilet>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> Region 2 <room with the plant, shower floor, toilet>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, shower floor, toilet>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the casket, sliding door, air conditioner -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, shower floor, toilet>"], "answer": "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the casket, sliding door, air conditioner -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, shower floor, toilet>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, island, wardrobe> to Region 2 <room with the office chair, pc tower, fireplace>?", "options": ["A) Region 1 <room with the casket, island, wardrobe> -> room with the thermostat, appliance, wall lamp -> room with the bed, chest drawer, bedside lamp -> Region 2 <room with the office chair, pc tower, fireplace>", "B) Region 1 <room with the casket, island, wardrobe> -> Region 2 <room with the office chair, pc tower, fireplace>", "C) Region 1 <room with the casket, island, wardrobe> -> room with the bed, chest drawer, bedside lamp -> room with the thermostat, appliance, wall lamp -> Region 2 <room with the office chair, pc tower, fireplace>", "D) Region 1 <room with the casket, island, wardrobe> -> room with the bed, chest drawer, bedside lamp -> Region 2 <room with the office chair, pc tower, fireplace>"], "answer": "D) Region 1 <room with the casket, island, wardrobe> -> room with the bed, chest drawer, bedside lamp -> Region 2 <room with the office chair, pc tower, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, chest drawer, bedside lamp> to Region 2 <room with the thermostat, appliance, wall lamp>?", "options": ["A) Region 1 <room with the bed, chest drawer, bedside lamp> -> Region 2 <room with the thermostat, appliance, wall lamp>", "B) Region 1 <room with the bed, chest drawer, bedside lamp> -> room with the casket, island, wardrobe -> room with the office chair, pc tower, fireplace -> Region 2 <room with the thermostat, appliance, wall lamp>", "C) Region 1 <room with the bed, chest drawer, bedside lamp> -> room with the office chair, pc tower, fireplace -> room with the casket, island, wardrobe -> Region 2 <room with the thermostat, appliance, wall lamp>", "D) Region 1 <room with the bed, chest drawer, bedside lamp> -> room with the office chair, pc tower, fireplace -> Region 2 <room with the thermostat, appliance, wall lamp>"], "answer": "D) Region 1 <room with the bed, chest drawer, bedside lamp> -> room with the office chair, pc tower, fireplace -> Region 2 <room with the thermostat, appliance, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, island, wardrobe> to Region 2 <room with the thermostat, appliance, wall lamp>?", "options": ["A) Region 1 <room with the casket, island, wardrobe> -> room with the bed, chest drawer, bedside lamp -> room with the office chair, pc tower, fireplace -> Region 2 <room with the thermostat, appliance, wall lamp>", "B) Region 1 <room with the casket, island, wardrobe> -> room with the office chair, pc tower, fireplace -> room with the bed, chest drawer, bedside lamp -> Region 2 <room with the thermostat, appliance, wall lamp>", "C) Region 1 <room with the casket, island, wardrobe> -> room with the office chair, pc tower, fireplace -> Region 2 <room with the thermostat, appliance, wall lamp>", "D) Region 1 <room with the casket, island, wardrobe> -> room with the bed, chest drawer, bedside lamp -> Region 2 <room with the thermostat, appliance, wall lamp>"], "answer": "A) Region 1 <room with the casket, island, wardrobe> -> room with the bed, chest drawer, bedside lamp -> room with the office chair, pc tower, fireplace -> Region 2 <room with the thermostat, appliance, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route30/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the step stool, plant, toilet> to Region 2 <room with the seat, carpet roll, closet door>?", "options": ["A) Region 1 <room with the step stool, plant, toilet> -> Region 2 <room with the seat, carpet roll, closet door>", "B) Region 1 <room with the step stool, plant, toilet> -> room with the dishwasher, microwave, window curtain -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "C) Region 1 <room with the step stool, plant, toilet> -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "D) Region 1 <room with the step stool, plant, toilet> -> room with the support beam, sliding door, smoke detector -> room with the dishwasher, microwave, window curtain -> Region 2 <room with the seat, carpet roll, closet door>"], "answer": "C) Region 1 <room with the step stool, plant, toilet> -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the seat, carpet roll, closet door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the support beam, sliding door, smoke detector> to Region 2 <room with the dishwasher, microwave, window curtain>?", "options": ["A) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the step stool, plant, toilet -> Region 2 <room with the dishwasher, microwave, window curtain>", "B) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the seat, carpet roll, closet door -> Region 2 <room with the dishwasher, microwave, window curtain>", "C) Region 1 <room with the support beam, sliding door, smoke detector> -> Region 2 <room with the dishwasher, microwave, window curtain>", "D) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the step stool, plant, toilet -> room with the seat, carpet roll, closet door -> Region 2 <room with the dishwasher, microwave, window curtain>"], "answer": "B) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the seat, carpet roll, closet door -> Region 2 <room with the dishwasher, microwave, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the step stool, plant, toilet> to Region 2 <room with the dishwasher, microwave, window curtain>?", "options": ["A) Region 1 <room with the step stool, plant, toilet> -> room with the support beam, sliding door, smoke detector -> room with the seat, carpet roll, closet door -> Region 2 <room with the dishwasher, microwave, window curtain>", "B) Region 1 <room with the step stool, plant, toilet> -> Region 2 <room with the dishwasher, microwave, window curtain>", "C) Region 1 <room with the step stool, plant, toilet> -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the dishwasher, microwave, window curtain>", "D) Region 1 <room with the step stool, plant, toilet> -> room with the seat, carpet roll, closet door -> Region 2 <room with the dishwasher, microwave, window curtain>"], "answer": "A) Region 1 <room with the step stool, plant, toilet> -> room with the support beam, sliding door, smoke detector -> room with the seat, carpet roll, closet door -> Region 2 <room with the dishwasher, microwave, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route31/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower bar, shower wall, bathroom towel> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the shower bar, shower wall, bathroom towel> -> room with the curtain rod, flowerpot, wall clock -> room with the dishwasher, fume cupboard, microwave -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the shower bar, shower wall, bathroom towel> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the shower bar, shower wall, bathroom towel> -> room with the dishwasher, fume cupboard, microwave -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the shower bar, shower wall, bathroom towel> -> room with the dishwasher, fume cupboard, microwave -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "B) Region 1 <room with the shower bar, shower wall, bathroom towel> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the dishwasher, fume cupboard, microwave>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the shower bar, shower wall, bathroom towel -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the shower bar, shower wall, bathroom towel -> Region 2 <room with the dishwasher, fume cupboard, microwave>"], "answer": "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower bar, shower wall, bathroom towel> to Region 2 <room with the dishwasher, fume cupboard, microwave>?", "options": ["A) Region 1 <room with the shower bar, shower wall, bathroom towel> -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "B) Region 1 <room with the shower bar, shower wall, bathroom towel> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "C) Region 1 <room with the shower bar, shower wall, bathroom towel> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "D) Region 1 <room with the shower bar, shower wall, bathroom towel> -> room with the thermostat, wall lamp, appliance -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, microwave>"], "answer": "B) Region 1 <room with the shower bar, shower wall, bathroom towel> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route32/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, shower floor, toilet> to Region 2 <room with the dishwasher, fume cupboard, sink>?", "options": ["A) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> room with the wall lamp, painting -> Region 2 <room with the dishwasher, fume cupboard, sink>", "B) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> room with the wall lamp, painting -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, sink>", "C) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> Region 2 <room with the dishwasher, fume cupboard, sink>", "D) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, sink>"], "answer": "D) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, sink>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the wall lamp, painting>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the dishwasher, fume cupboard, sink -> room with the bathroom cabinet, shower floor, toilet -> Region 2 <room with the wall lamp, painting>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the wall lamp, painting>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the bathroom cabinet, shower floor, toilet -> Region 2 <room with the wall lamp, painting>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the wall lamp, painting>"], "answer": "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the wall lamp, painting>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, shower floor, toilet> to Region 2 <room with the wall lamp, painting>?", "options": ["A) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> room with the curtain rod, flowerpot, wall clock -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the wall lamp, painting>", "B) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the wall lamp, painting>", "C) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the wall lamp, painting>", "D) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> Region 2 <room with the wall lamp, painting>"], "answer": "A) Region 1 <room with the bathroom cabinet, shower floor, toilet> -> room with the curtain rod, flowerpot, wall clock -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the wall lamp, painting>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route33/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the step stool, bathroom towel, bathroom cabinet> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> room with the curtain rod, flowerpot, wall clock -> room with the bucket, office chair, fireplace -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> room with the bucket, office chair, fireplace -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "D) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the bucket, office chair, fireplace>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the step stool, bathroom towel, bathroom cabinet -> Region 2 <room with the bucket, office chair, fireplace>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the step stool, bathroom towel, bathroom cabinet -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the bucket, office chair, fireplace>"], "answer": "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the step stool, bathroom towel, bathroom cabinet> to Region 2 <room with the bucket, office chair, fireplace>?", "options": ["A) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "B) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "C) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> room with the thermostat, wall lamp, appliance -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the bucket, office chair, fireplace>", "D) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the bucket, office chair, fireplace>"], "answer": "B) Region 1 <room with the step stool, bathroom towel, bathroom cabinet> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the bucket, office chair, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route34/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sliding door, washing machine, box> to Region 2 <room with the dishwasher, fume cupboard, sink>?", "options": ["A) Region 1 <room with the sliding door, washing machine, box> -> room with the thermostat, appliance, wall lamp -> Region 2 <room with the dishwasher, fume cupboard, sink>", "B) Region 1 <room with the sliding door, washing machine, box> -> room with the thermostat, appliance, wall lamp -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, sink>", "C) Region 1 <room with the sliding door, washing machine, box> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, sink>", "D) Region 1 <room with the sliding door, washing machine, box> -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, appliance, wall lamp -> Region 2 <room with the dishwasher, fume cupboard, sink>"], "answer": "C) Region 1 <room with the sliding door, washing machine, box> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the dishwasher, fume cupboard, sink>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, flowerpot, wall clock> to Region 2 <room with the thermostat, appliance, wall lamp>?", "options": ["A) Region 1 <room with the curtain rod, flowerpot, wall clock> -> Region 2 <room with the thermostat, appliance, wall lamp>", "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the thermostat, appliance, wall lamp>", "C) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the sliding door, washing machine, box -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the thermostat, appliance, wall lamp>", "D) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the sliding door, washing machine, box -> Region 2 <room with the thermostat, appliance, wall lamp>"], "answer": "B) Region 1 <room with the curtain rod, flowerpot, wall clock> -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the thermostat, appliance, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sliding door, washing machine, box> to Region 2 <room with the thermostat, appliance, wall lamp>?", "options": ["A) Region 1 <room with the sliding door, washing machine, box> -> room with the curtain rod, flowerpot, wall clock -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the thermostat, appliance, wall lamp>", "B) Region 1 <room with the sliding door, washing machine, box> -> room with the dishwasher, fume cupboard, sink -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, appliance, wall lamp>", "C) Region 1 <room with the sliding door, washing machine, box> -> Region 2 <room with the thermostat, appliance, wall lamp>", "D) Region 1 <room with the sliding door, washing machine, box> -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the thermostat, appliance, wall lamp>"], "answer": "A) Region 1 <room with the sliding door, washing machine, box> -> room with the curtain rod, flowerpot, wall clock -> room with the dishwasher, fume cupboard, sink -> Region 2 <room with the thermostat, appliance, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route35/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the support beam, sliding door, smoke detector> to Region 2 <room with the bucket, office chair, fireplace>?", "options": ["A) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the dishwasher, fume cupboard, microwave -> room with the seat, carpet roll, closet door -> Region 2 <room with the bucket, office chair, fireplace>", "B) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the seat, carpet roll, closet door -> Region 2 <room with the bucket, office chair, fireplace>", "C) Region 1 <room with the support beam, sliding door, smoke detector> -> Region 2 <room with the bucket, office chair, fireplace>", "D) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the seat, carpet roll, closet door -> room with the dishwasher, fume cupboard, microwave -> Region 2 <room with the bucket, office chair, fireplace>"], "answer": "B) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the seat, carpet roll, closet door -> Region 2 <room with the bucket, office chair, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the seat, carpet roll, closet door> to Region 2 <room with the dishwasher, fume cupboard, microwave>?", "options": ["A) Region 1 <room with the seat, carpet roll, closet door> -> room with the support beam, sliding door, smoke detector -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "B) Region 1 <room with the seat, carpet roll, closet door> -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "C) Region 1 <room with the seat, carpet roll, closet door> -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "D) Region 1 <room with the seat, carpet roll, closet door> -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, microwave>"], "answer": "D) Region 1 <room with the seat, carpet roll, closet door> -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the support beam, sliding door, smoke detector> to Region 2 <room with the dishwasher, fume cupboard, microwave>?", "options": ["A) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the seat, carpet roll, closet door -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "B) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "C) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the seat, carpet roll, closet door -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "D) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the bucket, office chair, fireplace -> room with the seat, carpet roll, closet door -> Region 2 <room with the dishwasher, fume cupboard, microwave>"], "answer": "C) Region 1 <room with the support beam, sliding door, smoke detector> -> room with the seat, carpet roll, closet door -> room with the bucket, office chair, fireplace -> Region 2 <room with the dishwasher, fume cupboard, microwave>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route36/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, clothes container, shelf -> room with the casket, air conditioner, bed -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, air conditioner, bed -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, air conditioner, bed -> room with the storage shelving, clothes container, shelf -> room with the support beam, washing machine, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, air conditioner, bed -> room with the support beam, washing machine, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, clothes container, shelf -> room with the casket, air conditioner, bed -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, clothes container, shelf> to Region 2 <room with the support beam, washing machine, sliding door>?", "options": ["A) Region 1 <room with the storage shelving, clothes container, shelf> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "B) Region 1 <room with the storage shelving, clothes container, shelf> -> room with the curtain rod, flowerpot, wall clock -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the support beam, washing machine, sliding door>", "C) Region 1 <room with the storage shelving, clothes container, shelf> -> room with the curtain rod, flowerpot, wall clock -> room with the casket, air conditioner, bed -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the support beam, washing machine, sliding door>", "D) Region 1 <room with the storage shelving, clothes container, shelf> -> room with the casket, air conditioner, bed -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>"], "answer": "D) Region 1 <room with the storage shelving, clothes container, shelf> -> room with the casket, air conditioner, bed -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the support beam, washing machine, sliding door>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, clothes container, shelf -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, clothes container, shelf -> room with the casket, air conditioner, bed -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, air conditioner, bed -> room with the storage shelving, clothes container, shelf -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, air conditioner, bed -> room with the curtain rod, flowerpot, wall clock -> room with the storage shelving, clothes container, shelf -> Region 2 <room with the support beam, washing machine, sliding door>"], "answer": "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, clothes container, shelf -> room with the casket, air conditioner, bed -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the support beam, washing machine, sliding door>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the support beam, sliding door, smoke detector>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the nightstand, book, air conditioner -> room with the flowerpot, wall tv, firewood holder -> Region 2 <room with the support beam, sliding door, smoke detector>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the decoration, seat, bedside lamp -> Region 2 <room with the support beam, sliding door, smoke detector>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the flowerpot, wall tv, firewood holder -> room with the decoration, seat, bedside lamp -> room with the nightstand, book, air conditioner -> Region 2 <room with the support beam, sliding door, smoke detector>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the decoration, seat, bedside lamp -> room with the nightstand, book, air conditioner -> room with the flowerpot, wall tv, firewood holder -> Region 2 <room with the support beam, sliding door, smoke detector>"], "answer": "A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the nightstand, book, air conditioner -> room with the flowerpot, wall tv, firewood holder -> Region 2 <room with the support beam, sliding door, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bag, storage shelving, hanging clothes> to Region 2 <room with the decoration, seat, bedside lamp>?", "options": ["A) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the nightstand, book, air conditioner -> room with the flowerpot, wall tv, firewood holder -> Region 2 <room with the decoration, seat, bedside lamp>", "B) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the support beam, sliding door, smoke detector -> room with the nightstand, book, air conditioner -> room with the flowerpot, wall tv, firewood holder -> Region 2 <room with the decoration, seat, bedside lamp>", "C) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the support beam, sliding door, smoke detector -> room with the nightstand, book, air conditioner -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the decoration, seat, bedside lamp>", "D) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the nightstand, book, air conditioner -> room with the flowerpot, wall tv, firewood holder -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the decoration, seat, bedside lamp>"], "answer": "D) Region 1 <room with the bag, storage shelving, hanging clothes> -> room with the nightstand, book, air conditioner -> room with the flowerpot, wall tv, firewood holder -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the decoration, seat, bedside lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the decoration, seat, bedside lamp>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the nightstand, book, air conditioner -> room with the bag, storage shelving, hanging clothes -> Region 2 <room with the decoration, seat, bedside lamp>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the nightstand, book, air conditioner -> room with the flowerpot, wall tv, firewood holder -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the decoration, seat, bedside lamp>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the flowerpot, wall tv, firewood holder -> room with the support beam, sliding door, smoke detector -> room with the bag, storage shelving, hanging clothes -> Region 2 <room with the decoration, seat, bedside lamp>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the decoration, seat, bedside lamp>"], "answer": "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, hanging clothes -> room with the nightstand, book, air conditioner -> room with the flowerpot, wall tv, firewood holder -> room with the support beam, sliding door, smoke detector -> Region 2 <room with the decoration, seat, bedside lamp>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, wardrobe, appliance -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, wardrobe, appliance -> room with the thermostat, wall lamp, appliance -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, wardrobe, appliance -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, wardrobe, appliance -> room with the casket, bed, sliding door -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, wardrobe, appliance> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the storage shelving, wardrobe, appliance> -> room with the curtain rod, flowerpot, wall clock -> room with the casket, bed, sliding door -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the storage shelving, wardrobe, appliance> -> room with the bath faucet, bathtub, bath wall -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the storage shelving, wardrobe, appliance> -> room with the curtain rod, flowerpot, wall clock -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the storage shelving, wardrobe, appliance> -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "D) Region 1 <room with the storage shelving, wardrobe, appliance> -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the thermostat, wall lamp, appliance>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the curtain rod, flowerpot, wall clock -> room with the casket, bed, sliding door -> Region 2 <room with the thermostat, wall lamp, appliance>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> room with the storage shelving, wardrobe, appliance -> Region 2 <room with the thermostat, wall lamp, appliance>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, wardrobe, appliance -> Region 2 <room with the thermostat, wall lamp, appliance>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, wardrobe, appliance -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>"], "answer": "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the storage shelving, wardrobe, appliance -> room with the casket, bed, sliding door -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, wall lamp, appliance>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the fume cupboard, microwave, window curtain -> room with the casket, bed, nightstand -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the fume cupboard, microwave, window curtain -> room with the casket, bed, nightstand -> room with the bag, storage shelving, clothes container -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, bed, nightstand -> room with the fume cupboard, microwave, window curtain -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> room with the casket, bed, nightstand -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> room with the casket, bed, nightstand -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bag, storage shelving, clothes container> to Region 2 <room with the fume cupboard, microwave, window curtain>?", "options": ["A) Region 1 <room with the bag, storage shelving, clothes container> -> room with the curtain rod, flowerpot, wall clock -> room with the bath faucet, bathtub, bath wall -> room with the casket, bed, nightstand -> Region 2 <room with the fume cupboard, microwave, window curtain>", "B) Region 1 <room with the bag, storage shelving, clothes container> -> room with the bath faucet, bathtub, bath wall -> room with the casket, bed, nightstand -> Region 2 <room with the fume cupboard, microwave, window curtain>", "C) Region 1 <room with the bag, storage shelving, clothes container> -> room with the casket, bed, nightstand -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>", "D) Region 1 <room with the bag, storage shelving, clothes container> -> room with the curtain rod, flowerpot, wall clock -> room with the casket, bed, nightstand -> Region 2 <room with the fume cupboard, microwave, window curtain>"], "answer": "C) Region 1 <room with the bag, storage shelving, clothes container> -> room with the casket, bed, nightstand -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the fume cupboard, microwave, window curtain>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the curtain rod, flowerpot, wall clock -> room with the bag, storage shelving, clothes container -> room with the casket, bed, nightstand -> Region 2 <room with the fume cupboard, microwave, window curtain>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> Region 2 <room with the fume cupboard, microwave, window curtain>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> room with the casket, bed, nightstand -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the casket, bed, nightstand -> Region 2 <room with the fume cupboard, microwave, window curtain>"], "answer": "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, clothes container -> room with the casket, bed, nightstand -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the fume cupboard, microwave, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the thermostat, appliance, painting>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the nightstand, bed, casket -> room with the curtain rod, flowerpot, wall clock -> room with the bucket, office chair, pc tower -> Region 2 <room with the thermostat, appliance, painting>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, closet storage area -> room with the nightstand, bed, casket -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, appliance, painting>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, closet storage area -> room with the bucket, office chair, pc tower -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, appliance, painting>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, closet storage area -> room with the bucket, office chair, pc tower -> Region 2 <room with the thermostat, appliance, painting>"], "answer": "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, closet storage area -> room with the nightstand, bed, casket -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the thermostat, appliance, painting>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bag, storage shelving, closet storage area> to Region 2 <room with the bucket, office chair, pc tower>?", "options": ["A) Region 1 <room with the bag, storage shelving, closet storage area> -> room with the bath faucet, bathtub, bath wall -> room with the thermostat, appliance, painting -> Region 2 <room with the bucket, office chair, pc tower>", "B) Region 1 <room with the bag, storage shelving, closet storage area> -> room with the curtain rod, flowerpot, wall clock -> room with the nightstand, bed, casket -> room with the bath faucet, bathtub, bath wall -> Region 2 <room with the bucket, office chair, pc tower>", "C) Region 1 <room with the bag, storage shelving, closet storage area> -> room with the thermostat, appliance, painting -> Region 2 <room with the bucket, office chair, pc tower>", "D) Region 1 <room with the bag, storage shelving, closet storage area> -> room with the nightstand, bed, casket -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, appliance, painting -> Region 2 <room with the bucket, office chair, pc tower>"], "answer": "D) Region 1 <room with the bag, storage shelving, closet storage area> -> room with the nightstand, bed, casket -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, appliance, painting -> Region 2 <room with the bucket, office chair, pc tower>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, bathtub, bath wall> to Region 2 <room with the bucket, office chair, pc tower>?", "options": ["A) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the thermostat, appliance, painting -> room with the nightstand, bed, casket -> Region 2 <room with the bucket, office chair, pc tower>", "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, closet storage area -> room with the nightstand, bed, casket -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, appliance, painting -> Region 2 <room with the bucket, office chair, pc tower>", "C) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the nightstand, bed, casket -> room with the curtain rod, flowerpot, wall clock -> room with the bag, storage shelving, closet storage area -> Region 2 <room with the bucket, office chair, pc tower>", "D) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the nightstand, bed, casket -> Region 2 <room with the bucket, office chair, pc tower>"], "answer": "B) Region 1 <room with the bath faucet, bathtub, bath wall> -> room with the bag, storage shelving, closet storage area -> room with the nightstand, bed, casket -> room with the curtain rod, flowerpot, wall clock -> room with the thermostat, appliance, painting -> Region 2 <room with the bucket, office chair, pc tower>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, appliance, box> to Region 2 <room with the curtain rod, flowerpot, wall clock>?", "options": ["A) Region 1 <room with the storage shelving, appliance, box> -> room with the plant, toilet, trash can -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "B) Region 1 <room with the storage shelving, appliance, box> -> room with the casket, sliding door, air conditioner -> room with the plant, toilet, trash can -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "C) Region 1 <room with the storage shelving, appliance, box> -> room with the casket, sliding door, air conditioner -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "D) Region 1 <room with the storage shelving, appliance, box> -> Region 2 <room with the curtain rod, flowerpot, wall clock>"], "answer": "C) Region 1 <room with the storage shelving, appliance, box> -> room with the casket, sliding door, air conditioner -> Region 2 <room with the curtain rod, flowerpot, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the casket, sliding door, air conditioner> to Region 2 <room with the plant, toilet, trash can>?", "options": ["A) Region 1 <room with the casket, sliding door, air conditioner> -> Region 2 <room with the plant, toilet, trash can>", "B) Region 1 <room with the casket, sliding door, air conditioner> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, toilet, trash can>", "C) Region 1 <room with the casket, sliding door, air conditioner> -> room with the curtain rod, flowerpot, wall clock -> room with the storage shelving, appliance, box -> Region 2 <room with the plant, toilet, trash can>", "D) Region 1 <room with the casket, sliding door, air conditioner> -> room with the storage shelving, appliance, box -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, toilet, trash can>"], "answer": "B) Region 1 <room with the casket, sliding door, air conditioner> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, toilet, trash can>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the storage shelving, appliance, box> to Region 2 <room with the plant, toilet, trash can>?", "options": ["A) Region 1 <room with the storage shelving, appliance, box> -> room with the casket, sliding door, air conditioner -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, toilet, trash can>", "B) Region 1 <room with the storage shelving, appliance, box> -> room with the curtain rod, flowerpot, wall clock -> room with the casket, sliding door, air conditioner -> Region 2 <room with the plant, toilet, trash can>", "C) Region 1 <room with the storage shelving, appliance, box> -> room with the casket, sliding door, air conditioner -> Region 2 <room with the plant, toilet, trash can>", "D) Region 1 <room with the storage shelving, appliance, box> -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, toilet, trash can>"], "answer": "A) Region 1 <room with the storage shelving, appliance, box> -> room with the casket, sliding door, air conditioner -> room with the curtain rod, flowerpot, wall clock -> Region 2 <room with the plant, toilet, trash can>", "videos": ["dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/5cdEh9F2hJL/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, tv stand, stool> to Region 2 <room with the faucet, kitchen counter, coffee machine>?", "options": ["A) Region 1 <room with the tv, tv stand, stool> -> room with the stack of jackets, iron board, shelf -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "B) Region 1 <room with the tv, tv stand, stool> -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "C) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "D) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>"], "answer": "D) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the table cloth, baby changing table, parapet> to Region 2 <room with the stack of jackets, iron board, shelf>?", "options": ["A) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "B) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the tv, tv stand, stool -> Region 2 <room with the stack of jackets, iron board, shelf>", "C) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the tv, tv stand, stool -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "D) Region 1 <room with the table cloth, baby changing table, parapet> -> Region 2 <room with the stack of jackets, iron board, shelf>"], "answer": "A) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, tv stand, stool> to Region 2 <room with the stack of jackets, iron board, shelf>?", "options": ["A) Region 1 <room with the tv, tv stand, stool> -> room with the faucet, kitchen counter, coffee machine -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the stack of jackets, iron board, shelf>", "B) Region 1 <room with the tv, tv stand, stool> -> Region 2 <room with the stack of jackets, iron board, shelf>", "C) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the stack of jackets, iron board, shelf>", "D) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>"], "answer": "D) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, tv stand, stool> to Region 2 <room with the faucet, kitchen counter, coffee machine>?", "options": ["A) Region 1 <room with the tv, tv stand, stool> -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "B) Region 1 <room with the tv, tv stand, stool> -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "C) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "D) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>"], "answer": "C) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the table cloth, baby changing table, parapet> to Region 2 <room with the stack of jackets, iron board, shelf>?", "options": ["A) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "B) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the tv, tv stand, stool -> Region 2 <room with the stack of jackets, iron board, shelf>", "C) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the tv, tv stand, stool -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "D) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> room with the tv, tv stand, stool -> Region 2 <room with the stack of jackets, iron board, shelf>"], "answer": "A) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, tv stand, stool> to Region 2 <room with the stack of jackets, iron board, shelf>?", "options": ["A) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the stack of jackets, iron board, shelf>", "B) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "C) Region 1 <room with the tv, tv stand, stool> -> Region 2 <room with the stack of jackets, iron board, shelf>", "D) Region 1 <room with the tv, tv stand, stool> -> room with the faucet, kitchen counter, coffee machine -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the stack of jackets, iron board, shelf>"], "answer": "B) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, door window, stairs> to Region 2 <room with the table cloth, baby changing table, parapet>?", "options": ["A) Region 1 <room with the doormat, door window, stairs> -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the table cloth, baby changing table, parapet>", "B) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the table cloth, baby changing table, parapet>", "C) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> Region 2 <room with the table cloth, baby changing table, parapet>", "D) Region 1 <room with the doormat, door window, stairs> -> room with the faucet, kitchen counter, coffee machine -> room with the tv, tv stand, stool -> Region 2 <room with the table cloth, baby changing table, parapet>"], "answer": "C) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> Region 2 <room with the table cloth, baby changing table, parapet>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, tv stand, stool> to Region 2 <room with the faucet, kitchen counter, coffee machine>?", "options": ["A) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "B) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> room with the doormat, door window, stairs -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "C) Region 1 <room with the tv, tv stand, stool> -> room with the doormat, door window, stairs -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "D) Region 1 <room with the tv, tv stand, stool> -> room with the doormat, door window, stairs -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>"], "answer": "A) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, door window, stairs> to Region 2 <room with the faucet, kitchen counter, coffee machine>?", "options": ["A) Region 1 <room with the doormat, door window, stairs> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "B) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "C) Region 1 <room with the doormat, door window, stairs> -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "D) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> Region 2 <room with the faucet, kitchen counter, coffee machine>"], "answer": "B) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, door window, stairs> to Region 2 <room with the table cloth, baby changing table, parapet>?", "options": ["A) Region 1 <room with the doormat, door window, stairs> -> room with the faucet, kitchen counter, coffee machine -> room with the tv, tv stand, stool -> Region 2 <room with the table cloth, baby changing table, parapet>", "B) Region 1 <room with the doormat, door window, stairs> -> Region 2 <room with the table cloth, baby changing table, parapet>", "C) Region 1 <room with the doormat, door window, stairs> -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the table cloth, baby changing table, parapet>", "D) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> Region 2 <room with the table cloth, baby changing table, parapet>"], "answer": "D) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> Region 2 <room with the table cloth, baby changing table, parapet>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, tv stand, stool> to Region 2 <room with the faucet, kitchen counter, coffee machine>?", "options": ["A) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "B) Region 1 <room with the tv, tv stand, stool> -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "C) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> room with the doormat, door window, stairs -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "D) Region 1 <room with the tv, tv stand, stool> -> room with the doormat, door window, stairs -> Region 2 <room with the faucet, kitchen counter, coffee machine>"], "answer": "A) Region 1 <room with the tv, tv stand, stool> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, door window, stairs> to Region 2 <room with the faucet, kitchen counter, coffee machine>?", "options": ["A) Region 1 <room with the doormat, door window, stairs> -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "B) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "C) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "D) Region 1 <room with the doormat, door window, stairs> -> room with the table cloth, baby changing table, parapet -> room with the tv, tv stand, stool -> Region 2 <room with the faucet, kitchen counter, coffee machine>"], "answer": "B) Region 1 <room with the doormat, door window, stairs> -> room with the tv, tv stand, stool -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, door window, railing> to Region 2 <room with the faucet, kitchen counter, coffee machine>?", "options": ["A) Region 1 <room with the doormat, door window, railing> -> room with the stool, window shade, air conditioner -> room with the stack of jackets, iron board, shelf -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "B) Region 1 <room with the doormat, door window, railing> -> room with the stool, window shade, air conditioner -> room with the table cloth, baby changing table, parapet -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "C) Region 1 <room with the doormat, door window, railing> -> room with the table cloth, baby changing table, parapet -> room with the stack of jackets, iron board, shelf -> room with the stool, window shade, air conditioner -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "D) Region 1 <room with the doormat, door window, railing> -> room with the stool, window shade, air conditioner -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>"], "answer": "D) Region 1 <room with the doormat, door window, railing> -> room with the stool, window shade, air conditioner -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stool, window shade, air conditioner> to Region 2 <room with the stack of jackets, iron board, shelf>?", "options": ["A) Region 1 <room with the stool, window shade, air conditioner> -> room with the doormat, door window, railing -> Region 2 <room with the stack of jackets, iron board, shelf>", "B) Region 1 <room with the stool, window shade, air conditioner> -> room with the faucet, kitchen counter, coffee machine -> room with the doormat, door window, railing -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the stack of jackets, iron board, shelf>", "C) Region 1 <room with the stool, window shade, air conditioner> -> room with the table cloth, baby changing table, parapet -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "D) Region 1 <room with the stool, window shade, air conditioner> -> room with the doormat, door window, railing -> room with the table cloth, baby changing table, parapet -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>"], "answer": "C) Region 1 <room with the stool, window shade, air conditioner> -> room with the table cloth, baby changing table, parapet -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, door window, railing> to Region 2 <room with the stack of jackets, iron board, shelf>?", "options": ["A) Region 1 <room with the doormat, door window, railing> -> room with the stool, window shade, air conditioner -> room with the table cloth, baby changing table, parapet -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "B) Region 1 <room with the doormat, door window, railing> -> room with the stool, window shade, air conditioner -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "C) Region 1 <room with the doormat, door window, railing> -> room with the faucet, kitchen counter, coffee machine -> room with the table cloth, baby changing table, parapet -> room with the stool, window shade, air conditioner -> Region 2 <room with the stack of jackets, iron board, shelf>", "D) Region 1 <room with the doormat, door window, railing> -> room with the stool, window shade, air conditioner -> Region 2 <room with the stack of jackets, iron board, shelf>"], "answer": "A) Region 1 <room with the doormat, door window, railing> -> room with the stool, window shade, air conditioner -> room with the table cloth, baby changing table, parapet -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the table cloth, baby changing table, parapet> to Region 2 <room with the stack of jackets, iron board, shelf>?", "options": ["A) Region 1 <room with the table cloth, baby changing table, parapet> -> Region 2 <room with the stack of jackets, iron board, shelf>", "B) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "C) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the doormat, door window, railing -> Region 2 <room with the stack of jackets, iron board, shelf>", "D) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the doormat, door window, railing -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>"], "answer": "B) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the stack of jackets, iron board, shelf>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, kitchen counter, coffee machine> to Region 2 <room with the faucet, kitchen counter, coffee machine>?", "options": ["A) Region 1 <room with the faucet, kitchen counter, coffee machine> -> room with the table cloth, baby changing table, parapet -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "B) Region 1 <room with the faucet, kitchen counter, coffee machine> -> room with the table cloth, baby changing table, parapet -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "C) Region 1 <room with the faucet, kitchen counter, coffee machine> -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "D) Region 1 <room with the faucet, kitchen counter, coffee machine> -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>"], "answer": "D) Region 1 <room with the faucet, kitchen counter, coffee machine> -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the table cloth, baby changing table, parapet> to Region 2 <room with the faucet, kitchen counter, coffee machine>?", "options": ["A) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the stack of jackets, iron board, shelf -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "B) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "C) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "D) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> Region 2 <room with the faucet, kitchen counter, coffee machine>"], "answer": "C) Region 1 <room with the table cloth, baby changing table, parapet> -> room with the faucet, kitchen counter, coffee machine -> room with the stack of jackets, iron board, shelf -> Region 2 <room with the faucet, kitchen counter, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/6s7QHgap2fW/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the hanging clothes, bed, pillow>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> Region 2 <room with the hanging clothes, bed, pillow>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the barrel, toilet brush, bathroom shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, pillow>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the barrel, toilet brush, bathroom shelf -> Region 2 <room with the hanging clothes, bed, pillow>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, pillow>"], "answer": "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, pillow>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the coffee machine, kitchen island, dishwasher> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the armchair, desk, chest of drawers -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, pillow -> room with the armchair, desk, chest of drawers -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "C) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the hanging clothes, bed, pillow -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "A) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the hanging clothes, bed, pillow>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the barrel, toilet brush, bathroom shelf -> Region 2 <room with the hanging clothes, bed, pillow>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, pillow>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> room with the barrel, toilet brush, bathroom shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, pillow>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the barrel, toilet brush, bathroom shelf -> Region 2 <room with the hanging clothes, bed, pillow>"], "answer": "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, pillow>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the coffee machine, kitchen island, dishwasher> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the armchair, desk, chest of drawers -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "B) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "C) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, kitchen island, dishwasher> to Region 2 <room with the barrel, plunger, bathtub>?", "options": ["A) Region 1 <room with the bowl, kitchen island, dishwasher> -> room with the fan, furniture, pouffe -> Region 2 <room with the barrel, plunger, bathtub>", "B) Region 1 <room with the bowl, kitchen island, dishwasher> -> room with the bed, hanging clothes, pillow -> Region 2 <room with the barrel, plunger, bathtub>", "C) Region 1 <room with the bowl, kitchen island, dishwasher> -> room with the bed, hanging clothes, pillow -> room with the fan, furniture, pouffe -> Region 2 <room with the barrel, plunger, bathtub>", "D) Region 1 <room with the bowl, kitchen island, dishwasher> -> room with the fan, furniture, pouffe -> room with the bed, hanging clothes, pillow -> Region 2 <room with the barrel, plunger, bathtub>"], "answer": "B) Region 1 <room with the bowl, kitchen island, dishwasher> -> room with the bed, hanging clothes, pillow -> Region 2 <room with the barrel, plunger, bathtub>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, hanging clothes, pillow> to Region 2 <room with the bed, hanging clothes, pillow>?", "options": ["A) Region 1 <room with the bed, hanging clothes, pillow> -> room with the bowl, kitchen island, dishwasher -> room with the barrel, plunger, bathtub -> Region 2 <room with the bed, hanging clothes, pillow>", "B) Region 1 <room with the bed, hanging clothes, pillow> -> room with the barrel, plunger, bathtub -> Region 2 <room with the bed, hanging clothes, pillow>", "C) Region 1 <room with the bed, hanging clothes, pillow> -> Region 2 <room with the bed, hanging clothes, pillow>", "D) Region 1 <room with the bed, hanging clothes, pillow> -> room with the bowl, kitchen island, dishwasher -> Region 2 <room with the bed, hanging clothes, pillow>"], "answer": "B) Region 1 <room with the bed, hanging clothes, pillow> -> room with the barrel, plunger, bathtub -> Region 2 <room with the bed, hanging clothes, pillow>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, kitchen island, dishwasher> to Region 2 <room with the bed, hanging clothes, pillow>?", "options": ["A) Region 1 <room with the bowl, kitchen island, dishwasher> -> room with the bed, hanging clothes, pillow -> Region 2 <room with the bed, hanging clothes, pillow>", "B) Region 1 <room with the bowl, kitchen island, dishwasher> -> room with the bed, hanging clothes, pillow -> room with the barrel, plunger, bathtub -> Region 2 <room with the bed, hanging clothes, pillow>", "C) Region 1 <room with the bowl, kitchen island, dishwasher> -> Region 2 <room with the bed, hanging clothes, pillow>", "D) Region 1 <room with the bowl, kitchen island, dishwasher> -> room with the barrel, plunger, bathtub -> room with the bed, hanging clothes, pillow -> Region 2 <room with the bed, hanging clothes, pillow>"], "answer": "B) Region 1 <room with the bowl, kitchen island, dishwasher> -> room with the bed, hanging clothes, pillow -> room with the barrel, plunger, bathtub -> Region 2 <room with the bed, hanging clothes, pillow>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace, ceiling lamp, handrail> to Region 2 <room with the hanging clothes, bed, shelf>?", "options": ["A) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, shelf>", "B) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the barrel, toilet brush, bathroom shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, shelf>", "C) Region 1 <room with the fireplace, ceiling lamp, handrail> -> Region 2 <room with the hanging clothes, bed, shelf>", "D) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the barrel, toilet brush, bathroom shelf -> Region 2 <room with the hanging clothes, bed, shelf>"], "answer": "A) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the coffee machine, kitchen island, dishwasher> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, shelf -> room with the fireplace, ceiling lamp, handrail -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the fireplace, ceiling lamp, handrail -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "D) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace, ceiling lamp, handrail> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the fireplace, ceiling lamp, handrail> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> room with the hanging clothes, bed, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the hanging clothes, bed, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "C) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> room with the hanging clothes, bed, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace, ceiling lamp, handrail> to Region 2 <room with the bed, shelf, lamp>?", "options": ["A) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, shelf, lamp>", "B) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> room with the barrel, toilet brush, bathroom shelf -> Region 2 <room with the bed, shelf, lamp>", "C) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the barrel, toilet brush, bathroom shelf -> Region 2 <room with the bed, shelf, lamp>", "D) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the barrel, toilet brush, bathroom shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, shelf, lamp>"], "answer": "A) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, shelf, lamp>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the coffee machine, kitchen island, dishwasher> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the bed, shelf, lamp -> room with the fireplace, ceiling lamp, handrail -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the fireplace, ceiling lamp, handrail -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the bed, shelf, lamp -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "D) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the bed, shelf, lamp -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace, ceiling lamp, handrail> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the bed, shelf, lamp -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the fireplace, ceiling lamp, handrail> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, shelf, lamp -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "D) Region 1 <room with the fireplace, ceiling lamp, handrail> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, shelf, lamp -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, mirror, curtain rod> to Region 2 <room with the towel ring, bathroom cabinet, countertop>?", "options": ["A) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the towel ring, bathroom cabinet, countertop>", "B) Region 1 <room with the bed, mirror, curtain rod> -> Region 2 <room with the towel ring, bathroom cabinet, countertop>", "C) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the towel ring, bathroom cabinet, countertop>", "D) Region 1 <room with the bed, mirror, curtain rod> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the towel ring, bathroom cabinet, countertop>"], "answer": "A) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the towel ring, bathroom cabinet, countertop>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the coffee machine, kitchen island, dishwasher>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the towel ring, bathroom cabinet, countertop -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> room with the bed, mirror, curtain rod -> room with the towel ring, bathroom cabinet, countertop -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the bed, mirror, curtain rod -> Region 2 <room with the coffee machine, kitchen island, dishwasher>"], "answer": "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the towel ring, bathroom cabinet, countertop -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, mirror, curtain rod> to Region 2 <room with the coffee machine, kitchen island, dishwasher>?", "options": ["A) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the towel ring, bathroom cabinet, countertop -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "B) Region 1 <room with the bed, mirror, curtain rod> -> room with the towel ring, bathroom cabinet, countertop -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "C) Region 1 <room with the bed, mirror, curtain rod> -> room with the towel ring, bathroom cabinet, countertop -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "D) Region 1 <room with the bed, mirror, curtain rod> -> Region 2 <room with the coffee machine, kitchen island, dishwasher>"], "answer": "A) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the towel ring, bathroom cabinet, countertop -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, mirror, curtain rod> to Region 2 <room with the coffee machine, kitchen island, dishwasher>?", "options": ["A) Region 1 <room with the bed, mirror, curtain rod> -> room with the fireplace, handrail, clock -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "B) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "C) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "D) Region 1 <room with the bed, mirror, curtain rod> -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>"], "answer": "B) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the fireplace, handrail, clock>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> room with the bed, mirror, curtain rod -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the fireplace, handrail, clock>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the fireplace, handrail, clock>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> Region 2 <room with the fireplace, handrail, clock>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, mirror, curtain rod -> Region 2 <room with the fireplace, handrail, clock>"], "answer": "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the fireplace, handrail, clock>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, mirror, curtain rod> to Region 2 <room with the fireplace, handrail, clock>?", "options": ["A) Region 1 <room with the bed, mirror, curtain rod> -> Region 2 <room with the fireplace, handrail, clock>", "B) Region 1 <room with the bed, mirror, curtain rod> -> room with the coffee machine, kitchen island, dishwasher -> room with the armchair, desk, chest of drawers -> Region 2 <room with the fireplace, handrail, clock>", "C) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the fireplace, handrail, clock>", "D) Region 1 <room with the bed, mirror, curtain rod> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the fireplace, handrail, clock>"], "answer": "C) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the fireplace, handrail, clock>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, mirror, curtain rod> to Region 2 <room with the fireplace, handrail, clock>?", "options": ["A) Region 1 <room with the bed, mirror, curtain rod> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the fireplace, handrail, clock>", "B) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the fireplace, handrail, clock>", "C) Region 1 <room with the bed, mirror, curtain rod> -> room with the coffee machine, kitchen island, dishwasher -> room with the armchair, desk, chest of drawers -> Region 2 <room with the fireplace, handrail, clock>", "D) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the fireplace, handrail, clock>"], "answer": "D) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the fireplace, handrail, clock>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the coffee machine, kitchen island, dishwasher>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> room with the bed, mirror, curtain rod -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the bed, mirror, curtain rod -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> Region 2 <room with the coffee machine, kitchen island, dishwasher>"], "answer": "C) Region 1 <room with the armchair, desk, chest of drawers> -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, mirror, curtain rod> to Region 2 <room with the coffee machine, kitchen island, dishwasher>?", "options": ["A) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "B) Region 1 <room with the bed, mirror, curtain rod> -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "C) Region 1 <room with the bed, mirror, curtain rod> -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "D) Region 1 <room with the bed, mirror, curtain rod> -> room with the fireplace, handrail, clock -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>"], "answer": "A) Region 1 <room with the bed, mirror, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, rug, curtain rod> to Region 2 <room with the coffee machine, kitchen island, dishwasher>?", "options": ["A) Region 1 <room with the bed, rug, curtain rod> -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "B) Region 1 <room with the bed, rug, curtain rod> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "C) Region 1 <room with the bed, rug, curtain rod> -> room with the bed, pillow, lamp -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "D) Region 1 <room with the bed, rug, curtain rod> -> room with the bed, pillow, lamp -> Region 2 <room with the coffee machine, kitchen island, dishwasher>"], "answer": "B) Region 1 <room with the bed, rug, curtain rod> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the bed, pillow, lamp>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> room with the bed, rug, curtain rod -> Region 2 <room with the bed, pillow, lamp>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the bed, rug, curtain rod -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, lamp>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, lamp>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, rug, curtain rod -> Region 2 <room with the bed, pillow, lamp>"], "answer": "C) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, lamp>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, rug, curtain rod> to Region 2 <room with the bed, pillow, lamp>?", "options": ["A) Region 1 <room with the bed, rug, curtain rod> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, lamp>", "B) Region 1 <room with the bed, rug, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, lamp>", "C) Region 1 <room with the bed, rug, curtain rod> -> Region 2 <room with the bed, pillow, lamp>", "D) Region 1 <room with the bed, rug, curtain rod> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the bed, pillow, lamp>"], "answer": "B) Region 1 <room with the bed, rug, curtain rod> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, lamp>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, mirror, rug> to Region 2 <room with the bed, pillow, shelf>?", "options": ["A) Region 1 <room with the bed, mirror, rug> -> room with the barrel, toilet brush, bathroom shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, shelf>", "B) Region 1 <room with the bed, mirror, rug> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, shelf>", "C) Region 1 <room with the bed, mirror, rug> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, shelf>", "D) Region 1 <room with the bed, mirror, rug> -> room with the armchair, desk, chest of drawers -> room with the barrel, toilet brush, bathroom shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, shelf>"], "answer": "C) Region 1 <room with the bed, mirror, rug> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, mirror, rug -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, mirror, rug -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "A) Region 1 <room with the armchair, desk, chest of drawers> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, mirror, rug> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the bed, mirror, rug> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the bed, mirror, rug> -> room with the bed, pillow, shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the bed, mirror, rug> -> room with the armchair, desk, chest of drawers -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the bed, mirror, rug> -> room with the armchair, desk, chest of drawers -> room with the bed, pillow, shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "A) Region 1 <room with the bed, mirror, rug> -> room with the armchair, desk, chest of drawers -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the towel ring, bathroom cabinet, shower curtain> to Region 2 <room with the fireplace, handrail, clock>?", "options": ["A) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the fireplace, handrail, clock>", "B) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> room with the coffee machine, kitchen island, dishwasher -> room with the armchair, desk, chest of drawers -> Region 2 <room with the fireplace, handrail, clock>", "C) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> Region 2 <room with the fireplace, handrail, clock>", "D) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the fireplace, handrail, clock>"], "answer": "A) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the fireplace, handrail, clock>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the armchair, desk, chest of drawers> to Region 2 <room with the coffee machine, kitchen island, dishwasher>?", "options": ["A) Region 1 <room with the armchair, desk, chest of drawers> -> room with the fireplace, handrail, clock -> room with the towel ring, bathroom cabinet, shower curtain -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "B) Region 1 <room with the armchair, desk, chest of drawers> -> room with the towel ring, bathroom cabinet, shower curtain -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "C) Region 1 <room with the armchair, desk, chest of drawers> -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>"], "answer": "D) Region 1 <room with the armchair, desk, chest of drawers> -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the towel ring, bathroom cabinet, shower curtain> to Region 2 <room with the coffee machine, kitchen island, dishwasher>?", "options": ["A) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "B) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> room with the fireplace, handrail, clock -> room with the armchair, desk, chest of drawers -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "C) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> room with the armchair, desk, chest of drawers -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "D) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>"], "answer": "C) Region 1 <room with the towel ring, bathroom cabinet, shower curtain> -> room with the armchair, desk, chest of drawers -> room with the fireplace, handrail, clock -> Region 2 <room with the coffee machine, kitchen island, dishwasher>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, towel, towel bar> to Region 2 <room with the bed, pillow, shelf>?", "options": ["A) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the barrel, toilet brush, bathroom shelf -> Region 2 <room with the bed, pillow, shelf>", "B) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, shelf>", "C) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the barrel, toilet brush, bathroom shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, shelf>", "D) Region 1 <room with the bathroom cabinet, towel, towel bar> -> Region 2 <room with the bed, pillow, shelf>"], "answer": "B) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the bed, pillow, shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the coffee machine, kitchen island, dishwasher> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the bed, pillow, shelf -> room with the bathroom cabinet, towel, towel bar -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the bathroom cabinet, towel, towel bar -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "B) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, towel, towel bar> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the bed, pillow, shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "A) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> room with the bed, pillow, shelf -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, towel, towel bar> to Region 2 <room with the hanging clothes, bed, pillow>?", "options": ["A) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the barrel, toilet brush, bathroom shelf -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, pillow>", "B) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the barrel, toilet brush, bathroom shelf -> Region 2 <room with the hanging clothes, bed, pillow>", "C) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> room with the barrel, toilet brush, bathroom shelf -> Region 2 <room with the hanging clothes, bed, pillow>", "D) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, pillow>"], "answer": "D) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the hanging clothes, bed, pillow>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the coffee machine, kitchen island, dishwasher> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the bathroom cabinet, towel, towel bar -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, pillow -> room with the bathroom cabinet, towel, towel bar -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "D) Region 1 <room with the coffee machine, kitchen island, dishwasher> -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, towel, towel bar> to Region 2 <room with the barrel, toilet brush, bathroom shelf>?", "options": ["A) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "B) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "C) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "D) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the hanging clothes, bed, pillow -> room with the coffee machine, kitchen island, dishwasher -> Region 2 <room with the barrel, toilet brush, bathroom shelf>"], "answer": "B) Region 1 <room with the bathroom cabinet, towel, towel bar> -> room with the coffee machine, kitchen island, dishwasher -> room with the hanging clothes, bed, pillow -> Region 2 <room with the barrel, toilet brush, bathroom shelf>", "videos": ["dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/BAbdmeyTvMZ/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sensor, rug, stairs> to Region 2 <room with the handbag, bench, vent>?", "options": ["A) Region 1 <room with the sensor, rug, stairs> -> room with the armchair, flower vase, table -> Region 2 <room with the handbag, bench, vent>", "B) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> room with the armchair, flower vase, table -> Region 2 <room with the handbag, bench, vent>", "C) Region 1 <room with the sensor, rug, stairs> -> room with the armchair, flower vase, table -> room with the blanket, security camera, fireplace -> Region 2 <room with the handbag, bench, vent>", "D) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> Region 2 <room with the handbag, bench, vent>"], "answer": "D) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> Region 2 <room with the handbag, bench, vent>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the blanket, security camera, fireplace> to Region 2 <room with the blanket, security camera, fireplace>?", "options": ["A) Region 1 <room with the blanket, security camera, fireplace> -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, security camera, fireplace>", "B) Region 1 <room with the blanket, security camera, fireplace> -> room with the sensor, rug, stairs -> room with the handbag, bench, vent -> Region 2 <room with the blanket, security camera, fireplace>", "C) Region 1 <room with the blanket, security camera, fireplace> -> Region 2 <room with the blanket, security camera, fireplace>", "D) Region 1 <room with the blanket, security camera, fireplace> -> room with the handbag, bench, vent -> Region 2 <room with the blanket, security camera, fireplace>"], "answer": "D) Region 1 <room with the blanket, security camera, fireplace> -> room with the handbag, bench, vent -> Region 2 <room with the blanket, security camera, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sensor, rug, stairs> to Region 2 <room with the blanket, security camera, fireplace>?", "options": ["A) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> Region 2 <room with the blanket, security camera, fireplace>", "B) Region 1 <room with the sensor, rug, stairs> -> room with the handbag, bench, vent -> room with the blanket, security camera, fireplace -> Region 2 <room with the blanket, security camera, fireplace>", "C) Region 1 <room with the sensor, rug, stairs> -> room with the handbag, bench, vent -> Region 2 <room with the blanket, security camera, fireplace>", "D) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> room with the handbag, bench, vent -> Region 2 <room with the blanket, security camera, fireplace>"], "answer": "D) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> room with the handbag, bench, vent -> Region 2 <room with the blanket, security camera, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flower stand, desk, mirror> to Region 2 <room with the balustrade, cabinet>?", "options": ["A) Region 1 <room with the flower stand, desk, mirror> -> room with the sensor, rug, couch -> Region 2 <room with the balustrade, cabinet>", "B) Region 1 <room with the flower stand, desk, mirror> -> room with the sensor, rug, couch -> room with the armchair, table, pillow -> Region 2 <room with the balustrade, cabinet>", "C) Region 1 <room with the flower stand, desk, mirror> -> room with the armchair, table, pillow -> Region 2 <room with the balustrade, cabinet>", "D) Region 1 <room with the flower stand, desk, mirror> -> Region 2 <room with the balustrade, cabinet>"], "answer": "A) Region 1 <room with the flower stand, desk, mirror> -> room with the sensor, rug, couch -> Region 2 <room with the balustrade, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sensor, rug, couch> to Region 2 <room with the sensor, rug, couch>?", "options": ["A) Region 1 <room with the sensor, rug, couch> -> room with the balustrade, cabinet -> Region 2 <room with the sensor, rug, couch>", "B) Region 1 <room with the sensor, rug, couch> -> room with the flower stand, desk, mirror -> Region 2 <room with the sensor, rug, couch>", "C) Region 1 <room with the sensor, rug, couch> -> room with the balustrade, cabinet -> room with the flower stand, desk, mirror -> Region 2 <room with the sensor, rug, couch>", "D) Region 1 <room with the sensor, rug, couch> -> Region 2 <room with the sensor, rug, couch>"], "answer": "A) Region 1 <room with the sensor, rug, couch> -> room with the balustrade, cabinet -> Region 2 <room with the sensor, rug, couch>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flower stand, desk, mirror> to Region 2 <room with the sensor, rug, couch>?", "options": ["A) Region 1 <room with the flower stand, desk, mirror> -> room with the balustrade, cabinet -> room with the sensor, rug, couch -> Region 2 <room with the sensor, rug, couch>", "B) Region 1 <room with the flower stand, desk, mirror> -> room with the sensor, rug, couch -> room with the balustrade, cabinet -> Region 2 <room with the sensor, rug, couch>", "C) Region 1 <room with the flower stand, desk, mirror> -> room with the sensor, rug, couch -> Region 2 <room with the sensor, rug, couch>", "D) Region 1 <room with the flower stand, desk, mirror> -> room with the balustrade, cabinet -> Region 2 <room with the sensor, rug, couch>"], "answer": "B) Region 1 <room with the flower stand, desk, mirror> -> room with the sensor, rug, couch -> room with the balustrade, cabinet -> Region 2 <room with the sensor, rug, couch>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flower stand, security camera, desk> to Region 2 <room with the blanket, fireplace, fireplace wall>?", "options": ["A) Region 1 <room with the flower stand, security camera, desk> -> room with the sensor, rug, stairs -> room with the handbag, bench, vent -> Region 2 <room with the blanket, fireplace, fireplace wall>", "B) Region 1 <room with the flower stand, security camera, desk> -> room with the handbag, bench, vent -> Region 2 <room with the blanket, fireplace, fireplace wall>", "C) Region 1 <room with the flower stand, security camera, desk> -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, fireplace, fireplace wall>", "D) Region 1 <room with the flower stand, security camera, desk> -> room with the handbag, bench, vent -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, fireplace, fireplace wall>"], "answer": "C) Region 1 <room with the flower stand, security camera, desk> -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, fireplace, fireplace wall>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sensor, rug, stairs> to Region 2 <room with the handbag, bench, vent>?", "options": ["A) Region 1 <room with the sensor, rug, stairs> -> room with the flower stand, security camera, desk -> room with the blanket, fireplace, fireplace wall -> Region 2 <room with the handbag, bench, vent>", "B) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, fireplace, fireplace wall -> Region 2 <room with the handbag, bench, vent>", "C) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, fireplace, fireplace wall -> room with the flower stand, security camera, desk -> Region 2 <room with the handbag, bench, vent>", "D) Region 1 <room with the sensor, rug, stairs> -> room with the flower stand, security camera, desk -> Region 2 <room with the handbag, bench, vent>"], "answer": "B) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, fireplace, fireplace wall -> Region 2 <room with the handbag, bench, vent>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flower stand, security camera, desk> to Region 2 <room with the handbag, bench, vent>?", "options": ["A) Region 1 <room with the flower stand, security camera, desk> -> room with the sensor, rug, stairs -> room with the blanket, fireplace, fireplace wall -> Region 2 <room with the handbag, bench, vent>", "B) Region 1 <room with the flower stand, security camera, desk> -> room with the blanket, fireplace, fireplace wall -> Region 2 <room with the handbag, bench, vent>", "C) Region 1 <room with the flower stand, security camera, desk> -> room with the blanket, fireplace, fireplace wall -> room with the sensor, rug, stairs -> Region 2 <room with the handbag, bench, vent>", "D) Region 1 <room with the flower stand, security camera, desk> -> Region 2 <room with the handbag, bench, vent>"], "answer": "A) Region 1 <room with the flower stand, security camera, desk> -> room with the sensor, rug, stairs -> room with the blanket, fireplace, fireplace wall -> Region 2 <room with the handbag, bench, vent>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flower stand, desk, armchair> to Region 2 <room with the blanket, security camera, fireplace>?", "options": ["A) Region 1 <room with the flower stand, desk, armchair> -> room with the rug, stairs, couch -> room with the handbag, bench, vent -> Region 2 <room with the blanket, security camera, fireplace>", "B) Region 1 <room with the flower stand, desk, armchair> -> room with the handbag, bench, vent -> room with the rug, stairs, couch -> Region 2 <room with the blanket, security camera, fireplace>", "C) Region 1 <room with the flower stand, desk, armchair> -> Region 2 <room with the blanket, security camera, fireplace>", "D) Region 1 <room with the flower stand, desk, armchair> -> room with the rug, stairs, couch -> Region 2 <room with the blanket, security camera, fireplace>"], "answer": "D) Region 1 <room with the flower stand, desk, armchair> -> room with the rug, stairs, couch -> Region 2 <room with the blanket, security camera, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rug, stairs, couch> to Region 2 <room with the handbag, bench, vent>?", "options": ["A) Region 1 <room with the rug, stairs, couch> -> room with the flower stand, desk, armchair -> room with the blanket, security camera, fireplace -> Region 2 <room with the handbag, bench, vent>", "B) Region 1 <room with the rug, stairs, couch> -> room with the blanket, security camera, fireplace -> Region 2 <room with the handbag, bench, vent>", "C) Region 1 <room with the rug, stairs, couch> -> room with the flower stand, desk, armchair -> Region 2 <room with the handbag, bench, vent>", "D) Region 1 <room with the rug, stairs, couch> -> Region 2 <room with the handbag, bench, vent>"], "answer": "B) Region 1 <room with the rug, stairs, couch> -> room with the blanket, security camera, fireplace -> Region 2 <room with the handbag, bench, vent>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flower stand, desk, armchair> to Region 2 <room with the handbag, bench, vent>?", "options": ["A) Region 1 <room with the flower stand, desk, armchair> -> room with the rug, stairs, couch -> Region 2 <room with the handbag, bench, vent>", "B) Region 1 <room with the flower stand, desk, armchair> -> Region 2 <room with the handbag, bench, vent>", "C) Region 1 <room with the flower stand, desk, armchair> -> room with the rug, stairs, couch -> room with the blanket, security camera, fireplace -> Region 2 <room with the handbag, bench, vent>", "D) Region 1 <room with the flower stand, desk, armchair> -> room with the blanket, security camera, fireplace -> Region 2 <room with the handbag, bench, vent>"], "answer": "C) Region 1 <room with the flower stand, desk, armchair> -> room with the rug, stairs, couch -> room with the blanket, security camera, fireplace -> Region 2 <room with the handbag, bench, vent>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flower stand, desk, armchair> to Region 2 <room with the bowl, oven and stove, microwave>?", "options": ["A) Region 1 <room with the flower stand, desk, armchair> -> room with the blanket, fireplace, fireplace wall -> room with the sensor, rug, stairs -> Region 2 <room with the bowl, oven and stove, microwave>", "B) Region 1 <room with the flower stand, desk, armchair> -> room with the sensor, rug, stairs -> Region 2 <room with the bowl, oven and stove, microwave>", "C) Region 1 <room with the flower stand, desk, armchair> -> room with the blanket, fireplace, fireplace wall -> Region 2 <room with the bowl, oven and stove, microwave>", "D) Region 1 <room with the flower stand, desk, armchair> -> room with the sensor, rug, stairs -> room with the blanket, fireplace, fireplace wall -> Region 2 <room with the bowl, oven and stove, microwave>"], "answer": "B) Region 1 <room with the flower stand, desk, armchair> -> room with the sensor, rug, stairs -> Region 2 <room with the bowl, oven and stove, microwave>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sensor, rug, stairs> to Region 2 <room with the blanket, fireplace, fireplace wall>?", "options": ["A) Region 1 <room with the sensor, rug, stairs> -> room with the bowl, oven and stove, microwave -> room with the flower stand, desk, armchair -> Region 2 <room with the blanket, fireplace, fireplace wall>", "B) Region 1 <room with the sensor, rug, stairs> -> room with the bowl, oven and stove, microwave -> Region 2 <room with the blanket, fireplace, fireplace wall>", "C) Region 1 <room with the sensor, rug, stairs> -> room with the flower stand, desk, armchair -> room with the bowl, oven and stove, microwave -> Region 2 <room with the blanket, fireplace, fireplace wall>", "D) Region 1 <room with the sensor, rug, stairs> -> Region 2 <room with the blanket, fireplace, fireplace wall>"], "answer": "B) Region 1 <room with the sensor, rug, stairs> -> room with the bowl, oven and stove, microwave -> Region 2 <room with the blanket, fireplace, fireplace wall>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flower stand, desk, armchair> to Region 2 <room with the blanket, fireplace, fireplace wall>?", "options": ["A) Region 1 <room with the flower stand, desk, armchair> -> room with the bowl, oven and stove, microwave -> Region 2 <room with the blanket, fireplace, fireplace wall>", "B) Region 1 <room with the flower stand, desk, armchair> -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, fireplace, fireplace wall>", "C) Region 1 <room with the flower stand, desk, armchair> -> room with the sensor, rug, stairs -> room with the bowl, oven and stove, microwave -> Region 2 <room with the blanket, fireplace, fireplace wall>", "D) Region 1 <room with the flower stand, desk, armchair> -> room with the bowl, oven and stove, microwave -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, fireplace, fireplace wall>"], "answer": "C) Region 1 <room with the flower stand, desk, armchair> -> room with the sensor, rug, stairs -> room with the bowl, oven and stove, microwave -> Region 2 <room with the blanket, fireplace, fireplace wall>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the basket, balustrade> to Region 2 <room with the blanket, security camera, fireplace>?", "options": ["A) Region 1 <room with the basket, balustrade> -> room with the sensor, rug, stairs -> room with the bench, handbag, vent -> Region 2 <room with the blanket, security camera, fireplace>", "B) Region 1 <room with the basket, balustrade> -> Region 2 <room with the blanket, security camera, fireplace>", "C) Region 1 <room with the basket, balustrade> -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, security camera, fireplace>", "D) Region 1 <room with the basket, balustrade> -> room with the bench, handbag, vent -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, security camera, fireplace>"], "answer": "C) Region 1 <room with the basket, balustrade> -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, security camera, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sensor, rug, stairs> to Region 2 <room with the bench, handbag, vent>?", "options": ["A) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> room with the basket, balustrade -> Region 2 <room with the bench, handbag, vent>", "B) Region 1 <room with the sensor, rug, stairs> -> Region 2 <room with the bench, handbag, vent>", "C) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> Region 2 <room with the bench, handbag, vent>", "D) Region 1 <room with the sensor, rug, stairs> -> room with the basket, balustrade -> room with the blanket, security camera, fireplace -> Region 2 <room with the bench, handbag, vent>"], "answer": "C) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> Region 2 <room with the bench, handbag, vent>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the basket, balustrade> to Region 2 <room with the bench, handbag, vent>?", "options": ["A) Region 1 <room with the basket, balustrade> -> room with the sensor, rug, stairs -> Region 2 <room with the bench, handbag, vent>", "B) Region 1 <room with the basket, balustrade> -> room with the sensor, rug, stairs -> room with the blanket, security camera, fireplace -> Region 2 <room with the bench, handbag, vent>", "C) Region 1 <room with the basket, balustrade> -> room with the blanket, security camera, fireplace -> room with the sensor, rug, stairs -> Region 2 <room with the bench, handbag, vent>", "D) Region 1 <room with the basket, balustrade> -> Region 2 <room with the bench, handbag, vent>"], "answer": "B) Region 1 <room with the basket, balustrade> -> room with the sensor, rug, stairs -> room with the blanket, security camera, fireplace -> Region 2 <room with the bench, handbag, vent>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the basket, balustrade, washing machine> to Region 2 <room with the blanket, security camera, fireplace>?", "options": ["A) Region 1 <room with the basket, balustrade, washing machine> -> Region 2 <room with the blanket, security camera, fireplace>", "B) Region 1 <room with the basket, balustrade, washing machine> -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, security camera, fireplace>", "C) Region 1 <room with the basket, balustrade, washing machine> -> room with the bowl, oven and stove, ornament -> Region 2 <room with the blanket, security camera, fireplace>", "D) Region 1 <room with the basket, balustrade, washing machine> -> room with the bowl, oven and stove, ornament -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, security camera, fireplace>"], "answer": "B) Region 1 <room with the basket, balustrade, washing machine> -> room with the sensor, rug, stairs -> Region 2 <room with the blanket, security camera, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sensor, rug, stairs> to Region 2 <room with the bowl, oven and stove, ornament>?", "options": ["A) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> Region 2 <room with the bowl, oven and stove, ornament>", "B) Region 1 <room with the sensor, rug, stairs> -> room with the basket, balustrade, washing machine -> Region 2 <room with the bowl, oven and stove, ornament>", "C) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> room with the basket, balustrade, washing machine -> Region 2 <room with the bowl, oven and stove, ornament>", "D) Region 1 <room with the sensor, rug, stairs> -> room with the basket, balustrade, washing machine -> room with the blanket, security camera, fireplace -> Region 2 <room with the bowl, oven and stove, ornament>"], "answer": "A) Region 1 <room with the sensor, rug, stairs> -> room with the blanket, security camera, fireplace -> Region 2 <room with the bowl, oven and stove, ornament>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the basket, balustrade, washing machine> to Region 2 <room with the bowl, oven and stove, ornament>?", "options": ["A) Region 1 <room with the basket, balustrade, washing machine> -> room with the blanket, security camera, fireplace -> room with the sensor, rug, stairs -> Region 2 <room with the bowl, oven and stove, ornament>", "B) Region 1 <room with the basket, balustrade, washing machine> -> Region 2 <room with the bowl, oven and stove, ornament>", "C) Region 1 <room with the basket, balustrade, washing machine> -> room with the sensor, rug, stairs -> room with the blanket, security camera, fireplace -> Region 2 <room with the bowl, oven and stove, ornament>", "D) Region 1 <room with the basket, balustrade, washing machine> -> room with the sensor, rug, stairs -> Region 2 <room with the bowl, oven and stove, ornament>"], "answer": "C) Region 1 <room with the basket, balustrade, washing machine> -> room with the sensor, rug, stairs -> room with the blanket, security camera, fireplace -> Region 2 <room with the bowl, oven and stove, ornament>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sensor, rug, stairs> to Region 2 <room with the blanket, security camera, fireplace>?", "options": ["A) None", "B) Region 1 <room with the sensor, rug, stairs> -> room with the bowl, oven and stove, microwave -> Region 2 <room with the blanket, security camera, fireplace>", "C) None", "D) None"], "answer": "B) Region 1 <room with the sensor, rug, stairs> -> room with the bowl, oven and stove, microwave -> Region 2 <room with the blanket, security camera, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the blanket, security camera, fireplace> to Region 2 <room with the sensor, rug, stairs>?", "options": ["A) Region 1 <room with the blanket, security camera, fireplace> -> room with the bowl, oven and stove, microwave -> Region 2 <room with the sensor, rug, stairs>", "B) None", "C) None", "D) Region 1 <room with the blanket, security camera, fireplace> -> Region 2 <room with the sensor, rug, stairs>"], "answer": "A) Region 1 <room with the blanket, security camera, fireplace> -> room with the bowl, oven and stove, microwave -> Region 2 <room with the sensor, rug, stairs>", "videos": ["dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/CrMo8WxCyVb/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, towel bar, towel> to Region 2 <room with the bathroom cabinet, bathtub, toilet>?", "options": ["A) Region 1 <room with the wardrobe, towel bar, towel> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the cabinet, lamp, book -> Region 2 <room with the bathroom cabinet, bathtub, toilet>", "B) Region 1 <room with the wardrobe, towel bar, towel> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the bathroom cabinet, bathtub, toilet>", "C) Region 1 <room with the wardrobe, towel bar, towel> -> room with the cabinet, lamp, book -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the bathroom cabinet, bathtub, toilet>", "D) Region 1 <room with the wardrobe, towel bar, towel> -> room with the cabinet, lamp, book -> Region 2 <room with the bathroom cabinet, bathtub, toilet>"], "answer": "D) Region 1 <room with the wardrobe, towel bar, towel> -> room with the cabinet, lamp, book -> Region 2 <room with the bathroom cabinet, bathtub, toilet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, lamp, book> to Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>?", "options": ["A) Region 1 <room with the cabinet, lamp, book> -> room with the wardrobe, towel bar, towel -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "B) Region 1 <room with the cabinet, lamp, book> -> room with the bathroom cabinet, bathtub, toilet -> room with the wardrobe, towel bar, towel -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "C) Region 1 <room with the cabinet, lamp, book> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "D) Region 1 <room with the cabinet, lamp, book> -> room with the wardrobe, towel bar, towel -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>"], "answer": "C) Region 1 <room with the cabinet, lamp, book> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, towel bar, towel> to Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>?", "options": ["A) Region 1 <room with the wardrobe, towel bar, towel> -> room with the cabinet, lamp, book -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "B) Region 1 <room with the wardrobe, towel bar, towel> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "C) Region 1 <room with the wardrobe, towel bar, towel> -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "D) Region 1 <room with the wardrobe, towel bar, towel> -> room with the cabinet, lamp, book -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>"], "answer": "A) Region 1 <room with the wardrobe, towel bar, towel> -> room with the cabinet, lamp, book -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, towel, towel bar> to Region 2 <room with the bathroom cabinet, bathtub, toilet>?", "options": ["A) Region 1 <room with the wardrobe, towel, towel bar> -> Region 2 <room with the bathroom cabinet, bathtub, toilet>", "B) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> room with the ceiling duct, ceiling lamp, fire alarm -> Region 2 <room with the bathroom cabinet, bathtub, toilet>", "C) Region 1 <room with the wardrobe, towel, towel bar> -> room with the ceiling duct, ceiling lamp, fire alarm -> room with the book, cabinet, fan -> Region 2 <room with the bathroom cabinet, bathtub, toilet>", "D) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> Region 2 <room with the bathroom cabinet, bathtub, toilet>"], "answer": "D) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> Region 2 <room with the bathroom cabinet, bathtub, toilet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the book, cabinet, fan> to Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>?", "options": ["A) Region 1 <room with the book, cabinet, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "B) Region 1 <room with the book, cabinet, fan> -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "C) Region 1 <room with the book, cabinet, fan> -> room with the wardrobe, towel, towel bar -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "D) Region 1 <room with the book, cabinet, fan> -> room with the bathroom cabinet, bathtub, toilet -> room with the wardrobe, towel, towel bar -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>"], "answer": "A) Region 1 <room with the book, cabinet, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, towel, towel bar> to Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>?", "options": ["A) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "B) Region 1 <room with the wardrobe, towel, towel bar> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "C) Region 1 <room with the wardrobe, towel, towel bar> -> room with the bathroom cabinet, bathtub, toilet -> room with the book, cabinet, fan -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "D) Region 1 <room with the wardrobe, towel, towel bar> -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>"], "answer": "A) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> room with the shelf, lamp, fire alarm -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the shelf, lamp, fire alarm -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "C) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, mirror, bathtub -> room with the shelf, lamp, fire alarm -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "D) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>"], "answer": "D) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, mirror, bathtub> to Region 2 <room with the shelf, lamp, fire alarm>?", "options": ["A) Region 1 <room with the bathroom cabinet, mirror, bathtub> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the shelf, lamp, fire alarm>", "B) Region 1 <room with the bathroom cabinet, mirror, bathtub> -> room with the cabinet, bed, fan -> Region 2 <room with the shelf, lamp, fire alarm>", "C) Region 1 <room with the bathroom cabinet, mirror, bathtub> -> room with the cabinet, bed, fan -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the shelf, lamp, fire alarm>", "D) Region 1 <room with the bathroom cabinet, mirror, bathtub> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the cabinet, bed, fan -> Region 2 <room with the shelf, lamp, fire alarm>"], "answer": "A) Region 1 <room with the bathroom cabinet, mirror, bathtub> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the shelf, lamp, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the shelf, lamp, fire alarm>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the shelf, lamp, fire alarm>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, mirror, bathtub -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the shelf, lamp, fire alarm>", "C) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the shelf, lamp, fire alarm>", "D) Region 1 <room with the cabinet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the shelf, lamp, fire alarm>"], "answer": "B) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, mirror, bathtub -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the shelf, lamp, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> room with the rack, carpet, lamp -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> room with the rack, carpet, lamp -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "C) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "D) Region 1 <room with the cabinet, bed, fan> -> room with the rack, carpet, lamp -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>"], "answer": "C) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, bathtub, toilet> to Region 2 <room with the rack, carpet, lamp>?", "options": ["A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the rack, carpet, lamp>", "B) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the cabinet, bed, fan -> Region 2 <room with the rack, carpet, lamp>", "C) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> Region 2 <room with the rack, carpet, lamp>", "D) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the cabinet, bed, fan -> Region 2 <room with the rack, carpet, lamp>"], "answer": "A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the rack, carpet, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the rack, carpet, lamp>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> Region 2 <room with the rack, carpet, lamp>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the rack, carpet, lamp>", "C) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the rack, carpet, lamp>", "D) Region 1 <room with the cabinet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the rack, carpet, lamp>"], "answer": "C) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the rack, carpet, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> room with the lamp, blanket, step -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "C) Region 1 <room with the cabinet, bed, fan> -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "D) Region 1 <room with the cabinet, bed, fan> -> room with the lamp, blanket, step -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>"], "answer": "B) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, bathtub, toilet> to Region 2 <room with the lamp, blanket, step>?", "options": ["A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the lamp, blanket, step>", "B) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the cabinet, bed, fan -> Region 2 <room with the lamp, blanket, step>", "C) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the cabinet, bed, fan -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the lamp, blanket, step>", "D) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> Region 2 <room with the lamp, blanket, step>"], "answer": "A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the lamp, blanket, step>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the lamp, blanket, step>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the lamp, blanket, step>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the lamp, blanket, step>", "C) Region 1 <room with the cabinet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the lamp, blanket, step>", "D) Region 1 <room with the cabinet, bed, fan> -> Region 2 <room with the lamp, blanket, step>"], "answer": "A) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the lamp, blanket, step>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> room with the dining table, ceiling duct, podium -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the dining table, ceiling duct, podium -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "C) Region 1 <room with the cabinet, bed, fan> -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "D) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>"], "answer": "D) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, bathtub, toilet> to Region 2 <room with the dining table, ceiling duct, podium>?", "options": ["A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the cabinet, bed, fan -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, ceiling duct, podium>", "B) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the cabinet, bed, fan -> Region 2 <room with the dining table, ceiling duct, podium>", "C) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, ceiling duct, podium>", "D) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the cabinet, bed, fan -> Region 2 <room with the dining table, ceiling duct, podium>"], "answer": "C) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, ceiling duct, podium>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the dining table, ceiling duct, podium>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the dining table, ceiling duct, podium>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, ceiling duct, podium>", "C) Region 1 <room with the cabinet, bed, fan> -> Region 2 <room with the dining table, ceiling duct, podium>", "D) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the dining table, ceiling duct, podium>"], "answer": "B) Region 1 <room with the cabinet, bed, fan> -> room with the bathroom cabinet, bathtub, toilet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, ceiling duct, podium>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route13/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen counter, kitchen extractor, bowl> to Region 2 <room with the desk, wall panel, desk chair>?", "options": ["A) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the rack, lamp, carpet -> room with the ceiling duct, podium, dining table -> Region 2 <room with the desk, wall panel, desk chair>", "B) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the rack, lamp, carpet -> Region 2 <room with the desk, wall panel, desk chair>", "C) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the ceiling duct, podium, dining table -> Region 2 <room with the desk, wall panel, desk chair>", "D) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the ceiling duct, podium, dining table -> room with the rack, lamp, carpet -> Region 2 <room with the desk, wall panel, desk chair>"], "answer": "C) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the ceiling duct, podium, dining table -> Region 2 <room with the desk, wall panel, desk chair>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling duct, podium, dining table> to Region 2 <room with the ceiling duct, podium, dining table>?", "options": ["A) Region 1 <room with the ceiling duct, podium, dining table> -> room with the desk, wall panel, desk chair -> Region 2 <room with the ceiling duct, podium, dining table>", "B) Region 1 <room with the ceiling duct, podium, dining table> -> room with the desk, wall panel, desk chair -> room with the kitchen counter, kitchen extractor, bowl -> Region 2 <room with the ceiling duct, podium, dining table>", "C) Region 1 <room with the ceiling duct, podium, dining table> -> room with the kitchen counter, kitchen extractor, bowl -> room with the desk, wall panel, desk chair -> Region 2 <room with the ceiling duct, podium, dining table>", "D) Region 1 <room with the ceiling duct, podium, dining table> -> room with the kitchen counter, kitchen extractor, bowl -> Region 2 <room with the ceiling duct, podium, dining table>"], "answer": "A) Region 1 <room with the ceiling duct, podium, dining table> -> room with the desk, wall panel, desk chair -> Region 2 <room with the ceiling duct, podium, dining table>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen counter, kitchen extractor, bowl> to Region 2 <room with the ceiling duct, podium, dining table>?", "options": ["A) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the ceiling duct, podium, dining table -> room with the desk, wall panel, desk chair -> Region 2 <room with the ceiling duct, podium, dining table>", "B) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the desk, wall panel, desk chair -> room with the ceiling duct, podium, dining table -> Region 2 <room with the ceiling duct, podium, dining table>", "C) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the ceiling duct, podium, dining table -> Region 2 <room with the ceiling duct, podium, dining table>", "D) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> Region 2 <room with the ceiling duct, podium, dining table>"], "answer": "A) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the ceiling duct, podium, dining table -> room with the desk, wall panel, desk chair -> Region 2 <room with the ceiling duct, podium, dining table>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route15/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, bathtub, toilet> to Region 2 <room with the bed, shelf, lamp>?", "options": ["A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the bed, shelf, lamp>", "B) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the ceiling duct, fire alarm, ceiling lamp -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the bed, shelf, lamp>", "C) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> Region 2 <room with the bed, shelf, lamp>", "D) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the bed, shelf, lamp>"], "answer": "A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the bed, shelf, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> to Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>?", "options": ["A) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "B) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the bed, shelf, lamp -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "C) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "D) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the bed, shelf, lamp -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>"], "answer": "D) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the bed, shelf, lamp -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, bathtub, toilet> to Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>?", "options": ["A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the bed, shelf, lamp -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "B) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "C) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the bed, shelf, lamp -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "D) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>"], "answer": "A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the bed, shelf, lamp -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route16/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> to Region 2 <room with the bed, lamp, fan>?", "options": ["A) None", "B) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the rack, carpet, wall panel -> Region 2 <room with the bed, lamp, fan>", "C) None", "D) None"], "answer": "B) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the rack, carpet, wall panel -> Region 2 <room with the bed, lamp, fan>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> to Region 2 <room with the dining table, wall lamp, ceiling duct>?", "options": ["A) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "B) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "C) None", "D) None"], "answer": "A) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route18/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> to Region 2 <room with the desk, desk chair, carpet>?", "options": ["A) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> Region 2 <room with the desk, desk chair, carpet>", "B) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the dining table, ceiling duct, wall lamp -> Region 2 <room with the desk, desk chair, carpet>", "C) None", "D) None"], "answer": "B) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the dining table, ceiling duct, wall lamp -> Region 2 <room with the desk, desk chair, carpet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route19/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, towel, towel bar> to Region 2 <room with the bathroom cabinet, mirror, bathtub>?", "options": ["A) Region 1 <room with the wardrobe, towel, towel bar> -> room with the ceiling duct, ceiling lamp, fire alarm -> room with the book, cabinet, fan -> Region 2 <room with the bathroom cabinet, mirror, bathtub>", "B) Region 1 <room with the wardrobe, towel, towel bar> -> room with the ceiling duct, ceiling lamp, fire alarm -> Region 2 <room with the bathroom cabinet, mirror, bathtub>", "C) Region 1 <room with the wardrobe, towel, towel bar> -> Region 2 <room with the bathroom cabinet, mirror, bathtub>", "D) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> Region 2 <room with the bathroom cabinet, mirror, bathtub>"], "answer": "D) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> Region 2 <room with the bathroom cabinet, mirror, bathtub>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the book, cabinet, fan> to Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>?", "options": ["A) Region 1 <room with the book, cabinet, fan> -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "B) Region 1 <room with the book, cabinet, fan> -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "C) Region 1 <room with the book, cabinet, fan> -> room with the bathroom cabinet, mirror, bathtub -> room with the wardrobe, towel, towel bar -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "D) Region 1 <room with the book, cabinet, fan> -> room with the wardrobe, towel, towel bar -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>"], "answer": "A) Region 1 <room with the book, cabinet, fan> -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, towel, towel bar> to Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>?", "options": ["A) Region 1 <room with the wardrobe, towel, towel bar> -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "B) Region 1 <room with the wardrobe, towel, towel bar> -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "C) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "D) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>"], "answer": "D) Region 1 <room with the wardrobe, towel, towel bar> -> room with the book, cabinet, fan -> room with the bathroom cabinet, mirror, bathtub -> Region 2 <room with the ceiling duct, ceiling lamp, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen counter, kitchen extractor, bowl> to Region 2 <room with the desk, desk chair, carpet>?", "options": ["A) None", "B) None", "C) None", "D) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the podium, dining table, ceiling duct -> Region 2 <room with the desk, desk chair, carpet>"], "answer": "D) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the podium, dining table, ceiling duct -> Region 2 <room with the desk, desk chair, carpet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> to Region 2 <room with the blanket, step, fireplace>?", "options": ["A) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the dining table, wall lamp, ceiling duct -> Region 2 <room with the blanket, step, fireplace>", "B) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the blanket, step, fireplace>", "C) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the dining table, wall lamp, ceiling duct -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the blanket, step, fireplace>", "D) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the dining table, wall lamp, ceiling duct -> Region 2 <room with the blanket, step, fireplace>"], "answer": "B) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the blanket, step, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> to Region 2 <room with the dining table, wall lamp, ceiling duct>?", "options": ["A) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "B) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "C) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the ceiling duct, fire alarm, ceiling lamp -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "D) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the blanket, step, fireplace -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the dining table, wall lamp, ceiling duct>"], "answer": "B) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> to Region 2 <room with the dining table, wall lamp, ceiling duct>?", "options": ["A) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "B) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "C) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "D) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> Region 2 <room with the dining table, wall lamp, ceiling duct>"], "answer": "C) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> to Region 2 <room with the dining table, podium, ceiling duct>?", "options": ["A) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> Region 2 <room with the dining table, podium, ceiling duct>", "B) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the blanket, fireplace, fireplace wall -> room with the kitchen counter, kitchen extractor, bowl -> Region 2 <room with the dining table, podium, ceiling duct>", "C) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen extractor, bowl -> room with the blanket, fireplace, fireplace wall -> Region 2 <room with the dining table, podium, ceiling duct>", "D) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen extractor, bowl -> Region 2 <room with the dining table, podium, ceiling duct>"], "answer": "D) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen extractor, bowl -> Region 2 <room with the dining table, podium, ceiling duct>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen counter, kitchen extractor, bowl> to Region 2 <room with the blanket, fireplace, fireplace wall>?", "options": ["A) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the dining table, podium, ceiling duct -> Region 2 <room with the blanket, fireplace, fireplace wall>", "B) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the dining table, podium, ceiling duct -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the blanket, fireplace, fireplace wall>", "C) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the ceiling duct, fire alarm, ceiling lamp -> room with the dining table, podium, ceiling duct -> Region 2 <room with the blanket, fireplace, fireplace wall>", "D) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> Region 2 <room with the blanket, fireplace, fireplace wall>"], "answer": "A) Region 1 <room with the kitchen counter, kitchen extractor, bowl> -> room with the dining table, podium, ceiling duct -> Region 2 <room with the blanket, fireplace, fireplace wall>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> to Region 2 <room with the blanket, fireplace, fireplace wall>?", "options": ["A) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the dining table, podium, ceiling duct -> Region 2 <room with the blanket, fireplace, fireplace wall>", "B) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> Region 2 <room with the blanket, fireplace, fireplace wall>", "C) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen extractor, bowl -> room with the dining table, podium, ceiling duct -> Region 2 <room with the blanket, fireplace, fireplace wall>", "D) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the dining table, podium, ceiling duct -> room with the kitchen counter, kitchen extractor, bowl -> Region 2 <room with the blanket, fireplace, fireplace wall>"], "answer": "C) Region 1 <room with the ceiling duct, fire alarm, ceiling lamp> -> room with the kitchen counter, kitchen extractor, bowl -> room with the dining table, podium, ceiling duct -> Region 2 <room with the blanket, fireplace, fireplace wall>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route22/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> to Region 2 <room with the desk, desk chair, carpet>?", "options": ["A) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the ceiling duct, dining table, wall lamp -> Region 2 <room with the desk, desk chair, carpet>", "B) None", "C) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> Region 2 <room with the desk, desk chair, carpet>", "D) None"], "answer": "A) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the ceiling duct, dining table, wall lamp -> Region 2 <room with the desk, desk chair, carpet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route23/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, shelf, fan> to Region 2 <room with the lamp, blanket, step>?", "options": ["A) Region 1 <room with the bed, shelf, fan> -> Region 2 <room with the lamp, blanket, step>", "B) Region 1 <room with the bed, shelf, fan> -> room with the dining table, ceiling duct, podium -> Region 2 <room with the lamp, blanket, step>", "C) Region 1 <room with the bed, shelf, fan> -> room with the cabinet, kitchen counter, kitchen countertop item -> room with the dining table, ceiling duct, podium -> Region 2 <room with the lamp, blanket, step>", "D) Region 1 <room with the bed, shelf, fan> -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the lamp, blanket, step>"], "answer": "D) Region 1 <room with the bed, shelf, fan> -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the lamp, blanket, step>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> to Region 2 <room with the dining table, ceiling duct, podium>?", "options": ["A) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the bed, shelf, fan -> Region 2 <room with the dining table, ceiling duct, podium>", "B) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the lamp, blanket, step -> Region 2 <room with the dining table, ceiling duct, podium>", "C) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the bed, shelf, fan -> room with the lamp, blanket, step -> Region 2 <room with the dining table, ceiling duct, podium>", "D) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> Region 2 <room with the dining table, ceiling duct, podium>"], "answer": "B) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the lamp, blanket, step -> Region 2 <room with the dining table, ceiling duct, podium>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, shelf, fan> to Region 2 <room with the dining table, ceiling duct, podium>?", "options": ["A) Region 1 <room with the bed, shelf, fan> -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the dining table, ceiling duct, podium>", "B) Region 1 <room with the bed, shelf, fan> -> room with the lamp, blanket, step -> Region 2 <room with the dining table, ceiling duct, podium>", "C) Region 1 <room with the bed, shelf, fan> -> Region 2 <room with the dining table, ceiling duct, podium>", "D) Region 1 <room with the bed, shelf, fan> -> room with the cabinet, kitchen counter, kitchen countertop item -> room with the lamp, blanket, step -> Region 2 <room with the dining table, ceiling duct, podium>"], "answer": "D) Region 1 <room with the bed, shelf, fan> -> room with the cabinet, kitchen counter, kitchen countertop item -> room with the lamp, blanket, step -> Region 2 <room with the dining table, ceiling duct, podium>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, fire alarm, shelf> to Region 2 <room with the dining table, wall lamp, ceiling duct>?", "options": ["A) Region 1 <room with the bed, fire alarm, shelf> -> room with the lamp, blanket, step -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "B) Region 1 <room with the bed, fire alarm, shelf> -> room with the lamp, blanket, step -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "C) Region 1 <room with the bed, fire alarm, shelf> -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "D) Region 1 <room with the bed, fire alarm, shelf> -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the dining table, wall lamp, ceiling duct>"], "answer": "D) Region 1 <room with the bed, fire alarm, shelf> -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> to Region 2 <room with the lamp, blanket, step>?", "options": ["A) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the bed, fire alarm, shelf -> Region 2 <room with the lamp, blanket, step>", "B) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the dining table, wall lamp, ceiling duct -> Region 2 <room with the lamp, blanket, step>", "C) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the bed, fire alarm, shelf -> room with the dining table, wall lamp, ceiling duct -> Region 2 <room with the lamp, blanket, step>", "D) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the dining table, wall lamp, ceiling duct -> room with the bed, fire alarm, shelf -> Region 2 <room with the lamp, blanket, step>"], "answer": "B) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the dining table, wall lamp, ceiling duct -> Region 2 <room with the lamp, blanket, step>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, fire alarm, shelf> to Region 2 <room with the lamp, blanket, step>?", "options": ["A) Region 1 <room with the bed, fire alarm, shelf> -> Region 2 <room with the lamp, blanket, step>", "B) Region 1 <room with the bed, fire alarm, shelf> -> room with the cabinet, kitchen counter, kitchen countertop item -> room with the dining table, wall lamp, ceiling duct -> Region 2 <room with the lamp, blanket, step>", "C) Region 1 <room with the bed, fire alarm, shelf> -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the lamp, blanket, step>", "D) Region 1 <room with the bed, fire alarm, shelf> -> room with the dining table, wall lamp, ceiling duct -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the lamp, blanket, step>"], "answer": "B) Region 1 <room with the bed, fire alarm, shelf> -> room with the cabinet, kitchen counter, kitchen countertop item -> room with the dining table, wall lamp, ceiling duct -> Region 2 <room with the lamp, blanket, step>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route25/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, fan, fire alarm> to Region 2 <room with the dining table, ceiling duct, wall lamp>?", "options": ["A) Region 1 <room with the bed, fan, fire alarm> -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, wall lamp>", "B) Region 1 <room with the bed, fan, fire alarm> -> Region 2 <room with the dining table, ceiling duct, wall lamp>", "C) Region 1 <room with the bed, fan, fire alarm> -> room with the desk, desk chair, carpet -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the dining table, ceiling duct, wall lamp>", "D) Region 1 <room with the bed, fan, fire alarm> -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the dining table, ceiling duct, wall lamp>"], "answer": "D) Region 1 <room with the bed, fan, fire alarm> -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the dining table, ceiling duct, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> to Region 2 <room with the desk, desk chair, carpet>?", "options": ["A) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the dining table, ceiling duct, wall lamp -> room with the bed, fan, fire alarm -> Region 2 <room with the desk, desk chair, carpet>", "B) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the bed, fan, fire alarm -> room with the dining table, ceiling duct, wall lamp -> Region 2 <room with the desk, desk chair, carpet>", "C) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the dining table, ceiling duct, wall lamp -> Region 2 <room with the desk, desk chair, carpet>", "D) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the bed, fan, fire alarm -> Region 2 <room with the desk, desk chair, carpet>"], "answer": "C) Region 1 <room with the cabinet, kitchen counter, kitchen countertop item> -> room with the dining table, ceiling duct, wall lamp -> Region 2 <room with the desk, desk chair, carpet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, fan, fire alarm> to Region 2 <room with the desk, desk chair, carpet>?", "options": ["A) Region 1 <room with the bed, fan, fire alarm> -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the desk, desk chair, carpet>", "B) Region 1 <room with the bed, fan, fire alarm> -> room with the cabinet, kitchen counter, kitchen countertop item -> room with the dining table, ceiling duct, wall lamp -> Region 2 <room with the desk, desk chair, carpet>", "C) Region 1 <room with the bed, fan, fire alarm> -> room with the dining table, ceiling duct, wall lamp -> room with the cabinet, kitchen counter, kitchen countertop item -> Region 2 <room with the desk, desk chair, carpet>", "D) Region 1 <room with the bed, fan, fire alarm> -> Region 2 <room with the desk, desk chair, carpet>"], "answer": "B) Region 1 <room with the bed, fan, fire alarm> -> room with the cabinet, kitchen counter, kitchen countertop item -> room with the dining table, ceiling duct, wall lamp -> Region 2 <room with the desk, desk chair, carpet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route26/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bed, fan> to Region 2 <room with the lamp, blanket, step>?", "options": ["A) Region 1 <room with the carpet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the lamp, blanket, step>", "B) Region 1 <room with the carpet, bed, fan> -> room with the dining table, wall lamp, ceiling duct -> Region 2 <room with the lamp, blanket, step>", "C) Region 1 <room with the carpet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the dining table, wall lamp, ceiling duct -> Region 2 <room with the lamp, blanket, step>", "D) Region 1 <room with the carpet, bed, fan> -> room with the dining table, wall lamp, ceiling duct -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the lamp, blanket, step>"], "answer": "A) Region 1 <room with the carpet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the lamp, blanket, step>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> to Region 2 <room with the dining table, wall lamp, ceiling duct>?", "options": ["A) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "B) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the carpet, bed, fan -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "C) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the lamp, blanket, step -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "D) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the lamp, blanket, step -> room with the carpet, bed, fan -> Region 2 <room with the dining table, wall lamp, ceiling duct>"], "answer": "C) Region 1 <room with the kitchen counter, kitchen countertop item, kitchen extractor> -> room with the lamp, blanket, step -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bed, fan> to Region 2 <room with the dining table, wall lamp, ceiling duct>?", "options": ["A) Region 1 <room with the carpet, bed, fan> -> room with the lamp, blanket, step -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "B) Region 1 <room with the carpet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the lamp, blanket, step -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "C) Region 1 <room with the carpet, bed, fan> -> room with the lamp, blanket, step -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "D) Region 1 <room with the carpet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, wall lamp, ceiling duct>"], "answer": "B) Region 1 <room with the carpet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the lamp, blanket, step -> Region 2 <room with the dining table, wall lamp, ceiling duct>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, carpet, wall panel> to Region 2 <room with the desk, desk chair, carpet>?", "options": ["A) Region 1 <room with the rack, carpet, wall panel> -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the desk, desk chair, carpet>", "B) Region 1 <room with the rack, carpet, wall panel> -> Region 2 <room with the desk, desk chair, carpet>", "C) Region 1 <room with the rack, carpet, wall panel> -> room with the ceiling duct, fire alarm, ceiling lamp -> room with the dining table, ceiling duct, painting -> Region 2 <room with the desk, desk chair, carpet>", "D) Region 1 <room with the rack, carpet, wall panel> -> room with the dining table, ceiling duct, painting -> Region 2 <room with the desk, desk chair, carpet>"], "answer": "D) Region 1 <room with the rack, carpet, wall panel> -> room with the dining table, ceiling duct, painting -> Region 2 <room with the desk, desk chair, carpet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dining table, ceiling duct, painting> to Region 2 <room with the dining table, ceiling duct, painting>?", "options": ["A) Region 1 <room with the dining table, ceiling duct, painting> -> room with the desk, desk chair, carpet -> room with the rack, carpet, wall panel -> Region 2 <room with the dining table, ceiling duct, painting>", "B) Region 1 <room with the dining table, ceiling duct, painting> -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, painting>", "C) Region 1 <room with the dining table, ceiling duct, painting> -> room with the rack, carpet, wall panel -> Region 2 <room with the dining table, ceiling duct, painting>", "D) Region 1 <room with the dining table, ceiling duct, painting> -> Region 2 <room with the dining table, ceiling duct, painting>"], "answer": "B) Region 1 <room with the dining table, ceiling duct, painting> -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, painting>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, carpet, wall panel> to Region 2 <room with the dining table, ceiling duct, painting>?", "options": ["A) Region 1 <room with the rack, carpet, wall panel> -> Region 2 <room with the dining table, ceiling duct, painting>", "B) Region 1 <room with the rack, carpet, wall panel> -> room with the dining table, ceiling duct, painting -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, painting>", "C) Region 1 <room with the rack, carpet, wall panel> -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, painting>", "D) Region 1 <room with the rack, carpet, wall panel> -> room with the desk, desk chair, carpet -> room with the dining table, ceiling duct, painting -> Region 2 <room with the dining table, ceiling duct, painting>"], "answer": "B) Region 1 <room with the rack, carpet, wall panel> -> room with the dining table, ceiling duct, painting -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, painting>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route28/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dining table, ceiling duct, podium> to Region 2 <room with the dining table, ceiling duct, podium>?", "options": ["A) Region 1 <room with the dining table, ceiling duct, podium> -> room with the blanket, step, fireplace -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, podium>", "B) Region 1 <room with the dining table, ceiling duct, podium> -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, podium>", "C) Region 1 <room with the dining table, ceiling duct, podium> -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, ceiling duct, podium>", "D) Region 1 <room with the dining table, ceiling duct, podium> -> room with the desk, desk chair, carpet -> room with the blanket, step, fireplace -> Region 2 <room with the dining table, ceiling duct, podium>"], "answer": "B) Region 1 <room with the dining table, ceiling duct, podium> -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, podium>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the blanket, step, fireplace> to Region 2 <room with the dining table, ceiling duct, podium>?", "options": ["A) Region 1 <room with the blanket, step, fireplace> -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, podium>", "B) Region 1 <room with the blanket, step, fireplace> -> Region 2 <room with the dining table, ceiling duct, podium>", "C) Region 1 <room with the blanket, step, fireplace> -> room with the dining table, ceiling duct, podium -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, podium>", "D) Region 1 <room with the blanket, step, fireplace> -> room with the dining table, ceiling duct, podium -> Region 2 <room with the dining table, ceiling duct, podium>"], "answer": "C) Region 1 <room with the blanket, step, fireplace> -> room with the dining table, ceiling duct, podium -> room with the desk, desk chair, carpet -> Region 2 <room with the dining table, ceiling duct, podium>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route29/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, cabinet, fan> to Region 2 <room with the bed, fan, lamp>?", "options": ["A) None", "B) Region 1 <room with the bed, cabinet, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the bed, fan, lamp>", "C) None", "D) Region 1 <room with the bed, cabinet, fan> -> room with the toilet, bathroom cabinet -> Region 2 <room with the bed, fan, lamp>"], "answer": "B) Region 1 <room with the bed, cabinet, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the bed, fan, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the rack, carpet, book>?", "options": ["A) None", "B) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet, air conditioner -> room with the vase, tray, rug -> Region 2 <room with the rack, carpet, book>", "C) None", "D) None"], "answer": "B) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet, air conditioner -> room with the vase, tray, rug -> Region 2 <room with the rack, carpet, book>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, cabinet, fan> to Region 2 <room with the blanket, step, fireplace>?", "options": ["A) None", "B) Region 1 <room with the bed, cabinet, fan> -> room with the kitchen counter, kitchen extractor, bowl -> room with the toilet, bathroom cabinet -> Region 2 <room with the blanket, step, fireplace>", "C) Region 1 <room with the bed, cabinet, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen extractor, bowl -> Region 2 <room with the blanket, step, fireplace>", "D) None"], "answer": "C) Region 1 <room with the bed, cabinet, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen extractor, bowl -> Region 2 <room with the blanket, step, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the dining table, ceiling duct, podium>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the toilet, bathroom cabinet -> Region 2 <room with the dining table, ceiling duct, podium>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, ceiling duct, podium>", "C) None", "D) None"], "answer": "B) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the dining table, ceiling duct, podium>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the desk chair, carpet, mirror>?", "options": ["A) None", "B) None", "C) None", "D) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen extractor, bowl -> room with the dining table, ceiling duct, podium -> Region 2 <room with the desk chair, carpet, mirror>"], "answer": "D) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen extractor, bowl -> room with the dining table, ceiling duct, podium -> Region 2 <room with the desk chair, carpet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> room with the wall lamp, dining table, ceiling duct -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "B) Region 1 <room with the cabinet, bed, fan> -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "C) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet -> room with the wall lamp, dining table, ceiling duct -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "D) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>"], "answer": "D) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet -> Region 2 <room with the kitchen counter, kitchen countertop item, kitchen extractor>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, bathroom cabinet> to Region 2 <room with the wall lamp, dining table, ceiling duct>?", "options": ["A) Region 1 <room with the toilet, bathroom cabinet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the wall lamp, dining table, ceiling duct>", "B) Region 1 <room with the toilet, bathroom cabinet> -> Region 2 <room with the wall lamp, dining table, ceiling duct>", "C) Region 1 <room with the toilet, bathroom cabinet> -> room with the cabinet, bed, fan -> Region 2 <room with the wall lamp, dining table, ceiling duct>", "D) Region 1 <room with the toilet, bathroom cabinet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the cabinet, bed, fan -> Region 2 <room with the wall lamp, dining table, ceiling duct>"], "answer": "A) Region 1 <room with the toilet, bathroom cabinet> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the wall lamp, dining table, ceiling duct>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bed, fan> to Region 2 <room with the wall lamp, dining table, ceiling duct>?", "options": ["A) Region 1 <room with the cabinet, bed, fan> -> Region 2 <room with the wall lamp, dining table, ceiling duct>", "B) Region 1 <room with the cabinet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> room with the toilet, bathroom cabinet -> Region 2 <room with the wall lamp, dining table, ceiling duct>", "C) Region 1 <room with the cabinet, bed, fan> -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the wall lamp, dining table, ceiling duct>", "D) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the wall lamp, dining table, ceiling duct>"], "answer": "D) Region 1 <room with the cabinet, bed, fan> -> room with the toilet, bathroom cabinet -> room with the kitchen counter, kitchen countertop item, kitchen extractor -> Region 2 <room with the wall lamp, dining table, ceiling duct>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, fan, bed> to Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>?", "options": ["A) Region 1 <room with the cabinet, fan, bed> -> room with the book, rack, carpet -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "B) Region 1 <room with the cabinet, fan, bed> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "C) Region 1 <room with the cabinet, fan, bed> -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "D) Region 1 <room with the cabinet, fan, bed> -> room with the bathroom cabinet, bathtub, toilet -> room with the book, rack, carpet -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>"], "answer": "B) Region 1 <room with the cabinet, fan, bed> -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the ceiling duct, fire alarm, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, bathtub, toilet> to Region 2 <room with the book, rack, carpet>?", "options": ["A) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> Region 2 <room with the book, rack, carpet>", "B) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the book, rack, carpet>", "C) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the cabinet, fan, bed -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the book, rack, carpet>", "D) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the cabinet, fan, bed -> Region 2 <room with the book, rack, carpet>"], "answer": "B) Region 1 <room with the bathroom cabinet, bathtub, toilet> -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the book, rack, carpet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, fan, bed> to Region 2 <room with the book, rack, carpet>?", "options": ["A) Region 1 <room with the cabinet, fan, bed> -> room with the bathroom cabinet, bathtub, toilet -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the book, rack, carpet>", "B) Region 1 <room with the cabinet, fan, bed> -> Region 2 <room with the book, rack, carpet>", "C) Region 1 <room with the cabinet, fan, bed> -> room with the ceiling duct, fire alarm, ceiling lamp -> room with the bathroom cabinet, bathtub, toilet -> Region 2 <room with the book, rack, carpet>", "D) Region 1 <room with the cabinet, fan, bed> -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the book, rack, carpet>"], "answer": "A) Region 1 <room with the cabinet, fan, bed> -> room with the bathroom cabinet, bathtub, toilet -> room with the ceiling duct, fire alarm, ceiling lamp -> Region 2 <room with the book, rack, carpet>", "videos": ["dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Dd4bFSTQ8gi/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, cabinet, sofa chair> to Region 2 <room with the appliance, decorative plant, device>?", "options": ["A) Region 1 <room with the tv, cabinet, sofa chair> -> Region 2 <room with the appliance, decorative plant, device>", "B) None", "C) Region 1 <room with the tv, cabinet, sofa chair> -> room with the ceiling dome, bowl, tap -> Region 2 <room with the appliance, decorative plant, device>", "D) None"], "answer": "C) Region 1 <room with the tv, cabinet, sofa chair> -> room with the ceiling dome, bowl, tap -> Region 2 <room with the appliance, decorative plant, device>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, recessed wall, pouffe> to Region 2 <room with the appliance, decorative plant, device>?", "options": ["A) Region 1 <room with the cabinet, recessed wall, pouffe> -> room with the clothes rack, hanger, clothes -> room with the ceiling dome, bowl, tap -> Region 2 <room with the appliance, decorative plant, device>", "B) Region 1 <room with the cabinet, recessed wall, pouffe> -> room with the ceiling dome, bowl, tap -> Region 2 <room with the appliance, decorative plant, device>", "C) Region 1 <room with the cabinet, recessed wall, pouffe> -> Region 2 <room with the appliance, decorative plant, device>", "D) Region 1 <room with the cabinet, recessed wall, pouffe> -> room with the ceiling dome, bowl, tap -> room with the clothes rack, hanger, clothes -> Region 2 <room with the appliance, decorative plant, device>"], "answer": "B) Region 1 <room with the cabinet, recessed wall, pouffe> -> room with the ceiling dome, bowl, tap -> Region 2 <room with the appliance, decorative plant, device>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, bowl, tap> to Region 2 <room with the clothes rack, hanger, clothes>?", "options": ["A) Region 1 <room with the ceiling dome, bowl, tap> -> room with the appliance, decorative plant, device -> room with the cabinet, recessed wall, pouffe -> Region 2 <room with the clothes rack, hanger, clothes>", "B) Region 1 <room with the ceiling dome, bowl, tap> -> Region 2 <room with the clothes rack, hanger, clothes>", "C) Region 1 <room with the ceiling dome, bowl, tap> -> room with the appliance, decorative plant, device -> Region 2 <room with the clothes rack, hanger, clothes>", "D) Region 1 <room with the ceiling dome, bowl, tap> -> room with the cabinet, recessed wall, pouffe -> room with the appliance, decorative plant, device -> Region 2 <room with the clothes rack, hanger, clothes>"], "answer": "C) Region 1 <room with the ceiling dome, bowl, tap> -> room with the appliance, decorative plant, device -> Region 2 <room with the clothes rack, hanger, clothes>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, recessed wall, pouffe> to Region 2 <room with the clothes rack, hanger, clothes>?", "options": ["A) Region 1 <room with the cabinet, recessed wall, pouffe> -> room with the appliance, decorative plant, device -> room with the ceiling dome, bowl, tap -> Region 2 <room with the clothes rack, hanger, clothes>", "B) Region 1 <room with the cabinet, recessed wall, pouffe> -> room with the ceiling dome, bowl, tap -> room with the appliance, decorative plant, device -> Region 2 <room with the clothes rack, hanger, clothes>", "C) Region 1 <room with the cabinet, recessed wall, pouffe> -> Region 2 <room with the clothes rack, hanger, clothes>", "D) Region 1 <room with the cabinet, recessed wall, pouffe> -> room with the appliance, decorative plant, device -> Region 2 <room with the clothes rack, hanger, clothes>"], "answer": "B) Region 1 <room with the cabinet, recessed wall, pouffe> -> room with the ceiling dome, bowl, tap -> room with the appliance, decorative plant, device -> Region 2 <room with the clothes rack, hanger, clothes>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, pouffe, tv> to Region 2 <room with the appliance, decorative plant, device>?", "options": ["A) Region 1 <room with the cabinet, pouffe, tv> -> Region 2 <room with the appliance, decorative plant, device>", "B) Region 1 <room with the cabinet, pouffe, tv> -> room with the hat, shelf with clutter, shoe -> room with the ceiling dome, bowl, tap -> Region 2 <room with the appliance, decorative plant, device>", "C) Region 1 <room with the cabinet, pouffe, tv> -> room with the ceiling dome, bowl, tap -> Region 2 <room with the appliance, decorative plant, device>", "D) Region 1 <room with the cabinet, pouffe, tv> -> room with the hat, shelf with clutter, shoe -> Region 2 <room with the appliance, decorative plant, device>"], "answer": "C) Region 1 <room with the cabinet, pouffe, tv> -> room with the ceiling dome, bowl, tap -> Region 2 <room with the appliance, decorative plant, device>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, bowl, tap> to Region 2 <room with the hat, shelf with clutter, shoe>?", "options": ["A) Region 1 <room with the ceiling dome, bowl, tap> -> room with the appliance, decorative plant, device -> Region 2 <room with the hat, shelf with clutter, shoe>", "B) Region 1 <room with the ceiling dome, bowl, tap> -> room with the cabinet, pouffe, tv -> Region 2 <room with the hat, shelf with clutter, shoe>", "C) Region 1 <room with the ceiling dome, bowl, tap> -> room with the cabinet, pouffe, tv -> room with the appliance, decorative plant, device -> Region 2 <room with the hat, shelf with clutter, shoe>", "D) Region 1 <room with the ceiling dome, bowl, tap> -> Region 2 <room with the hat, shelf with clutter, shoe>"], "answer": "A) Region 1 <room with the ceiling dome, bowl, tap> -> room with the appliance, decorative plant, device -> Region 2 <room with the hat, shelf with clutter, shoe>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, pouffe, tv> to Region 2 <room with the hat, shelf with clutter, shoe>?", "options": ["A) Region 1 <room with the cabinet, pouffe, tv> -> room with the appliance, decorative plant, device -> room with the ceiling dome, bowl, tap -> Region 2 <room with the hat, shelf with clutter, shoe>", "B) Region 1 <room with the cabinet, pouffe, tv> -> Region 2 <room with the hat, shelf with clutter, shoe>", "C) Region 1 <room with the cabinet, pouffe, tv> -> room with the appliance, decorative plant, device -> Region 2 <room with the hat, shelf with clutter, shoe>", "D) Region 1 <room with the cabinet, pouffe, tv> -> room with the ceiling dome, bowl, tap -> room with the appliance, decorative plant, device -> Region 2 <room with the hat, shelf with clutter, shoe>"], "answer": "D) Region 1 <room with the cabinet, pouffe, tv> -> room with the ceiling dome, bowl, tap -> room with the appliance, decorative plant, device -> Region 2 <room with the hat, shelf with clutter, shoe>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, cabinet, recessed wall> to Region 2 <room with the backpack, clothes rack, hanger>?", "options": ["A) Region 1 <room with the tv, cabinet, recessed wall> -> room with the appliance, decorative plant, flowerpot -> room with the bathroom cabinet, bathroom utensil, toilet -> Region 2 <room with the backpack, clothes rack, hanger>", "B) Region 1 <room with the tv, cabinet, recessed wall> -> room with the appliance, decorative plant, flowerpot -> room with the bathroom cabinet, bathroom utensil, toilet -> room with the ceiling dome, bowl, tap -> Region 2 <room with the backpack, clothes rack, hanger>", "C) Region 1 <room with the tv, cabinet, recessed wall> -> room with the bathroom cabinet, bathroom utensil, toilet -> room with the ceiling dome, bowl, tap -> Region 2 <room with the backpack, clothes rack, hanger>", "D) Region 1 <room with the tv, cabinet, recessed wall> -> room with the ceiling dome, bowl, tap -> room with the appliance, decorative plant, flowerpot -> Region 2 <room with the backpack, clothes rack, hanger>"], "answer": "D) Region 1 <room with the tv, cabinet, recessed wall> -> room with the ceiling dome, bowl, tap -> room with the appliance, decorative plant, flowerpot -> Region 2 <room with the backpack, clothes rack, hanger>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, bowl, tap> to Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>?", "options": ["A) Region 1 <room with the ceiling dome, bowl, tap> -> room with the appliance, decorative plant, flowerpot -> room with the tv, cabinet, recessed wall -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "B) Region 1 <room with the ceiling dome, bowl, tap> -> room with the appliance, decorative plant, flowerpot -> room with the backpack, clothes rack, hanger -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "C) Region 1 <room with the ceiling dome, bowl, tap> -> room with the backpack, clothes rack, hanger -> room with the tv, cabinet, recessed wall -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "D) Region 1 <room with the ceiling dome, bowl, tap> -> room with the appliance, decorative plant, flowerpot -> room with the tv, cabinet, recessed wall -> room with the backpack, clothes rack, hanger -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>"], "answer": "B) Region 1 <room with the ceiling dome, bowl, tap> -> room with the appliance, decorative plant, flowerpot -> room with the backpack, clothes rack, hanger -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, cabinet, recessed wall> to Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>?", "options": ["A) Region 1 <room with the tv, cabinet, recessed wall> -> room with the ceiling dome, bowl, tap -> room with the appliance, decorative plant, flowerpot -> room with the backpack, clothes rack, hanger -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "B) Region 1 <room with the tv, cabinet, recessed wall> -> room with the ceiling dome, bowl, tap -> room with the backpack, clothes rack, hanger -> room with the appliance, decorative plant, flowerpot -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "C) Region 1 <room with the tv, cabinet, recessed wall> -> room with the appliance, decorative plant, flowerpot -> room with the ceiling dome, bowl, tap -> room with the backpack, clothes rack, hanger -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "D) Region 1 <room with the tv, cabinet, recessed wall> -> room with the appliance, decorative plant, flowerpot -> room with the backpack, clothes rack, hanger -> room with the ceiling dome, bowl, tap -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>"], "answer": "A) Region 1 <room with the tv, cabinet, recessed wall> -> room with the ceiling dome, bowl, tap -> room with the appliance, decorative plant, flowerpot -> room with the backpack, clothes rack, hanger -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, bowl, kitchen island> to Region 2 <room with the hat, shelf with clutter, clothes rack>?", "options": ["A) Region 1 <room with the ceiling dome, bowl, kitchen island> -> room with the appliance, decorative plant, device -> Region 2 <room with the hat, shelf with clutter, clothes rack>", "B) None", "C) Region 1 <room with the ceiling dome, bowl, kitchen island> -> Region 2 <room with the hat, shelf with clutter, clothes rack>", "D) None"], "answer": "A) Region 1 <room with the ceiling dome, bowl, kitchen island> -> room with the appliance, decorative plant, device -> Region 2 <room with the hat, shelf with clutter, clothes rack>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, bottle, bowl> to Region 2 <room with the clothes rack, hanger, clothes>?", "options": ["A) Region 1 <room with the ceiling dome, bottle, bowl> -> room with the appliance, decorative plant, device -> room with the bathroom cabinet, bathroom utensil, toilet -> Region 2 <room with the clothes rack, hanger, clothes>", "B) Region 1 <room with the ceiling dome, bottle, bowl> -> room with the bathroom cabinet, bathroom utensil, toilet -> room with the appliance, decorative plant, device -> Region 2 <room with the clothes rack, hanger, clothes>", "C) Region 1 <room with the ceiling dome, bottle, bowl> -> room with the appliance, decorative plant, device -> Region 2 <room with the clothes rack, hanger, clothes>", "D) Region 1 <room with the ceiling dome, bottle, bowl> -> room with the bathroom cabinet, bathroom utensil, toilet -> Region 2 <room with the clothes rack, hanger, clothes>"], "answer": "C) Region 1 <room with the ceiling dome, bottle, bowl> -> room with the appliance, decorative plant, device -> Region 2 <room with the clothes rack, hanger, clothes>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the appliance, decorative plant, device> to Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>?", "options": ["A) Region 1 <room with the appliance, decorative plant, device> -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "B) Region 1 <room with the appliance, decorative plant, device> -> room with the clothes rack, hanger, clothes -> room with the ceiling dome, bottle, bowl -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "C) Region 1 <room with the appliance, decorative plant, device> -> room with the clothes rack, hanger, clothes -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "D) Region 1 <room with the appliance, decorative plant, device> -> room with the ceiling dome, bottle, bowl -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>"], "answer": "C) Region 1 <room with the appliance, decorative plant, device> -> room with the clothes rack, hanger, clothes -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, bottle, bowl> to Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>?", "options": ["A) Region 1 <room with the ceiling dome, bottle, bowl> -> room with the appliance, decorative plant, device -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "B) Region 1 <room with the ceiling dome, bottle, bowl> -> room with the appliance, decorative plant, device -> room with the clothes rack, hanger, clothes -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "C) Region 1 <room with the ceiling dome, bottle, bowl> -> room with the clothes rack, hanger, clothes -> room with the appliance, decorative plant, device -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "D) Region 1 <room with the ceiling dome, bottle, bowl> -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>"], "answer": "B) Region 1 <room with the ceiling dome, bottle, bowl> -> room with the appliance, decorative plant, device -> room with the clothes rack, hanger, clothes -> Region 2 <room with the bathroom cabinet, bathroom utensil, toilet>", "videos": ["dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/GLAQ4DNUx5U/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bowl, tv> to Region 2 <room with the parapet, staircase handrail, stairs railing>?", "options": ["A) Region 1 <room with the cabinet, bowl, tv> -> Region 2 <room with the parapet, staircase handrail, stairs railing>", "B) Region 1 <room with the cabinet, bowl, tv> -> room with the bathroom cabinet, toilet, sink -> room with the rug, picture, ceiling lamp -> Region 2 <room with the parapet, staircase handrail, stairs railing>", "C) Region 1 <room with the cabinet, bowl, tv> -> room with the rug, picture, ceiling lamp -> Region 2 <room with the parapet, staircase handrail, stairs railing>", "D) Region 1 <room with the cabinet, bowl, tv> -> room with the rug, picture, ceiling lamp -> room with the bathroom cabinet, toilet, sink -> Region 2 <room with the parapet, staircase handrail, stairs railing>"], "answer": "C) Region 1 <room with the cabinet, bowl, tv> -> room with the rug, picture, ceiling lamp -> Region 2 <room with the parapet, staircase handrail, stairs railing>", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rug, picture, ceiling lamp> to Region 2 <room with the rug, picture, ceiling lamp>?", "options": ["A) Region 1 <room with the rug, picture, ceiling lamp> -> room with the cabinet, bowl, tv -> Region 2 <room with the rug, picture, ceiling lamp>", "B) Region 1 <room with the rug, picture, ceiling lamp> -> room with the parapet, staircase handrail, stairs railing -> Region 2 <room with the rug, picture, ceiling lamp>", "C) Region 1 <room with the rug, picture, ceiling lamp> -> room with the parapet, staircase handrail, stairs railing -> room with the cabinet, bowl, tv -> Region 2 <room with the rug, picture, ceiling lamp>", "D) Region 1 <room with the rug, picture, ceiling lamp> -> room with the cabinet, bowl, tv -> room with the parapet, staircase handrail, stairs railing -> Region 2 <room with the rug, picture, ceiling lamp>"], "answer": "B) Region 1 <room with the rug, picture, ceiling lamp> -> room with the parapet, staircase handrail, stairs railing -> Region 2 <room with the rug, picture, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bowl, tv> to Region 2 <room with the rug, picture, ceiling lamp>?", "options": ["A) Region 1 <room with the cabinet, bowl, tv> -> room with the rug, picture, ceiling lamp -> room with the parapet, staircase handrail, stairs railing -> Region 2 <room with the rug, picture, ceiling lamp>", "B) Region 1 <room with the cabinet, bowl, tv> -> Region 2 <room with the rug, picture, ceiling lamp>", "C) Region 1 <room with the cabinet, bowl, tv> -> room with the parapet, staircase handrail, stairs railing -> Region 2 <room with the rug, picture, ceiling lamp>", "D) Region 1 <room with the cabinet, bowl, tv> -> room with the parapet, staircase handrail, stairs railing -> room with the rug, picture, ceiling lamp -> Region 2 <room with the rug, picture, ceiling lamp>"], "answer": "A) Region 1 <room with the cabinet, bowl, tv> -> room with the rug, picture, ceiling lamp -> room with the parapet, staircase handrail, stairs railing -> Region 2 <room with the rug, picture, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the parapet, staircase handrail, stairs railing> to Region 2 <room with the bathroom cabinet, shower cabin, shower wall>?", "options": ["A) None", "B) Region 1 <room with the parapet, staircase handrail, stairs railing> -> room with the rug, picture, ceiling lamp -> Region 2 <room with the bathroom cabinet, shower cabin, shower wall>", "C) None", "D) Region 1 <room with the parapet, staircase handrail, stairs railing> -> Region 2 <room with the bathroom cabinet, shower cabin, shower wall>"], "answer": "B) Region 1 <room with the parapet, staircase handrail, stairs railing> -> room with the rug, picture, ceiling lamp -> Region 2 <room with the bathroom cabinet, shower cabin, shower wall>", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rug, picture, ceiling lamp> to Region 2 <room with the rug, picture, ceiling lamp>?", "options": ["A) None", "B) None", "C) Region 1 <room with the rug, picture, ceiling lamp> -> room with the parapet, staircase handrail, stairs railing -> Region 2 <room with the rug, picture, ceiling lamp>", "D) Region 1 <room with the rug, picture, ceiling lamp> -> Region 2 <room with the rug, picture, ceiling lamp>"], "answer": "C) Region 1 <room with the rug, picture, ceiling lamp> -> room with the parapet, staircase handrail, stairs railing -> Region 2 <room with the rug, picture, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, bowl, tap> to Region 2 <room with the rug, picture, ceiling lamp>?", "options": ["A) Region 1 <room with the cabinet, bowl, tap> -> Region 2 <room with the rug, picture, ceiling lamp>", "B) Region 1 <room with the cabinet, bowl, tap> -> room with the bathroom cabinet, toilet, shower cabin -> Region 2 <room with the rug, picture, ceiling lamp>", "C) None", "D) None"], "answer": "B) Region 1 <room with the cabinet, bowl, tap> -> room with the bathroom cabinet, toilet, shower cabin -> Region 2 <room with the rug, picture, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/LT9Jq6dN3Ea/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flowerpot, kitchen counter, fruit> to Region 2 <room with the lounge chair, iron board, tv>?", "options": ["A) Region 1 <room with the flowerpot, kitchen counter, fruit> -> room with the smoke alarm, fire alarm, heater -> Region 2 <room with the lounge chair, iron board, tv>", "B) Region 1 <room with the flowerpot, kitchen counter, fruit> -> room with the ceiling under staircase, decoration, staircase handrail -> Region 2 <room with the lounge chair, iron board, tv>", "C) Region 1 <room with the flowerpot, kitchen counter, fruit> -> room with the smoke alarm, fire alarm, heater -> room with the ceiling under staircase, decoration, staircase handrail -> Region 2 <room with the lounge chair, iron board, tv>", "D) Region 1 <room with the flowerpot, kitchen counter, fruit> -> Region 2 <room with the lounge chair, iron board, tv>"], "answer": "B) Region 1 <room with the flowerpot, kitchen counter, fruit> -> room with the ceiling under staircase, decoration, staircase handrail -> Region 2 <room with the lounge chair, iron board, tv>", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling under staircase, decoration, staircase handrail> to Region 2 <room with the smoke alarm, fire alarm, heater>?", "options": ["A) Region 1 <room with the ceiling under staircase, decoration, staircase handrail> -> room with the flowerpot, kitchen counter, fruit -> room with the lounge chair, iron board, tv -> Region 2 <room with the smoke alarm, fire alarm, heater>", "B) Region 1 <room with the ceiling under staircase, decoration, staircase handrail> -> room with the lounge chair, iron board, tv -> Region 2 <room with the smoke alarm, fire alarm, heater>", "C) Region 1 <room with the ceiling under staircase, decoration, staircase handrail> -> room with the flowerpot, kitchen counter, fruit -> Region 2 <room with the smoke alarm, fire alarm, heater>", "D) Region 1 <room with the ceiling under staircase, decoration, staircase handrail> -> Region 2 <room with the smoke alarm, fire alarm, heater>"], "answer": "B) Region 1 <room with the ceiling under staircase, decoration, staircase handrail> -> room with the lounge chair, iron board, tv -> Region 2 <room with the smoke alarm, fire alarm, heater>", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flowerpot, kitchen counter, fruit> to Region 2 <room with the smoke alarm, fire alarm, heater>?", "options": ["A) Region 1 <room with the flowerpot, kitchen counter, fruit> -> room with the ceiling under staircase, decoration, staircase handrail -> room with the lounge chair, iron board, tv -> Region 2 <room with the smoke alarm, fire alarm, heater>", "B) Region 1 <room with the flowerpot, kitchen counter, fruit> -> Region 2 <room with the smoke alarm, fire alarm, heater>", "C) Region 1 <room with the flowerpot, kitchen counter, fruit> -> room with the ceiling under staircase, decoration, staircase handrail -> Region 2 <room with the smoke alarm, fire alarm, heater>", "D) Region 1 <room with the flowerpot, kitchen counter, fruit> -> room with the lounge chair, iron board, tv -> Region 2 <room with the smoke alarm, fire alarm, heater>"], "answer": "A) Region 1 <room with the flowerpot, kitchen counter, fruit> -> room with the ceiling under staircase, decoration, staircase handrail -> room with the lounge chair, iron board, tv -> Region 2 <room with the smoke alarm, fire alarm, heater>", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounge chair, iron board, tv> to Region 2 <room with the dog bed, shelving, doorpost>?", "options": ["A) Region 1 <room with the lounge chair, iron board, tv> -> room with the bowl of fruit, flowerpot, kitchen counter -> Region 2 <room with the dog bed, shelving, doorpost>", "B) Region 1 <room with the lounge chair, iron board, tv> -> Region 2 <room with the dog bed, shelving, doorpost>", "C) Region 1 <room with the lounge chair, iron board, tv> -> room with the smoke alarm, fire alarm, heater -> room with the bowl of fruit, flowerpot, kitchen counter -> Region 2 <room with the dog bed, shelving, doorpost>", "D) Region 1 <room with the lounge chair, iron board, tv> -> room with the smoke alarm, fire alarm, heater -> Region 2 <room with the dog bed, shelving, doorpost>"], "answer": "D) Region 1 <room with the lounge chair, iron board, tv> -> room with the smoke alarm, fire alarm, heater -> Region 2 <room with the dog bed, shelving, doorpost>", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke alarm, fire alarm, heater> to Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>?", "options": ["A) Region 1 <room with the smoke alarm, fire alarm, heater> -> room with the dog bed, shelving, doorpost -> room with the lounge chair, iron board, tv -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>", "B) Region 1 <room with the smoke alarm, fire alarm, heater> -> room with the lounge chair, iron board, tv -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>", "C) Region 1 <room with the smoke alarm, fire alarm, heater> -> room with the lounge chair, iron board, tv -> room with the dog bed, shelving, doorpost -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>", "D) Region 1 <room with the smoke alarm, fire alarm, heater> -> room with the dog bed, shelving, doorpost -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>"], "answer": "D) Region 1 <room with the smoke alarm, fire alarm, heater> -> room with the dog bed, shelving, doorpost -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounge chair, iron board, tv> to Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>?", "options": ["A) Region 1 <room with the lounge chair, iron board, tv> -> room with the dog bed, shelving, doorpost -> room with the smoke alarm, fire alarm, heater -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>", "B) Region 1 <room with the lounge chair, iron board, tv> -> room with the dog bed, shelving, doorpost -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>", "C) Region 1 <room with the lounge chair, iron board, tv> -> room with the smoke alarm, fire alarm, heater -> room with the dog bed, shelving, doorpost -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>", "D) Region 1 <room with the lounge chair, iron board, tv> -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>"], "answer": "C) Region 1 <room with the lounge chair, iron board, tv> -> room with the smoke alarm, fire alarm, heater -> room with the dog bed, shelving, doorpost -> Region 2 <room with the bowl of fruit, flowerpot, kitchen counter>", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling under staircase, staircase handrail, decoration> to Region 2 <room with the dog bed, shelving, doorpost>?", "options": ["A) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> Region 2 <room with the dog bed, shelving, doorpost>", "B) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> room with the bowl of fruit, flowerpot, kitchen counter -> Region 2 <room with the dog bed, shelving, doorpost>", "C) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> room with the bowl of fruit, flowerpot, kitchen counter -> room with the smoke alarm, fire alarm, mirror -> Region 2 <room with the dog bed, shelving, doorpost>", "D) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> room with the smoke alarm, fire alarm, mirror -> room with the bowl of fruit, flowerpot, kitchen counter -> Region 2 <room with the dog bed, shelving, doorpost>"], "answer": "B) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> room with the bowl of fruit, flowerpot, kitchen counter -> Region 2 <room with the dog bed, shelving, doorpost>", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, flowerpot, kitchen counter> to Region 2 <room with the smoke alarm, fire alarm, mirror>?", "options": ["A) Region 1 <room with the bowl of fruit, flowerpot, kitchen counter> -> room with the dog bed, shelving, doorpost -> Region 2 <room with the smoke alarm, fire alarm, mirror>", "B) Region 1 <room with the bowl of fruit, flowerpot, kitchen counter> -> room with the ceiling under staircase, staircase handrail, decoration -> room with the dog bed, shelving, doorpost -> Region 2 <room with the smoke alarm, fire alarm, mirror>", "C) Region 1 <room with the bowl of fruit, flowerpot, kitchen counter> -> room with the dog bed, shelving, doorpost -> room with the ceiling under staircase, staircase handrail, decoration -> Region 2 <room with the smoke alarm, fire alarm, mirror>", "D) Region 1 <room with the bowl of fruit, flowerpot, kitchen counter> -> Region 2 <room with the smoke alarm, fire alarm, mirror>"], "answer": "A) Region 1 <room with the bowl of fruit, flowerpot, kitchen counter> -> room with the dog bed, shelving, doorpost -> Region 2 <room with the smoke alarm, fire alarm, mirror>", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling under staircase, staircase handrail, decoration> to Region 2 <room with the smoke alarm, fire alarm, mirror>?", "options": ["A) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> room with the dog bed, shelving, doorpost -> room with the bowl of fruit, flowerpot, kitchen counter -> Region 2 <room with the smoke alarm, fire alarm, mirror>", "B) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> room with the bowl of fruit, flowerpot, kitchen counter -> room with the dog bed, shelving, doorpost -> Region 2 <room with the smoke alarm, fire alarm, mirror>", "C) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> room with the dog bed, shelving, doorpost -> Region 2 <room with the smoke alarm, fire alarm, mirror>", "D) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> Region 2 <room with the smoke alarm, fire alarm, mirror>"], "answer": "B) Region 1 <room with the ceiling under staircase, staircase handrail, decoration> -> room with the bowl of fruit, flowerpot, kitchen counter -> room with the dog bed, shelving, doorpost -> Region 2 <room with the smoke alarm, fire alarm, mirror>", "videos": ["dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/MHPLjHsuG27/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, oven and stove, coffee machine> to Region 2 <room with the ironing board, clock, washing machine>?", "options": ["A) Region 1 <room with the carpet, oven and stove, coffee machine> -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the ironing board, clock, washing machine>", "B) Region 1 <room with the carpet, oven and stove, coffee machine> -> room with the shower cabin, clothes hanger, cloth -> room with the painting, device, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "C) Region 1 <room with the carpet, oven and stove, coffee machine> -> Region 2 <room with the ironing board, clock, washing machine>", "D) Region 1 <room with the carpet, oven and stove, coffee machine> -> room with the painting, device, lamp -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the ironing board, clock, washing machine>"], "answer": "A) Region 1 <room with the carpet, oven and stove, coffee machine> -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the ironing board, clock, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, clothes hanger, cloth> to Region 2 <room with the painting, device, lamp>?", "options": ["A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, oven and stove, coffee machine -> Region 2 <room with the painting, device, lamp>", "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, oven and stove, coffee machine -> room with the ironing board, clock, washing machine -> Region 2 <room with the painting, device, lamp>", "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the ironing board, clock, washing machine -> Region 2 <room with the painting, device, lamp>", "D) Region 1 <room with the shower cabin, clothes hanger, cloth> -> Region 2 <room with the painting, device, lamp>"], "answer": "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the ironing board, clock, washing machine -> Region 2 <room with the painting, device, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, oven and stove, coffee machine> to Region 2 <room with the painting, device, lamp>?", "options": ["A) Region 1 <room with the carpet, oven and stove, coffee machine> -> room with the shower cabin, clothes hanger, cloth -> room with the ironing board, clock, washing machine -> Region 2 <room with the painting, device, lamp>", "B) Region 1 <room with the carpet, oven and stove, coffee machine> -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the painting, device, lamp>", "C) Region 1 <room with the carpet, oven and stove, coffee machine> -> room with the ironing board, clock, washing machine -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the painting, device, lamp>", "D) Region 1 <room with the carpet, oven and stove, coffee machine> -> Region 2 <room with the painting, device, lamp>"], "answer": "A) Region 1 <room with the carpet, oven and stove, coffee machine> -> room with the shower cabin, clothes hanger, cloth -> room with the ironing board, clock, washing machine -> Region 2 <room with the painting, device, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, oven and stove, dishwasher> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the carpet, oven and stove, dishwasher> -> Region 2 <room with the doormat, clock, painting>", "B) None", "C) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "D) None"], "answer": "C) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the device, painting, lamp>", "B) None", "C) None", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, laptop -> Region 2 <room with the device, painting, lamp>"], "answer": "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, laptop -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, toilet paper, lamp> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the toilet, toilet paper, lamp> -> room with the carpet, bowl of fruit, oven and stove -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the toilet, toilet paper, lamp> -> room with the ironing board, clock, washing machine -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the toilet, toilet paper, lamp> -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the toilet, toilet paper, lamp> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>"], "answer": "D) Region 1 <room with the toilet, toilet paper, lamp> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the ironing board, clock, washing machine>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the device, painting, lamp -> room with the toilet, toilet paper, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the toilet, toilet paper, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the ironing board, clock, washing machine>", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>"], "answer": "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, toilet paper, lamp> to Region 2 <room with the ironing board, clock, washing machine>?", "options": ["A) Region 1 <room with the toilet, toilet paper, lamp> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the ironing board, clock, washing machine>", "B) Region 1 <room with the toilet, toilet paper, lamp> -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "C) Region 1 <room with the toilet, toilet paper, lamp> -> room with the device, painting, lamp -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the ironing board, clock, washing machine>", "D) Region 1 <room with the toilet, toilet paper, lamp> -> room with the carpet, bowl of fruit, oven and stove -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>"], "answer": "D) Region 1 <room with the toilet, toilet paper, lamp> -> room with the carpet, bowl of fruit, oven and stove -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route13/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, toilet paper, lamp> to Region 2 <room with the ironing board, clock, washing machine>?", "options": ["A) Region 1 <room with the toilet, toilet paper, lamp> -> Region 2 <room with the ironing board, clock, washing machine>", "B) Region 1 <room with the toilet, toilet paper, lamp> -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "C) Region 1 <room with the toilet, toilet paper, lamp> -> room with the shower cabin, clothes hanger, shoe -> Region 2 <room with the ironing board, clock, washing machine>", "D) Region 1 <room with the toilet, toilet paper, lamp> -> room with the device, painting, lamp -> room with the shower cabin, clothes hanger, shoe -> Region 2 <room with the ironing board, clock, washing machine>"], "answer": "C) Region 1 <room with the toilet, toilet paper, lamp> -> room with the shower cabin, clothes hanger, shoe -> Region 2 <room with the ironing board, clock, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, clothes hanger, shoe> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the shower cabin, clothes hanger, shoe> -> room with the ironing board, clock, washing machine -> room with the toilet, toilet paper, lamp -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the shower cabin, clothes hanger, shoe> -> room with the toilet, toilet paper, lamp -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the shower cabin, clothes hanger, shoe> -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the shower cabin, clothes hanger, shoe> -> Region 2 <room with the device, painting, lamp>"], "answer": "C) Region 1 <room with the shower cabin, clothes hanger, shoe> -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, toilet paper, lamp> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the toilet, toilet paper, lamp> -> room with the shower cabin, clothes hanger, shoe -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the toilet, toilet paper, lamp> -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the toilet, toilet paper, lamp> -> room with the ironing board, clock, washing machine -> room with the shower cabin, clothes hanger, shoe -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the toilet, toilet paper, lamp> -> room with the shower cabin, clothes hanger, shoe -> Region 2 <room with the device, painting, lamp>"], "answer": "A) Region 1 <room with the toilet, toilet paper, lamp> -> room with the shower cabin, clothes hanger, shoe -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route14/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "B) None", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the doormat, clock, painting>", "D) None"], "answer": "A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route15/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) None", "B) None", "C) None", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the sink cabinet, toilet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the sink cabinet, toilet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route18/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, clothes hanger, cloth> to Region 2 <room with the office chair, desk, printer>?", "options": ["A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> Region 2 <room with the office chair, desk, printer>", "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>", "D) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the device, painting, lamp -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>"], "answer": "A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the device, painting, lamp>"], "answer": "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, clothes hanger, cloth> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the office chair, desk, printer -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>"], "answer": "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route19/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the mirror, toilet, sink cabinet>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the mirror, toilet, sink cabinet>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the mirror, toilet, sink cabinet>", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the mirror, toilet, sink cabinet>", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the smoke alarm, wardrobe, bed -> room with the office chair, desk, printer -> Region 2 <room with the mirror, toilet, sink cabinet>"], "answer": "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the mirror, toilet, sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the office chair, desk, printer> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the office chair, desk, printer> -> room with the mirror, toilet, sink cabinet -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) Region 1 <room with the office chair, desk, printer> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the smoke alarm, wardrobe, bed>", "C) Region 1 <room with the office chair, desk, printer> -> room with the carpet, bowl of fruit, oven and stove -> room with the mirror, toilet, sink cabinet -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) Region 1 <room with the office chair, desk, printer> -> room with the mirror, toilet, sink cabinet -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "D) Region 1 <room with the office chair, desk, printer> -> room with the mirror, toilet, sink cabinet -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the mirror, toilet, sink cabinet -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the smoke alarm, wardrobe, bed>", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the mirror, toilet, sink cabinet -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the mirror, toilet, sink cabinet -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, clothes hanger, cloth> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the office chair, desk, printer -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the shower cabin, clothes hanger, cloth> -> Region 2 <room with the device, painting, lamp>"], "answer": "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the office chair, desk, printer>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the device, painting, lamp -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the office chair, desk, printer>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the shower cabin, clothes hanger, cloth -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the office chair, desk, printer>", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>"], "answer": "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, clothes hanger, cloth> to Region 2 <room with the office chair, desk, printer>?", "options": ["A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> Region 2 <room with the office chair, desk, printer>", "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the device, painting, lamp -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "D) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>"], "answer": "D) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route20/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, clothes hanger, cloth> to Region 2 <room with the office chair, desk, printer>?", "options": ["A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the doormat, clock, painting -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the doormat, clock, painting -> Region 2 <room with the office chair, desk, printer>", "D) Region 1 <room with the shower cabin, clothes hanger, cloth> -> Region 2 <room with the office chair, desk, printer>"], "answer": "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the doormat, clock, painting>", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the doormat, clock, painting>", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the doormat, clock, painting>"], "answer": "A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, clothes hanger, cloth> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> Region 2 <room with the doormat, clock, painting>", "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the doormat, clock, painting>", "D) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the office chair, desk, printer -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the doormat, clock, painting>"], "answer": "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the liquid soap, shower cabin, clothes hanger> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the office chair, desk, printer -> room with the mirror, lamp -> room with the carpet, oven and stove, dishwasher -> Region 2 <room with the doormat, clock, painting>", "B) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, oven and stove, dishwasher -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "C) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the mirror, lamp -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "D) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>"], "answer": "B) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, oven and stove, dishwasher -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, oven and stove, dishwasher> to Region 2 <room with the mirror, lamp>?", "options": ["A) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> room with the liquid soap, shower cabin, clothes hanger -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "B) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the doormat, clock, painting -> room with the office chair, desk, printer -> Region 2 <room with the mirror, lamp>", "C) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the liquid soap, shower cabin, clothes hanger -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "D) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>"], "answer": "D) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the liquid soap, shower cabin, clothes hanger> to Region 2 <room with the mirror, lamp>?", "options": ["A) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the doormat, clock, painting -> room with the carpet, oven and stove, dishwasher -> room with the office chair, desk, printer -> Region 2 <room with the mirror, lamp>", "B) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the office chair, desk, printer -> Region 2 <room with the mirror, lamp>", "C) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, oven and stove, dishwasher -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "D) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, oven and stove, dishwasher -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>"], "answer": "D) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, oven and stove, dishwasher -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the liquid soap, shower cabin, clothes hanger> to Region 2 <room with the sink cabinet, mirror>?", "options": ["A) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the sink cabinet, mirror>", "B) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, bowl of fruit, oven and stove -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the sink cabinet, mirror>", "C) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> Region 2 <room with the sink cabinet, mirror>", "D) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> Region 2 <room with the sink cabinet, mirror>"], "answer": "C) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> Region 2 <room with the sink cabinet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the sink cabinet, mirror -> room with the office chair, desk, printer -> room with the liquid soap, shower cabin, clothes hanger -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the smoke alarm, wardrobe, bed>", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the liquid soap, shower cabin, clothes hanger -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the liquid soap, shower cabin, clothes hanger> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the office chair, desk, printer -> room with the sink cabinet, mirror -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the smoke alarm, wardrobe, bed>", "C) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> room with the sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the sink cabinet, mirror -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "C) Region 1 <room with the liquid soap, shower cabin, clothes hanger> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> room with the sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route24/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the office chair, desk, printer> to Region 2 <room with the ironing board, clock, washing stuff>?", "options": ["A) Region 1 <room with the office chair, desk, printer> -> room with the shower cabin, clothes hanger, shoe -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing stuff>", "B) Region 1 <room with the office chair, desk, printer> -> room with the shower cabin, clothes hanger, shoe -> Region 2 <room with the ironing board, clock, washing stuff>", "C) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> room with the shower cabin, clothes hanger, shoe -> Region 2 <room with the ironing board, clock, washing stuff>", "D) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing stuff>"], "answer": "D) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing stuff>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the shower cabin, clothes hanger, shoe>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> room with the ironing board, clock, washing stuff -> Region 2 <room with the shower cabin, clothes hanger, shoe>", "B) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the shower cabin, clothes hanger, shoe>", "C) Region 1 <room with the device, painting, lamp> -> room with the ironing board, clock, washing stuff -> room with the office chair, desk, printer -> Region 2 <room with the shower cabin, clothes hanger, shoe>", "D) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the ironing board, clock, washing stuff -> Region 2 <room with the shower cabin, clothes hanger, shoe>"], "answer": "A) Region 1 <room with the device, painting, lamp> -> room with the ironing board, clock, washing stuff -> Region 2 <room with the shower cabin, clothes hanger, shoe>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the office chair, desk, printer> to Region 2 <room with the shower cabin, clothes hanger, shoe>?", "options": ["A) Region 1 <room with the office chair, desk, printer> -> Region 2 <room with the shower cabin, clothes hanger, shoe>", "B) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> room with the ironing board, clock, washing stuff -> Region 2 <room with the shower cabin, clothes hanger, shoe>", "C) Region 1 <room with the office chair, desk, printer> -> room with the ironing board, clock, washing stuff -> room with the device, painting, lamp -> Region 2 <room with the shower cabin, clothes hanger, shoe>", "D) Region 1 <room with the office chair, desk, printer> -> room with the ironing board, clock, washing stuff -> Region 2 <room with the shower cabin, clothes hanger, shoe>"], "answer": "B) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> room with the ironing board, clock, washing stuff -> Region 2 <room with the shower cabin, clothes hanger, shoe>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route25/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the office chair, desk, printer> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the office chair, desk, printer> -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) Region 1 <room with the office chair, desk, printer> -> room with the sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "C) Region 1 <room with the office chair, desk, printer> -> room with the mirror, lamp -> room with the sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) Region 1 <room with the office chair, desk, printer> -> room with the mirror, lamp -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "B) Region 1 <room with the office chair, desk, printer> -> room with the sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sink cabinet, mirror> to Region 2 <room with the mirror, lamp>?", "options": ["A) Region 1 <room with the sink cabinet, mirror> -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the mirror, lamp>", "B) Region 1 <room with the sink cabinet, mirror> -> Region 2 <room with the mirror, lamp>", "C) Region 1 <room with the sink cabinet, mirror> -> room with the office chair, desk, printer -> Region 2 <room with the mirror, lamp>", "D) Region 1 <room with the sink cabinet, mirror> -> room with the smoke alarm, wardrobe, bed -> room with the office chair, desk, printer -> Region 2 <room with the mirror, lamp>"], "answer": "A) Region 1 <room with the sink cabinet, mirror> -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the office chair, desk, printer> to Region 2 <room with the mirror, lamp>?", "options": ["A) Region 1 <room with the office chair, desk, printer> -> room with the sink cabinet, mirror -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the mirror, lamp>", "B) Region 1 <room with the office chair, desk, printer> -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the mirror, lamp>", "C) Region 1 <room with the office chair, desk, printer> -> Region 2 <room with the mirror, lamp>", "D) Region 1 <room with the office chair, desk, printer> -> room with the smoke alarm, wardrobe, bed -> room with the sink cabinet, mirror -> Region 2 <room with the mirror, lamp>"], "answer": "A) Region 1 <room with the office chair, desk, printer> -> room with the sink cabinet, mirror -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route27/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the doormat, clock, painting>", "B) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the doormat, clock, painting>", "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "D) Region 1 <room with the device, painting, lamp> -> Region 2 <room with the doormat, clock, painting>"], "answer": "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the office chair, desk, printer> to Region 2 <room with the toilet, sink cabinet, mirror>?", "options": ["A) Region 1 <room with the office chair, desk, printer> -> room with the doormat, clock, painting -> room with the device, painting, lamp -> Region 2 <room with the toilet, sink cabinet, mirror>", "B) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> room with the doormat, clock, painting -> Region 2 <room with the toilet, sink cabinet, mirror>", "C) Region 1 <room with the office chair, desk, printer> -> Region 2 <room with the toilet, sink cabinet, mirror>", "D) Region 1 <room with the office chair, desk, printer> -> room with the doormat, clock, painting -> Region 2 <room with the toilet, sink cabinet, mirror>"], "answer": "D) Region 1 <room with the office chair, desk, printer> -> room with the doormat, clock, painting -> Region 2 <room with the toilet, sink cabinet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the toilet, sink cabinet, mirror>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> Region 2 <room with the toilet, sink cabinet, mirror>", "B) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the toilet, sink cabinet, mirror>", "C) Region 1 <room with the device, painting, lamp> -> room with the doormat, clock, painting -> Region 2 <room with the toilet, sink cabinet, mirror>", "D) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>"], "answer": "B) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the toilet, sink cabinet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the sink cabinet, toilet, mirror>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the sink cabinet, toilet, mirror>", "B) Region 1 <room with the device, painting, lamp> -> room with the mirror, lamp -> Region 2 <room with the sink cabinet, toilet, mirror>", "C) Region 1 <room with the device, painting, lamp> -> Region 2 <room with the sink cabinet, toilet, mirror>", "D) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the mirror, lamp -> Region 2 <room with the sink cabinet, toilet, mirror>"], "answer": "A) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the sink cabinet, toilet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the office chair, desk, printer> to Region 2 <room with the mirror, lamp>?", "options": ["A) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> Region 2 <room with the mirror, lamp>", "B) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> room with the sink cabinet, toilet, mirror -> Region 2 <room with the mirror, lamp>", "C) Region 1 <room with the office chair, desk, printer> -> room with the sink cabinet, toilet, mirror -> room with the device, painting, lamp -> Region 2 <room with the mirror, lamp>", "D) Region 1 <room with the office chair, desk, printer> -> room with the sink cabinet, toilet, mirror -> Region 2 <room with the mirror, lamp>"], "answer": "D) Region 1 <room with the office chair, desk, printer> -> room with the sink cabinet, toilet, mirror -> Region 2 <room with the mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the mirror, lamp>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> room with the sink cabinet, toilet, mirror -> room with the office chair, desk, printer -> Region 2 <room with the mirror, lamp>", "B) Region 1 <room with the device, painting, lamp> -> Region 2 <room with the mirror, lamp>", "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the sink cabinet, toilet, mirror -> Region 2 <room with the mirror, lamp>", "D) Region 1 <room with the device, painting, lamp> -> room with the sink cabinet, toilet, mirror -> Region 2 <room with the mirror, lamp>"], "answer": "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the sink cabinet, toilet, mirror -> Region 2 <room with the mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route29/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the doormat, clock, painting>", "C) None", "D) None"], "answer": "A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) None", "B) None", "C) None", "D) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>"], "answer": "D) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route30/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the toilet, sink cabinet, mirror>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> Region 2 <room with the toilet, sink cabinet, mirror>", "B) Region 1 <room with the device, painting, lamp> -> room with the smoke alarm, wardrobe, bed -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>", "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>", "D) Region 1 <room with the device, painting, lamp> -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the toilet, sink cabinet, mirror>"], "answer": "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the office chair, desk, printer> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the office chair, desk, printer> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) Region 1 <room with the office chair, desk, printer> -> Region 2 <room with the smoke alarm, wardrobe, bed>", "C) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) Region 1 <room with the office chair, desk, printer> -> room with the device, painting, lamp -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "A) Region 1 <room with the office chair, desk, printer> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> room with the toilet, sink cabinet, mirror -> room with the office chair, desk, printer -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) Region 1 <room with the device, painting, lamp> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "C) Region 1 <room with the device, painting, lamp> -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "D) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route31/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ironing board, clock, washing machine> to Region 2 <room with the office chair, desk, printer>?", "options": ["A) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>", "B) Region 1 <room with the ironing board, clock, washing machine> -> Region 2 <room with the office chair, desk, printer>", "C) Region 1 <room with the ironing board, clock, washing machine> -> room with the doormat, clock, painting -> Region 2 <room with the office chair, desk, printer>", "D) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> room with the doormat, clock, painting -> Region 2 <room with the office chair, desk, printer>"], "answer": "A) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "B) Region 1 <room with the device, painting, lamp> -> room with the ironing board, clock, washing machine -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the ironing board, clock, washing machine -> Region 2 <room with the doormat, clock, painting>", "D) Region 1 <room with the device, painting, lamp> -> room with the ironing board, clock, washing machine -> Region 2 <room with the doormat, clock, painting>"], "answer": "A) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ironing board, clock, washing machine> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the ironing board, clock, washing machine> -> room with the office chair, desk, printer -> room with the device, painting, lamp -> Region 2 <room with the doormat, clock, painting>", "B) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "C) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> Region 2 <room with the doormat, clock, painting>", "D) Region 1 <room with the ironing board, clock, washing machine> -> Region 2 <room with the doormat, clock, painting>"], "answer": "B) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route32/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clock, washing stuff, washing machine> to Region 2 <room with the office chair, desk, printer>?", "options": ["A) Region 1 <room with the clock, washing stuff, washing machine> -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>", "B) Region 1 <room with the clock, washing stuff, washing machine> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the office chair, desk, printer>", "C) Region 1 <room with the clock, washing stuff, washing machine> -> room with the device, painting, lamp -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the office chair, desk, printer>", "D) Region 1 <room with the clock, washing stuff, washing machine> -> Region 2 <room with the office chair, desk, printer>"], "answer": "A) Region 1 <room with the clock, washing stuff, washing machine> -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the toilet, sink cabinet, mirror>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> room with the clock, washing stuff, washing machine -> Region 2 <room with the toilet, sink cabinet, mirror>", "B) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>", "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the clock, washing stuff, washing machine -> Region 2 <room with the toilet, sink cabinet, mirror>", "D) Region 1 <room with the device, painting, lamp> -> Region 2 <room with the toilet, sink cabinet, mirror>"], "answer": "B) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clock, washing stuff, washing machine> to Region 2 <room with the toilet, sink cabinet, mirror>?", "options": ["A) Region 1 <room with the clock, washing stuff, washing machine> -> room with the office chair, desk, printer -> room with the device, painting, lamp -> Region 2 <room with the toilet, sink cabinet, mirror>", "B) Region 1 <room with the clock, washing stuff, washing machine> -> room with the device, painting, lamp -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>", "C) Region 1 <room with the clock, washing stuff, washing machine> -> Region 2 <room with the toilet, sink cabinet, mirror>", "D) Region 1 <room with the clock, washing stuff, washing machine> -> room with the device, painting, lamp -> Region 2 <room with the toilet, sink cabinet, mirror>"], "answer": "B) Region 1 <room with the clock, washing stuff, washing machine> -> room with the device, painting, lamp -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route33/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ironing board, clock, washing machine> to Region 2 <room with the doormat, clock, painting>?", "options": ["A) Region 1 <room with the ironing board, clock, washing machine> -> room with the mirror, lamp -> room with the office chair, desk, printer -> room with the device, painting, lamp -> Region 2 <room with the doormat, clock, painting>", "B) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "C) Region 1 <room with the ironing board, clock, washing machine> -> room with the office chair, desk, printer -> room with the device, painting, lamp -> Region 2 <room with the doormat, clock, painting>", "D) Region 1 <room with the ironing board, clock, washing machine> -> room with the mirror, lamp -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>"], "answer": "B) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> room with the office chair, desk, printer -> Region 2 <room with the doormat, clock, painting>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the device, painting, lamp> to Region 2 <room with the mirror, lamp>?", "options": ["A) Region 1 <room with the device, painting, lamp> -> room with the ironing board, clock, washing machine -> room with the office chair, desk, printer -> Region 2 <room with the mirror, lamp>", "B) Region 1 <room with the device, painting, lamp> -> room with the ironing board, clock, washing machine -> Region 2 <room with the mirror, lamp>", "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "D) Region 1 <room with the device, painting, lamp> -> room with the doormat, clock, painting -> room with the ironing board, clock, washing machine -> room with the office chair, desk, printer -> Region 2 <room with the mirror, lamp>"], "answer": "C) Region 1 <room with the device, painting, lamp> -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ironing board, clock, washing machine> to Region 2 <room with the mirror, lamp>?", "options": ["A) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "B) Region 1 <room with the ironing board, clock, washing machine> -> room with the office chair, desk, printer -> room with the device, painting, lamp -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "C) Region 1 <room with the ironing board, clock, washing machine> -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "D) Region 1 <room with the ironing board, clock, washing machine> -> room with the doormat, clock, painting -> room with the office chair, desk, printer -> room with the device, painting, lamp -> Region 2 <room with the mirror, lamp>"], "answer": "A) Region 1 <room with the ironing board, clock, washing machine> -> room with the device, painting, lamp -> room with the office chair, desk, printer -> room with the doormat, clock, painting -> Region 2 <room with the mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, clock, painting> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the doormat, clock, painting> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) None", "C) Region 1 <room with the doormat, clock, painting> -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) None"], "answer": "A) Region 1 <room with the doormat, clock, painting> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route36/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route36/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, oven and stove, dishwasher> to Region 2 <room with the toilet, sink cabinet, mirror>?", "options": ["A) Region 1 <room with the carpet, oven and stove, dishwasher> -> Region 2 <room with the toilet, sink cabinet, mirror>", "B) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the smoke alarm, wardrobe, bed -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>", "C) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the smoke alarm, wardrobe, bed -> Region 2 <room with the toilet, sink cabinet, mirror>", "D) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>"], "answer": "D) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> Region 2 <room with the toilet, sink cabinet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the office chair, desk, printer> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the office chair, desk, printer> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) Region 1 <room with the office chair, desk, printer> -> Region 2 <room with the smoke alarm, wardrobe, bed>", "C) Region 1 <room with the office chair, desk, printer> -> room with the carpet, oven and stove, dishwasher -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) Region 1 <room with the office chair, desk, printer> -> room with the carpet, oven and stove, dishwasher -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "A) Region 1 <room with the office chair, desk, printer> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, oven and stove, dishwasher> to Region 2 <room with the smoke alarm, wardrobe, bed>?", "options": ["A) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "B) Region 1 <room with the carpet, oven and stove, dishwasher> -> Region 2 <room with the smoke alarm, wardrobe, bed>", "C) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> Region 2 <room with the smoke alarm, wardrobe, bed>", "D) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>"], "answer": "D) Region 1 <room with the carpet, oven and stove, dishwasher> -> room with the office chair, desk, printer -> room with the toilet, sink cabinet, mirror -> Region 2 <room with the smoke alarm, wardrobe, bed>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route4/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, pillow, lamp> to Region 2 <room with the office chair, desk, printer>?", "options": ["A) Region 1 <room with the bed, pillow, lamp> -> room with the device, painting, lamp -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "B) Region 1 <room with the bed, pillow, lamp> -> room with the device, painting, lamp -> Region 2 <room with the office chair, desk, printer>", "C) Region 1 <room with the bed, pillow, lamp> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "D) Region 1 <room with the bed, pillow, lamp> -> Region 2 <room with the office chair, desk, printer>"], "answer": "C) Region 1 <room with the bed, pillow, lamp> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the office chair, desk, printer>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> room with the bed, pillow, lamp -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the bed, pillow, lamp -> Region 2 <room with the device, painting, lamp>"], "answer": "A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, pillow, lamp> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the bed, pillow, lamp> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the bed, pillow, lamp> -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the bed, pillow, lamp> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the bed, pillow, lamp> -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>"], "answer": "C) Region 1 <room with the bed, pillow, lamp> -> room with the carpet, bowl of fruit, oven and stove -> room with the office chair, desk, printer -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, tv, fan> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the bed, tv, fan> -> room with the ironing board, clock, washing machine -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the bed, tv, fan> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the bed, tv, fan> -> room with the carpet, bowl of fruit, oven and stove -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the bed, tv, fan> -> Region 2 <room with the device, painting, lamp>"], "answer": "B) Region 1 <room with the bed, tv, fan> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, bowl of fruit, oven and stove> to Region 2 <room with the ironing board, clock, washing machine>?", "options": ["A) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the bed, tv, fan -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "B) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> Region 2 <room with the ironing board, clock, washing machine>", "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "D) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the device, painting, lamp -> room with the bed, tv, fan -> Region 2 <room with the ironing board, clock, washing machine>"], "answer": "C) Region 1 <room with the carpet, bowl of fruit, oven and stove> -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, tv, fan> to Region 2 <room with the ironing board, clock, washing machine>?", "options": ["A) Region 1 <room with the bed, tv, fan> -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the ironing board, clock, washing machine>", "B) Region 1 <room with the bed, tv, fan> -> room with the carpet, bowl of fruit, oven and stove -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "C) Region 1 <room with the bed, tv, fan> -> Region 2 <room with the ironing board, clock, washing machine>", "D) Region 1 <room with the bed, tv, fan> -> room with the device, painting, lamp -> room with the carpet, bowl of fruit, oven and stove -> Region 2 <room with the ironing board, clock, washing machine>"], "answer": "B) Region 1 <room with the bed, tv, fan> -> room with the carpet, bowl of fruit, oven and stove -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, bed, fan> to Region 2 <room with the ironing board, clock, washing machine>?", "options": ["A) Region 1 <room with the tv, bed, fan> -> room with the shower cabin, clothes hanger, cloth -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "B) Region 1 <room with the tv, bed, fan> -> room with the device, painting, lamp -> Region 2 <room with the ironing board, clock, washing machine>", "C) Region 1 <room with the tv, bed, fan> -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the ironing board, clock, washing machine>", "D) Region 1 <room with the tv, bed, fan> -> room with the device, painting, lamp -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the ironing board, clock, washing machine>"], "answer": "C) Region 1 <room with the tv, bed, fan> -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the ironing board, clock, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, clothes hanger, cloth> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the ironing board, clock, washing machine -> room with the tv, bed, fan -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the shower cabin, clothes hanger, cloth> -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the tv, bed, fan -> Region 2 <room with the device, painting, lamp>"], "answer": "A) Region 1 <room with the shower cabin, clothes hanger, cloth> -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, bed, fan> to Region 2 <room with the device, painting, lamp>?", "options": ["A) Region 1 <room with the tv, bed, fan> -> room with the ironing board, clock, washing machine -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the device, painting, lamp>", "B) Region 1 <room with the tv, bed, fan> -> room with the shower cabin, clothes hanger, cloth -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "C) Region 1 <room with the tv, bed, fan> -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "D) Region 1 <room with the tv, bed, fan> -> room with the shower cabin, clothes hanger, cloth -> Region 2 <room with the device, painting, lamp>"], "answer": "B) Region 1 <room with the tv, bed, fan> -> room with the shower cabin, clothes hanger, cloth -> room with the ironing board, clock, washing machine -> Region 2 <room with the device, painting, lamp>", "videos": ["dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/Nfvxx8J5NCo/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the note, box, self-closing mechanism> to Region 2 <room with the shower tap, shower floor, shower wall>?", "options": ["A) Region 1 <room with the note, box, self-closing mechanism> -> room with the bin, bowl of sweets, smoke detector -> Region 2 <room with the shower tap, shower floor, shower wall>", "B) Region 1 <room with the note, box, self-closing mechanism> -> room with the bathtub, toilet paper, bag -> room with the bin, bowl of sweets, smoke detector -> Region 2 <room with the shower tap, shower floor, shower wall>", "C) Region 1 <room with the note, box, self-closing mechanism> -> Region 2 <room with the shower tap, shower floor, shower wall>", "D) Region 1 <room with the note, box, self-closing mechanism> -> room with the bathtub, toilet paper, bag -> Region 2 <room with the shower tap, shower floor, shower wall>"], "answer": "A) Region 1 <room with the note, box, self-closing mechanism> -> room with the bin, bowl of sweets, smoke detector -> Region 2 <room with the shower tap, shower floor, shower wall>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, bowl of sweets, smoke detector> to Region 2 <room with the bathtub, toilet paper, bag>?", "options": ["A) Region 1 <room with the bin, bowl of sweets, smoke detector> -> room with the shower tap, shower floor, shower wall -> room with the note, box, self-closing mechanism -> Region 2 <room with the bathtub, toilet paper, bag>", "B) Region 1 <room with the bin, bowl of sweets, smoke detector> -> Region 2 <room with the bathtub, toilet paper, bag>", "C) Region 1 <room with the bin, bowl of sweets, smoke detector> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the bathtub, toilet paper, bag>", "D) Region 1 <room with the bin, bowl of sweets, smoke detector> -> room with the note, box, self-closing mechanism -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the bathtub, toilet paper, bag>"], "answer": "C) Region 1 <room with the bin, bowl of sweets, smoke detector> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the bathtub, toilet paper, bag>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the note, box, self-closing mechanism> to Region 2 <room with the bathtub, toilet paper, bag>?", "options": ["A) Region 1 <room with the note, box, self-closing mechanism> -> room with the bin, bowl of sweets, smoke detector -> Region 2 <room with the bathtub, toilet paper, bag>", "B) Region 1 <room with the note, box, self-closing mechanism> -> room with the shower tap, shower floor, shower wall -> room with the bin, bowl of sweets, smoke detector -> Region 2 <room with the bathtub, toilet paper, bag>", "C) Region 1 <room with the note, box, self-closing mechanism> -> room with the bin, bowl of sweets, smoke detector -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the bathtub, toilet paper, bag>", "D) Region 1 <room with the note, box, self-closing mechanism> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the bathtub, toilet paper, bag>"], "answer": "C) Region 1 <room with the note, box, self-closing mechanism> -> room with the bin, bowl of sweets, smoke detector -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the bathtub, toilet paper, bag>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the note, box, self-closing mechanism> to Region 2 <room with the shower tap, shower floor, shower wall>?", "options": ["A) Region 1 <room with the note, box, self-closing mechanism> -> room with the magazine, shelf, hanger -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "B) Region 1 <room with the note, box, self-closing mechanism> -> room with the magazine, shelf, hanger -> Region 2 <room with the shower tap, shower floor, shower wall>", "C) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "D) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> room with the magazine, shelf, hanger -> Region 2 <room with the shower tap, shower floor, shower wall>"], "answer": "C) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of sweets, smoke detector, tv stand> to Region 2 <room with the magazine, shelf, hanger>?", "options": ["A) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the note, box, self-closing mechanism -> Region 2 <room with the magazine, shelf, hanger>", "B) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> Region 2 <room with the magazine, shelf, hanger>", "C) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the note, box, self-closing mechanism -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, hanger>", "D) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, hanger>"], "answer": "D) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, hanger>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the note, box, self-closing mechanism> to Region 2 <room with the magazine, shelf, hanger>?", "options": ["A) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, hanger>", "B) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the magazine, shelf, hanger>", "C) Region 1 <room with the note, box, self-closing mechanism> -> Region 2 <room with the magazine, shelf, hanger>", "D) Region 1 <room with the note, box, self-closing mechanism> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, hanger>"], "answer": "A) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, hanger>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the note, box, self-closing mechanism> to Region 2 <room with the sign, bed, fire extinguisher>?", "options": ["A) Region 1 <room with the note, box, self-closing mechanism> -> Region 2 <room with the sign, bed, fire extinguisher>", "B) Region 1 <room with the note, box, self-closing mechanism> -> room with the pipe, bag, bathtub -> Region 2 <room with the sign, bed, fire extinguisher>", "C) Region 1 <room with the note, box, self-closing mechanism> -> room with the pipe, bag, bathtub -> room with the bowl of sweets, tv stand, statue -> Region 2 <room with the sign, bed, fire extinguisher>", "D) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, tv stand, statue -> Region 2 <room with the sign, bed, fire extinguisher>"], "answer": "D) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, tv stand, statue -> Region 2 <room with the sign, bed, fire extinguisher>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of sweets, tv stand, statue> to Region 2 <room with the pipe, bag, bathtub>?", "options": ["A) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the sign, bed, fire extinguisher -> room with the note, box, self-closing mechanism -> Region 2 <room with the pipe, bag, bathtub>", "B) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the sign, bed, fire extinguisher -> Region 2 <room with the pipe, bag, bathtub>", "C) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the note, box, self-closing mechanism -> Region 2 <room with the pipe, bag, bathtub>", "D) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the note, box, self-closing mechanism -> room with the sign, bed, fire extinguisher -> Region 2 <room with the pipe, bag, bathtub>"], "answer": "B) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the sign, bed, fire extinguisher -> Region 2 <room with the pipe, bag, bathtub>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the note, box, self-closing mechanism> to Region 2 <room with the pipe, bag, bathtub>?", "options": ["A) Region 1 <room with the note, box, self-closing mechanism> -> room with the sign, bed, fire extinguisher -> Region 2 <room with the pipe, bag, bathtub>", "B) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, tv stand, statue -> room with the sign, bed, fire extinguisher -> Region 2 <room with the pipe, bag, bathtub>", "C) Region 1 <room with the note, box, self-closing mechanism> -> room with the sign, bed, fire extinguisher -> room with the bowl of sweets, tv stand, statue -> Region 2 <room with the pipe, bag, bathtub>", "D) Region 1 <room with the note, box, self-closing mechanism> -> Region 2 <room with the pipe, bag, bathtub>"], "answer": "B) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, tv stand, statue -> room with the sign, bed, fire extinguisher -> Region 2 <room with the pipe, bag, bathtub>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the note, box, self-closing mechanism> to Region 2 <room with the shower tap, shower floor, shower wall>?", "options": ["A) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "B) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> room with the shelf, cabinet, hanger -> Region 2 <room with the shower tap, shower floor, shower wall>", "C) Region 1 <room with the note, box, self-closing mechanism> -> room with the shelf, cabinet, hanger -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "D) Region 1 <room with the note, box, self-closing mechanism> -> room with the shelf, cabinet, hanger -> Region 2 <room with the shower tap, shower floor, shower wall>"], "answer": "A) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of sweets, smoke detector, tv stand> to Region 2 <room with the shelf, cabinet, hanger>?", "options": ["A) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the note, box, self-closing mechanism -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the shelf, cabinet, hanger>", "B) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the shelf, cabinet, hanger>", "C) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the shower tap, shower floor, shower wall -> room with the note, box, self-closing mechanism -> Region 2 <room with the shelf, cabinet, hanger>", "D) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the note, box, self-closing mechanism -> Region 2 <room with the shelf, cabinet, hanger>"], "answer": "B) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the shelf, cabinet, hanger>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the note, box, self-closing mechanism> to Region 2 <room with the shelf, cabinet, hanger>?", "options": ["A) Region 1 <room with the note, box, self-closing mechanism> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the shelf, cabinet, hanger>", "B) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shelf, cabinet, hanger>", "C) Region 1 <room with the note, box, self-closing mechanism> -> room with the shower tap, shower floor, shower wall -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shelf, cabinet, hanger>", "D) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the shelf, cabinet, hanger>"], "answer": "D) Region 1 <room with the note, box, self-closing mechanism> -> room with the bowl of sweets, smoke detector, tv stand -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the shelf, cabinet, hanger>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of sweets, tv stand, statue> to Region 2 <room with the clothes, magazine, mirror>?", "options": ["A) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the shower ceiling, shower wall -> room with the sign, bed, fire extinguisher -> Region 2 <room with the clothes, magazine, mirror>", "B) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the shower ceiling, shower wall -> Region 2 <room with the clothes, magazine, mirror>", "C) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the sign, bed, fire extinguisher -> room with the shower ceiling, shower wall -> Region 2 <room with the clothes, magazine, mirror>", "D) Region 1 <room with the bowl of sweets, tv stand, statue> -> Region 2 <room with the clothes, magazine, mirror>"], "answer": "B) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the shower ceiling, shower wall -> Region 2 <room with the clothes, magazine, mirror>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower ceiling, shower wall> to Region 2 <room with the sign, bed, fire extinguisher>?", "options": ["A) Region 1 <room with the shower ceiling, shower wall> -> room with the bowl of sweets, tv stand, statue -> room with the clothes, magazine, mirror -> Region 2 <room with the sign, bed, fire extinguisher>", "B) Region 1 <room with the shower ceiling, shower wall> -> room with the bowl of sweets, tv stand, statue -> Region 2 <room with the sign, bed, fire extinguisher>", "C) Region 1 <room with the shower ceiling, shower wall> -> Region 2 <room with the sign, bed, fire extinguisher>", "D) Region 1 <room with the shower ceiling, shower wall> -> room with the clothes, magazine, mirror -> Region 2 <room with the sign, bed, fire extinguisher>"], "answer": "D) Region 1 <room with the shower ceiling, shower wall> -> room with the clothes, magazine, mirror -> Region 2 <room with the sign, bed, fire extinguisher>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of sweets, tv stand, statue> to Region 2 <room with the sign, bed, fire extinguisher>?", "options": ["A) Region 1 <room with the bowl of sweets, tv stand, statue> -> Region 2 <room with the sign, bed, fire extinguisher>", "B) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the shower ceiling, shower wall -> room with the clothes, magazine, mirror -> Region 2 <room with the sign, bed, fire extinguisher>", "C) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the shower ceiling, shower wall -> Region 2 <room with the sign, bed, fire extinguisher>", "D) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the clothes, magazine, mirror -> room with the shower ceiling, shower wall -> Region 2 <room with the sign, bed, fire extinguisher>"], "answer": "B) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the shower ceiling, shower wall -> room with the clothes, magazine, mirror -> Region 2 <room with the sign, bed, fire extinguisher>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the utensil, toilet, toilet paper> to Region 2 <room with the shower tap, shower ceiling, shower floor>?", "options": ["A) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bathtub utensil, pipe, bag -> room with the bin, sign, bowl of sweets -> Region 2 <room with the shower tap, shower ceiling, shower floor>", "B) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bathtub utensil, pipe, bag -> Region 2 <room with the shower tap, shower ceiling, shower floor>", "C) Region 1 <room with the utensil, toilet, toilet paper> -> Region 2 <room with the shower tap, shower ceiling, shower floor>", "D) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, sign, bowl of sweets -> Region 2 <room with the shower tap, shower ceiling, shower floor>"], "answer": "D) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, sign, bowl of sweets -> Region 2 <room with the shower tap, shower ceiling, shower floor>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, sign, bowl of sweets> to Region 2 <room with the bathtub utensil, pipe, bag>?", "options": ["A) Region 1 <room with the bin, sign, bowl of sweets> -> room with the utensil, toilet, toilet paper -> room with the shower tap, shower ceiling, shower floor -> Region 2 <room with the bathtub utensil, pipe, bag>", "B) Region 1 <room with the bin, sign, bowl of sweets> -> room with the utensil, toilet, toilet paper -> Region 2 <room with the bathtub utensil, pipe, bag>", "C) Region 1 <room with the bin, sign, bowl of sweets> -> Region 2 <room with the bathtub utensil, pipe, bag>", "D) Region 1 <room with the bin, sign, bowl of sweets> -> room with the shower tap, shower ceiling, shower floor -> Region 2 <room with the bathtub utensil, pipe, bag>"], "answer": "D) Region 1 <room with the bin, sign, bowl of sweets> -> room with the shower tap, shower ceiling, shower floor -> Region 2 <room with the bathtub utensil, pipe, bag>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the utensil, toilet, toilet paper> to Region 2 <room with the bathtub utensil, pipe, bag>?", "options": ["A) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, sign, bowl of sweets -> room with the shower tap, shower ceiling, shower floor -> Region 2 <room with the bathtub utensil, pipe, bag>", "B) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, sign, bowl of sweets -> Region 2 <room with the bathtub utensil, pipe, bag>", "C) Region 1 <room with the utensil, toilet, toilet paper> -> Region 2 <room with the bathtub utensil, pipe, bag>", "D) Region 1 <room with the utensil, toilet, toilet paper> -> room with the shower tap, shower ceiling, shower floor -> Region 2 <room with the bathtub utensil, pipe, bag>"], "answer": "A) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, sign, bowl of sweets -> room with the shower tap, shower ceiling, shower floor -> Region 2 <room with the bathtub utensil, pipe, bag>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the utensil, toilet, toilet paper> to Region 2 <room with the shower tap, shower floor, shower wall>?", "options": ["A) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, bowl of sweets, tv stand -> room with the sign, bed, fire extinguisher -> Region 2 <room with the shower tap, shower floor, shower wall>", "B) Region 1 <room with the utensil, toilet, toilet paper> -> Region 2 <room with the shower tap, shower floor, shower wall>", "C) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, bowl of sweets, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "D) Region 1 <room with the utensil, toilet, toilet paper> -> room with the sign, bed, fire extinguisher -> Region 2 <room with the shower tap, shower floor, shower wall>"], "answer": "C) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, bowl of sweets, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, bowl of sweets, tv stand> to Region 2 <room with the sign, bed, fire extinguisher>?", "options": ["A) Region 1 <room with the bin, bowl of sweets, tv stand> -> room with the utensil, toilet, toilet paper -> Region 2 <room with the sign, bed, fire extinguisher>", "B) Region 1 <room with the bin, bowl of sweets, tv stand> -> room with the shower tap, shower floor, shower wall -> room with the utensil, toilet, toilet paper -> Region 2 <room with the sign, bed, fire extinguisher>", "C) Region 1 <room with the bin, bowl of sweets, tv stand> -> Region 2 <room with the sign, bed, fire extinguisher>", "D) Region 1 <room with the bin, bowl of sweets, tv stand> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the sign, bed, fire extinguisher>"], "answer": "D) Region 1 <room with the bin, bowl of sweets, tv stand> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the sign, bed, fire extinguisher>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the utensil, toilet, toilet paper> to Region 2 <room with the sign, bed, fire extinguisher>?", "options": ["A) Region 1 <room with the utensil, toilet, toilet paper> -> Region 2 <room with the sign, bed, fire extinguisher>", "B) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, bowl of sweets, tv stand -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the sign, bed, fire extinguisher>", "C) Region 1 <room with the utensil, toilet, toilet paper> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the sign, bed, fire extinguisher>", "D) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, bowl of sweets, tv stand -> Region 2 <room with the sign, bed, fire extinguisher>"], "answer": "B) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bin, bowl of sweets, tv stand -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the sign, bed, fire extinguisher>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the utensil, toilet, toilet paper> to Region 2 <room with the sign, bed, fire extinguisher>?", "options": ["A) Region 1 <room with the utensil, toilet, toilet paper> -> room with the washbasin counter, bathtub utensil, bag -> Region 2 <room with the sign, bed, fire extinguisher>", "B) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, tv stand, statue -> Region 2 <room with the sign, bed, fire extinguisher>", "C) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, tv stand, statue -> room with the washbasin counter, bathtub utensil, bag -> Region 2 <room with the sign, bed, fire extinguisher>", "D) Region 1 <room with the utensil, toilet, toilet paper> -> Region 2 <room with the sign, bed, fire extinguisher>"], "answer": "B) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, tv stand, statue -> Region 2 <room with the sign, bed, fire extinguisher>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of sweets, tv stand, statue> to Region 2 <room with the washbasin counter, bathtub utensil, bag>?", "options": ["A) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the utensil, toilet, toilet paper -> room with the sign, bed, fire extinguisher -> Region 2 <room with the washbasin counter, bathtub utensil, bag>", "B) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the sign, bed, fire extinguisher -> room with the utensil, toilet, toilet paper -> Region 2 <room with the washbasin counter, bathtub utensil, bag>", "C) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the utensil, toilet, toilet paper -> Region 2 <room with the washbasin counter, bathtub utensil, bag>", "D) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the sign, bed, fire extinguisher -> Region 2 <room with the washbasin counter, bathtub utensil, bag>"], "answer": "D) Region 1 <room with the bowl of sweets, tv stand, statue> -> room with the sign, bed, fire extinguisher -> Region 2 <room with the washbasin counter, bathtub utensil, bag>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the utensil, toilet, toilet paper> to Region 2 <room with the washbasin counter, bathtub utensil, bag>?", "options": ["A) Region 1 <room with the utensil, toilet, toilet paper> -> Region 2 <room with the washbasin counter, bathtub utensil, bag>", "B) Region 1 <room with the utensil, toilet, toilet paper> -> room with the sign, bed, fire extinguisher -> room with the bowl of sweets, tv stand, statue -> Region 2 <room with the washbasin counter, bathtub utensil, bag>", "C) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, tv stand, statue -> room with the sign, bed, fire extinguisher -> Region 2 <room with the washbasin counter, bathtub utensil, bag>", "D) Region 1 <room with the utensil, toilet, toilet paper> -> room with the sign, bed, fire extinguisher -> Region 2 <room with the washbasin counter, bathtub utensil, bag>"], "answer": "C) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, tv stand, statue -> room with the sign, bed, fire extinguisher -> Region 2 <room with the washbasin counter, bathtub utensil, bag>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the utensil, toilet, toilet paper> to Region 2 <room with the shower tap, shower floor, shower wall>?", "options": ["A) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "B) Region 1 <room with the utensil, toilet, toilet paper> -> Region 2 <room with the shower tap, shower floor, shower wall>", "C) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, smoke detector, tv stand -> room with the magazine, shelf, cabinet -> Region 2 <room with the shower tap, shower floor, shower wall>", "D) Region 1 <room with the utensil, toilet, toilet paper> -> room with the magazine, shelf, cabinet -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>"], "answer": "A) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the shower tap, shower floor, shower wall>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of sweets, smoke detector, tv stand> to Region 2 <room with the magazine, shelf, cabinet>?", "options": ["A) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, cabinet>", "B) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> Region 2 <room with the magazine, shelf, cabinet>", "C) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the shower tap, shower floor, shower wall -> room with the utensil, toilet, toilet paper -> Region 2 <room with the magazine, shelf, cabinet>", "D) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the utensil, toilet, toilet paper -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, cabinet>"], "answer": "A) Region 1 <room with the bowl of sweets, smoke detector, tv stand> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the utensil, toilet, toilet paper> to Region 2 <room with the magazine, shelf, cabinet>?", "options": ["A) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, smoke detector, tv stand -> Region 2 <room with the magazine, shelf, cabinet>", "B) Region 1 <room with the utensil, toilet, toilet paper> -> Region 2 <room with the magazine, shelf, cabinet>", "C) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, smoke detector, tv stand -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, cabinet>", "D) Region 1 <room with the utensil, toilet, toilet paper> -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, cabinet>"], "answer": "C) Region 1 <room with the utensil, toilet, toilet paper> -> room with the bowl of sweets, smoke detector, tv stand -> room with the shower tap, shower floor, shower wall -> Region 2 <room with the magazine, shelf, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/QaLdnwvtxbs/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the decorative plate, fire alarm, led tv> to Region 2 <room with the kitchen shelf, bottle of soap, towel>?", "options": ["A) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the kitchen shelf, bottle of soap, towel>", "B) Region 1 <room with the decorative plate, fire alarm, led tv> -> Region 2 <room with the kitchen shelf, bottle of soap, towel>", "C) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the doormat, alarm, window curtain -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the kitchen shelf, bottle of soap, towel>", "D) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the doormat, alarm, window curtain -> Region 2 <room with the kitchen shelf, bottle of soap, towel>"], "answer": "A) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the kitchen shelf, bottle of soap, towel>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, towel -> room with the decorative plate, fire alarm, led tv -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the decorative plate, fire alarm, led tv -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the decorative plate, fire alarm, led tv -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the decorative plate, fire alarm, led tv> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the kitchen shelf, bottle of soap, towel -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "C) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the cabinet, pad, table -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the cabinet, pad, table -> room with the kitchen shelf, bottle of soap, bathroom shelf -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, bathroom shelf -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, bathroom shelf -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen shelf, bottle of soap, bathroom shelf> to Region 2 <room with the cabinet, pad, table>?", "options": ["A) Region 1 <room with the kitchen shelf, bottle of soap, bathroom shelf> -> Region 2 <room with the cabinet, pad, table>", "B) Region 1 <room with the kitchen shelf, bottle of soap, bathroom shelf> -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "C) Region 1 <room with the kitchen shelf, bottle of soap, bathroom shelf> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the cabinet, pad, table>", "D) Region 1 <room with the kitchen shelf, bottle of soap, bathroom shelf> -> room with the doormat, alarm, window curtain -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the cabinet, pad, table>"], "answer": "B) Region 1 <room with the kitchen shelf, bottle of soap, bathroom shelf> -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the cabinet, pad, table>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> Region 2 <room with the cabinet, pad, table>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the doormat, alarm, window curtain -> room with the kitchen shelf, bottle of soap, bathroom shelf -> Region 2 <room with the cabinet, pad, table>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, bathroom shelf -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, bathroom shelf -> Region 2 <room with the cabinet, pad, table>"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, bathroom shelf -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the toilet seat, hand soap, handle>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> Region 2 <room with the toilet seat, hand soap, handle>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, bathroom shelf -> Region 2 <room with the toilet seat, hand soap, handle>", "C) None", "D) None"], "answer": "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, bathroom shelf -> Region 2 <room with the toilet seat, hand soap, handle>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the alarm, doormat, window curtain>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the alarm, doormat, window curtain>", "B) None", "C) None", "D) None"], "answer": "A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the alarm, doormat, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route18/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the bath, bathroom cabinet, trashcan>?", "options": ["A) None", "B) None", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "D) None"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route19/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the decorative plate, fire alarm, led tv> to Region 2 <room with the bottle of soap, kitchen shelf, towel>?", "options": ["A) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the doormat, alarm, window curtain -> Region 2 <room with the bottle of soap, kitchen shelf, towel>", "B) Region 1 <room with the decorative plate, fire alarm, led tv> -> Region 2 <room with the bottle of soap, kitchen shelf, towel>", "C) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the doormat, alarm, window curtain -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the bottle of soap, kitchen shelf, towel>", "D) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the bottle of soap, kitchen shelf, towel>"], "answer": "D) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the bottle of soap, kitchen shelf, towel>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the decorative plate, fire alarm, led tv -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the decorative plate, fire alarm, led tv -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the decorative plate, fire alarm, led tv> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the decorative plate, fire alarm, led tv> -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the bottle of soap, kitchen shelf, towel -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "C) Region 1 <room with the decorative plate, fire alarm, led tv> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the bed, tissue box, dresser>?", "options": ["A) None", "B) None", "C) None", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the bed, tissue box, dresser>"], "answer": "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the bed, tissue box, dresser>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route20/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the cabinet, table, picture>?", "options": ["A) None", "B) None", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the cabinet, table, picture>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, table, picture>"], "answer": "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, table, picture>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet seat, bathroom shelf, toilet paper> to Region 2 <room with the doormat, window curtain, ventilation hood>?", "options": ["A) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the dresser, electrical controller, bed -> Region 2 <room with the doormat, window curtain, ventilation hood>", "B) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the kitchen shelf, bottle of soap, picture -> room with the dresser, electrical controller, bed -> Region 2 <room with the doormat, window curtain, ventilation hood>", "C) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the dresser, electrical controller, bed -> room with the kitchen shelf, bottle of soap, picture -> Region 2 <room with the doormat, window curtain, ventilation hood>", "D) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the kitchen shelf, bottle of soap, picture -> Region 2 <room with the doormat, window curtain, ventilation hood>"], "answer": "D) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the kitchen shelf, bottle of soap, picture -> Region 2 <room with the doormat, window curtain, ventilation hood>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen shelf, bottle of soap, picture> to Region 2 <room with the dresser, electrical controller, bed>?", "options": ["A) Region 1 <room with the kitchen shelf, bottle of soap, picture> -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the dresser, electrical controller, bed>", "B) Region 1 <room with the kitchen shelf, bottle of soap, picture> -> room with the toilet seat, bathroom shelf, toilet paper -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the dresser, electrical controller, bed>", "C) Region 1 <room with the kitchen shelf, bottle of soap, picture> -> room with the doormat, window curtain, ventilation hood -> room with the toilet seat, bathroom shelf, toilet paper -> Region 2 <room with the dresser, electrical controller, bed>", "D) Region 1 <room with the kitchen shelf, bottle of soap, picture> -> Region 2 <room with the dresser, electrical controller, bed>"], "answer": "A) Region 1 <room with the kitchen shelf, bottle of soap, picture> -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the dresser, electrical controller, bed>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet seat, bathroom shelf, toilet paper> to Region 2 <room with the dresser, electrical controller, bed>?", "options": ["A) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the kitchen shelf, bottle of soap, picture -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the dresser, electrical controller, bed>", "B) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> Region 2 <room with the dresser, electrical controller, bed>", "C) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the kitchen shelf, bottle of soap, picture -> Region 2 <room with the dresser, electrical controller, bed>", "D) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the doormat, window curtain, ventilation hood -> room with the kitchen shelf, bottle of soap, picture -> Region 2 <room with the dresser, electrical controller, bed>"], "answer": "A) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the kitchen shelf, bottle of soap, picture -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the dresser, electrical controller, bed>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route22/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet seat, bathroom shelf, toilet paper> to Region 2 <room with the doormat, window curtain, alarm>?", "options": ["A) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bath, bathroom cabinet, trashcan -> Region 2 <room with the doormat, window curtain, alarm>", "B) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, window curtain, alarm>", "C) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bath, bathroom cabinet, trashcan -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, window curtain, alarm>", "D) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> room with the bath, bathroom cabinet, trashcan -> Region 2 <room with the doormat, window curtain, alarm>"], "answer": "B) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, window curtain, alarm>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bottle of soap, kitchen shelf, towel> to Region 2 <room with the bath, bathroom cabinet, trashcan>?", "options": ["A) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, window curtain, alarm -> room with the toilet seat, bathroom shelf, toilet paper -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "B) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the toilet seat, bathroom shelf, toilet paper -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "C) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "D) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the toilet seat, bathroom shelf, toilet paper -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>"], "answer": "C) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet seat, bathroom shelf, toilet paper> to Region 2 <room with the bath, bathroom cabinet, trashcan>?", "options": ["A) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "B) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the doormat, window curtain, alarm -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "C) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "D) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the bath, bathroom cabinet, trashcan>"], "answer": "A) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route23/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet seat, ventilation, bathroom shelf> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> room with the bottle of soap, kitchen shelf, towel -> room with the wardrobe, bed, tissue box -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> room with the wardrobe, bed, tissue box -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "D) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bottle of soap, kitchen shelf, towel> to Region 2 <room with the wardrobe, bed, tissue box>?", "options": ["A) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> Region 2 <room with the wardrobe, bed, tissue box>", "B) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the toilet seat, ventilation, bathroom shelf -> room with the doormat, alarm, window curtain -> Region 2 <room with the wardrobe, bed, tissue box>", "C) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> Region 2 <room with the wardrobe, bed, tissue box>", "D) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> room with the toilet seat, ventilation, bathroom shelf -> Region 2 <room with the wardrobe, bed, tissue box>"], "answer": "A) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> Region 2 <room with the wardrobe, bed, tissue box>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet seat, ventilation, bathroom shelf> to Region 2 <room with the wardrobe, bed, tissue box>?", "options": ["A) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the wardrobe, bed, tissue box>", "B) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> room with the doormat, alarm, window curtain -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the wardrobe, bed, tissue box>", "C) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the wardrobe, bed, tissue box>", "D) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> Region 2 <room with the wardrobe, bed, tissue box>"], "answer": "C) Region 1 <room with the toilet seat, ventilation, bathroom shelf> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the wardrobe, bed, tissue box>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route24/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet seat, bathroom shelf, toilet paper> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> room with the cabinet, pad, table -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the cabinet, pad, table -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "A) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bottle of soap, kitchen shelf, towel> to Region 2 <room with the cabinet, pad, table>?", "options": ["A) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the toilet seat, bathroom shelf, toilet paper -> Region 2 <room with the cabinet, pad, table>", "B) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the toilet seat, bathroom shelf, toilet paper -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "C) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> Region 2 <room with the cabinet, pad, table>", "D) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>"], "answer": "D) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet seat, bathroom shelf, toilet paper> to Region 2 <room with the cabinet, pad, table>?", "options": ["A) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the cabinet, pad, table>", "B) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "C) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "D) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the doormat, alarm, window curtain -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the cabinet, pad, table>"], "answer": "C) Region 1 <room with the toilet seat, bathroom shelf, toilet paper> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen shelf, bathroom shelf, picture> to Region 2 <room with the bath, bathroom cabinet, ceiling vent>?", "options": ["A) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> Region 2 <room with the bath, bathroom cabinet, ceiling vent>", "B) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> room with the dresser, electrical controller, casket -> Region 2 <room with the bath, bathroom cabinet, ceiling vent>", "C) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> room with the window curtain, alarm, picture -> room with the dresser, electrical controller, casket -> Region 2 <room with the bath, bathroom cabinet, ceiling vent>", "D) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> room with the window curtain, alarm, picture -> Region 2 <room with the bath, bathroom cabinet, ceiling vent>"], "answer": "D) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> room with the window curtain, alarm, picture -> Region 2 <room with the bath, bathroom cabinet, ceiling vent>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the window curtain, alarm, picture> to Region 2 <room with the dresser, electrical controller, casket>?", "options": ["A) Region 1 <room with the window curtain, alarm, picture> -> Region 2 <room with the dresser, electrical controller, casket>", "B) Region 1 <room with the window curtain, alarm, picture> -> room with the bath, bathroom cabinet, ceiling vent -> Region 2 <room with the dresser, electrical controller, casket>", "C) Region 1 <room with the window curtain, alarm, picture> -> room with the bath, bathroom cabinet, ceiling vent -> room with the kitchen shelf, bathroom shelf, picture -> Region 2 <room with the dresser, electrical controller, casket>", "D) Region 1 <room with the window curtain, alarm, picture> -> room with the kitchen shelf, bathroom shelf, picture -> room with the bath, bathroom cabinet, ceiling vent -> Region 2 <room with the dresser, electrical controller, casket>"], "answer": "B) Region 1 <room with the window curtain, alarm, picture> -> room with the bath, bathroom cabinet, ceiling vent -> Region 2 <room with the dresser, electrical controller, casket>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen shelf, bathroom shelf, picture> to Region 2 <room with the dresser, electrical controller, casket>?", "options": ["A) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> Region 2 <room with the dresser, electrical controller, casket>", "B) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> room with the window curtain, alarm, picture -> room with the bath, bathroom cabinet, ceiling vent -> Region 2 <room with the dresser, electrical controller, casket>", "C) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> room with the bath, bathroom cabinet, ceiling vent -> room with the window curtain, alarm, picture -> Region 2 <room with the dresser, electrical controller, casket>", "D) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> room with the bath, bathroom cabinet, ceiling vent -> Region 2 <room with the dresser, electrical controller, casket>"], "answer": "B) Region 1 <room with the kitchen shelf, bathroom shelf, picture> -> room with the window curtain, alarm, picture -> room with the bath, bathroom cabinet, ceiling vent -> Region 2 <room with the dresser, electrical controller, casket>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bottle of soap, kitchen shelf> to Region 2 <room with the dresser, electrical controller, casket>?", "options": ["A) Region 1 <room with the bottle of soap, kitchen shelf> -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the dresser, electrical controller, casket>", "B) Region 1 <room with the bottle of soap, kitchen shelf> -> room with the doormat, window curtain, ventilation hood -> room with the cabinet, picture, chair -> Region 2 <room with the dresser, electrical controller, casket>", "C) Region 1 <room with the bottle of soap, kitchen shelf> -> room with the cabinet, picture, chair -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the dresser, electrical controller, casket>", "D) Region 1 <room with the bottle of soap, kitchen shelf> -> Region 2 <room with the dresser, electrical controller, casket>"], "answer": "A) Region 1 <room with the bottle of soap, kitchen shelf> -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the dresser, electrical controller, casket>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, window curtain, ventilation hood> to Region 2 <room with the cabinet, picture, chair>?", "options": ["A) Region 1 <room with the doormat, window curtain, ventilation hood> -> room with the dresser, electrical controller, casket -> Region 2 <room with the cabinet, picture, chair>", "B) Region 1 <room with the doormat, window curtain, ventilation hood> -> room with the dresser, electrical controller, casket -> room with the bottle of soap, kitchen shelf -> Region 2 <room with the cabinet, picture, chair>", "C) Region 1 <room with the doormat, window curtain, ventilation hood> -> room with the bottle of soap, kitchen shelf -> room with the dresser, electrical controller, casket -> Region 2 <room with the cabinet, picture, chair>", "D) Region 1 <room with the doormat, window curtain, ventilation hood> -> Region 2 <room with the cabinet, picture, chair>"], "answer": "A) Region 1 <room with the doormat, window curtain, ventilation hood> -> room with the dresser, electrical controller, casket -> Region 2 <room with the cabinet, picture, chair>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bottle of soap, kitchen shelf> to Region 2 <room with the cabinet, picture, chair>?", "options": ["A) Region 1 <room with the bottle of soap, kitchen shelf> -> room with the doormat, window curtain, ventilation hood -> room with the dresser, electrical controller, casket -> Region 2 <room with the cabinet, picture, chair>", "B) Region 1 <room with the bottle of soap, kitchen shelf> -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the cabinet, picture, chair>", "C) Region 1 <room with the bottle of soap, kitchen shelf> -> room with the dresser, electrical controller, casket -> Region 2 <room with the cabinet, picture, chair>", "D) Region 1 <room with the bottle of soap, kitchen shelf> -> room with the dresser, electrical controller, casket -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the cabinet, picture, chair>"], "answer": "A) Region 1 <room with the bottle of soap, kitchen shelf> -> room with the doormat, window curtain, ventilation hood -> room with the dresser, electrical controller, casket -> Region 2 <room with the cabinet, picture, chair>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen shelf, towel, picture> to Region 2 <room with the cabinet, pad, picture>?", "options": ["A) Region 1 <room with the kitchen shelf, towel, picture> -> room with the wardrobe, bed, dresser -> Region 2 <room with the cabinet, pad, picture>", "B) Region 1 <room with the kitchen shelf, towel, picture> -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, picture>", "C) Region 1 <room with the kitchen shelf, towel, picture> -> room with the doormat, alarm, window curtain -> room with the wardrobe, bed, dresser -> Region 2 <room with the cabinet, pad, picture>", "D) Region 1 <room with the kitchen shelf, towel, picture> -> Region 2 <room with the cabinet, pad, picture>"], "answer": "B) Region 1 <room with the kitchen shelf, towel, picture> -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, picture>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, alarm, window curtain> to Region 2 <room with the wardrobe, bed, dresser>?", "options": ["A) Region 1 <room with the doormat, alarm, window curtain> -> room with the cabinet, pad, picture -> room with the kitchen shelf, towel, picture -> Region 2 <room with the wardrobe, bed, dresser>", "B) Region 1 <room with the doormat, alarm, window curtain> -> room with the kitchen shelf, towel, picture -> room with the cabinet, pad, picture -> Region 2 <room with the wardrobe, bed, dresser>", "C) Region 1 <room with the doormat, alarm, window curtain> -> room with the kitchen shelf, towel, picture -> Region 2 <room with the wardrobe, bed, dresser>", "D) Region 1 <room with the doormat, alarm, window curtain> -> room with the cabinet, pad, picture -> Region 2 <room with the wardrobe, bed, dresser>"], "answer": "D) Region 1 <room with the doormat, alarm, window curtain> -> room with the cabinet, pad, picture -> Region 2 <room with the wardrobe, bed, dresser>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen shelf, towel, picture> to Region 2 <room with the wardrobe, bed, dresser>?", "options": ["A) Region 1 <room with the kitchen shelf, towel, picture> -> room with the doormat, alarm, window curtain -> room with the cabinet, pad, picture -> Region 2 <room with the wardrobe, bed, dresser>", "B) Region 1 <room with the kitchen shelf, towel, picture> -> room with the cabinet, pad, picture -> Region 2 <room with the wardrobe, bed, dresser>", "C) Region 1 <room with the kitchen shelf, towel, picture> -> room with the doormat, alarm, window curtain -> Region 2 <room with the wardrobe, bed, dresser>", "D) Region 1 <room with the kitchen shelf, towel, picture> -> Region 2 <room with the wardrobe, bed, dresser>"], "answer": "A) Region 1 <room with the kitchen shelf, towel, picture> -> room with the doormat, alarm, window curtain -> room with the cabinet, pad, picture -> Region 2 <room with the wardrobe, bed, dresser>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route28/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, bath, bath sink> to Region 2 <room with the cabinet, pad, table>?", "options": ["A) Region 1 <room with the bathroom cabinet, bath, bath sink> -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the cabinet, pad, table>", "B) Region 1 <room with the bathroom cabinet, bath, bath sink> -> room with the dresser, electrical controller, bed -> Region 2 <room with the cabinet, pad, table>", "C) Region 1 <room with the bathroom cabinet, bath, bath sink> -> room with the doormat, window curtain, ventilation hood -> room with the dresser, electrical controller, bed -> Region 2 <room with the cabinet, pad, table>", "D) Region 1 <room with the bathroom cabinet, bath, bath sink> -> Region 2 <room with the cabinet, pad, table>"], "answer": "A) Region 1 <room with the bathroom cabinet, bath, bath sink> -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the cabinet, pad, table>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the doormat, window curtain, ventilation hood> to Region 2 <room with the dresser, electrical controller, bed>?", "options": ["A) Region 1 <room with the doormat, window curtain, ventilation hood> -> room with the cabinet, pad, table -> Region 2 <room with the dresser, electrical controller, bed>", "B) Region 1 <room with the doormat, window curtain, ventilation hood> -> room with the bathroom cabinet, bath, bath sink -> room with the cabinet, pad, table -> Region 2 <room with the dresser, electrical controller, bed>", "C) Region 1 <room with the doormat, window curtain, ventilation hood> -> Region 2 <room with the dresser, electrical controller, bed>", "D) Region 1 <room with the doormat, window curtain, ventilation hood> -> room with the bathroom cabinet, bath, bath sink -> Region 2 <room with the dresser, electrical controller, bed>"], "answer": "A) Region 1 <room with the doormat, window curtain, ventilation hood> -> room with the cabinet, pad, table -> Region 2 <room with the dresser, electrical controller, bed>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, bath, bath sink> to Region 2 <room with the dresser, electrical controller, bed>?", "options": ["A) Region 1 <room with the bathroom cabinet, bath, bath sink> -> Region 2 <room with the dresser, electrical controller, bed>", "B) Region 1 <room with the bathroom cabinet, bath, bath sink> -> room with the cabinet, pad, table -> Region 2 <room with the dresser, electrical controller, bed>", "C) Region 1 <room with the bathroom cabinet, bath, bath sink> -> room with the cabinet, pad, table -> room with the doormat, window curtain, ventilation hood -> Region 2 <room with the dresser, electrical controller, bed>", "D) Region 1 <room with the bathroom cabinet, bath, bath sink> -> room with the doormat, window curtain, ventilation hood -> room with the cabinet, pad, table -> Region 2 <room with the dresser, electrical controller, bed>"], "answer": "D) Region 1 <room with the bathroom cabinet, bath, bath sink> -> room with the doormat, window curtain, ventilation hood -> room with the cabinet, pad, table -> Region 2 <room with the dresser, electrical controller, bed>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route29/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the balustrade, decorative plate, fire alarm> to Region 2 <room with the doormat, window curtain, alarm>?", "options": ["A) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the doormat, window curtain, alarm>", "B) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the kitchen shelf, bottle of soap, towel -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the doormat, window curtain, alarm>", "C) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the bath, bathroom cabinet, soap bottle -> Region 2 <room with the doormat, window curtain, alarm>", "D) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the doormat, window curtain, alarm>"], "answer": "A) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the doormat, window curtain, alarm>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the bath, bathroom cabinet, soap bottle>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the balustrade, decorative plate, fire alarm -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the doormat, window curtain, alarm -> room with the balustrade, decorative plate, fire alarm -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, towel -> room with the doormat, window curtain, alarm -> room with the balustrade, decorative plate, fire alarm -> Region 2 <room with the bath, bathroom cabinet, soap bottle>"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, bottle of soap, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the balustrade, decorative plate, fire alarm> to Region 2 <room with the bath, bathroom cabinet, soap bottle>?", "options": ["A) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, bottle of soap, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "B) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the doormat, window curtain, alarm -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "C) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "D) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the doormat, window curtain, alarm -> room with the kitchen shelf, bottle of soap, towel -> Region 2 <room with the bath, bathroom cabinet, soap bottle>"], "answer": "A) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, bottle of soap, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the decorative plate, fire alarm, alarm control> to Region 2 <room with the ventilation hood, doormat, alarm>?", "options": ["A) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, toilet paper, bottle of soap -> Region 2 <room with the ventilation hood, doormat, alarm>", "B) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the table lamp, electrical controller, chandelier -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, toilet paper, bottle of soap -> Region 2 <room with the ventilation hood, doormat, alarm>", "C) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the kitchen shelf, toilet paper, bottle of soap -> Region 2 <room with the ventilation hood, doormat, alarm>", "D) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the table lamp, electrical controller, chandelier -> room with the kitchen shelf, toilet paper, bottle of soap -> Region 2 <room with the ventilation hood, doormat, alarm>"], "answer": "A) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, toilet paper, bottle of soap -> Region 2 <room with the ventilation hood, doormat, alarm>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the table lamp, electrical controller, chandelier>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the decorative plate, fire alarm, alarm control -> Region 2 <room with the table lamp, electrical controller, chandelier>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, toilet paper, bottle of soap -> Region 2 <room with the table lamp, electrical controller, chandelier>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, toilet paper, bottle of soap -> room with the ventilation hood, doormat, alarm -> Region 2 <room with the table lamp, electrical controller, chandelier>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the decorative plate, fire alarm, alarm control -> room with the kitchen shelf, toilet paper, bottle of soap -> room with the ventilation hood, doormat, alarm -> Region 2 <room with the table lamp, electrical controller, chandelier>"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the kitchen shelf, toilet paper, bottle of soap -> room with the ventilation hood, doormat, alarm -> Region 2 <room with the table lamp, electrical controller, chandelier>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the decorative plate, fire alarm, alarm control> to Region 2 <room with the table lamp, electrical controller, chandelier>?", "options": ["A) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the ventilation hood, doormat, alarm -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, toilet paper, bottle of soap -> Region 2 <room with the table lamp, electrical controller, chandelier>", "B) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the ventilation hood, doormat, alarm -> room with the kitchen shelf, toilet paper, bottle of soap -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the table lamp, electrical controller, chandelier>", "C) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, toilet paper, bottle of soap -> room with the ventilation hood, doormat, alarm -> Region 2 <room with the table lamp, electrical controller, chandelier>", "D) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the kitchen shelf, toilet paper, bottle of soap -> room with the fruit bowl, kitchen countertop item, worktop -> room with the ventilation hood, doormat, alarm -> Region 2 <room with the table lamp, electrical controller, chandelier>"], "answer": "C) Region 1 <room with the decorative plate, fire alarm, alarm control> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the kitchen shelf, toilet paper, bottle of soap -> room with the ventilation hood, doormat, alarm -> Region 2 <room with the table lamp, electrical controller, chandelier>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the balustrade, decorative plate, fire alarm> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the bottle of soap, kitchen shelf, towel -> room with the cabinet, pad, table -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the cabinet, pad, table -> room with the fruit bowl, kitchen countertop item, worktop -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the bottle of soap, kitchen shelf, towel -> room with the cabinet, pad, table -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "B) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the cabinet, pad, table>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the balustrade, decorative plate, fire alarm -> Region 2 <room with the cabinet, pad, table>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the balustrade, decorative plate, fire alarm -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the balustrade, decorative plate, fire alarm -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the cabinet, pad, table>"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the balustrade, decorative plate, fire alarm> to Region 2 <room with the cabinet, pad, table>?", "options": ["A) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "B) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "C) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the doormat, alarm, window curtain -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the cabinet, pad, table>", "D) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>"], "answer": "A) Region 1 <room with the balustrade, decorative plate, fire alarm> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the cabinet, pad, table>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the doormat, window curtain, alarm>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> Region 2 <room with the doormat, window curtain, alarm>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bath, bathroom cabinet, trashcan -> Region 2 <room with the doormat, window curtain, alarm>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, window curtain, alarm>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the bath, bathroom cabinet, trashcan -> Region 2 <room with the doormat, window curtain, alarm>"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, window curtain, alarm>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bottle of soap, kitchen shelf, towel> to Region 2 <room with the bath, bathroom cabinet, trashcan>?", "options": ["A) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "B) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the fruit bowl, kitchen countertop item, worktop -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "C) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "D) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> Region 2 <room with the bath, bathroom cabinet, trashcan>"], "answer": "C) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the bath, bathroom cabinet, trashcan>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> Region 2 <room with the bath, bathroom cabinet, trashcan>"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, window curtain, alarm -> Region 2 <room with the bath, bathroom cabinet, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bath, bathroom cabinet, soap bottle -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bath, bathroom cabinet, soap bottle -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the bath, bathroom cabinet, soap bottle -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bottle of soap, kitchen shelf, towel> to Region 2 <room with the bath, bathroom cabinet, soap bottle>?", "options": ["A) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "B) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "C) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "D) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> Region 2 <room with the bath, bathroom cabinet, soap bottle>"], "answer": "D) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the bath, bathroom cabinet, soap bottle>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the doormat, alarm, window curtain -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the bath, bathroom cabinet, soap bottle>"], "answer": "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the bath, bathroom cabinet, soap bottle>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the doormat, alarm, window curtain>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bed, tissue box, dresser -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bed, tissue box, dresser -> Region 2 <room with the doormat, alarm, window curtain>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> Region 2 <room with the doormat, alarm, window curtain>"], "answer": "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the doormat, alarm, window curtain>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bottle of soap, kitchen shelf, towel> to Region 2 <room with the bed, tissue box, dresser>?", "options": ["A) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the bed, tissue box, dresser>", "B) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> Region 2 <room with the bed, tissue box, dresser>", "C) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the fruit bowl, kitchen countertop item, worktop -> Region 2 <room with the bed, tissue box, dresser>", "D) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> Region 2 <room with the bed, tissue box, dresser>"], "answer": "B) Region 1 <room with the bottle of soap, kitchen shelf, towel> -> room with the doormat, alarm, window curtain -> Region 2 <room with the bed, tissue box, dresser>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, kitchen countertop item, worktop> to Region 2 <room with the bed, tissue box, dresser>?", "options": ["A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the bed, tissue box, dresser>", "B) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> Region 2 <room with the bed, tissue box, dresser>", "C) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> Region 2 <room with the bed, tissue box, dresser>", "D) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the doormat, alarm, window curtain -> Region 2 <room with the bed, tissue box, dresser>"], "answer": "A) Region 1 <room with the fruit bowl, kitchen countertop item, worktop> -> room with the bottle of soap, kitchen shelf, towel -> room with the doormat, alarm, window curtain -> Region 2 <room with the bed, tissue box, dresser>", "videos": ["dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/TEEsavR23oF/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the alarm clock, computer, wall cabinet> to Region 2 <room with the cup, bowl, wine>?", "options": ["A) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, bowl, wine>", "B) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the towel, picture -> Region 2 <room with the cup, bowl, wine>", "C) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the towel, picture -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, bowl, wine>", "D) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> room with the towel, picture -> Region 2 <room with the cup, bowl, wine>"], "answer": "A) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, bowl, wine>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano, recessed wall, table cloth> to Region 2 <room with the towel, picture>?", "options": ["A) Region 1 <room with the piano, recessed wall, table cloth> -> Region 2 <room with the towel, picture>", "B) Region 1 <room with the piano, recessed wall, table cloth> -> room with the alarm clock, computer, wall cabinet -> room with the cup, bowl, wine -> Region 2 <room with the towel, picture>", "C) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bowl, wine -> room with the alarm clock, computer, wall cabinet -> Region 2 <room with the towel, picture>", "D) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bowl, wine -> Region 2 <room with the towel, picture>"], "answer": "D) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bowl, wine -> Region 2 <room with the towel, picture>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the alarm clock, computer, wall cabinet> to Region 2 <room with the towel, picture>?", "options": ["A) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the towel, picture>", "B) Region 1 <room with the alarm clock, computer, wall cabinet> -> Region 2 <room with the towel, picture>", "C) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> room with the cup, bowl, wine -> Region 2 <room with the towel, picture>", "D) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the cup, bowl, wine -> room with the piano, recessed wall, table cloth -> Region 2 <room with the towel, picture>"], "answer": "C) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> room with the cup, bowl, wine -> Region 2 <room with the towel, picture>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the monitor, alarm clock, computer> to Region 2 <room with the cup, bowl, wine>?", "options": ["A) Region 1 <room with the monitor, alarm clock, computer> -> room with the desk, printer, rocking chair -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, bowl, wine>", "B) Region 1 <room with the monitor, alarm clock, computer> -> room with the desk, printer, rocking chair -> Region 2 <room with the cup, bowl, wine>", "C) Region 1 <room with the monitor, alarm clock, computer> -> room with the piano, recessed wall, table cloth -> room with the desk, printer, rocking chair -> Region 2 <room with the cup, bowl, wine>", "D) Region 1 <room with the monitor, alarm clock, computer> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, bowl, wine>"], "answer": "D) Region 1 <room with the monitor, alarm clock, computer> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, bowl, wine>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano, recessed wall, table cloth> to Region 2 <room with the desk, printer, rocking chair>?", "options": ["A) Region 1 <room with the piano, recessed wall, table cloth> -> room with the monitor, alarm clock, computer -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, rocking chair>", "B) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, rocking chair>", "C) Region 1 <room with the piano, recessed wall, table cloth> -> room with the monitor, alarm clock, computer -> Region 2 <room with the desk, printer, rocking chair>", "D) Region 1 <room with the piano, recessed wall, table cloth> -> Region 2 <room with the desk, printer, rocking chair>"], "answer": "B) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, rocking chair>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the monitor, alarm clock, computer> to Region 2 <room with the desk, printer, rocking chair>?", "options": ["A) Region 1 <room with the monitor, alarm clock, computer> -> room with the cup, bowl, wine -> room with the piano, recessed wall, table cloth -> Region 2 <room with the desk, printer, rocking chair>", "B) Region 1 <room with the monitor, alarm clock, computer> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the desk, printer, rocking chair>", "C) Region 1 <room with the monitor, alarm clock, computer> -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, rocking chair>", "D) Region 1 <room with the monitor, alarm clock, computer> -> room with the piano, recessed wall, table cloth -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, rocking chair>"], "answer": "D) Region 1 <room with the monitor, alarm clock, computer> -> room with the piano, recessed wall, table cloth -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, rocking chair>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, bathtub utensil, bathroom towel> to Region 2 <room with the shoe, piano, recessed wall>?", "options": ["A) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> Region 2 <room with the shoe, piano, recessed wall>", "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the bottle, basket of something, bowl -> room with the desk chair, monitor, bed -> Region 2 <room with the shoe, piano, recessed wall>", "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the desk chair, monitor, bed -> Region 2 <room with the shoe, piano, recessed wall>", "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the bottle, basket of something, bowl -> room with the desk chair, monitor, bed -> Region 2 <room with the shoe, piano, recessed wall>"], "answer": "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the desk chair, monitor, bed -> Region 2 <room with the shoe, piano, recessed wall>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ventilation, picture, lamp> to Region 2 <room with the bottle, basket of something, bowl>?", "options": ["A) Region 1 <room with the ventilation, picture, lamp> -> room with the shower door, bathtub utensil, bathroom towel -> room with the desk chair, monitor, bed -> Region 2 <room with the bottle, basket of something, bowl>", "B) Region 1 <room with the ventilation, picture, lamp> -> room with the shower door, bathtub utensil, bathroom towel -> room with the shoe, piano, recessed wall -> room with the desk chair, monitor, bed -> Region 2 <room with the bottle, basket of something, bowl>", "C) Region 1 <room with the ventilation, picture, lamp> -> room with the shoe, piano, recessed wall -> room with the shower door, bathtub utensil, bathroom towel -> room with the desk chair, monitor, bed -> Region 2 <room with the bottle, basket of something, bowl>", "D) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, bed -> room with the shoe, piano, recessed wall -> Region 2 <room with the bottle, basket of something, bowl>"], "answer": "D) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, bed -> room with the shoe, piano, recessed wall -> Region 2 <room with the bottle, basket of something, bowl>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, bathtub utensil, bathroom towel> to Region 2 <room with the bottle, basket of something, bowl>?", "options": ["A) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the shoe, piano, recessed wall -> Region 2 <room with the bottle, basket of something, bowl>", "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the shoe, piano, recessed wall -> room with the ventilation, picture, lamp -> Region 2 <room with the bottle, basket of something, bowl>", "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the desk chair, monitor, bed -> Region 2 <room with the bottle, basket of something, bowl>", "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the desk chair, monitor, bed -> room with the shoe, piano, recessed wall -> Region 2 <room with the bottle, basket of something, bowl>"], "answer": "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the desk chair, monitor, bed -> room with the shoe, piano, recessed wall -> Region 2 <room with the bottle, basket of something, bowl>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route14/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, bathtub utensil, bathroom towel> to Region 2 <room with the bowl, wine, wall clock>?", "options": ["A) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the flowerpot, piano, recessed wall -> room with the shower hose/head, toilet, shower soap shelf -> Region 2 <room with the bowl, wine, wall clock>", "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the flowerpot, piano, recessed wall -> room with the shower hose/head, toilet, shower soap shelf -> room with the monitor, plush toy, alarm clock -> Region 2 <room with the bowl, wine, wall clock>", "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the monitor, plush toy, alarm clock -> room with the flowerpot, piano, recessed wall -> Region 2 <room with the bowl, wine, wall clock>", "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the flowerpot, piano, recessed wall -> room with the shower hose/head, toilet, shower soap shelf -> Region 2 <room with the bowl, wine, wall clock>"], "answer": "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the monitor, plush toy, alarm clock -> room with the flowerpot, piano, recessed wall -> Region 2 <room with the bowl, wine, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ventilation, picture, lamp> to Region 2 <room with the shower hose/head, toilet, shower soap shelf>?", "options": ["A) Region 1 <room with the ventilation, picture, lamp> -> room with the flowerpot, piano, recessed wall -> room with the monitor, plush toy, alarm clock -> room with the bowl, wine, wall clock -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>", "B) Region 1 <room with the ventilation, picture, lamp> -> room with the monitor, plush toy, alarm clock -> room with the bowl, wine, wall clock -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>", "C) Region 1 <room with the ventilation, picture, lamp> -> room with the flowerpot, piano, recessed wall -> room with the bowl, wine, wall clock -> room with the shower door, bathtub utensil, bathroom towel -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>", "D) Region 1 <room with the ventilation, picture, lamp> -> room with the monitor, plush toy, alarm clock -> room with the flowerpot, piano, recessed wall -> room with the bowl, wine, wall clock -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>"], "answer": "D) Region 1 <room with the ventilation, picture, lamp> -> room with the monitor, plush toy, alarm clock -> room with the flowerpot, piano, recessed wall -> room with the bowl, wine, wall clock -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, bathtub utensil, bathroom towel> to Region 2 <room with the shower hose/head, toilet, shower soap shelf>?", "options": ["A) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the bowl, wine, wall clock -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>", "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the bowl, wine, wall clock -> room with the flowerpot, piano, recessed wall -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>", "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the monitor, plush toy, alarm clock -> room with the flowerpot, piano, recessed wall -> room with the bowl, wine, wall clock -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>", "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the bowl, wine, wall clock -> room with the flowerpot, piano, recessed wall -> room with the ventilation, picture, lamp -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>"], "answer": "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the monitor, plush toy, alarm clock -> room with the flowerpot, piano, recessed wall -> room with the bowl, wine, wall clock -> Region 2 <room with the shower hose/head, toilet, shower soap shelf>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route15/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, bathtub utensil, bathroom towel> to Region 2 <room with the bowl, wine, wall clock>?", "options": ["A) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the monitor, chair stand, alarm clock -> room with the towel, picture -> room with the flowerpot, piano, recessed wall -> Region 2 <room with the bowl, wine, wall clock>", "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the monitor, chair stand, alarm clock -> room with the flowerpot, piano, recessed wall -> Region 2 <room with the bowl, wine, wall clock>", "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> Region 2 <room with the bowl, wine, wall clock>", "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the monitor, chair stand, alarm clock -> room with the towel, picture -> room with the ventilation, picture, lamp -> Region 2 <room with the bowl, wine, wall clock>"], "answer": "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the monitor, chair stand, alarm clock -> room with the flowerpot, piano, recessed wall -> Region 2 <room with the bowl, wine, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ventilation, picture, lamp> to Region 2 <room with the towel, picture>?", "options": ["A) Region 1 <room with the ventilation, picture, lamp> -> room with the monitor, chair stand, alarm clock -> room with the flowerpot, piano, recessed wall -> room with the bowl, wine, wall clock -> Region 2 <room with the towel, picture>", "B) Region 1 <room with the ventilation, picture, lamp> -> room with the shower door, bathtub utensil, bathroom towel -> room with the monitor, chair stand, alarm clock -> Region 2 <room with the towel, picture>", "C) Region 1 <room with the ventilation, picture, lamp> -> room with the bowl, wine, wall clock -> room with the monitor, chair stand, alarm clock -> Region 2 <room with the towel, picture>", "D) Region 1 <room with the ventilation, picture, lamp> -> room with the flowerpot, piano, recessed wall -> room with the shower door, bathtub utensil, bathroom towel -> Region 2 <room with the towel, picture>"], "answer": "A) Region 1 <room with the ventilation, picture, lamp> -> room with the monitor, chair stand, alarm clock -> room with the flowerpot, piano, recessed wall -> room with the bowl, wine, wall clock -> Region 2 <room with the towel, picture>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, bathtub utensil, bathroom towel> to Region 2 <room with the towel, picture>?", "options": ["A) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the flowerpot, piano, recessed wall -> room with the monitor, chair stand, alarm clock -> Region 2 <room with the towel, picture>", "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the monitor, chair stand, alarm clock -> room with the bowl, wine, wall clock -> room with the ventilation, picture, lamp -> Region 2 <room with the towel, picture>", "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the flowerpot, piano, recessed wall -> room with the monitor, chair stand, alarm clock -> room with the ventilation, picture, lamp -> Region 2 <room with the towel, picture>", "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the monitor, chair stand, alarm clock -> room with the flowerpot, piano, recessed wall -> room with the bowl, wine, wall clock -> Region 2 <room with the towel, picture>"], "answer": "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the monitor, chair stand, alarm clock -> room with the flowerpot, piano, recessed wall -> room with the bowl, wine, wall clock -> Region 2 <room with the towel, picture>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, bathtub utensil, bathroom towel> to Region 2 <room with the bowl, wine, wall clock>?", "options": ["A) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the flowerpot, piano, table cloth -> room with the desk chair, monitor, door/window -> Region 2 <room with the bowl, wine, wall clock>", "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the desk chair, monitor, door/window -> room with the flowerpot, piano, table cloth -> Region 2 <room with the bowl, wine, wall clock>", "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the flowerpot, piano, table cloth -> room with the vase, clock, display cabinet -> Region 2 <room with the bowl, wine, wall clock>", "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the flowerpot, piano, table cloth -> Region 2 <room with the bowl, wine, wall clock>"], "answer": "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the desk chair, monitor, door/window -> room with the flowerpot, piano, table cloth -> Region 2 <room with the bowl, wine, wall clock>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ventilation, picture, lamp> to Region 2 <room with the vase, clock, display cabinet>?", "options": ["A) Region 1 <room with the ventilation, picture, lamp> -> room with the bowl, wine, wall clock -> Region 2 <room with the vase, clock, display cabinet>", "B) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, door/window -> room with the flowerpot, piano, table cloth -> room with the bowl, wine, wall clock -> Region 2 <room with the vase, clock, display cabinet>", "C) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, door/window -> room with the flowerpot, piano, table cloth -> room with the shower door, bathtub utensil, bathroom towel -> Region 2 <room with the vase, clock, display cabinet>", "D) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, door/window -> room with the bowl, wine, wall clock -> Region 2 <room with the vase, clock, display cabinet>"], "answer": "B) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, door/window -> room with the flowerpot, piano, table cloth -> room with the bowl, wine, wall clock -> Region 2 <room with the vase, clock, display cabinet>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, bathtub utensil, bathroom towel> to Region 2 <room with the vase, clock, display cabinet>?", "options": ["A) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the flowerpot, piano, table cloth -> room with the desk chair, monitor, door/window -> room with the bowl, wine, wall clock -> Region 2 <room with the vase, clock, display cabinet>", "B) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the bowl, wine, wall clock -> room with the ventilation, picture, lamp -> room with the flowerpot, piano, table cloth -> Region 2 <room with the vase, clock, display cabinet>", "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the desk chair, monitor, door/window -> room with the flowerpot, piano, table cloth -> room with the bowl, wine, wall clock -> Region 2 <room with the vase, clock, display cabinet>", "D) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the desk chair, monitor, door/window -> room with the bowl, wine, wall clock -> Region 2 <room with the vase, clock, display cabinet>"], "answer": "C) Region 1 <room with the shower door, bathtub utensil, bathroom towel> -> room with the ventilation, picture, lamp -> room with the desk chair, monitor, door/window -> room with the flowerpot, piano, table cloth -> room with the bowl, wine, wall clock -> Region 2 <room with the vase, clock, display cabinet>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route17/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ventilation, picture, lamp> to Region 2 <room with the piano, recessed wall, table cloth>?", "options": ["A) Region 1 <room with the ventilation, picture, lamp> -> room with the cup, cabinet, basket of something -> room with the desk chair, monitor, tv -> Region 2 <room with the piano, recessed wall, table cloth>", "B) Region 1 <room with the ventilation, picture, lamp> -> room with the cup, cabinet, basket of something -> Region 2 <room with the piano, recessed wall, table cloth>", "C) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, tv -> room with the cup, cabinet, basket of something -> Region 2 <room with the piano, recessed wall, table cloth>", "D) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, tv -> Region 2 <room with the piano, recessed wall, table cloth>"], "answer": "D) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, tv -> Region 2 <room with the piano, recessed wall, table cloth>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk chair, monitor, tv> to Region 2 <room with the cup, cabinet, basket of something>?", "options": ["A) Region 1 <room with the desk chair, monitor, tv> -> room with the piano, recessed wall, table cloth -> room with the ventilation, picture, lamp -> Region 2 <room with the cup, cabinet, basket of something>", "B) Region 1 <room with the desk chair, monitor, tv> -> Region 2 <room with the cup, cabinet, basket of something>", "C) Region 1 <room with the desk chair, monitor, tv> -> room with the ventilation, picture, lamp -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, cabinet, basket of something>", "D) Region 1 <room with the desk chair, monitor, tv> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, cabinet, basket of something>"], "answer": "D) Region 1 <room with the desk chair, monitor, tv> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, cabinet, basket of something>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ventilation, picture, lamp> to Region 2 <room with the cup, cabinet, basket of something>?", "options": ["A) Region 1 <room with the ventilation, picture, lamp> -> room with the piano, recessed wall, table cloth -> room with the desk chair, monitor, tv -> Region 2 <room with the cup, cabinet, basket of something>", "B) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, tv -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, cabinet, basket of something>", "C) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, tv -> Region 2 <room with the cup, cabinet, basket of something>", "D) Region 1 <room with the ventilation, picture, lamp> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, cabinet, basket of something>"], "answer": "B) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, monitor, tv -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, cabinet, basket of something>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route19/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the plush toy, alarm clock, computer> to Region 2 <room with the shower hose/head, wardrobe, shower bench>?", "options": ["A) None", "B) Region 1 <room with the plush toy, alarm clock, computer> -> room with the piano, recessed wall, table cloth -> room with the bottle, bowl, wine -> Region 2 <room with the shower hose/head, wardrobe, shower bench>", "C) None", "D) None"], "answer": "B) Region 1 <room with the plush toy, alarm clock, computer> -> room with the piano, recessed wall, table cloth -> room with the bottle, bowl, wine -> Region 2 <room with the shower hose/head, wardrobe, shower bench>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the alarm clock, computer, wall cabinet> to Region 2 <room with the towel, picture>?", "options": ["A) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the towel, picture>", "B) None", "C) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the shoe, piano, recessed wall -> Region 2 <room with the towel, picture>", "D) None"], "answer": "A) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the towel, picture>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route22/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the computer, desk chair, telephone> to Region 2 <room with the toy, casket, vase>?", "options": ["A) None", "B) Region 1 <room with the computer, desk chair, telephone> -> room with the cup, bottle, bowl -> room with the piano, recessed wall, table cloth -> Region 2 <room with the toy, casket, vase>", "C) Region 1 <room with the computer, desk chair, telephone> -> room with the piano, recessed wall, table cloth -> room with the cup, bottle, bowl -> Region 2 <room with the toy, casket, vase>", "D) None"], "answer": "C) Region 1 <room with the computer, desk chair, telephone> -> room with the piano, recessed wall, table cloth -> room with the cup, bottle, bowl -> Region 2 <room with the toy, casket, vase>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route23/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the computer, desk chair, telephone> to Region 2 <room with the desk, printer, rocking chair>?", "options": ["A) None", "B) Region 1 <room with the computer, desk chair, telephone> -> room with the piano, table cloth, door/window -> room with the cup, bottle, bowl -> Region 2 <room with the desk, printer, rocking chair>", "C) Region 1 <room with the computer, desk chair, telephone> -> room with the cup, bottle, bowl -> Region 2 <room with the desk, printer, rocking chair>", "D) Region 1 <room with the computer, desk chair, telephone> -> room with the cup, bottle, bowl -> room with the piano, table cloth, door/window -> Region 2 <room with the desk, printer, rocking chair>"], "answer": "B) Region 1 <room with the computer, desk chair, telephone> -> room with the piano, table cloth, door/window -> room with the cup, bottle, bowl -> Region 2 <room with the desk, printer, rocking chair>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clothes rack, blanket, clothes> to Region 2 <room with the shoe, piano, recessed wall>?", "options": ["A) Region 1 <room with the clothes rack, blanket, clothes> -> room with the desk chair, casket, monitor -> Region 2 <room with the shoe, piano, recessed wall>", "B) Region 1 <room with the clothes rack, blanket, clothes> -> room with the basket of something, bowl, wine -> room with the desk chair, casket, monitor -> Region 2 <room with the shoe, piano, recessed wall>", "C) Region 1 <room with the clothes rack, blanket, clothes> -> room with the basket of something, bowl, wine -> Region 2 <room with the shoe, piano, recessed wall>", "D) Region 1 <room with the clothes rack, blanket, clothes> -> Region 2 <room with the shoe, piano, recessed wall>"], "answer": "A) Region 1 <room with the clothes rack, blanket, clothes> -> room with the desk chair, casket, monitor -> Region 2 <room with the shoe, piano, recessed wall>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk chair, casket, monitor> to Region 2 <room with the basket of something, bowl, wine>?", "options": ["A) Region 1 <room with the desk chair, casket, monitor> -> room with the shoe, piano, recessed wall -> room with the clothes rack, blanket, clothes -> Region 2 <room with the basket of something, bowl, wine>", "B) Region 1 <room with the desk chair, casket, monitor> -> room with the clothes rack, blanket, clothes -> Region 2 <room with the basket of something, bowl, wine>", "C) Region 1 <room with the desk chair, casket, monitor> -> room with the shoe, piano, recessed wall -> Region 2 <room with the basket of something, bowl, wine>", "D) Region 1 <room with the desk chair, casket, monitor> -> Region 2 <room with the basket of something, bowl, wine>"], "answer": "C) Region 1 <room with the desk chair, casket, monitor> -> room with the shoe, piano, recessed wall -> Region 2 <room with the basket of something, bowl, wine>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clothes rack, blanket, clothes> to Region 2 <room with the basket of something, bowl, wine>?", "options": ["A) Region 1 <room with the clothes rack, blanket, clothes> -> Region 2 <room with the basket of something, bowl, wine>", "B) Region 1 <room with the clothes rack, blanket, clothes> -> room with the desk chair, casket, monitor -> room with the shoe, piano, recessed wall -> Region 2 <room with the basket of something, bowl, wine>", "C) Region 1 <room with the clothes rack, blanket, clothes> -> room with the shoe, piano, recessed wall -> Region 2 <room with the basket of something, bowl, wine>", "D) Region 1 <room with the clothes rack, blanket, clothes> -> room with the shoe, piano, recessed wall -> room with the desk chair, casket, monitor -> Region 2 <room with the basket of something, bowl, wine>"], "answer": "B) Region 1 <room with the clothes rack, blanket, clothes> -> room with the desk chair, casket, monitor -> room with the shoe, piano, recessed wall -> Region 2 <room with the basket of something, bowl, wine>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route26/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, clothes rack, container> to Region 2 <room with the cup, bottle, bowl>?", "options": ["A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the dresser, computer, wall cabinet -> room with the piano, table cloth, door/window -> Region 2 <room with the cup, bottle, bowl>", "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the piano, table cloth, door/window -> room with the dresser, computer, wall cabinet -> Region 2 <room with the cup, bottle, bowl>", "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the dresser, computer, wall cabinet -> room with the shower hose/head, toilet, shower bench -> room with the piano, table cloth, door/window -> Region 2 <room with the cup, bottle, bowl>", "D) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the dresser, computer, wall cabinet -> room with the shower hose/head, toilet, shower bench -> Region 2 <room with the cup, bottle, bowl>"], "answer": "A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the dresser, computer, wall cabinet -> room with the piano, table cloth, door/window -> Region 2 <room with the cup, bottle, bowl>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dresser, computer, wall cabinet> to Region 2 <room with the shower hose/head, toilet, shower bench>?", "options": ["A) Region 1 <room with the dresser, computer, wall cabinet> -> room with the piano, table cloth, door/window -> room with the cup, bottle, bowl -> room with the ceiling dome, clothes rack, container -> Region 2 <room with the shower hose/head, toilet, shower bench>", "B) Region 1 <room with the dresser, computer, wall cabinet> -> room with the ceiling dome, clothes rack, container -> room with the cup, bottle, bowl -> room with the piano, table cloth, door/window -> Region 2 <room with the shower hose/head, toilet, shower bench>", "C) Region 1 <room with the dresser, computer, wall cabinet> -> room with the piano, table cloth, door/window -> Region 2 <room with the shower hose/head, toilet, shower bench>", "D) Region 1 <room with the dresser, computer, wall cabinet> -> room with the piano, table cloth, door/window -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, toilet, shower bench>"], "answer": "D) Region 1 <room with the dresser, computer, wall cabinet> -> room with the piano, table cloth, door/window -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, toilet, shower bench>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, clothes rack, container> to Region 2 <room with the shower hose/head, toilet, shower bench>?", "options": ["A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the dresser, computer, wall cabinet -> room with the piano, table cloth, door/window -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, toilet, shower bench>", "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the cup, bottle, bowl -> room with the dresser, computer, wall cabinet -> Region 2 <room with the shower hose/head, toilet, shower bench>", "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the piano, table cloth, door/window -> Region 2 <room with the shower hose/head, toilet, shower bench>", "D) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the cup, bottle, bowl -> room with the dresser, computer, wall cabinet -> room with the piano, table cloth, door/window -> Region 2 <room with the shower hose/head, toilet, shower bench>"], "answer": "A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the dresser, computer, wall cabinet -> room with the piano, table cloth, door/window -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, toilet, shower bench>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route27/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, clothes rack, container> to Region 2 <room with the cup, bowl, wine>?", "options": ["A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the shoe, piano, recessed wall -> room with the alarm clock, computer, wall cabinet -> Region 2 <room with the cup, bowl, wine>", "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the towel, rug, picture -> Region 2 <room with the cup, bowl, wine>", "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bowl, wine>", "D) Region 1 <room with the ceiling dome, clothes rack, container> -> Region 2 <room with the cup, bowl, wine>"], "answer": "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bowl, wine>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the alarm clock, computer, wall cabinet> to Region 2 <room with the towel, rug, picture>?", "options": ["A) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the cup, bowl, wine -> Region 2 <room with the towel, rug, picture>", "B) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the ceiling dome, clothes rack, container -> Region 2 <room with the towel, rug, picture>", "C) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the towel, rug, picture>", "D) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the ceiling dome, clothes rack, container -> room with the cup, bowl, wine -> room with the shoe, piano, recessed wall -> Region 2 <room with the towel, rug, picture>"], "answer": "C) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the towel, rug, picture>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, clothes rack, container> to Region 2 <room with the towel, rug, picture>?", "options": ["A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> room with the cup, bowl, wine -> Region 2 <room with the towel, rug, picture>", "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the towel, rug, picture>", "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the cup, bowl, wine -> room with the shoe, piano, recessed wall -> room with the alarm clock, computer, wall cabinet -> Region 2 <room with the towel, rug, picture>", "D) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the towel, rug, picture>"], "answer": "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the towel, rug, picture>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, clothes rack, container> to Region 2 <room with the cup, bowl, wine>?", "options": ["A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the desk chair, casket, bed -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bowl, wine>", "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the desk chair, casket, bed -> room with the shoe, piano, recessed wall -> room with the vase, clock, display cabinet -> Region 2 <room with the cup, bowl, wine>", "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the shoe, piano, recessed wall -> room with the desk chair, casket, bed -> room with the vase, clock, display cabinet -> Region 2 <room with the cup, bowl, wine>", "D) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the vase, clock, display cabinet -> Region 2 <room with the cup, bowl, wine>"], "answer": "A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the desk chair, casket, bed -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bowl, wine>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk chair, casket, bed> to Region 2 <room with the vase, clock, display cabinet>?", "options": ["A) Region 1 <room with the desk chair, casket, bed> -> room with the ceiling dome, clothes rack, container -> room with the cup, bowl, wine -> Region 2 <room with the vase, clock, display cabinet>", "B) Region 1 <room with the desk chair, casket, bed> -> room with the ceiling dome, clothes rack, container -> room with the shoe, piano, recessed wall -> Region 2 <room with the vase, clock, display cabinet>", "C) Region 1 <room with the desk chair, casket, bed> -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the vase, clock, display cabinet>", "D) Region 1 <room with the desk chair, casket, bed> -> room with the ceiling dome, clothes rack, container -> Region 2 <room with the vase, clock, display cabinet>"], "answer": "C) Region 1 <room with the desk chair, casket, bed> -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the vase, clock, display cabinet>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, clothes rack, container> to Region 2 <room with the vase, clock, display cabinet>?", "options": ["A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the cup, bowl, wine -> room with the shoe, piano, recessed wall -> Region 2 <room with the vase, clock, display cabinet>", "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the desk chair, casket, bed -> room with the cup, bowl, wine -> Region 2 <room with the vase, clock, display cabinet>", "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the desk chair, casket, bed -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the vase, clock, display cabinet>", "D) Region 1 <room with the ceiling dome, clothes rack, container> -> Region 2 <room with the vase, clock, display cabinet>"], "answer": "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the desk chair, casket, bed -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the vase, clock, display cabinet>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route29/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, clothes rack, container> to Region 2 <room with the cup, bowl, wine>?", "options": ["A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, bowl, wine>", "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> Region 2 <room with the cup, bowl, wine>", "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the piano, recessed wall, table cloth -> room with the alarm clock, computer, wall cabinet -> Region 2 <room with the cup, bowl, wine>", "D) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the piano, recessed wall, table cloth -> room with the desk, printer, trashcan -> Region 2 <room with the cup, bowl, wine>"], "answer": "A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> room with the piano, recessed wall, table cloth -> Region 2 <room with the cup, bowl, wine>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the alarm clock, computer, wall cabinet> to Region 2 <room with the desk, printer, trashcan>?", "options": ["A) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> room with the ceiling dome, clothes rack, container -> Region 2 <room with the desk, printer, trashcan>", "B) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the ceiling dome, clothes rack, container -> room with the piano, recessed wall, table cloth -> Region 2 <room with the desk, printer, trashcan>", "C) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, trashcan>", "D) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> room with the ceiling dome, clothes rack, container -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, trashcan>"], "answer": "C) Region 1 <room with the alarm clock, computer, wall cabinet> -> room with the piano, recessed wall, table cloth -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling dome, clothes rack, container> to Region 2 <room with the desk, printer, trashcan>?", "options": ["A) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, trashcan>", "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> room with the piano, recessed wall, table cloth -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, trashcan>", "C) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the piano, recessed wall, table cloth -> room with the cup, bowl, wine -> room with the alarm clock, computer, wall cabinet -> Region 2 <room with the desk, printer, trashcan>", "D) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the desk, printer, trashcan>"], "answer": "B) Region 1 <room with the ceiling dome, clothes rack, container> -> room with the alarm clock, computer, wall cabinet -> room with the piano, recessed wall, table cloth -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route30/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flowerpot, shoe, piano> to Region 2 <room with the shower hose/head, bathroom cabinet, toilet>?", "options": ["A) Region 1 <room with the flowerpot, shoe, piano> -> room with the towel, rug, lamp -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "B) Region 1 <room with the flowerpot, shoe, piano> -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "C) Region 1 <room with the flowerpot, shoe, piano> -> room with the cup, bowl, wine -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "D) Region 1 <room with the flowerpot, shoe, piano> -> room with the cup, bowl, wine -> room with the towel, rug, lamp -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>"], "answer": "C) Region 1 <room with the flowerpot, shoe, piano> -> room with the cup, bowl, wine -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cup, bowl, wine> to Region 2 <room with the towel, rug, lamp>?", "options": ["A) Region 1 <room with the cup, bowl, wine> -> room with the flowerpot, shoe, piano -> Region 2 <room with the towel, rug, lamp>", "B) Region 1 <room with the cup, bowl, wine> -> room with the shower hose/head, bathroom cabinet, toilet -> Region 2 <room with the towel, rug, lamp>", "C) Region 1 <room with the cup, bowl, wine> -> Region 2 <room with the towel, rug, lamp>", "D) Region 1 <room with the cup, bowl, wine> -> room with the shower hose/head, bathroom cabinet, toilet -> room with the flowerpot, shoe, piano -> Region 2 <room with the towel, rug, lamp>"], "answer": "B) Region 1 <room with the cup, bowl, wine> -> room with the shower hose/head, bathroom cabinet, toilet -> Region 2 <room with the towel, rug, lamp>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the flowerpot, shoe, piano> to Region 2 <room with the towel, rug, lamp>?", "options": ["A) Region 1 <room with the flowerpot, shoe, piano> -> room with the cup, bowl, wine -> room with the shower hose/head, bathroom cabinet, toilet -> Region 2 <room with the towel, rug, lamp>", "B) Region 1 <room with the flowerpot, shoe, piano> -> room with the shower hose/head, bathroom cabinet, toilet -> room with the cup, bowl, wine -> Region 2 <room with the towel, rug, lamp>", "C) Region 1 <room with the flowerpot, shoe, piano> -> Region 2 <room with the towel, rug, lamp>", "D) Region 1 <room with the flowerpot, shoe, piano> -> room with the shower hose/head, bathroom cabinet, toilet -> Region 2 <room with the towel, rug, lamp>"], "answer": "A) Region 1 <room with the flowerpot, shoe, piano> -> room with the cup, bowl, wine -> room with the shower hose/head, bathroom cabinet, toilet -> Region 2 <room with the towel, rug, lamp>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route31/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano, recessed wall, antique clock> to Region 2 <room with the rug, lamp, picture>?", "options": ["A) Region 1 <room with the piano, recessed wall, antique clock> -> room with the cup, bowl, wine -> Region 2 <room with the rug, lamp, picture>", "B) Region 1 <room with the piano, recessed wall, antique clock> -> room with the cup, bowl, wine -> room with the desk, printer, trashcan -> Region 2 <room with the rug, lamp, picture>", "C) Region 1 <room with the piano, recessed wall, antique clock> -> room with the desk, printer, trashcan -> Region 2 <room with the rug, lamp, picture>", "D) Region 1 <room with the piano, recessed wall, antique clock> -> room with the desk, printer, trashcan -> room with the cup, bowl, wine -> Region 2 <room with the rug, lamp, picture>"], "answer": "A) Region 1 <room with the piano, recessed wall, antique clock> -> room with the cup, bowl, wine -> Region 2 <room with the rug, lamp, picture>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cup, bowl, wine> to Region 2 <room with the desk, printer, trashcan>?", "options": ["A) Region 1 <room with the cup, bowl, wine> -> Region 2 <room with the desk, printer, trashcan>", "B) Region 1 <room with the cup, bowl, wine> -> room with the piano, recessed wall, antique clock -> Region 2 <room with the desk, printer, trashcan>", "C) Region 1 <room with the cup, bowl, wine> -> room with the rug, lamp, picture -> Region 2 <room with the desk, printer, trashcan>", "D) Region 1 <room with the cup, bowl, wine> -> room with the rug, lamp, picture -> room with the piano, recessed wall, antique clock -> Region 2 <room with the desk, printer, trashcan>"], "answer": "C) Region 1 <room with the cup, bowl, wine> -> room with the rug, lamp, picture -> Region 2 <room with the desk, printer, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano, recessed wall, antique clock> to Region 2 <room with the desk, printer, trashcan>?", "options": ["A) Region 1 <room with the piano, recessed wall, antique clock> -> Region 2 <room with the desk, printer, trashcan>", "B) Region 1 <room with the piano, recessed wall, antique clock> -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, trashcan>", "C) Region 1 <room with the piano, recessed wall, antique clock> -> room with the rug, lamp, picture -> room with the cup, bowl, wine -> Region 2 <room with the desk, printer, trashcan>", "D) Region 1 <room with the piano, recessed wall, antique clock> -> room with the cup, bowl, wine -> room with the rug, lamp, picture -> Region 2 <room with the desk, printer, trashcan>"], "answer": "D) Region 1 <room with the piano, recessed wall, antique clock> -> room with the cup, bowl, wine -> room with the rug, lamp, picture -> Region 2 <room with the desk, printer, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route32/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano, table cloth, antique clock> to Region 2 <room with the toy, casket, blanket>?", "options": ["A) Region 1 <room with the piano, table cloth, antique clock> -> Region 2 <room with the toy, casket, blanket>", "B) Region 1 <room with the piano, table cloth, antique clock> -> room with the cup, bottle, bowl -> Region 2 <room with the toy, casket, blanket>", "C) Region 1 <room with the piano, table cloth, antique clock> -> room with the cup, bottle, bowl -> room with the desk, printer, trashcan -> Region 2 <room with the toy, casket, blanket>", "D) Region 1 <room with the piano, table cloth, antique clock> -> room with the desk, printer, trashcan -> Region 2 <room with the toy, casket, blanket>"], "answer": "B) Region 1 <room with the piano, table cloth, antique clock> -> room with the cup, bottle, bowl -> Region 2 <room with the toy, casket, blanket>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cup, bottle, bowl> to Region 2 <room with the desk, printer, trashcan>?", "options": ["A) Region 1 <room with the cup, bottle, bowl> -> room with the toy, casket, blanket -> Region 2 <room with the desk, printer, trashcan>", "B) Region 1 <room with the cup, bottle, bowl> -> room with the piano, table cloth, antique clock -> room with the toy, casket, blanket -> Region 2 <room with the desk, printer, trashcan>", "C) Region 1 <room with the cup, bottle, bowl> -> room with the toy, casket, blanket -> room with the piano, table cloth, antique clock -> Region 2 <room with the desk, printer, trashcan>", "D) Region 1 <room with the cup, bottle, bowl> -> Region 2 <room with the desk, printer, trashcan>"], "answer": "A) Region 1 <room with the cup, bottle, bowl> -> room with the toy, casket, blanket -> Region 2 <room with the desk, printer, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano, table cloth, antique clock> to Region 2 <room with the desk, printer, trashcan>?", "options": ["A) Region 1 <room with the piano, table cloth, antique clock> -> Region 2 <room with the desk, printer, trashcan>", "B) Region 1 <room with the piano, table cloth, antique clock> -> room with the cup, bottle, bowl -> room with the toy, casket, blanket -> Region 2 <room with the desk, printer, trashcan>", "C) Region 1 <room with the piano, table cloth, antique clock> -> room with the cup, bottle, bowl -> Region 2 <room with the desk, printer, trashcan>", "D) Region 1 <room with the piano, table cloth, antique clock> -> room with the toy, casket, blanket -> room with the cup, bottle, bowl -> Region 2 <room with the desk, printer, trashcan>"], "answer": "B) Region 1 <room with the piano, table cloth, antique clock> -> room with the cup, bottle, bowl -> room with the toy, casket, blanket -> Region 2 <room with the desk, printer, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route33/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano, recessed wall, table cloth> to Region 2 <room with the desk, printer, trashcan>?", "options": ["A) Region 1 <room with the piano, recessed wall, table cloth> -> room with the shower bench, shower stall, bathroom cabinet -> room with the cup, bottle, bowl -> Region 2 <room with the desk, printer, trashcan>", "B) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bottle, bowl -> room with the shower bench, shower stall, bathroom cabinet -> Region 2 <room with the desk, printer, trashcan>", "C) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bottle, bowl -> Region 2 <room with the desk, printer, trashcan>", "D) Region 1 <room with the piano, recessed wall, table cloth> -> Region 2 <room with the desk, printer, trashcan>"], "answer": "C) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bottle, bowl -> Region 2 <room with the desk, printer, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cup, bottle, bowl> to Region 2 <room with the shower bench, shower stall, bathroom cabinet>?", "options": ["A) Region 1 <room with the cup, bottle, bowl> -> room with the piano, recessed wall, table cloth -> room with the desk, printer, trashcan -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>", "B) Region 1 <room with the cup, bottle, bowl> -> room with the desk, printer, trashcan -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>", "C) Region 1 <room with the cup, bottle, bowl> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>", "D) Region 1 <room with the cup, bottle, bowl> -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>"], "answer": "B) Region 1 <room with the cup, bottle, bowl> -> room with the desk, printer, trashcan -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano, recessed wall, table cloth> to Region 2 <room with the shower bench, shower stall, bathroom cabinet>?", "options": ["A) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bottle, bowl -> room with the desk, printer, trashcan -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>", "B) Region 1 <room with the piano, recessed wall, table cloth> -> room with the desk, printer, trashcan -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>", "C) Region 1 <room with the piano, recessed wall, table cloth> -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>", "D) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bottle, bowl -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>"], "answer": "A) Region 1 <room with the piano, recessed wall, table cloth> -> room with the cup, bottle, bowl -> room with the desk, printer, trashcan -> Region 2 <room with the shower bench, shower stall, bathroom cabinet>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, bed stand, blanket> to Region 2 <room with the cup, bottle, bowl>?", "options": ["A) Region 1 <room with the bed, bed stand, blanket> -> room with the wardrobe, shower bench, shower stall -> Region 2 <room with the cup, bottle, bowl>", "B) Region 1 <room with the bed, bed stand, blanket> -> room with the wardrobe, shower bench, shower stall -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bottle, bowl>", "C) Region 1 <room with the bed, bed stand, blanket> -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bottle, bowl>", "D) Region 1 <room with the bed, bed stand, blanket> -> room with the shoe, piano, recessed wall -> room with the wardrobe, shower bench, shower stall -> Region 2 <room with the cup, bottle, bowl>"], "answer": "A) Region 1 <room with the bed, bed stand, blanket> -> room with the wardrobe, shower bench, shower stall -> Region 2 <room with the cup, bottle, bowl>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, shower bench, shower stall> to Region 2 <room with the shoe, piano, recessed wall>?", "options": ["A) Region 1 <room with the wardrobe, shower bench, shower stall> -> room with the cup, bottle, bowl -> room with the bed, bed stand, blanket -> Region 2 <room with the shoe, piano, recessed wall>", "B) Region 1 <room with the wardrobe, shower bench, shower stall> -> room with the cup, bottle, bowl -> Region 2 <room with the shoe, piano, recessed wall>", "C) Region 1 <room with the wardrobe, shower bench, shower stall> -> Region 2 <room with the shoe, piano, recessed wall>", "D) Region 1 <room with the wardrobe, shower bench, shower stall> -> room with the bed, bed stand, blanket -> room with the cup, bottle, bowl -> Region 2 <room with the shoe, piano, recessed wall>"], "answer": "B) Region 1 <room with the wardrobe, shower bench, shower stall> -> room with the cup, bottle, bowl -> Region 2 <room with the shoe, piano, recessed wall>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, bed stand, blanket> to Region 2 <room with the shoe, piano, recessed wall>?", "options": ["A) Region 1 <room with the bed, bed stand, blanket> -> room with the wardrobe, shower bench, shower stall -> Region 2 <room with the shoe, piano, recessed wall>", "B) Region 1 <room with the bed, bed stand, blanket> -> Region 2 <room with the shoe, piano, recessed wall>", "C) Region 1 <room with the bed, bed stand, blanket> -> room with the cup, bottle, bowl -> room with the wardrobe, shower bench, shower stall -> Region 2 <room with the shoe, piano, recessed wall>", "D) Region 1 <room with the bed, bed stand, blanket> -> room with the wardrobe, shower bench, shower stall -> room with the cup, bottle, bowl -> Region 2 <room with the shoe, piano, recessed wall>"], "answer": "D) Region 1 <room with the bed, bed stand, blanket> -> room with the wardrobe, shower bench, shower stall -> room with the cup, bottle, bowl -> Region 2 <room with the shoe, piano, recessed wall>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the alarm clock, bed, bed stand> to Region 2 <room with the bottle, bowl, wine>?", "options": ["A) Region 1 <room with the alarm clock, bed, bed stand> -> room with the piano, recessed wall, table cloth -> Region 2 <room with the bottle, bowl, wine>", "B) Region 1 <room with the alarm clock, bed, bed stand> -> room with the piano, recessed wall, table cloth -> room with the shower bench, shower stall, shower glass -> Region 2 <room with the bottle, bowl, wine>", "C) Region 1 <room with the alarm clock, bed, bed stand> -> room with the shower bench, shower stall, shower glass -> Region 2 <room with the bottle, bowl, wine>", "D) Region 1 <room with the alarm clock, bed, bed stand> -> room with the shower bench, shower stall, shower glass -> room with the piano, recessed wall, table cloth -> Region 2 <room with the bottle, bowl, wine>"], "answer": "C) Region 1 <room with the alarm clock, bed, bed stand> -> room with the shower bench, shower stall, shower glass -> Region 2 <room with the bottle, bowl, wine>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower bench, shower stall, shower glass> to Region 2 <room with the piano, recessed wall, table cloth>?", "options": ["A) Region 1 <room with the shower bench, shower stall, shower glass> -> room with the bottle, bowl, wine -> Region 2 <room with the piano, recessed wall, table cloth>", "B) Region 1 <room with the shower bench, shower stall, shower glass> -> room with the bottle, bowl, wine -> room with the alarm clock, bed, bed stand -> Region 2 <room with the piano, recessed wall, table cloth>", "C) Region 1 <room with the shower bench, shower stall, shower glass> -> room with the alarm clock, bed, bed stand -> Region 2 <room with the piano, recessed wall, table cloth>", "D) Region 1 <room with the shower bench, shower stall, shower glass> -> Region 2 <room with the piano, recessed wall, table cloth>"], "answer": "A) Region 1 <room with the shower bench, shower stall, shower glass> -> room with the bottle, bowl, wine -> Region 2 <room with the piano, recessed wall, table cloth>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the alarm clock, bed, bed stand> to Region 2 <room with the piano, recessed wall, table cloth>?", "options": ["A) Region 1 <room with the alarm clock, bed, bed stand> -> room with the shower bench, shower stall, shower glass -> room with the bottle, bowl, wine -> Region 2 <room with the piano, recessed wall, table cloth>", "B) Region 1 <room with the alarm clock, bed, bed stand> -> Region 2 <room with the piano, recessed wall, table cloth>", "C) Region 1 <room with the alarm clock, bed, bed stand> -> room with the bottle, bowl, wine -> room with the shower bench, shower stall, shower glass -> Region 2 <room with the piano, recessed wall, table cloth>", "D) Region 1 <room with the alarm clock, bed, bed stand> -> room with the bottle, bowl, wine -> Region 2 <room with the piano, recessed wall, table cloth>"], "answer": "A) Region 1 <room with the alarm clock, bed, bed stand> -> room with the shower bench, shower stall, shower glass -> room with the bottle, bowl, wine -> Region 2 <room with the piano, recessed wall, table cloth>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the alarm clock, blanket, bed> to Region 2 <room with the toy, casket, vase>?", "options": ["A) Region 1 <room with the alarm clock, blanket, bed> -> Region 2 <room with the toy, casket, vase>", "B) Region 1 <room with the alarm clock, blanket, bed> -> room with the cup, bottle, bowl -> room with the shower bench, wardrobe, shower stall -> Region 2 <room with the toy, casket, vase>", "C) Region 1 <room with the alarm clock, blanket, bed> -> room with the shower bench, wardrobe, shower stall -> Region 2 <room with the toy, casket, vase>", "D) Region 1 <room with the alarm clock, blanket, bed> -> room with the cup, bottle, bowl -> Region 2 <room with the toy, casket, vase>"], "answer": "C) Region 1 <room with the alarm clock, blanket, bed> -> room with the shower bench, wardrobe, shower stall -> Region 2 <room with the toy, casket, vase>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower bench, wardrobe, shower stall> to Region 2 <room with the cup, bottle, bowl>?", "options": ["A) Region 1 <room with the shower bench, wardrobe, shower stall> -> Region 2 <room with the cup, bottle, bowl>", "B) Region 1 <room with the shower bench, wardrobe, shower stall> -> room with the toy, casket, vase -> Region 2 <room with the cup, bottle, bowl>", "C) Region 1 <room with the shower bench, wardrobe, shower stall> -> room with the toy, casket, vase -> room with the alarm clock, blanket, bed -> Region 2 <room with the cup, bottle, bowl>", "D) Region 1 <room with the shower bench, wardrobe, shower stall> -> room with the alarm clock, blanket, bed -> Region 2 <room with the cup, bottle, bowl>"], "answer": "B) Region 1 <room with the shower bench, wardrobe, shower stall> -> room with the toy, casket, vase -> Region 2 <room with the cup, bottle, bowl>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the alarm clock, blanket, bed> to Region 2 <room with the cup, bottle, bowl>?", "options": ["A) Region 1 <room with the alarm clock, blanket, bed> -> room with the toy, casket, vase -> room with the shower bench, wardrobe, shower stall -> Region 2 <room with the cup, bottle, bowl>", "B) Region 1 <room with the alarm clock, blanket, bed> -> room with the shower bench, wardrobe, shower stall -> room with the toy, casket, vase -> Region 2 <room with the cup, bottle, bowl>", "C) Region 1 <room with the alarm clock, blanket, bed> -> Region 2 <room with the cup, bottle, bowl>", "D) Region 1 <room with the alarm clock, blanket, bed> -> room with the shower bench, wardrobe, shower stall -> Region 2 <room with the cup, bottle, bowl>"], "answer": "B) Region 1 <room with the alarm clock, blanket, bed> -> room with the shower bench, wardrobe, shower stall -> room with the toy, casket, vase -> Region 2 <room with the cup, bottle, bowl>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk chair, tv, door/window> to Region 2 <room with the shower tap, shower door, bathtub utensil>?", "options": ["A) Region 1 <room with the desk chair, tv, door/window> -> room with the ventilation, picture, lamp -> Region 2 <room with the shower tap, shower door, bathtub utensil>", "B) Region 1 <room with the desk chair, tv, door/window> -> room with the ceiling dome, clothes rack, clutter -> room with the ventilation, picture, lamp -> Region 2 <room with the shower tap, shower door, bathtub utensil>", "C) Region 1 <room with the desk chair, tv, door/window> -> room with the ceiling dome, clothes rack, clutter -> Region 2 <room with the shower tap, shower door, bathtub utensil>", "D) Region 1 <room with the desk chair, tv, door/window> -> Region 2 <room with the shower tap, shower door, bathtub utensil>"], "answer": "A) Region 1 <room with the desk chair, tv, door/window> -> room with the ventilation, picture, lamp -> Region 2 <room with the shower tap, shower door, bathtub utensil>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ventilation, picture, lamp> to Region 2 <room with the ceiling dome, clothes rack, clutter>?", "options": ["A) Region 1 <room with the ventilation, picture, lamp> -> room with the shower tap, shower door, bathtub utensil -> room with the desk chair, tv, door/window -> Region 2 <room with the ceiling dome, clothes rack, clutter>", "B) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, tv, door/window -> room with the shower tap, shower door, bathtub utensil -> Region 2 <room with the ceiling dome, clothes rack, clutter>", "C) Region 1 <room with the ventilation, picture, lamp> -> room with the shower tap, shower door, bathtub utensil -> Region 2 <room with the ceiling dome, clothes rack, clutter>", "D) Region 1 <room with the ventilation, picture, lamp> -> room with the desk chair, tv, door/window -> Region 2 <room with the ceiling dome, clothes rack, clutter>"], "answer": "C) Region 1 <room with the ventilation, picture, lamp> -> room with the shower tap, shower door, bathtub utensil -> Region 2 <room with the ceiling dome, clothes rack, clutter>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk chair, tv, door/window> to Region 2 <room with the ceiling dome, clothes rack, clutter>?", "options": ["A) Region 1 <room with the desk chair, tv, door/window> -> room with the ventilation, picture, lamp -> room with the shower tap, shower door, bathtub utensil -> Region 2 <room with the ceiling dome, clothes rack, clutter>", "B) Region 1 <room with the desk chair, tv, door/window> -> room with the ventilation, picture, lamp -> Region 2 <room with the ceiling dome, clothes rack, clutter>", "C) Region 1 <room with the desk chair, tv, door/window> -> room with the shower tap, shower door, bathtub utensil -> Region 2 <room with the ceiling dome, clothes rack, clutter>", "D) Region 1 <room with the desk chair, tv, door/window> -> Region 2 <room with the ceiling dome, clothes rack, clutter>"], "answer": "A) Region 1 <room with the desk chair, tv, door/window> -> room with the ventilation, picture, lamp -> room with the shower tap, shower door, bathtub utensil -> Region 2 <room with the ceiling dome, clothes rack, clutter>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the plush toy, alarm clock, computer> to Region 2 <room with the cup, bottle, bowl>?", "options": ["A) Region 1 <room with the plush toy, alarm clock, computer> -> Region 2 <room with the cup, bottle, bowl>", "B) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bottle, bowl>", "C) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> room with the shower hose/head, shower bench, shower floor -> Region 2 <room with the cup, bottle, bowl>", "D) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shower hose/head, shower bench, shower floor -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bottle, bowl>"], "answer": "B) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bottle, bowl>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shoe, piano, recessed wall> to Region 2 <room with the shower hose/head, shower bench, shower floor>?", "options": ["A) Region 1 <room with the shoe, piano, recessed wall> -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, shower bench, shower floor>", "B) Region 1 <room with the shoe, piano, recessed wall> -> room with the plush toy, alarm clock, computer -> Region 2 <room with the shower hose/head, shower bench, shower floor>", "C) Region 1 <room with the shoe, piano, recessed wall> -> room with the plush toy, alarm clock, computer -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, shower bench, shower floor>", "D) Region 1 <room with the shoe, piano, recessed wall> -> Region 2 <room with the shower hose/head, shower bench, shower floor>"], "answer": "A) Region 1 <room with the shoe, piano, recessed wall> -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, shower bench, shower floor>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the plush toy, alarm clock, computer> to Region 2 <room with the shower hose/head, shower bench, shower floor>?", "options": ["A) Region 1 <room with the plush toy, alarm clock, computer> -> room with the cup, bottle, bowl -> room with the shoe, piano, recessed wall -> Region 2 <room with the shower hose/head, shower bench, shower floor>", "B) Region 1 <room with the plush toy, alarm clock, computer> -> Region 2 <room with the shower hose/head, shower bench, shower floor>", "C) Region 1 <room with the plush toy, alarm clock, computer> -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, shower bench, shower floor>", "D) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, shower bench, shower floor>"], "answer": "D) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> room with the cup, bottle, bowl -> Region 2 <room with the shower hose/head, shower bench, shower floor>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the plush toy, alarm clock, computer> to Region 2 <room with the cup, bowl, wine>?", "options": ["A) Region 1 <room with the plush toy, alarm clock, computer> -> Region 2 <room with the cup, bowl, wine>", "B) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> room with the shower hose/head, bathroom cabinet, toilet -> Region 2 <room with the cup, bowl, wine>", "C) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bowl, wine>", "D) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shower hose/head, bathroom cabinet, toilet -> Region 2 <room with the cup, bowl, wine>"], "answer": "C) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> Region 2 <room with the cup, bowl, wine>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shoe, piano, recessed wall> to Region 2 <room with the shower hose/head, bathroom cabinet, toilet>?", "options": ["A) Region 1 <room with the shoe, piano, recessed wall> -> room with the plush toy, alarm clock, computer -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "B) Region 1 <room with the shoe, piano, recessed wall> -> room with the plush toy, alarm clock, computer -> room with the cup, bowl, wine -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "C) Region 1 <room with the shoe, piano, recessed wall> -> room with the cup, bowl, wine -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "D) Region 1 <room with the shoe, piano, recessed wall> -> room with the cup, bowl, wine -> room with the plush toy, alarm clock, computer -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>"], "answer": "C) Region 1 <room with the shoe, piano, recessed wall> -> room with the cup, bowl, wine -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the plush toy, alarm clock, computer> to Region 2 <room with the shower hose/head, bathroom cabinet, toilet>?", "options": ["A) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "B) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "C) Region 1 <room with the plush toy, alarm clock, computer> -> room with the cup, bowl, wine -> room with the shoe, piano, recessed wall -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "D) Region 1 <room with the plush toy, alarm clock, computer> -> room with the cup, bowl, wine -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>"], "answer": "B) Region 1 <room with the plush toy, alarm clock, computer> -> room with the shoe, piano, recessed wall -> room with the cup, bowl, wine -> Region 2 <room with the shower hose/head, bathroom cabinet, toilet>", "videos": ["dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/VBzV5z6i1WS/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, tray, paper> to Region 2 <room with the thermostat, mirror, lamp>?", "options": ["A) Region 1 <room with the desk, tray, paper> -> room with the chest, lamp, beam -> room with the vent, toilet brush, towel bar -> Region 2 <room with the thermostat, mirror, lamp>", "B) Region 1 <room with the desk, tray, paper> -> Region 2 <room with the thermostat, mirror, lamp>", "C) Region 1 <room with the desk, tray, paper> -> room with the vent, toilet brush, towel bar -> Region 2 <room with the thermostat, mirror, lamp>", "D) Region 1 <room with the desk, tray, paper> -> room with the chest, lamp, beam -> Region 2 <room with the thermostat, mirror, lamp>"], "answer": "D) Region 1 <room with the desk, tray, paper> -> room with the chest, lamp, beam -> Region 2 <room with the thermostat, mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the chest, lamp, beam> to Region 2 <room with the vent, toilet brush, towel bar>?", "options": ["A) Region 1 <room with the chest, lamp, beam> -> room with the thermostat, mirror, lamp -> room with the desk, tray, paper -> Region 2 <room with the vent, toilet brush, towel bar>", "B) Region 1 <room with the chest, lamp, beam> -> room with the thermostat, mirror, lamp -> Region 2 <room with the vent, toilet brush, towel bar>", "C) Region 1 <room with the chest, lamp, beam> -> Region 2 <room with the vent, toilet brush, towel bar>", "D) Region 1 <room with the chest, lamp, beam> -> room with the desk, tray, paper -> room with the thermostat, mirror, lamp -> Region 2 <room with the vent, toilet brush, towel bar>"], "answer": "B) Region 1 <room with the chest, lamp, beam> -> room with the thermostat, mirror, lamp -> Region 2 <room with the vent, toilet brush, towel bar>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, tray, paper> to Region 2 <room with the vent, toilet brush, towel bar>?", "options": ["A) Region 1 <room with the desk, tray, paper> -> Region 2 <room with the vent, toilet brush, towel bar>", "B) Region 1 <room with the desk, tray, paper> -> room with the chest, lamp, beam -> room with the thermostat, mirror, lamp -> Region 2 <room with the vent, toilet brush, towel bar>", "C) Region 1 <room with the desk, tray, paper> -> room with the thermostat, mirror, lamp -> room with the chest, lamp, beam -> Region 2 <room with the vent, toilet brush, towel bar>", "D) Region 1 <room with the desk, tray, paper> -> room with the chest, lamp, beam -> Region 2 <room with the vent, toilet brush, towel bar>"], "answer": "B) Region 1 <room with the desk, tray, paper> -> room with the chest, lamp, beam -> room with the thermostat, mirror, lamp -> Region 2 <room with the vent, toilet brush, towel bar>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rail, pot, candle> to Region 2 <room with the wardrobe, towel, nightstand>?", "options": ["A) None", "B) Region 1 <room with the rail, pot, candle> -> room with the chest, sign, mirror -> room with the thermostat, lamp -> Region 2 <room with the wardrobe, towel, nightstand>", "C) Region 1 <room with the rail, pot, candle> -> Region 2 <room with the wardrobe, towel, nightstand>", "D) None"], "answer": "B) Region 1 <room with the rail, pot, candle> -> room with the chest, sign, mirror -> room with the thermostat, lamp -> Region 2 <room with the wardrobe, towel, nightstand>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dustbin, bowl, lamp> to Region 2 <room with the sink, shelf, toilet brush>?", "options": ["A) Region 1 <room with the dustbin, bowl, lamp> -> room with the thermostat, mirror, lamp -> room with the wardrobe, towel, pillow -> Region 2 <room with the sink, shelf, toilet brush>", "B) Region 1 <room with the dustbin, bowl, lamp> -> room with the thermostat, mirror, lamp -> Region 2 <room with the sink, shelf, toilet brush>", "C) Region 1 <room with the dustbin, bowl, lamp> -> room with the wardrobe, towel, pillow -> Region 2 <room with the sink, shelf, toilet brush>", "D) Region 1 <room with the dustbin, bowl, lamp> -> room with the wardrobe, towel, pillow -> room with the thermostat, mirror, lamp -> Region 2 <room with the sink, shelf, toilet brush>"], "answer": "B) Region 1 <room with the dustbin, bowl, lamp> -> room with the thermostat, mirror, lamp -> Region 2 <room with the sink, shelf, toilet brush>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the thermostat, mirror, lamp> to Region 2 <room with the wardrobe, towel, pillow>?", "options": ["A) Region 1 <room with the thermostat, mirror, lamp> -> room with the dustbin, bowl, lamp -> room with the sink, shelf, toilet brush -> Region 2 <room with the wardrobe, towel, pillow>", "B) Region 1 <room with the thermostat, mirror, lamp> -> Region 2 <room with the wardrobe, towel, pillow>", "C) Region 1 <room with the thermostat, mirror, lamp> -> room with the dustbin, bowl, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "D) Region 1 <room with the thermostat, mirror, lamp> -> room with the sink, shelf, toilet brush -> Region 2 <room with the wardrobe, towel, pillow>"], "answer": "D) Region 1 <room with the thermostat, mirror, lamp> -> room with the sink, shelf, toilet brush -> Region 2 <room with the wardrobe, towel, pillow>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dustbin, bowl, lamp> to Region 2 <room with the wardrobe, towel, pillow>?", "options": ["A) Region 1 <room with the dustbin, bowl, lamp> -> Region 2 <room with the wardrobe, towel, pillow>", "B) Region 1 <room with the dustbin, bowl, lamp> -> room with the thermostat, mirror, lamp -> room with the sink, shelf, toilet brush -> Region 2 <room with the wardrobe, towel, pillow>", "C) Region 1 <room with the dustbin, bowl, lamp> -> room with the sink, shelf, toilet brush -> room with the thermostat, mirror, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "D) Region 1 <room with the dustbin, bowl, lamp> -> room with the thermostat, mirror, lamp -> Region 2 <room with the wardrobe, towel, pillow>"], "answer": "B) Region 1 <room with the dustbin, bowl, lamp> -> room with the thermostat, mirror, lamp -> room with the sink, shelf, toilet brush -> Region 2 <room with the wardrobe, towel, pillow>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the chest, dustbin, lamp> to Region 2 <room with the wardrobe, towel, pillow>?", "options": ["A) Region 1 <room with the chest, dustbin, lamp> -> room with the thermostat, lamp -> room with the mirror, sink, vent -> Region 2 <room with the wardrobe, towel, pillow>", "B) Region 1 <room with the chest, dustbin, lamp> -> room with the mirror, sink, vent -> room with the thermostat, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "C) Region 1 <room with the chest, dustbin, lamp> -> room with the mirror, sink, vent -> Region 2 <room with the wardrobe, towel, pillow>", "D) Region 1 <room with the chest, dustbin, lamp> -> room with the thermostat, lamp -> Region 2 <room with the wardrobe, towel, pillow>"], "answer": "D) Region 1 <room with the chest, dustbin, lamp> -> room with the thermostat, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the thermostat, lamp> to Region 2 <room with the mirror, sink, vent>?", "options": ["A) Region 1 <room with the thermostat, lamp> -> room with the wardrobe, towel, pillow -> room with the chest, dustbin, lamp -> Region 2 <room with the mirror, sink, vent>", "B) Region 1 <room with the thermostat, lamp> -> Region 2 <room with the mirror, sink, vent>", "C) Region 1 <room with the thermostat, lamp> -> room with the chest, dustbin, lamp -> Region 2 <room with the mirror, sink, vent>", "D) Region 1 <room with the thermostat, lamp> -> room with the wardrobe, towel, pillow -> Region 2 <room with the mirror, sink, vent>"], "answer": "D) Region 1 <room with the thermostat, lamp> -> room with the wardrobe, towel, pillow -> Region 2 <room with the mirror, sink, vent>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the chest, dustbin, lamp> to Region 2 <room with the mirror, sink, vent>?", "options": ["A) Region 1 <room with the chest, dustbin, lamp> -> room with the thermostat, lamp -> Region 2 <room with the mirror, sink, vent>", "B) Region 1 <room with the chest, dustbin, lamp> -> room with the thermostat, lamp -> room with the wardrobe, towel, pillow -> Region 2 <room with the mirror, sink, vent>", "C) Region 1 <room with the chest, dustbin, lamp> -> room with the wardrobe, towel, pillow -> room with the thermostat, lamp -> Region 2 <room with the mirror, sink, vent>", "D) Region 1 <room with the chest, dustbin, lamp> -> Region 2 <room with the mirror, sink, vent>"], "answer": "B) Region 1 <room with the chest, dustbin, lamp> -> room with the thermostat, lamp -> room with the wardrobe, towel, pillow -> Region 2 <room with the mirror, sink, vent>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, tray, paper> to Region 2 <room with the thermostat, mirror, lamp>?", "options": ["A) Region 1 <room with the desk, tray, paper> -> room with the nightstand, wardrobe, towel -> room with the chest, box, sign -> Region 2 <room with the thermostat, mirror, lamp>", "B) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> Region 2 <room with the thermostat, mirror, lamp>", "C) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> room with the nightstand, wardrobe, towel -> Region 2 <room with the thermostat, mirror, lamp>", "D) Region 1 <room with the desk, tray, paper> -> room with the nightstand, wardrobe, towel -> Region 2 <room with the thermostat, mirror, lamp>"], "answer": "B) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> Region 2 <room with the thermostat, mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the chest, box, sign> to Region 2 <room with the nightstand, wardrobe, towel>?", "options": ["A) Region 1 <room with the chest, box, sign> -> room with the thermostat, mirror, lamp -> Region 2 <room with the nightstand, wardrobe, towel>", "B) Region 1 <room with the chest, box, sign> -> room with the desk, tray, paper -> Region 2 <room with the nightstand, wardrobe, towel>", "C) Region 1 <room with the chest, box, sign> -> room with the thermostat, mirror, lamp -> room with the desk, tray, paper -> Region 2 <room with the nightstand, wardrobe, towel>", "D) Region 1 <room with the chest, box, sign> -> Region 2 <room with the nightstand, wardrobe, towel>"], "answer": "A) Region 1 <room with the chest, box, sign> -> room with the thermostat, mirror, lamp -> Region 2 <room with the nightstand, wardrobe, towel>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, tray, paper> to Region 2 <room with the nightstand, wardrobe, towel>?", "options": ["A) Region 1 <room with the desk, tray, paper> -> room with the thermostat, mirror, lamp -> room with the chest, box, sign -> Region 2 <room with the nightstand, wardrobe, towel>", "B) Region 1 <room with the desk, tray, paper> -> room with the thermostat, mirror, lamp -> Region 2 <room with the nightstand, wardrobe, towel>", "C) Region 1 <room with the desk, tray, paper> -> Region 2 <room with the nightstand, wardrobe, towel>", "D) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> room with the thermostat, mirror, lamp -> Region 2 <room with the nightstand, wardrobe, towel>"], "answer": "D) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> room with the thermostat, mirror, lamp -> Region 2 <room with the nightstand, wardrobe, towel>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, tray, paper> to Region 2 <room with the thermostat, mirror, lamp>?", "options": ["A) Region 1 <room with the desk, tray, paper> -> Region 2 <room with the thermostat, mirror, lamp>", "B) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> Region 2 <room with the thermostat, mirror, lamp>", "C) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> room with the wardrobe, towel, pillow -> Region 2 <room with the thermostat, mirror, lamp>", "D) Region 1 <room with the desk, tray, paper> -> room with the wardrobe, towel, pillow -> room with the chest, box, sign -> Region 2 <room with the thermostat, mirror, lamp>"], "answer": "B) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> Region 2 <room with the thermostat, mirror, lamp>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the chest, box, sign> to Region 2 <room with the wardrobe, towel, pillow>?", "options": ["A) Region 1 <room with the chest, box, sign> -> room with the thermostat, mirror, lamp -> room with the desk, tray, paper -> Region 2 <room with the wardrobe, towel, pillow>", "B) Region 1 <room with the chest, box, sign> -> room with the thermostat, mirror, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "C) Region 1 <room with the chest, box, sign> -> room with the desk, tray, paper -> room with the thermostat, mirror, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "D) Region 1 <room with the chest, box, sign> -> Region 2 <room with the wardrobe, towel, pillow>"], "answer": "B) Region 1 <room with the chest, box, sign> -> room with the thermostat, mirror, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, tray, paper> to Region 2 <room with the wardrobe, towel, pillow>?", "options": ["A) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> Region 2 <room with the wardrobe, towel, pillow>", "B) Region 1 <room with the desk, tray, paper> -> room with the thermostat, mirror, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "C) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> room with the thermostat, mirror, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "D) Region 1 <room with the desk, tray, paper> -> room with the thermostat, mirror, lamp -> room with the chest, box, sign -> Region 2 <room with the wardrobe, towel, pillow>"], "answer": "C) Region 1 <room with the desk, tray, paper> -> room with the chest, box, sign -> room with the thermostat, mirror, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rail, pot, candle> to Region 2 <room with the thermostat, lamp>?", "options": ["A) Region 1 <room with the rail, pot, candle> -> room with the sink, shelf, toilet brush -> room with the chest, box, mirror -> Region 2 <room with the thermostat, lamp>", "B) Region 1 <room with the rail, pot, candle> -> room with the chest, box, mirror -> room with the sink, shelf, toilet brush -> Region 2 <room with the thermostat, lamp>", "C) Region 1 <room with the rail, pot, candle> -> room with the sink, shelf, toilet brush -> Region 2 <room with the thermostat, lamp>", "D) Region 1 <room with the rail, pot, candle> -> room with the chest, box, mirror -> Region 2 <room with the thermostat, lamp>"], "answer": "D) Region 1 <room with the rail, pot, candle> -> room with the chest, box, mirror -> Region 2 <room with the thermostat, lamp>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the chest, box, mirror> to Region 2 <room with the sink, shelf, toilet brush>?", "options": ["A) Region 1 <room with the chest, box, mirror> -> Region 2 <room with the sink, shelf, toilet brush>", "B) Region 1 <room with the chest, box, mirror> -> room with the rail, pot, candle -> Region 2 <room with the sink, shelf, toilet brush>", "C) Region 1 <room with the chest, box, mirror> -> room with the thermostat, lamp -> room with the rail, pot, candle -> Region 2 <room with the sink, shelf, toilet brush>", "D) Region 1 <room with the chest, box, mirror> -> room with the thermostat, lamp -> Region 2 <room with the sink, shelf, toilet brush>"], "answer": "D) Region 1 <room with the chest, box, mirror> -> room with the thermostat, lamp -> Region 2 <room with the sink, shelf, toilet brush>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rail, pot, candle> to Region 2 <room with the sink, shelf, toilet brush>?", "options": ["A) Region 1 <room with the rail, pot, candle> -> room with the chest, box, mirror -> room with the thermostat, lamp -> Region 2 <room with the sink, shelf, toilet brush>", "B) Region 1 <room with the rail, pot, candle> -> room with the thermostat, lamp -> room with the chest, box, mirror -> Region 2 <room with the sink, shelf, toilet brush>", "C) Region 1 <room with the rail, pot, candle> -> room with the chest, box, mirror -> Region 2 <room with the sink, shelf, toilet brush>", "D) Region 1 <room with the rail, pot, candle> -> Region 2 <room with the sink, shelf, toilet brush>"], "answer": "A) Region 1 <room with the rail, pot, candle> -> room with the chest, box, mirror -> room with the thermostat, lamp -> Region 2 <room with the sink, shelf, toilet brush>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, rail, curtain> to Region 2 <room with the thermostat, lamp>?", "options": ["A) Region 1 <room with the bowl, rail, curtain> -> room with the mirror, shelf, toilet brush -> Region 2 <room with the thermostat, lamp>", "B) Region 1 <room with the bowl, rail, curtain> -> room with the mirror, shelf, toilet brush -> room with the chest, dustbin, lamp -> Region 2 <room with the thermostat, lamp>", "C) Region 1 <room with the bowl, rail, curtain> -> room with the chest, dustbin, lamp -> Region 2 <room with the thermostat, lamp>", "D) Region 1 <room with the bowl, rail, curtain> -> Region 2 <room with the thermostat, lamp>"], "answer": "C) Region 1 <room with the bowl, rail, curtain> -> room with the chest, dustbin, lamp -> Region 2 <room with the thermostat, lamp>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the chest, dustbin, lamp> to Region 2 <room with the mirror, shelf, toilet brush>?", "options": ["A) Region 1 <room with the chest, dustbin, lamp> -> room with the bowl, rail, curtain -> Region 2 <room with the mirror, shelf, toilet brush>", "B) Region 1 <room with the chest, dustbin, lamp> -> room with the thermostat, lamp -> Region 2 <room with the mirror, shelf, toilet brush>", "C) Region 1 <room with the chest, dustbin, lamp> -> room with the thermostat, lamp -> room with the bowl, rail, curtain -> Region 2 <room with the mirror, shelf, toilet brush>", "D) Region 1 <room with the chest, dustbin, lamp> -> room with the bowl, rail, curtain -> room with the thermostat, lamp -> Region 2 <room with the mirror, shelf, toilet brush>"], "answer": "B) Region 1 <room with the chest, dustbin, lamp> -> room with the thermostat, lamp -> Region 2 <room with the mirror, shelf, toilet brush>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, rail, curtain> to Region 2 <room with the mirror, shelf, toilet brush>?", "options": ["A) Region 1 <room with the bowl, rail, curtain> -> room with the chest, dustbin, lamp -> room with the thermostat, lamp -> Region 2 <room with the mirror, shelf, toilet brush>", "B) Region 1 <room with the bowl, rail, curtain> -> room with the thermostat, lamp -> room with the chest, dustbin, lamp -> Region 2 <room with the mirror, shelf, toilet brush>", "C) Region 1 <room with the bowl, rail, curtain> -> Region 2 <room with the mirror, shelf, toilet brush>", "D) Region 1 <room with the bowl, rail, curtain> -> room with the thermostat, lamp -> Region 2 <room with the mirror, shelf, toilet brush>"], "answer": "A) Region 1 <room with the bowl, rail, curtain> -> room with the chest, dustbin, lamp -> room with the thermostat, lamp -> Region 2 <room with the mirror, shelf, toilet brush>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rail, pot, candle> to Region 2 <room with the thermostat, lamp>?", "options": ["A) Region 1 <room with the rail, pot, candle> -> room with the chest, sign, mirror -> room with the wardrobe, towel, pillow -> Region 2 <room with the thermostat, lamp>", "B) Region 1 <room with the rail, pot, candle> -> room with the chest, sign, mirror -> Region 2 <room with the thermostat, lamp>", "C) Region 1 <room with the rail, pot, candle> -> room with the wardrobe, towel, pillow -> room with the chest, sign, mirror -> Region 2 <room with the thermostat, lamp>", "D) Region 1 <room with the rail, pot, candle> -> Region 2 <room with the thermostat, lamp>"], "answer": "B) Region 1 <room with the rail, pot, candle> -> room with the chest, sign, mirror -> Region 2 <room with the thermostat, lamp>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the chest, sign, mirror> to Region 2 <room with the wardrobe, towel, pillow>?", "options": ["A) Region 1 <room with the chest, sign, mirror> -> room with the thermostat, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "B) Region 1 <room with the chest, sign, mirror> -> Region 2 <room with the wardrobe, towel, pillow>", "C) Region 1 <room with the chest, sign, mirror> -> room with the rail, pot, candle -> Region 2 <room with the wardrobe, towel, pillow>", "D) Region 1 <room with the chest, sign, mirror> -> room with the thermostat, lamp -> room with the rail, pot, candle -> Region 2 <room with the wardrobe, towel, pillow>"], "answer": "A) Region 1 <room with the chest, sign, mirror> -> room with the thermostat, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rail, pot, candle> to Region 2 <room with the wardrobe, towel, pillow>?", "options": ["A) Region 1 <room with the rail, pot, candle> -> Region 2 <room with the wardrobe, towel, pillow>", "B) Region 1 <room with the rail, pot, candle> -> room with the chest, sign, mirror -> room with the thermostat, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "C) Region 1 <room with the rail, pot, candle> -> room with the thermostat, lamp -> room with the chest, sign, mirror -> Region 2 <room with the wardrobe, towel, pillow>", "D) Region 1 <room with the rail, pot, candle> -> room with the chest, sign, mirror -> Region 2 <room with the wardrobe, towel, pillow>"], "answer": "B) Region 1 <room with the rail, pot, candle> -> room with the chest, sign, mirror -> room with the thermostat, lamp -> Region 2 <room with the wardrobe, towel, pillow>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rail, curtain, pot> to Region 2 <room with the desk, tray, paper>?", "options": ["A) Region 1 <room with the rail, curtain, pot> -> Region 2 <room with the desk, tray, paper>", "B) None", "C) Region 1 <room with the rail, curtain, pot> -> room with the chest, box, sign -> Region 2 <room with the desk, tray, paper>", "D) None"], "answer": "C) Region 1 <room with the rail, curtain, pot> -> room with the chest, box, sign -> Region 2 <room with the desk, tray, paper>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rail, curtain, pot> to Region 2 <room with the mirror, sink, shelf>?", "options": ["A) Region 1 <room with the rail, curtain, pot> -> room with the thermostat, lamp -> Region 2 <room with the mirror, sink, shelf>", "B) None", "C) Region 1 <room with the rail, curtain, pot> -> room with the chest, box, sign -> room with the thermostat, lamp -> Region 2 <room with the mirror, sink, shelf>", "D) None"], "answer": "C) Region 1 <room with the rail, curtain, pot> -> room with the chest, box, sign -> room with the thermostat, lamp -> Region 2 <room with the mirror, sink, shelf>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rail, pot, candle> to Region 2 <room with the thermostat, lamp>?", "options": ["A) Region 1 <room with the rail, pot, candle> -> Region 2 <room with the thermostat, lamp>", "B) None", "C) Region 1 <room with the rail, pot, candle> -> room with the chest, box, sign -> Region 2 <room with the thermostat, lamp>", "D) None"], "answer": "C) Region 1 <room with the rail, pot, candle> -> room with the chest, box, sign -> Region 2 <room with the thermostat, lamp>", "videos": ["dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/a8BtkwhxdRV/route9/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, bathroom shelf, decoration> to Region 2 <room with the handbag, coat hanger, hat>?", "options": ["A) Region 1 <room with the toilet, bathroom shelf, decoration> -> room with the carpet, plant, mirror -> room with the end table, bed -> Region 2 <room with the handbag, coat hanger, hat>", "B) Region 1 <room with the toilet, bathroom shelf, decoration> -> room with the end table, bed -> room with the carpet, plant, mirror -> Region 2 <room with the handbag, coat hanger, hat>", "C) Region 1 <room with the toilet, bathroom shelf, decoration> -> room with the end table, bed -> Region 2 <room with the handbag, coat hanger, hat>", "D) Region 1 <room with the toilet, bathroom shelf, decoration> -> room with the carpet, plant, mirror -> Region 2 <room with the handbag, coat hanger, hat>"], "answer": "D) Region 1 <room with the toilet, bathroom shelf, decoration> -> room with the carpet, plant, mirror -> Region 2 <room with the handbag, coat hanger, hat>", "videos": ["dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, plant, mirror> to Region 2 <room with the carpet, plant, mirror>?", "options": ["A) Region 1 <room with the carpet, plant, mirror> -> room with the handbag, coat hanger, hat -> room with the toilet, bathroom shelf, decoration -> Region 2 <room with the carpet, plant, mirror>", "B) Region 1 <room with the carpet, plant, mirror> -> Region 2 <room with the carpet, plant, mirror>", "C) Region 1 <room with the carpet, plant, mirror> -> room with the toilet, bathroom shelf, decoration -> room with the handbag, coat hanger, hat -> Region 2 <room with the carpet, plant, mirror>", "D) Region 1 <room with the carpet, plant, mirror> -> room with the handbag, coat hanger, hat -> Region 2 <room with the carpet, plant, mirror>"], "answer": "D) Region 1 <room with the carpet, plant, mirror> -> room with the handbag, coat hanger, hat -> Region 2 <room with the carpet, plant, mirror>", "videos": ["dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, bathroom shelf, decoration> to Region 2 <room with the carpet, plant, mirror>?", "options": ["A) Region 1 <room with the toilet, bathroom shelf, decoration> -> room with the handbag, coat hanger, hat -> room with the carpet, plant, mirror -> Region 2 <room with the carpet, plant, mirror>", "B) Region 1 <room with the toilet, bathroom shelf, decoration> -> room with the handbag, coat hanger, hat -> Region 2 <room with the carpet, plant, mirror>", "C) Region 1 <room with the toilet, bathroom shelf, decoration> -> Region 2 <room with the carpet, plant, mirror>", "D) Region 1 <room with the toilet, bathroom shelf, decoration> -> room with the carpet, plant, mirror -> room with the handbag, coat hanger, hat -> Region 2 <room with the carpet, plant, mirror>"], "answer": "D) Region 1 <room with the toilet, bathroom shelf, decoration> -> room with the carpet, plant, mirror -> room with the handbag, coat hanger, hat -> Region 2 <room with the carpet, plant, mirror>", "videos": ["dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/bxsVRursffK/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bedside table, sheet, carpet> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the bedside table, sheet, carpet> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the bedside table, sheet, carpet> -> room with the fire alarm, bed, picture -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the bedside table, sheet, carpet> -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the bedside table, sheet, carpet> -> room with the candle, fur carpet, ottoman -> room with the fire alarm, bed, picture -> Region 2 <room with the banister, stairs>"], "answer": "A) Region 1 <room with the bedside table, sheet, carpet> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the fire alarm, bed, picture>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the fire alarm, bed, picture>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the bedside table, sheet, carpet -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> room with the bedside table, sheet, carpet -> Region 2 <room with the fire alarm, bed, picture>"], "answer": "A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bedside table, sheet, carpet> to Region 2 <room with the fire alarm, bed, picture>?", "options": ["A) Region 1 <room with the bedside table, sheet, carpet> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fire alarm, bed, picture>", "B) Region 1 <room with the bedside table, sheet, carpet> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "C) Region 1 <room with the bedside table, sheet, carpet> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "D) Region 1 <room with the bedside table, sheet, carpet> -> room with the banister, stairs -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fire alarm, bed, picture>"], "answer": "B) Region 1 <room with the bedside table, sheet, carpet> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, shower bar, basket> to Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>?", "options": ["A) Region 1 <room with the desk, shower bar, basket> -> room with the rack, umbrella, side table -> room with the banister, stairs -> room with the candle, fur carpet, ottoman -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "B) Region 1 <room with the desk, shower bar, basket> -> room with the rack, umbrella, side table -> room with the candle, fur carpet, ottoman -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "C) Region 1 <room with the desk, shower bar, basket> -> room with the rack, umbrella, side table -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "D) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>"], "answer": "D) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the rack, umbrella, side table>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the desk, shower bar, basket -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the rack, umbrella, side table>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the rack, umbrella, side table>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the desk, shower bar, basket -> Region 2 <room with the rack, umbrella, side table>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the desk, shower bar, basket -> Region 2 <room with the rack, umbrella, side table>"], "answer": "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the rack, umbrella, side table>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, shower bar, basket> to Region 2 <room with the rack, umbrella, side table>?", "options": ["A) Region 1 <room with the desk, shower bar, basket> -> room with the banister, stairs -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the candle, fur carpet, ottoman -> Region 2 <room with the rack, umbrella, side table>", "B) Region 1 <room with the desk, shower bar, basket> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the rack, umbrella, side table>", "C) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the rack, umbrella, side table>", "D) Region 1 <room with the desk, shower bar, basket> -> room with the banister, stairs -> Region 2 <room with the rack, umbrella, side table>"], "answer": "C) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the rack, umbrella, side table>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the rack, mat, umbrella>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the rack, mat, umbrella>", "B) Region 1 <room with the banister, stairs> -> room with the bed, mirror -> Region 2 <room with the rack, mat, umbrella>", "C) Region 1 <room with the banister, stairs> -> room with the bed, mirror -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the rack, mat, umbrella>", "D) Region 1 <room with the banister, stairs> -> Region 2 <room with the rack, mat, umbrella>"], "answer": "A) Region 1 <room with the banister, stairs> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the rack, mat, umbrella>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, lighter, kitchen sink cabinet> to Region 2 <room with the bowl, lighter, kitchen sink cabinet>?", "options": ["A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "B) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the rack, mat, umbrella -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "C) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs -> room with the rack, mat, umbrella -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the rack, mat, umbrella -> room with the banister, stairs -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>"], "answer": "B) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the rack, mat, umbrella -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the bowl, lighter, kitchen sink cabinet>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the bowl, lighter, kitchen sink cabinet -> room with the rack, mat, umbrella -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "B) Region 1 <room with the banister, stairs> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "C) Region 1 <room with the banister, stairs> -> room with the rack, mat, umbrella -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "D) Region 1 <room with the banister, stairs> -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>"], "answer": "A) Region 1 <room with the banister, stairs> -> room with the bowl, lighter, kitchen sink cabinet -> room with the rack, mat, umbrella -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the lounger, wood, sofa>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the wash cabinet, toilet -> Region 2 <room with the lounger, wood, sofa>", "B) Region 1 <room with the banister, stairs> -> room with the wash cabinet, toilet -> Region 2 <room with the lounger, wood, sofa>", "C) Region 1 <room with the banister, stairs> -> room with the wash cabinet, toilet -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the lounger, wood, sofa>", "D) Region 1 <room with the banister, stairs> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the lounger, wood, sofa>"], "answer": "D) Region 1 <room with the banister, stairs> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the lounger, wood, sofa>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> to Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>?", "options": ["A) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the lounger, wood, sofa -> room with the banister, stairs -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "B) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "C) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "D) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>"], "answer": "C) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the lounger, wood, sofa -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "B) Region 1 <room with the banister, stairs> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "C) Region 1 <room with the banister, stairs> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "D) Region 1 <room with the banister, stairs> -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>"], "answer": "C) Region 1 <room with the banister, stairs> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, kitchen sink cabinet, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route11/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, carpet> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the rack, umbrella, carpet> -> room with the basket, soap, cosmetics -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> room with the basket, soap, cosmetics -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the rack, umbrella, carpet> -> room with the basket, soap, cosmetics -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs>"], "answer": "A) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, lighter, kitchen sink cabinet> to Region 2 <room with the basket, soap, cosmetics>?", "options": ["A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> Region 2 <room with the basket, soap, cosmetics>", "B) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the rack, umbrella, carpet -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>", "C) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the rack, umbrella, carpet -> Region 2 <room with the basket, soap, cosmetics>", "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>"], "answer": "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, carpet> to Region 2 <room with the basket, soap, cosmetics>?", "options": ["A) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>", "B) Region 1 <room with the rack, umbrella, carpet> -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the basket, soap, cosmetics>", "C) Region 1 <room with the rack, umbrella, carpet> -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>", "D) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the basket, soap, cosmetics>"], "answer": "A) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, sitting bench, rack> to Region 2 <room with the lounger, wood, sofa>?", "options": ["A) Region 1 <room with the carpet, sitting bench, rack> -> room with the toilet, shower wall -> Region 2 <room with the lounger, wood, sofa>", "B) Region 1 <room with the carpet, sitting bench, rack> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "C) Region 1 <room with the carpet, sitting bench, rack> -> Region 2 <room with the lounger, wood, sofa>", "D) Region 1 <room with the carpet, sitting bench, rack> -> room with the toilet, shower wall -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>"], "answer": "B) Region 1 <room with the carpet, sitting bench, rack> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, lighter, kitchen sink cabinet> to Region 2 <room with the bowl, lighter, kitchen sink cabinet>?", "options": ["A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "B) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the carpet, sitting bench, rack -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "C) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the lounger, wood, sofa -> room with the carpet, sitting bench, rack -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>"], "answer": "A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the carpet, sitting bench, rack> to Region 2 <room with the bowl, lighter, kitchen sink cabinet>?", "options": ["A) Region 1 <room with the carpet, sitting bench, rack> -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "B) Region 1 <room with the carpet, sitting bench, rack> -> room with the lounger, wood, sofa -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "C) Region 1 <room with the carpet, sitting bench, rack> -> room with the bowl, lighter, kitchen sink cabinet -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "D) Region 1 <room with the carpet, sitting bench, rack> -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>"], "answer": "C) Region 1 <room with the carpet, sitting bench, rack> -> room with the bowl, lighter, kitchen sink cabinet -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route13/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, carpet> to Region 2 <room with the banister, stairs, ceiling lamp>?", "options": ["A) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs, ceiling lamp>", "B) Region 1 <room with the rack, umbrella, carpet> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs, ceiling lamp>", "C) Region 1 <room with the rack, umbrella, carpet> -> Region 2 <room with the banister, stairs, ceiling lamp>", "D) Region 1 <room with the rack, umbrella, carpet> -> room with the candle, fur carpet, ottoman -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs, ceiling lamp>"], "answer": "A) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> to Region 2 <room with the candle, fur carpet, ottoman>?", "options": ["A) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> Region 2 <room with the candle, fur carpet, ottoman>", "B) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the banister, stairs, ceiling lamp -> room with the rack, umbrella, carpet -> Region 2 <room with the candle, fur carpet, ottoman>", "C) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "D) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the rack, umbrella, carpet -> Region 2 <room with the candle, fur carpet, ottoman>"], "answer": "C) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, carpet> to Region 2 <room with the candle, fur carpet, ottoman>?", "options": ["A) Region 1 <room with the rack, umbrella, carpet> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "B) Region 1 <room with the rack, umbrella, carpet> -> room with the banister, stairs, ceiling lamp -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the candle, fur carpet, ottoman>", "C) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the candle, fur carpet, ottoman>", "D) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>"], "answer": "D) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, tv> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the rack, umbrella, tv> -> room with the fire alarm, bedside table, carpet -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the rack, umbrella, tv> -> room with the bowl, lighter, kitchen sink cabinet -> room with the fire alarm, bedside table, carpet -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the rack, umbrella, tv> -> room with the fire alarm, bedside table, carpet -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the rack, umbrella, tv> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs>"], "answer": "D) Region 1 <room with the rack, umbrella, tv> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, lighter, kitchen sink cabinet> to Region 2 <room with the fire alarm, bedside table, carpet>?", "options": ["A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bedside table, carpet>", "B) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> Region 2 <room with the fire alarm, bedside table, carpet>", "C) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the rack, umbrella, tv -> room with the banister, stairs -> Region 2 <room with the fire alarm, bedside table, carpet>", "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs -> room with the rack, umbrella, tv -> Region 2 <room with the fire alarm, bedside table, carpet>"], "answer": "A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bedside table, carpet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, tv> to Region 2 <room with the fire alarm, bedside table, carpet>?", "options": ["A) Region 1 <room with the rack, umbrella, tv> -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the fire alarm, bedside table, carpet>", "B) Region 1 <room with the rack, umbrella, tv> -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs -> Region 2 <room with the fire alarm, bedside table, carpet>", "C) Region 1 <room with the rack, umbrella, tv> -> Region 2 <room with the fire alarm, bedside table, carpet>", "D) Region 1 <room with the rack, umbrella, tv> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the fire alarm, bedside table, carpet>"], "answer": "B) Region 1 <room with the rack, umbrella, tv> -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs -> Region 2 <room with the fire alarm, bedside table, carpet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route15/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, carpet> to Region 2 <room with the slippers, device, fireplace>?", "options": ["A) Region 1 <room with the rack, umbrella, carpet> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the slippers, device, fireplace>", "B) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the slippers, device, fireplace>", "C) Region 1 <room with the rack, umbrella, carpet> -> room with the candle, fur carpet, ottoman -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the slippers, device, fireplace>", "D) Region 1 <room with the rack, umbrella, carpet> -> Region 2 <room with the slippers, device, fireplace>"], "answer": "B) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the slippers, device, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route16/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, lighter, kitchen sink cabinet> to Region 2 <room with the candle, fur carpet, ottoman>?", "options": ["A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the rack, umbrella, carpet -> Region 2 <room with the candle, fur carpet, ottoman>", "B) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the rack, umbrella, carpet -> room with the slippers, device, fireplace -> Region 2 <room with the candle, fur carpet, ottoman>", "C) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> Region 2 <room with the candle, fur carpet, ottoman>", "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the slippers, device, fireplace -> Region 2 <room with the candle, fur carpet, ottoman>"], "answer": "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the slippers, device, fireplace -> Region 2 <room with the candle, fur carpet, ottoman>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route16/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, carpet> to Region 2 <room with the candle, fur carpet, ottoman>?", "options": ["A) Region 1 <room with the rack, umbrella, carpet> -> room with the slippers, device, fireplace -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the candle, fur carpet, ottoman>", "B) Region 1 <room with the rack, umbrella, carpet> -> Region 2 <room with the candle, fur carpet, ottoman>", "C) Region 1 <room with the rack, umbrella, carpet> -> room with the slippers, device, fireplace -> Region 2 <room with the candle, fur carpet, ottoman>", "D) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> room with the slippers, device, fireplace -> Region 2 <room with the candle, fur carpet, ottoman>"], "answer": "D) Region 1 <room with the rack, umbrella, carpet> -> room with the bowl, lighter, kitchen sink cabinet -> room with the slippers, device, fireplace -> Region 2 <room with the candle, fur carpet, ottoman>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route16/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, carpet> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the rack, umbrella, carpet> -> room with the faucet, toilet, toilet paper -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the rack, umbrella, carpet> -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> room with the faucet, toilet, toilet paper -> Region 2 <room with the banister, stairs>"], "answer": "C) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> to Region 2 <room with the faucet, toilet, toilet paper>?", "options": ["A) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> room with the rack, umbrella, carpet -> Region 2 <room with the faucet, toilet, toilet paper>", "B) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, toilet paper>", "C) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> Region 2 <room with the faucet, toilet, toilet paper>", "D) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the rack, umbrella, carpet -> Region 2 <room with the faucet, toilet, toilet paper>"], "answer": "B) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, toilet paper>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, carpet> to Region 2 <room with the faucet, toilet, toilet paper>?", "options": ["A) Region 1 <room with the rack, umbrella, carpet> -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, toilet paper>", "B) Region 1 <room with the rack, umbrella, carpet> -> room with the banister, stairs -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the faucet, toilet, toilet paper>", "C) Region 1 <room with the rack, umbrella, carpet> -> Region 2 <room with the faucet, toilet, toilet paper>", "D) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, toilet paper>"], "answer": "D) Region 1 <room with the rack, umbrella, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, toilet paper>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route17/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, fireplace shelf, umbrella> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the rack, fireplace shelf, umbrella> -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the rack, fireplace shelf, umbrella> -> room with the bed, decoration, door knob -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the rack, fireplace shelf, umbrella> -> room with the bowl, lighter, kitchen sink cabinet -> room with the bed, decoration, door knob -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the rack, fireplace shelf, umbrella> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs>"], "answer": "D) Region 1 <room with the rack, fireplace shelf, umbrella> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route18/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, lighter, kitchen sink cabinet> to Region 2 <room with the bed, decoration, door knob>?", "options": ["A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs -> Region 2 <room with the bed, decoration, door knob>", "B) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs -> room with the rack, fireplace shelf, umbrella -> Region 2 <room with the bed, decoration, door knob>", "C) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> Region 2 <room with the bed, decoration, door knob>", "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the rack, fireplace shelf, umbrella -> room with the banister, stairs -> Region 2 <room with the bed, decoration, door knob>"], "answer": "A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs -> Region 2 <room with the bed, decoration, door knob>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route18/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, fireplace shelf, umbrella> to Region 2 <room with the bed, decoration, door knob>?", "options": ["A) Region 1 <room with the rack, fireplace shelf, umbrella> -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs -> Region 2 <room with the bed, decoration, door knob>", "B) Region 1 <room with the rack, fireplace shelf, umbrella> -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the bed, decoration, door knob>", "C) Region 1 <room with the rack, fireplace shelf, umbrella> -> room with the banister, stairs -> Region 2 <room with the bed, decoration, door knob>", "D) Region 1 <room with the rack, fireplace shelf, umbrella> -> Region 2 <room with the bed, decoration, door knob>"], "answer": "A) Region 1 <room with the rack, fireplace shelf, umbrella> -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs -> Region 2 <room with the bed, decoration, door knob>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route18/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route18/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, tv> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the rack, umbrella, tv> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the rack, umbrella, tv> -> room with the bedside table, bed -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the rack, umbrella, tv> -> room with the lighter, kitchen sink cabinet, coffee machine -> room with the bedside table, bed -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the rack, umbrella, tv> -> Region 2 <room with the banister, stairs>"], "answer": "A) Region 1 <room with the rack, umbrella, tv> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> to Region 2 <room with the bedside table, bed>?", "options": ["A) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> Region 2 <room with the bedside table, bed>", "B) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> Region 2 <room with the bedside table, bed>", "C) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the rack, umbrella, tv -> Region 2 <room with the bedside table, bed>", "D) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> room with the rack, umbrella, tv -> Region 2 <room with the bedside table, bed>"], "answer": "B) Region 1 <room with the lighter, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> Region 2 <room with the bedside table, bed>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rack, umbrella, tv> to Region 2 <room with the bedside table, bed>?", "options": ["A) Region 1 <room with the rack, umbrella, tv> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the bedside table, bed>", "B) Region 1 <room with the rack, umbrella, tv> -> room with the banister, stairs -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the bedside table, bed>", "C) Region 1 <room with the rack, umbrella, tv> -> room with the lighter, kitchen sink cabinet, coffee machine -> room with the banister, stairs -> Region 2 <room with the bedside table, bed>", "D) Region 1 <room with the rack, umbrella, tv> -> room with the banister, stairs -> Region 2 <room with the bedside table, bed>"], "answer": "C) Region 1 <room with the rack, umbrella, tv> -> room with the lighter, kitchen sink cabinet, coffee machine -> room with the banister, stairs -> Region 2 <room with the bedside table, bed>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route19/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath, sheet, carpet> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the bath, sheet, carpet> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, ottoman -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the bath, sheet, carpet> -> Region 2 <room with the banister, stairs>"], "answer": "A) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the bath, sheet, carpet -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the bath, sheet, carpet -> room with the banister, stairs -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>"], "answer": "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath, sheet, carpet> to Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>?", "options": ["A) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "B) Region 1 <room with the bath, sheet, carpet> -> room with the banister, stairs -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "C) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "D) Region 1 <room with the bath, sheet, carpet> -> room with the banister, stairs -> room with the candle, fur carpet, ottoman -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>"], "answer": "C) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, note> to Region 2 <room with the toilet, basket, soap>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the fridge, mat, slippers -> room with the banister, stairs -> Region 2 <room with the toilet, basket, soap>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> Region 2 <room with the toilet, basket, soap>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the fridge, mat, slippers -> Region 2 <room with the toilet, basket, soap>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> Region 2 <room with the toilet, basket, soap>"], "answer": "D) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> Region 2 <room with the toilet, basket, soap>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the toilet, basket, soap -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the banister, stairs> -> room with the toilet, basket, soap -> room with the kitchen sink cabinet, kitchen island, note -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the banister, stairs> -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the banister, stairs> -> room with the kitchen sink cabinet, kitchen island, note -> Region 2 <room with the banister, stairs>"], "answer": "A) Region 1 <room with the banister, stairs> -> room with the toilet, basket, soap -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, note> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> room with the toilet, basket, soap -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the toilet, basket, soap -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> Region 2 <room with the banister, stairs>"], "answer": "A) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> room with the toilet, basket, soap -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route20/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> to Region 2 <room with the candle, fur carpet, ottoman>?", "options": ["A) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> room with the banister, stairs, ceiling lamp -> room with the fridge, slippers, music player -> Region 2 <room with the candle, fur carpet, ottoman>", "B) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> room with the fridge, slippers, music player -> Region 2 <room with the candle, fur carpet, ottoman>", "C) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> room with the fridge, slippers, music player -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "D) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>"], "answer": "D) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs, ceiling lamp> to Region 2 <room with the fridge, slippers, music player>?", "options": ["A) Region 1 <room with the banister, stairs, ceiling lamp> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fridge, slippers, music player>", "B) Region 1 <room with the banister, stairs, ceiling lamp> -> room with the lighter, kitchen sink cabinet, kitchen island -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fridge, slippers, music player>", "C) Region 1 <room with the banister, stairs, ceiling lamp> -> room with the lighter, kitchen sink cabinet, kitchen island -> Region 2 <room with the fridge, slippers, music player>", "D) Region 1 <room with the banister, stairs, ceiling lamp> -> Region 2 <room with the fridge, slippers, music player>"], "answer": "A) Region 1 <room with the banister, stairs, ceiling lamp> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fridge, slippers, music player>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> to Region 2 <room with the fridge, slippers, music player>?", "options": ["A) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> room with the banister, stairs, ceiling lamp -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fridge, slippers, music player>", "B) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the fridge, slippers, music player>", "C) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fridge, slippers, music player>", "D) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> Region 2 <room with the fridge, slippers, music player>"], "answer": "A) Region 1 <room with the lighter, kitchen sink cabinet, kitchen island> -> room with the banister, stairs, ceiling lamp -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fridge, slippers, music player>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> to Region 2 <room with the fire alarm, bed, picture>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> Region 2 <room with the fire alarm, bed, picture>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> room with the banister, stairs -> room with the wardrobe, hanger, chest -> Region 2 <room with the fire alarm, bed, picture>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> room with the wardrobe, hanger, chest -> Region 2 <room with the fire alarm, bed, picture>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>"], "answer": "D) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the wardrobe, hanger, chest>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the kitchen sink cabinet, kitchen island, microwave -> Region 2 <room with the wardrobe, hanger, chest>", "B) Region 1 <room with the banister, stairs> -> room with the fire alarm, bed, picture -> Region 2 <room with the wardrobe, hanger, chest>", "C) Region 1 <room with the banister, stairs> -> room with the kitchen sink cabinet, kitchen island, microwave -> room with the fire alarm, bed, picture -> Region 2 <room with the wardrobe, hanger, chest>", "D) Region 1 <room with the banister, stairs> -> room with the fire alarm, bed, picture -> room with the kitchen sink cabinet, kitchen island, microwave -> Region 2 <room with the wardrobe, hanger, chest>"], "answer": "B) Region 1 <room with the banister, stairs> -> room with the fire alarm, bed, picture -> Region 2 <room with the wardrobe, hanger, chest>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> to Region 2 <room with the wardrobe, hanger, chest>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> Region 2 <room with the wardrobe, hanger, chest>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> room with the fire alarm, bed, picture -> room with the banister, stairs -> Region 2 <room with the wardrobe, hanger, chest>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> room with the banister, stairs -> room with the fire alarm, bed, picture -> Region 2 <room with the wardrobe, hanger, chest>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> room with the fire alarm, bed, picture -> Region 2 <room with the wardrobe, hanger, chest>"], "answer": "C) Region 1 <room with the kitchen sink cabinet, kitchen island, microwave> -> room with the banister, stairs -> room with the fire alarm, bed, picture -> Region 2 <room with the wardrobe, hanger, chest>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, glass> to Region 2 <room with the faucet, toilet, toilet brush>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, toilet brush>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the bedside table, bed, fire detector -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, toilet brush>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> room with the bedside table, bed, fire detector -> Region 2 <room with the faucet, toilet, toilet brush>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the bedside table, bed, fire detector -> Region 2 <room with the faucet, toilet, toilet brush>"], "answer": "A) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, toilet brush>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the bedside table, bed, fire detector>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the faucet, toilet, toilet brush -> Region 2 <room with the bedside table, bed, fire detector>", "B) Region 1 <room with the banister, stairs> -> Region 2 <room with the bedside table, bed, fire detector>", "C) Region 1 <room with the banister, stairs> -> room with the kitchen sink cabinet, kitchen island, glass -> room with the faucet, toilet, toilet brush -> Region 2 <room with the bedside table, bed, fire detector>", "D) Region 1 <room with the banister, stairs> -> room with the kitchen sink cabinet, kitchen island, glass -> Region 2 <room with the bedside table, bed, fire detector>"], "answer": "A) Region 1 <room with the banister, stairs> -> room with the faucet, toilet, toilet brush -> Region 2 <room with the bedside table, bed, fire detector>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, glass> to Region 2 <room with the bedside table, bed, fire detector>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the faucet, toilet, toilet brush -> room with the banister, stairs -> Region 2 <room with the bedside table, bed, fire detector>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> Region 2 <room with the bedside table, bed, fire detector>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> Region 2 <room with the bedside table, bed, fire detector>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> room with the faucet, toilet, toilet brush -> Region 2 <room with the bedside table, bed, fire detector>"], "answer": "D) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> room with the faucet, toilet, toilet brush -> Region 2 <room with the bedside table, bed, fire detector>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route23/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, note> to Region 2 <room with the wardrobe, door knob>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> Region 2 <room with the wardrobe, door knob>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the fire alarm, bell, bedside table -> room with the banister, stairs -> Region 2 <room with the wardrobe, door knob>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> room with the fire alarm, bell, bedside table -> Region 2 <room with the wardrobe, door knob>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> Region 2 <room with the wardrobe, door knob>"], "answer": "D) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> Region 2 <room with the wardrobe, door knob>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the fire alarm, bell, bedside table>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the kitchen sink cabinet, kitchen island, note -> Region 2 <room with the fire alarm, bell, bedside table>", "B) Region 1 <room with the banister, stairs> -> room with the wardrobe, door knob -> room with the kitchen sink cabinet, kitchen island, note -> Region 2 <room with the fire alarm, bell, bedside table>", "C) Region 1 <room with the banister, stairs> -> room with the kitchen sink cabinet, kitchen island, note -> room with the wardrobe, door knob -> Region 2 <room with the fire alarm, bell, bedside table>", "D) Region 1 <room with the banister, stairs> -> room with the wardrobe, door knob -> Region 2 <room with the fire alarm, bell, bedside table>"], "answer": "D) Region 1 <room with the banister, stairs> -> room with the wardrobe, door knob -> Region 2 <room with the fire alarm, bell, bedside table>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, note> to Region 2 <room with the fire alarm, bell, bedside table>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bell, bedside table>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> room with the wardrobe, door knob -> Region 2 <room with the fire alarm, bell, bedside table>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the wardrobe, door knob -> room with the banister, stairs -> Region 2 <room with the fire alarm, bell, bedside table>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the wardrobe, door knob -> Region 2 <room with the fire alarm, bell, bedside table>"], "answer": "B) Region 1 <room with the kitchen sink cabinet, kitchen island, note> -> room with the banister, stairs -> room with the wardrobe, door knob -> Region 2 <room with the fire alarm, bell, bedside table>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, glass> to Region 2 <room with the bedside table, bed, decoration>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> Region 2 <room with the bedside table, bed, decoration>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the wall hanger, faucet, toilet -> room with the banister, stairs -> Region 2 <room with the bedside table, bed, decoration>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> room with the wall hanger, faucet, toilet -> Region 2 <room with the bedside table, bed, decoration>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> Region 2 <room with the bedside table, bed, decoration>"], "answer": "D) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> Region 2 <room with the bedside table, bed, decoration>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the wall hanger, faucet, toilet>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the bedside table, bed, decoration -> room with the kitchen sink cabinet, kitchen island, glass -> Region 2 <room with the wall hanger, faucet, toilet>", "B) Region 1 <room with the banister, stairs> -> room with the kitchen sink cabinet, kitchen island, glass -> room with the bedside table, bed, decoration -> Region 2 <room with the wall hanger, faucet, toilet>", "C) Region 1 <room with the banister, stairs> -> Region 2 <room with the wall hanger, faucet, toilet>", "D) Region 1 <room with the banister, stairs> -> room with the bedside table, bed, decoration -> Region 2 <room with the wall hanger, faucet, toilet>"], "answer": "D) Region 1 <room with the banister, stairs> -> room with the bedside table, bed, decoration -> Region 2 <room with the wall hanger, faucet, toilet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen sink cabinet, kitchen island, glass> to Region 2 <room with the wall hanger, faucet, toilet>?", "options": ["A) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the bedside table, bed, decoration -> Region 2 <room with the wall hanger, faucet, toilet>", "B) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> room with the bedside table, bed, decoration -> Region 2 <room with the wall hanger, faucet, toilet>", "C) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> Region 2 <room with the wall hanger, faucet, toilet>", "D) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> Region 2 <room with the wall hanger, faucet, toilet>"], "answer": "B) Region 1 <room with the kitchen sink cabinet, kitchen island, glass> -> room with the banister, stairs -> room with the bedside table, bed, decoration -> Region 2 <room with the wall hanger, faucet, toilet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route25/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route25/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the washbasin, shower shelf, toilet> to Region 2 <room with the bowl, lighter, kitchen sink cabinet>?", "options": ["A) Region 1 <room with the washbasin, shower shelf, toilet> -> room with the lounger, wood, sofa -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "B) Region 1 <room with the washbasin, shower shelf, toilet> -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "C) Region 1 <room with the washbasin, shower shelf, toilet> -> room with the lounger, wood, sofa -> room with the banister, stairs -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "D) Region 1 <room with the washbasin, shower shelf, toilet> -> room with the banister, stairs -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>"], "answer": "D) Region 1 <room with the washbasin, shower shelf, toilet> -> room with the banister, stairs -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the lounger, wood, sofa>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the washbasin, shower shelf, toilet -> Region 2 <room with the lounger, wood, sofa>", "B) Region 1 <room with the banister, stairs> -> Region 2 <room with the lounger, wood, sofa>", "C) Region 1 <room with the banister, stairs> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "D) Region 1 <room with the banister, stairs> -> room with the bowl, lighter, kitchen sink cabinet -> room with the washbasin, shower shelf, toilet -> Region 2 <room with the lounger, wood, sofa>"], "answer": "C) Region 1 <room with the banister, stairs> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the washbasin, shower shelf, toilet> to Region 2 <room with the lounger, wood, sofa>?", "options": ["A) Region 1 <room with the washbasin, shower shelf, toilet> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "B) Region 1 <room with the washbasin, shower shelf, toilet> -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "C) Region 1 <room with the washbasin, shower shelf, toilet> -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs -> Region 2 <room with the lounger, wood, sofa>", "D) Region 1 <room with the washbasin, shower shelf, toilet> -> room with the banister, stairs -> Region 2 <room with the lounger, wood, sofa>"], "answer": "B) Region 1 <room with the washbasin, shower shelf, toilet> -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route26/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower dial, bathroom cabinet, shower shelf> to Region 2 <room with the ottoman, table, door knob>?", "options": ["A) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the desk, basket, table lamp -> room with the banister, stairs -> Region 2 <room with the ottoman, table, door knob>", "B) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> Region 2 <room with the ottoman, table, door knob>", "C) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the desk, basket, table lamp -> Region 2 <room with the ottoman, table, door knob>", "D) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> Region 2 <room with the ottoman, table, door knob>"], "answer": "B) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> Region 2 <room with the ottoman, table, door knob>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the desk, basket, table lamp>?", "options": ["A) Region 1 <room with the banister, stairs> -> Region 2 <room with the desk, basket, table lamp>", "B) Region 1 <room with the banister, stairs> -> room with the shower dial, bathroom cabinet, shower shelf -> room with the ottoman, table, door knob -> Region 2 <room with the desk, basket, table lamp>", "C) Region 1 <room with the banister, stairs> -> room with the ottoman, table, door knob -> Region 2 <room with the desk, basket, table lamp>", "D) Region 1 <room with the banister, stairs> -> room with the shower dial, bathroom cabinet, shower shelf -> Region 2 <room with the desk, basket, table lamp>"], "answer": "C) Region 1 <room with the banister, stairs> -> room with the ottoman, table, door knob -> Region 2 <room with the desk, basket, table lamp>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower dial, bathroom cabinet, shower shelf> to Region 2 <room with the desk, basket, table lamp>?", "options": ["A) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the ottoman, table, door knob -> room with the banister, stairs -> Region 2 <room with the desk, basket, table lamp>", "B) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> Region 2 <room with the desk, basket, table lamp>", "C) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> Region 2 <room with the desk, basket, table lamp>", "D) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> room with the ottoman, table, door knob -> Region 2 <room with the desk, basket, table lamp>"], "answer": "D) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> room with the ottoman, table, door knob -> Region 2 <room with the desk, basket, table lamp>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower dial, bathroom cabinet, shower shelf> to Region 2 <room with the fire alarm, bed, door knob>?", "options": ["A) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> Region 2 <room with the fire alarm, bed, door knob>", "B) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> room with the wardrobe, hanger, decoration -> Region 2 <room with the fire alarm, bed, door knob>", "C) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, door knob>", "D) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the wardrobe, hanger, decoration -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, door knob>"], "answer": "C) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, door knob>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the wardrobe, hanger, decoration>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the shower dial, bathroom cabinet, shower shelf -> Region 2 <room with the wardrobe, hanger, decoration>", "B) Region 1 <room with the banister, stairs> -> room with the fire alarm, bed, door knob -> Region 2 <room with the wardrobe, hanger, decoration>", "C) Region 1 <room with the banister, stairs> -> Region 2 <room with the wardrobe, hanger, decoration>", "D) Region 1 <room with the banister, stairs> -> room with the fire alarm, bed, door knob -> room with the shower dial, bathroom cabinet, shower shelf -> Region 2 <room with the wardrobe, hanger, decoration>"], "answer": "B) Region 1 <room with the banister, stairs> -> room with the fire alarm, bed, door knob -> Region 2 <room with the wardrobe, hanger, decoration>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower dial, bathroom cabinet, shower shelf> to Region 2 <room with the wardrobe, hanger, decoration>?", "options": ["A) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> room with the fire alarm, bed, door knob -> Region 2 <room with the wardrobe, hanger, decoration>", "B) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the fire alarm, bed, door knob -> Region 2 <room with the wardrobe, hanger, decoration>", "C) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the fire alarm, bed, door knob -> room with the banister, stairs -> Region 2 <room with the wardrobe, hanger, decoration>", "D) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> Region 2 <room with the wardrobe, hanger, decoration>"], "answer": "A) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> room with the fire alarm, bed, door knob -> Region 2 <room with the wardrobe, hanger, decoration>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route28/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower dial, bathroom cabinet, shower shelf> to Region 2 <room with the tap, ottoman, fridge>?", "options": ["A) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> Region 2 <room with the tap, ottoman, fridge>", "B) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the faucet, washbasin, toilet paper -> room with the banister, stairs -> Region 2 <room with the tap, ottoman, fridge>", "C) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the faucet, washbasin, toilet paper -> Region 2 <room with the tap, ottoman, fridge>", "D) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> Region 2 <room with the tap, ottoman, fridge>"], "answer": "D) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> Region 2 <room with the tap, ottoman, fridge>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the faucet, washbasin, toilet paper>?", "options": ["A) Region 1 <room with the banister, stairs> -> Region 2 <room with the faucet, washbasin, toilet paper>", "B) Region 1 <room with the banister, stairs> -> room with the shower dial, bathroom cabinet, shower shelf -> Region 2 <room with the faucet, washbasin, toilet paper>", "C) Region 1 <room with the banister, stairs> -> room with the tap, ottoman, fridge -> Region 2 <room with the faucet, washbasin, toilet paper>", "D) Region 1 <room with the banister, stairs> -> room with the shower dial, bathroom cabinet, shower shelf -> room with the tap, ottoman, fridge -> Region 2 <room with the faucet, washbasin, toilet paper>"], "answer": "C) Region 1 <room with the banister, stairs> -> room with the tap, ottoman, fridge -> Region 2 <room with the faucet, washbasin, toilet paper>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower dial, bathroom cabinet, shower shelf> to Region 2 <room with the faucet, washbasin, toilet paper>?", "options": ["A) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the tap, ottoman, fridge -> Region 2 <room with the faucet, washbasin, toilet paper>", "B) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> room with the tap, ottoman, fridge -> Region 2 <room with the faucet, washbasin, toilet paper>", "C) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> Region 2 <room with the faucet, washbasin, toilet paper>", "D) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> Region 2 <room with the faucet, washbasin, toilet paper>"], "answer": "B) Region 1 <room with the shower dial, bathroom cabinet, shower shelf> -> room with the banister, stairs -> room with the tap, ottoman, fridge -> Region 2 <room with the faucet, washbasin, toilet paper>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route29/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath, sheet, carpet> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the bath, sheet, carpet> -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the bath, sheet, carpet> -> room with the basket, soap, cosmetics -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, chair -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the bath, sheet, carpet> -> room with the basket, soap, cosmetics -> room with the candle, fur carpet, chair -> Region 2 <room with the banister, stairs>"], "answer": "C) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, chair -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, chair> to Region 2 <room with the basket, soap, cosmetics>?", "options": ["A) Region 1 <room with the candle, fur carpet, chair> -> Region 2 <room with the basket, soap, cosmetics>", "B) Region 1 <room with the candle, fur carpet, chair> -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>", "C) Region 1 <room with the candle, fur carpet, chair> -> room with the banister, stairs -> room with the bath, sheet, carpet -> Region 2 <room with the basket, soap, cosmetics>", "D) Region 1 <room with the candle, fur carpet, chair> -> room with the bath, sheet, carpet -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>"], "answer": "B) Region 1 <room with the candle, fur carpet, chair> -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath, sheet, carpet> to Region 2 <room with the basket, soap, cosmetics>?", "options": ["A) Region 1 <room with the bath, sheet, carpet> -> room with the banister, stairs -> room with the candle, fur carpet, chair -> Region 2 <room with the basket, soap, cosmetics>", "B) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, chair -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>", "C) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, chair -> Region 2 <room with the basket, soap, cosmetics>", "D) Region 1 <room with the bath, sheet, carpet> -> Region 2 <room with the basket, soap, cosmetics>"], "answer": "B) Region 1 <room with the bath, sheet, carpet> -> room with the candle, fur carpet, chair -> room with the banister, stairs -> Region 2 <room with the basket, soap, cosmetics>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, shower floor, shower bar> to Region 2 <room with the faucet, toilet, washbasin>?", "options": ["A) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> room with the tap, ottoman, fireplace -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, washbasin>", "B) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> Region 2 <room with the faucet, toilet, washbasin>", "C) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, washbasin>", "D) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> room with the tap, ottoman, fireplace -> Region 2 <room with the faucet, toilet, washbasin>"], "answer": "C) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, washbasin>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the tap, ottoman, fireplace>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, ottoman, fireplace>", "B) Region 1 <room with the banister, stairs> -> room with the faucet, toilet, washbasin -> room with the bathroom cabinet, shower floor, shower bar -> Region 2 <room with the tap, ottoman, fireplace>", "C) Region 1 <room with the banister, stairs> -> Region 2 <room with the tap, ottoman, fireplace>", "D) Region 1 <room with the banister, stairs> -> room with the bathroom cabinet, shower floor, shower bar -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, ottoman, fireplace>"], "answer": "A) Region 1 <room with the banister, stairs> -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, ottoman, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom cabinet, shower floor, shower bar> to Region 2 <room with the tap, ottoman, fireplace>?", "options": ["A) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> room with the banister, stairs -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, ottoman, fireplace>", "B) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> room with the faucet, toilet, washbasin -> room with the banister, stairs -> Region 2 <room with the tap, ottoman, fireplace>", "C) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, ottoman, fireplace>", "D) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> room with the banister, stairs -> Region 2 <room with the tap, ottoman, fireplace>"], "answer": "A) Region 1 <room with the bathroom cabinet, shower floor, shower bar> -> room with the banister, stairs -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, ottoman, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route30/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the banister, stairs, ceiling lamp>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs, ceiling lamp>", "B) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, lighter, kitchen sink cabinet -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs, ceiling lamp>", "C) Region 1 <room with the lounger, wood, sofa> -> Region 2 <room with the banister, stairs, ceiling lamp>", "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs, ceiling lamp>"], "answer": "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the banister, stairs, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, lighter, kitchen sink cabinet> to Region 2 <room with the candle, fur carpet, ottoman>?", "options": ["A) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the lounger, wood, sofa -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "B) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs, ceiling lamp -> room with the lounger, wood, sofa -> Region 2 <room with the candle, fur carpet, ottoman>", "C) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> Region 2 <room with the candle, fur carpet, ottoman>", "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>"], "answer": "D) Region 1 <room with the bowl, lighter, kitchen sink cabinet> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the candle, fur carpet, ottoman>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "B) Region 1 <room with the lounger, wood, sofa> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "C) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the candle, fur carpet, ottoman>", "D) Region 1 <room with the lounger, wood, sofa> -> Region 2 <room with the candle, fur carpet, ottoman>"], "answer": "A) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the candle, fur carpet, ottoman>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route33/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> room with the fire alarm, bed, picture -> room with the bowl, kitchen sink cabinet, kitchen island -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the lounger, wood, sofa> -> room with the fire alarm, bed, picture -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, kitchen island -> room with the fire alarm, bed, picture -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, kitchen island -> Region 2 <room with the banister, stairs>"], "answer": "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, kitchen island -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, kitchen sink cabinet, kitchen island> to Region 2 <room with the fire alarm, bed, picture>?", "options": ["A) Region 1 <room with the bowl, kitchen sink cabinet, kitchen island> -> room with the banister, stairs -> room with the lounger, wood, sofa -> Region 2 <room with the fire alarm, bed, picture>", "B) Region 1 <room with the bowl, kitchen sink cabinet, kitchen island> -> room with the lounger, wood, sofa -> Region 2 <room with the fire alarm, bed, picture>", "C) Region 1 <room with the bowl, kitchen sink cabinet, kitchen island> -> room with the lounger, wood, sofa -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "D) Region 1 <room with the bowl, kitchen sink cabinet, kitchen island> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>"], "answer": "D) Region 1 <room with the bowl, kitchen sink cabinet, kitchen island> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the fire alarm, bed, picture>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> room with the banister, stairs -> room with the bowl, kitchen sink cabinet, kitchen island -> Region 2 <room with the fire alarm, bed, picture>", "B) Region 1 <room with the lounger, wood, sofa> -> Region 2 <room with the fire alarm, bed, picture>", "C) Region 1 <room with the lounger, wood, sofa> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, kitchen island -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>"], "answer": "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, kitchen island -> room with the banister, stairs -> Region 2 <room with the fire alarm, bed, picture>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route34/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the slippers, remote control, device>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> Region 2 <room with the slippers, remote control, device>", "B) Region 1 <room with the lounger, wood, sofa> -> room with the candle, fur carpet, ottoman -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the slippers, remote control, device>", "C) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the candle, fur carpet, ottoman -> Region 2 <room with the slippers, remote control, device>", "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the slippers, remote control, device>"], "answer": "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the slippers, remote control, device>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> to Region 2 <room with the candle, fur carpet, ottoman>?", "options": ["A) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the lounger, wood, sofa -> room with the slippers, remote control, device -> Region 2 <room with the candle, fur carpet, ottoman>", "B) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the slippers, remote control, device -> room with the lounger, wood, sofa -> Region 2 <room with the candle, fur carpet, ottoman>", "C) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the slippers, remote control, device -> Region 2 <room with the candle, fur carpet, ottoman>", "D) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> Region 2 <room with the candle, fur carpet, ottoman>"], "answer": "C) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the slippers, remote control, device -> Region 2 <room with the candle, fur carpet, ottoman>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the candle, fur carpet, ottoman>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the candle, fur carpet, ottoman>", "B) Region 1 <room with the lounger, wood, sofa> -> room with the slippers, remote control, device -> Region 2 <room with the candle, fur carpet, ottoman>", "C) Region 1 <room with the lounger, wood, sofa> -> room with the slippers, remote control, device -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the candle, fur carpet, ottoman>", "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the slippers, remote control, device -> Region 2 <room with the candle, fur carpet, ottoman>"], "answer": "D) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the slippers, remote control, device -> Region 2 <room with the candle, fur carpet, ottoman>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route35/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the toilet, table lamp, bedside cabinet -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the lounger, wood, sofa> -> room with the toilet, table lamp, bedside cabinet -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the lounger, wood, sofa> -> room with the toilet, table lamp, bedside cabinet -> Region 2 <room with the banister, stairs>"], "answer": "B) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> to Region 2 <room with the toilet, table lamp, bedside cabinet>?", "options": ["A) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the lounger, wood, sofa -> room with the banister, stairs -> Region 2 <room with the toilet, table lamp, bedside cabinet>", "B) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> Region 2 <room with the toilet, table lamp, bedside cabinet>", "C) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> room with the lounger, wood, sofa -> Region 2 <room with the toilet, table lamp, bedside cabinet>", "D) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> Region 2 <room with the toilet, table lamp, bedside cabinet>"], "answer": "B) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> Region 2 <room with the toilet, table lamp, bedside cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the toilet, table lamp, bedside cabinet>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the toilet, table lamp, bedside cabinet>", "B) Region 1 <room with the lounger, wood, sofa> -> room with the banister, stairs -> Region 2 <room with the toilet, table lamp, bedside cabinet>", "C) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the banister, stairs -> Region 2 <room with the toilet, table lamp, bedside cabinet>", "D) Region 1 <room with the lounger, wood, sofa> -> room with the banister, stairs -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the toilet, table lamp, bedside cabinet>"], "answer": "C) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the banister, stairs -> Region 2 <room with the toilet, table lamp, bedside cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route36/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the banister, stairs>?", "options": ["A) None", "B) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the lounger, wood, sofa> -> Region 2 <room with the banister, stairs>", "D) None"], "answer": "B) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route37/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route37/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route37/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the door frame, window frame -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the lounger, wood, sofa> -> room with the door frame, window frame -> Region 2 <room with the banister, stairs>"], "answer": "C) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> to Region 2 <room with the door frame, window frame>?", "options": ["A) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the lounger, wood, sofa -> Region 2 <room with the door frame, window frame>", "B) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> room with the lounger, wood, sofa -> Region 2 <room with the door frame, window frame>", "C) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> Region 2 <room with the door frame, window frame>", "D) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the lounger, wood, sofa -> room with the banister, stairs -> Region 2 <room with the door frame, window frame>"], "answer": "C) Region 1 <room with the bowl, kitchen sink cabinet, coffee machine> -> room with the banister, stairs -> Region 2 <room with the door frame, window frame>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lounger, wood, sofa> to Region 2 <room with the door frame, window frame>?", "options": ["A) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the banister, stairs -> Region 2 <room with the door frame, window frame>", "B) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the door frame, window frame>", "C) Region 1 <room with the lounger, wood, sofa> -> room with the banister, stairs -> room with the bowl, kitchen sink cabinet, coffee machine -> Region 2 <room with the door frame, window frame>", "D) Region 1 <room with the lounger, wood, sofa> -> Region 2 <room with the door frame, window frame>"], "answer": "A) Region 1 <room with the lounger, wood, sofa> -> room with the bowl, kitchen sink cabinet, coffee machine -> room with the banister, stairs -> Region 2 <room with the door frame, window frame>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route38/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the fire alarm, bell, bedside table>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the wardrobe, floor lamp, armchair -> room with the banister, stairs -> Region 2 <room with the fire alarm, bell, bedside table>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the wardrobe, floor lamp, armchair -> Region 2 <room with the fire alarm, bell, bedside table>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bell, bedside table>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the fire alarm, bell, bedside table>"], "answer": "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the fire alarm, bell, bedside table>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the wardrobe, floor lamp, armchair>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the fire alarm, bell, bedside table -> Region 2 <room with the wardrobe, floor lamp, armchair>", "B) Region 1 <room with the banister, stairs> -> Region 2 <room with the wardrobe, floor lamp, armchair>", "C) Region 1 <room with the banister, stairs> -> room with the fire alarm, bell, bedside table -> room with the candle, fur carpet, ottoman -> Region 2 <room with the wardrobe, floor lamp, armchair>", "D) Region 1 <room with the banister, stairs> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the wardrobe, floor lamp, armchair>"], "answer": "A) Region 1 <room with the banister, stairs> -> room with the fire alarm, bell, bedside table -> Region 2 <room with the wardrobe, floor lamp, armchair>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the wardrobe, floor lamp, armchair>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the fire alarm, bell, bedside table -> Region 2 <room with the wardrobe, floor lamp, armchair>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the wardrobe, floor lamp, armchair>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the fire alarm, bell, bedside table -> room with the banister, stairs -> Region 2 <room with the wardrobe, floor lamp, armchair>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the wardrobe, floor lamp, armchair>"], "answer": "A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the fire alarm, bell, bedside table -> Region 2 <room with the wardrobe, floor lamp, armchair>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route39/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, shower bar, basket> to Region 2 <room with the bowl, lighter, kitchen sink cabinet>?", "options": ["A) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the lounger, wood, sofa -> room with the banister, stairs -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "B) Region 1 <room with the desk, shower bar, basket> -> room with the banister, stairs -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "C) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "D) Region 1 <room with the desk, shower bar, basket> -> room with the lounger, wood, sofa -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>"], "answer": "C) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the lounger, wood, sofa>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the desk, shower bar, basket -> room with the bowl, lighter, kitchen sink cabinet -> room with the banister, stairs -> Region 2 <room with the lounger, wood, sofa>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the desk, shower bar, basket -> Region 2 <room with the lounger, wood, sofa>"], "answer": "A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, shower bar, basket> to Region 2 <room with the lounger, wood, sofa>?", "options": ["A) Region 1 <room with the desk, shower bar, basket> -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "B) Region 1 <room with the desk, shower bar, basket> -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> room with the candle, fur carpet, ottoman -> Region 2 <room with the lounger, wood, sofa>", "C) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the lounger, wood, sofa>", "D) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>"], "answer": "D) Region 1 <room with the desk, shower bar, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the lounger, wood, sofa>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route4/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the faucet, toilet, washbasin>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the tap, fridge, sofa -> Region 2 <room with the faucet, toilet, washbasin>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the tap, fridge, sofa -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, washbasin>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, washbasin>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the faucet, toilet, washbasin>"], "answer": "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, washbasin>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route40/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route40/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route40/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the tap, fridge, sofa>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the tap, fridge, sofa>", "B) Region 1 <room with the banister, stairs> -> Region 2 <room with the tap, fridge, sofa>", "C) Region 1 <room with the banister, stairs> -> room with the candle, fur carpet, ottoman -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, fridge, sofa>", "D) Region 1 <room with the banister, stairs> -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, fridge, sofa>"], "answer": "D) Region 1 <room with the banister, stairs> -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, fridge, sofa>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route40/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route40/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route40/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the tap, fridge, sofa>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, fridge, sofa>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, fridge, sofa>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the faucet, toilet, washbasin -> room with the banister, stairs -> Region 2 <room with the tap, fridge, sofa>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the tap, fridge, sofa>"], "answer": "A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the faucet, toilet, washbasin -> Region 2 <room with the tap, fridge, sofa>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route40/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route40/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route40/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the door frame, window frame>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the tap, fridge, mat -> room with the banister, stairs -> Region 2 <room with the door frame, window frame>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the door frame, window frame>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the tap, fridge, mat -> Region 2 <room with the door frame, window frame>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the door frame, window frame>"], "answer": "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the door frame, window frame>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route42/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route42/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route42/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the tap, fridge, mat>?", "options": ["A) Region 1 <room with the banister, stairs> -> Region 2 <room with the tap, fridge, mat>", "B) Region 1 <room with the banister, stairs> -> room with the door frame, window frame -> Region 2 <room with the tap, fridge, mat>", "C) Region 1 <room with the banister, stairs> -> room with the candle, fur carpet, ottoman -> room with the door frame, window frame -> Region 2 <room with the tap, fridge, mat>", "D) Region 1 <room with the banister, stairs> -> room with the door frame, window frame -> room with the candle, fur carpet, ottoman -> Region 2 <room with the tap, fridge, mat>"], "answer": "B) Region 1 <room with the banister, stairs> -> room with the door frame, window frame -> Region 2 <room with the tap, fridge, mat>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route42/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route42/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route42/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the tap, fridge, mat>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the door frame, window frame -> room with the banister, stairs -> Region 2 <room with the tap, fridge, mat>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the door frame, window frame -> Region 2 <room with the tap, fridge, mat>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the tap, fridge, mat>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> room with the door frame, window frame -> Region 2 <room with the tap, fridge, mat>"], "answer": "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the door frame, window frame -> Region 2 <room with the tap, fridge, mat>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route42/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route42/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route42/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, door knob, ceiling lamp> to Region 2 <room with the fridge, slippers, music player>?", "options": ["A) Region 1 <room with the bed, door knob, ceiling lamp> -> room with the banister, stairs -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the fridge, slippers, music player>", "B) Region 1 <room with the bed, door knob, ceiling lamp> -> room with the lighter, kitchen sink cabinet, coffee machine -> Region 2 <room with the fridge, slippers, music player>", "C) Region 1 <room with the bed, door knob, ceiling lamp> -> room with the banister, stairs -> Region 2 <room with the fridge, slippers, music player>", "D) Region 1 <room with the bed, door knob, ceiling lamp> -> Region 2 <room with the fridge, slippers, music player>"], "answer": "C) Region 1 <room with the bed, door knob, ceiling lamp> -> room with the banister, stairs -> Region 2 <room with the fridge, slippers, music player>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the bed, door knob, ceiling lamp -> room with the fridge, slippers, music player -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "B) Region 1 <room with the banister, stairs> -> room with the fridge, slippers, music player -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "C) Region 1 <room with the banister, stairs> -> room with the bed, door knob, ceiling lamp -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "D) Region 1 <room with the banister, stairs> -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>"], "answer": "B) Region 1 <room with the banister, stairs> -> room with the fridge, slippers, music player -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, door knob, ceiling lamp> to Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>?", "options": ["A) Region 1 <room with the bed, door knob, ceiling lamp> -> room with the banister, stairs -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "B) Region 1 <room with the bed, door knob, ceiling lamp> -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "C) Region 1 <room with the bed, door knob, ceiling lamp> -> room with the banister, stairs -> room with the fridge, slippers, music player -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "D) Region 1 <room with the bed, door knob, ceiling lamp> -> room with the fridge, slippers, music player -> room with the banister, stairs -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>"], "answer": "C) Region 1 <room with the bed, door knob, ceiling lamp> -> room with the banister, stairs -> room with the fridge, slippers, music player -> Region 2 <room with the lighter, kitchen sink cabinet, coffee machine>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route43/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, door knob> to Region 2 <room with the cabinet, faucet, shower bar>?", "options": ["A) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> room with the bedside table, fire detector, decoration -> Region 2 <room with the cabinet, faucet, shower bar>", "B) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> Region 2 <room with the cabinet, faucet, shower bar>", "C) Region 1 <room with the bed, door knob> -> room with the bedside table, fire detector, decoration -> Region 2 <room with the cabinet, faucet, shower bar>", "D) Region 1 <room with the bed, door knob> -> Region 2 <room with the cabinet, faucet, shower bar>"], "answer": "B) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> Region 2 <room with the cabinet, faucet, shower bar>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route44/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route44/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route44/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the bedside table, fire detector, decoration>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the cabinet, faucet, shower bar -> room with the bed, door knob -> Region 2 <room with the bedside table, fire detector, decoration>", "B) Region 1 <room with the banister, stairs> -> room with the bed, door knob -> Region 2 <room with the bedside table, fire detector, decoration>", "C) Region 1 <room with the banister, stairs> -> Region 2 <room with the bedside table, fire detector, decoration>", "D) Region 1 <room with the banister, stairs> -> room with the cabinet, faucet, shower bar -> Region 2 <room with the bedside table, fire detector, decoration>"], "answer": "D) Region 1 <room with the banister, stairs> -> room with the cabinet, faucet, shower bar -> Region 2 <room with the bedside table, fire detector, decoration>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route44/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route44/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route44/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, door knob> to Region 2 <room with the bedside table, fire detector, decoration>?", "options": ["A) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> room with the cabinet, faucet, shower bar -> Region 2 <room with the bedside table, fire detector, decoration>", "B) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> Region 2 <room with the bedside table, fire detector, decoration>", "C) Region 1 <room with the bed, door knob> -> room with the cabinet, faucet, shower bar -> Region 2 <room with the bedside table, fire detector, decoration>", "D) Region 1 <room with the bed, door knob> -> room with the cabinet, faucet, shower bar -> room with the banister, stairs -> Region 2 <room with the bedside table, fire detector, decoration>"], "answer": "A) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> room with the cabinet, faucet, shower bar -> Region 2 <room with the bedside table, fire detector, decoration>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route44/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route44/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route44/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, door knob> to Region 2 <room with the bedside table, bed, decoration>?", "options": ["A) Region 1 <room with the bed, door knob> -> room with the faucet, toilet, washbasin -> room with the banister, stairs -> Region 2 <room with the bedside table, bed, decoration>", "B) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> Region 2 <room with the bedside table, bed, decoration>", "C) Region 1 <room with the bed, door knob> -> Region 2 <room with the bedside table, bed, decoration>", "D) Region 1 <room with the bed, door knob> -> room with the faucet, toilet, washbasin -> Region 2 <room with the bedside table, bed, decoration>"], "answer": "B) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> Region 2 <room with the bedside table, bed, decoration>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the banister, stairs> to Region 2 <room with the faucet, toilet, washbasin>?", "options": ["A) Region 1 <room with the banister, stairs> -> room with the bedside table, bed, decoration -> room with the bed, door knob -> Region 2 <room with the faucet, toilet, washbasin>", "B) Region 1 <room with the banister, stairs> -> room with the bed, door knob -> room with the bedside table, bed, decoration -> Region 2 <room with the faucet, toilet, washbasin>", "C) Region 1 <room with the banister, stairs> -> room with the bedside table, bed, decoration -> Region 2 <room with the faucet, toilet, washbasin>", "D) Region 1 <room with the banister, stairs> -> Region 2 <room with the faucet, toilet, washbasin>"], "answer": "C) Region 1 <room with the banister, stairs> -> room with the bedside table, bed, decoration -> Region 2 <room with the faucet, toilet, washbasin>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, door knob> to Region 2 <room with the faucet, toilet, washbasin>?", "options": ["A) Region 1 <room with the bed, door knob> -> room with the bedside table, bed, decoration -> Region 2 <room with the faucet, toilet, washbasin>", "B) Region 1 <room with the bed, door knob> -> room with the bedside table, bed, decoration -> room with the banister, stairs -> Region 2 <room with the faucet, toilet, washbasin>", "C) Region 1 <room with the bed, door knob> -> Region 2 <room with the faucet, toilet, washbasin>", "D) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> room with the bedside table, bed, decoration -> Region 2 <room with the faucet, toilet, washbasin>"], "answer": "D) Region 1 <room with the bed, door knob> -> room with the banister, stairs -> room with the bedside table, bed, decoration -> Region 2 <room with the faucet, toilet, washbasin>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route45/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, bath side table, basket> to Region 2 <room with the banister, stairs, ceiling lamp>?", "options": ["A) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> room with the fire alarm, carpet, bed -> Region 2 <room with the banister, stairs, ceiling lamp>", "B) Region 1 <room with the desk, bath side table, basket> -> room with the fire alarm, carpet, bed -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs, ceiling lamp>", "C) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs, ceiling lamp>", "D) Region 1 <room with the desk, bath side table, basket> -> room with the fire alarm, carpet, bed -> Region 2 <room with the banister, stairs, ceiling lamp>"], "answer": "C) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the fire alarm, carpet, bed>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the desk, bath side table, basket -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the fire alarm, carpet, bed>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the fire alarm, carpet, bed>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the fire alarm, carpet, bed>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> room with the desk, bath side table, basket -> Region 2 <room with the fire alarm, carpet, bed>"], "answer": "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the fire alarm, carpet, bed>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, bath side table, basket> to Region 2 <room with the fire alarm, carpet, bed>?", "options": ["A) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the fire alarm, carpet, bed>", "B) Region 1 <room with the desk, bath side table, basket> -> Region 2 <room with the fire alarm, carpet, bed>", "C) Region 1 <room with the desk, bath side table, basket> -> room with the banister, stairs, ceiling lamp -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fire alarm, carpet, bed>", "D) Region 1 <room with the desk, bath side table, basket> -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the fire alarm, carpet, bed>"], "answer": "A) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs, ceiling lamp -> Region 2 <room with the fire alarm, carpet, bed>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, bath side table, basket> to Region 2 <room with the fridge, slippers, music player>?", "options": ["A) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fridge, slippers, music player>", "B) Region 1 <room with the desk, bath side table, basket> -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the fridge, slippers, music player>", "C) Region 1 <room with the desk, bath side table, basket> -> Region 2 <room with the fridge, slippers, music player>", "D) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> room with the bowl, lighter, kitchen sink cabinet -> Region 2 <room with the fridge, slippers, music player>"], "answer": "A) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the fridge, slippers, music player>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the bowl, lighter, kitchen sink cabinet>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the desk, bath side table, basket -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the desk, bath side table, basket -> room with the fridge, slippers, music player -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> room with the fridge, slippers, music player -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>"], "answer": "D) Region 1 <room with the candle, fur carpet, ottoman> -> room with the fridge, slippers, music player -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, bath side table, basket> to Region 2 <room with the bowl, lighter, kitchen sink cabinet>?", "options": ["A) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "B) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> room with the fridge, slippers, music player -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "C) Region 1 <room with the desk, bath side table, basket> -> room with the fridge, slippers, music player -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "D) Region 1 <room with the desk, bath side table, basket> -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>"], "answer": "B) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> room with the fridge, slippers, music player -> Region 2 <room with the bowl, lighter, kitchen sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route6/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sheet, carpet, blanket> to Region 2 <room with the banister, stairs>?", "options": ["A) Region 1 <room with the sheet, carpet, blanket> -> room with the faucet, bedside cabinet, washbasin -> Region 2 <room with the banister, stairs>", "B) Region 1 <room with the sheet, carpet, blanket> -> room with the faucet, bedside cabinet, washbasin -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs>", "C) Region 1 <room with the sheet, carpet, blanket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs>", "D) Region 1 <room with the sheet, carpet, blanket> -> Region 2 <room with the banister, stairs>"], "answer": "C) Region 1 <room with the sheet, carpet, blanket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the candle, fur carpet, ottoman> to Region 2 <room with the faucet, bedside cabinet, washbasin>?", "options": ["A) Region 1 <room with the candle, fur carpet, ottoman> -> room with the sheet, carpet, blanket -> room with the banister, stairs -> Region 2 <room with the faucet, bedside cabinet, washbasin>", "B) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> room with the sheet, carpet, blanket -> Region 2 <room with the faucet, bedside cabinet, washbasin>", "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the faucet, bedside cabinet, washbasin>", "D) Region 1 <room with the candle, fur carpet, ottoman> -> Region 2 <room with the faucet, bedside cabinet, washbasin>"], "answer": "C) Region 1 <room with the candle, fur carpet, ottoman> -> room with the banister, stairs -> Region 2 <room with the faucet, bedside cabinet, washbasin>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sheet, carpet, blanket> to Region 2 <room with the faucet, bedside cabinet, washbasin>?", "options": ["A) Region 1 <room with the sheet, carpet, blanket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the faucet, bedside cabinet, washbasin>", "B) Region 1 <room with the sheet, carpet, blanket> -> Region 2 <room with the faucet, bedside cabinet, washbasin>", "C) Region 1 <room with the sheet, carpet, blanket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the faucet, bedside cabinet, washbasin>", "D) Region 1 <room with the sheet, carpet, blanket> -> room with the banister, stairs -> Region 2 <room with the faucet, bedside cabinet, washbasin>"], "answer": "C) Region 1 <room with the sheet, carpet, blanket> -> room with the candle, fur carpet, ottoman -> room with the banister, stairs -> Region 2 <room with the faucet, bedside cabinet, washbasin>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, bath side table, basket> to Region 2 <room with the banister, stairs, ceiling lamp>?", "options": ["A) None", "B) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, chair -> Region 2 <room with the banister, stairs, ceiling lamp>", "C) None", "D) Region 1 <room with the desk, bath side table, basket> -> Region 2 <room with the banister, stairs, ceiling lamp>"], "answer": "B) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, chair -> Region 2 <room with the banister, stairs, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, bath side table, basket> to Region 2 <room with the banister, stairs, ceiling lamp>?", "options": ["A) None", "B) None", "C) None", "D) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs, ceiling lamp>"], "answer": "D) Region 1 <room with the desk, bath side table, basket> -> room with the candle, fur carpet, ottoman -> Region 2 <room with the banister, stairs, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/eF36g7L6Z9M/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, couch> to Region 2 <room with the statue, box of tissues, bottle>?", "options": ["A) Region 1 <room with the tv, armchair, couch> -> room with the wall electronics, sconce, board -> Region 2 <room with the statue, box of tissues, bottle>", "B) Region 1 <room with the tv, armchair, couch> -> room with the bucket, pot, fireplace -> Region 2 <room with the statue, box of tissues, bottle>", "C) Region 1 <room with the tv, armchair, couch> -> room with the bucket, pot, fireplace -> room with the wall electronics, sconce, board -> Region 2 <room with the statue, box of tissues, bottle>", "D) Region 1 <room with the tv, armchair, couch> -> Region 2 <room with the statue, box of tissues, bottle>"], "answer": "A) Region 1 <room with the tv, armchair, couch> -> room with the wall electronics, sconce, board -> Region 2 <room with the statue, box of tissues, bottle>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, board> to Region 2 <room with the wall electronics, sconce, board>?", "options": ["A) Region 1 <room with the wall electronics, sconce, board> -> room with the statue, box of tissues, bottle -> Region 2 <room with the wall electronics, sconce, board>", "B) Region 1 <room with the wall electronics, sconce, board> -> room with the statue, box of tissues, bottle -> room with the tv, armchair, couch -> Region 2 <room with the wall electronics, sconce, board>", "C) Region 1 <room with the wall electronics, sconce, board> -> Region 2 <room with the wall electronics, sconce, board>", "D) Region 1 <room with the wall electronics, sconce, board> -> room with the tv, armchair, couch -> room with the statue, box of tissues, bottle -> Region 2 <room with the wall electronics, sconce, board>"], "answer": "A) Region 1 <room with the wall electronics, sconce, board> -> room with the statue, box of tissues, bottle -> Region 2 <room with the wall electronics, sconce, board>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, couch> to Region 2 <room with the wall electronics, sconce, board>?", "options": ["A) Region 1 <room with the tv, armchair, couch> -> room with the wall electronics, sconce, board -> room with the statue, box of tissues, bottle -> Region 2 <room with the wall electronics, sconce, board>", "B) Region 1 <room with the tv, armchair, couch> -> room with the wall electronics, sconce, board -> Region 2 <room with the wall electronics, sconce, board>", "C) Region 1 <room with the tv, armchair, couch> -> Region 2 <room with the wall electronics, sconce, board>", "D) Region 1 <room with the tv, armchair, couch> -> room with the statue, box of tissues, bottle -> room with the wall electronics, sconce, board -> Region 2 <room with the wall electronics, sconce, board>"], "answer": "A) Region 1 <room with the tv, armchair, couch> -> room with the wall electronics, sconce, board -> room with the statue, box of tissues, bottle -> Region 2 <room with the wall electronics, sconce, board>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the blanket, tv, armchair> to Region 2 <room with the washing stuff, bar, countertop>?", "options": ["A) Region 1 <room with the blanket, tv, armchair> -> Region 2 <room with the washing stuff, bar, countertop>", "B) Region 1 <room with the blanket, tv, armchair> -> room with the towel ring, mirror, shelf -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the washing stuff, bar, countertop>", "C) Region 1 <room with the blanket, tv, armchair> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the washing stuff, bar, countertop>", "D) Region 1 <room with the blanket, tv, armchair> -> room with the towel ring, mirror, shelf -> Region 2 <room with the washing stuff, bar, countertop>"], "answer": "D) Region 1 <room with the blanket, tv, armchair> -> room with the towel ring, mirror, shelf -> Region 2 <room with the washing stuff, bar, countertop>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the towel ring, mirror, shelf> to Region 2 <room with the wall electronics, sconce, ceiling lamp>?", "options": ["A) Region 1 <room with the towel ring, mirror, shelf> -> Region 2 <room with the wall electronics, sconce, ceiling lamp>", "B) Region 1 <room with the towel ring, mirror, shelf> -> room with the washing stuff, bar, countertop -> Region 2 <room with the wall electronics, sconce, ceiling lamp>", "C) Region 1 <room with the towel ring, mirror, shelf> -> room with the blanket, tv, armchair -> room with the washing stuff, bar, countertop -> Region 2 <room with the wall electronics, sconce, ceiling lamp>", "D) Region 1 <room with the towel ring, mirror, shelf> -> room with the washing stuff, bar, countertop -> room with the blanket, tv, armchair -> Region 2 <room with the wall electronics, sconce, ceiling lamp>"], "answer": "B) Region 1 <room with the towel ring, mirror, shelf> -> room with the washing stuff, bar, countertop -> Region 2 <room with the wall electronics, sconce, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the blanket, tv, armchair> to Region 2 <room with the wall electronics, sconce, ceiling lamp>?", "options": ["A) Region 1 <room with the blanket, tv, armchair> -> room with the washing stuff, bar, countertop -> Region 2 <room with the wall electronics, sconce, ceiling lamp>", "B) Region 1 <room with the blanket, tv, armchair> -> room with the towel ring, mirror, shelf -> room with the washing stuff, bar, countertop -> Region 2 <room with the wall electronics, sconce, ceiling lamp>", "C) Region 1 <room with the blanket, tv, armchair> -> room with the towel ring, mirror, shelf -> Region 2 <room with the wall electronics, sconce, ceiling lamp>", "D) Region 1 <room with the blanket, tv, armchair> -> Region 2 <room with the wall electronics, sconce, ceiling lamp>"], "answer": "B) Region 1 <room with the blanket, tv, armchair> -> room with the towel ring, mirror, shelf -> room with the washing stuff, bar, countertop -> Region 2 <room with the wall electronics, sconce, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route1/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bench, door window, basket> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the bench, door window, basket> -> room with the bucket, fireplace, stairs railing -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the bucket, fireplace, stairs railing -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the bucket, fireplace, stairs railing -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "C) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the bucket, fireplace, stairs railing>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> room with the bench, door window, basket -> room with the towel ring, washing stuff, bar -> Region 2 <room with the bucket, fireplace, stairs railing>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, bar -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, bar -> room with the bench, door window, basket -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> room with the bench, door window, basket -> Region 2 <room with the bucket, fireplace, stairs railing>"], "answer": "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, bar -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bench, door window, basket> to Region 2 <room with the bucket, fireplace, stairs railing>?", "options": ["A) Region 1 <room with the bench, door window, basket> -> room with the faucet, kitchen extractor, oven and stove -> room with the towel ring, washing stuff, bar -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the bucket, fireplace, stairs railing>", "B) Region 1 <room with the bench, door window, basket> -> room with the towel ring, washing stuff, bar -> room with the faucet, kitchen extractor, oven and stove -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the bucket, fireplace, stairs railing>", "C) Region 1 <room with the bench, door window, basket> -> room with the towel ring, washing stuff, bar -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>", "D) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, bar -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>"], "answer": "D) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, bar -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the door window, bench, basket> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the door window, bench, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the door window, bench, basket> -> room with the towel ring, washing stuff, countertop -> room with the wall electronics, sconce, ceiling lamp -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the door window, bench, basket> -> room with the coaster, desk, dining table -> room with the towel ring, washing stuff, countertop -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the door window, bench, basket> -> room with the coaster, desk, dining table -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "A) Region 1 <room with the door window, bench, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the coaster, desk, dining table>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> room with the door window, bench, basket -> Region 2 <room with the coaster, desk, dining table>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the door window, bench, basket -> Region 2 <room with the coaster, desk, dining table>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>"], "answer": "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the door window, bench, basket> to Region 2 <room with the coaster, desk, dining table>?", "options": ["A) Region 1 <room with the door window, bench, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "B) Region 1 <room with the door window, bench, basket> -> room with the faucet, kitchen extractor, oven and stove -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the coaster, desk, dining table>", "C) Region 1 <room with the door window, bench, basket> -> room with the towel ring, washing stuff, countertop -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the coaster, desk, dining table>", "D) Region 1 <room with the door window, bench, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the faucet, kitchen extractor, oven and stove -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the coaster, desk, dining table>"], "answer": "A) Region 1 <room with the door window, bench, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the countertop, bathroom towel, cabinet> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the piano stool, table, piano -> room with the countertop, sink, cabinet -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the piano stool, table, piano -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the countertop, sink, cabinet -> room with the piano stool, table, piano -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the countertop, sink, cabinet -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "D) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the countertop, sink, cabinet -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the countertop, sink, cabinet> to Region 2 <room with the piano stool, table, piano>?", "options": ["A) Region 1 <room with the countertop, sink, cabinet> -> Region 2 <room with the piano stool, table, piano>", "B) Region 1 <room with the countertop, sink, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, piano>", "C) Region 1 <room with the countertop, sink, cabinet> -> room with the countertop, bathroom towel, cabinet -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, piano>", "D) Region 1 <room with the countertop, sink, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> room with the countertop, bathroom towel, cabinet -> Region 2 <room with the piano stool, table, piano>"], "answer": "B) Region 1 <room with the countertop, sink, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, piano>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the countertop, bathroom towel, cabinet> to Region 2 <room with the piano stool, table, piano>?", "options": ["A) Region 1 <room with the countertop, bathroom towel, cabinet> -> Region 2 <room with the piano stool, table, piano>", "B) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> room with the countertop, sink, cabinet -> Region 2 <room with the piano stool, table, piano>", "C) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the countertop, sink, cabinet -> Region 2 <room with the piano stool, table, piano>", "D) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the countertop, sink, cabinet -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, piano>"], "answer": "D) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the countertop, sink, cabinet -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, piano>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the piano stool, table, piano -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the bar, countertop, washing machine and dryer -> room with the piano stool, table, piano -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the bar, countertop, washing machine and dryer -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the bar, countertop, washing machine and dryer -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bar, countertop, washing machine and dryer> to Region 2 <room with the piano stool, table, piano>?", "options": ["A) Region 1 <room with the bar, countertop, washing machine and dryer> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, piano>", "B) Region 1 <room with the bar, countertop, washing machine and dryer> -> room with the faucet, kitchen extractor, oven and stove -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the piano stool, table, piano>", "C) Region 1 <room with the bar, countertop, washing machine and dryer> -> Region 2 <room with the piano stool, table, piano>", "D) Region 1 <room with the bar, countertop, washing machine and dryer> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the piano stool, table, piano>"], "answer": "A) Region 1 <room with the bar, countertop, washing machine and dryer> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, piano>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the piano stool, table, piano>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> room with the bar, countertop, washing machine and dryer -> Region 2 <room with the piano stool, table, piano>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> Region 2 <room with the piano stool, table, piano>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the bar, countertop, washing machine and dryer -> Region 2 <room with the piano stool, table, piano>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the bar, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, piano>"], "answer": "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the bar, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, piano>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the piano stool, table, flowerpot -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the piano stool, table, flowerpot -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route17/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the towel ring, washing stuff, countertop> to Region 2 <room with the piano stool, table, flowerpot>?", "options": ["A) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the faucet, kitchen extractor, oven and stove -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the piano stool, table, flowerpot>", "B) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the piano stool, table, flowerpot>", "C) Region 1 <room with the towel ring, washing stuff, countertop> -> Region 2 <room with the piano stool, table, flowerpot>", "D) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>"], "answer": "D) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route17/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the piano stool, table, flowerpot>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the piano stool, table, flowerpot>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the piano stool, table, flowerpot>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>"], "answer": "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route17/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route17/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the bucket, fireplace, stairs railing -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the bucket, fireplace, stairs railing -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route18/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the towel ring, washing stuff, countertop> to Region 2 <room with the bucket, fireplace, stairs railing>?", "options": ["A) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the faucet, kitchen extractor, oven and stove -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the bucket, fireplace, stairs railing>", "B) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>", "C) Region 1 <room with the towel ring, washing stuff, countertop> -> Region 2 <room with the bucket, fireplace, stairs railing>", "D) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the bucket, fireplace, stairs railing>"], "answer": "B) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route18/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the bucket, fireplace, stairs railing>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the bucket, fireplace, stairs railing>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the bucket, fireplace, stairs railing>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>"], "answer": "A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, stairs railing>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route18/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the dining table, desk, lampshade -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the dining table, desk, lampshade -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the towel ring, washing stuff, countertop> to Region 2 <room with the dining table, desk, lampshade>?", "options": ["A) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the wall electronics, sconce, ceiling lamp -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the dining table, desk, lampshade>", "B) Region 1 <room with the towel ring, washing stuff, countertop> -> Region 2 <room with the dining table, desk, lampshade>", "C) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the dining table, desk, lampshade>", "D) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the faucet, kitchen extractor, oven and stove -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the dining table, desk, lampshade>"], "answer": "C) Region 1 <room with the towel ring, washing stuff, countertop> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the dining table, desk, lampshade>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the dining table, desk, lampshade>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the dining table, desk, lampshade>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the dining table, desk, lampshade>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> room with the towel ring, washing stuff, countertop -> Region 2 <room with the dining table, desk, lampshade>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the dining table, desk, lampshade>"], "answer": "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the dining table, desk, lampshade>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route19/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, window curtain> to Region 2 <room with the towel ring, faucet, washing stuff>?", "options": ["A) Region 1 <room with the tv, armchair, window curtain> -> Region 2 <room with the towel ring, faucet, washing stuff>", "B) Region 1 <room with the tv, armchair, window curtain> -> room with the kitchen extractor, oven and stove, kitchen island -> room with the countertop, bathroom towel, cabinet -> Region 2 <room with the towel ring, faucet, washing stuff>", "C) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> Region 2 <room with the towel ring, faucet, washing stuff>", "D) Region 1 <room with the tv, armchair, window curtain> -> room with the kitchen extractor, oven and stove, kitchen island -> Region 2 <room with the towel ring, faucet, washing stuff>"], "answer": "C) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> Region 2 <room with the towel ring, faucet, washing stuff>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the countertop, bathroom towel, cabinet> to Region 2 <room with the kitchen extractor, oven and stove, kitchen island>?", "options": ["A) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the towel ring, faucet, washing stuff -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "B) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the tv, armchair, window curtain -> room with the towel ring, faucet, washing stuff -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "C) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the towel ring, faucet, washing stuff -> room with the tv, armchair, window curtain -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "D) Region 1 <room with the countertop, bathroom towel, cabinet> -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>"], "answer": "A) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the towel ring, faucet, washing stuff -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, window curtain> to Region 2 <room with the kitchen extractor, oven and stove, kitchen island>?", "options": ["A) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the towel ring, faucet, washing stuff -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "B) Region 1 <room with the tv, armchair, window curtain> -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "C) Region 1 <room with the tv, armchair, window curtain> -> room with the towel ring, faucet, washing stuff -> room with the countertop, bathroom towel, cabinet -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "D) Region 1 <room with the tv, armchair, window curtain> -> room with the towel ring, faucet, washing stuff -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>"], "answer": "A) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the towel ring, faucet, washing stuff -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the countertop, cabinet> to Region 2 <room with the piano stool, table, flowerpot>?", "options": ["A) Region 1 <room with the countertop, cabinet> -> Region 2 <room with the piano stool, table, flowerpot>", "B) Region 1 <room with the countertop, cabinet> -> room with the bucket, fireplace, vessel -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "C) Region 1 <room with the countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "D) Region 1 <room with the countertop, cabinet> -> room with the bucket, fireplace, vessel -> Region 2 <room with the piano stool, table, flowerpot>"], "answer": "C) Region 1 <room with the countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, kitchen extractor, oven and stove> to Region 2 <room with the bucket, fireplace, vessel>?", "options": ["A) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the countertop, cabinet -> room with the piano stool, table, flowerpot -> Region 2 <room with the bucket, fireplace, vessel>", "B) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the countertop, cabinet -> Region 2 <room with the bucket, fireplace, vessel>", "C) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the piano stool, table, flowerpot -> room with the countertop, cabinet -> Region 2 <room with the bucket, fireplace, vessel>", "D) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the piano stool, table, flowerpot -> Region 2 <room with the bucket, fireplace, vessel>"], "answer": "D) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the piano stool, table, flowerpot -> Region 2 <room with the bucket, fireplace, vessel>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the countertop, cabinet> to Region 2 <room with the bucket, fireplace, vessel>?", "options": ["A) Region 1 <room with the countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> room with the piano stool, table, flowerpot -> Region 2 <room with the bucket, fireplace, vessel>", "B) Region 1 <room with the countertop, cabinet> -> room with the piano stool, table, flowerpot -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, vessel>", "C) Region 1 <room with the countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, vessel>", "D) Region 1 <room with the countertop, cabinet> -> room with the piano stool, table, flowerpot -> Region 2 <room with the bucket, fireplace, vessel>"], "answer": "A) Region 1 <room with the countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> room with the piano stool, table, flowerpot -> Region 2 <room with the bucket, fireplace, vessel>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route20/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the washing machine and dryer, countertop, cabinet> to Region 2 <room with the bucket, fireplace, recessed wall>?", "options": ["A) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, recessed wall>", "B) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the piano stool, table, flowerpot -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, recessed wall>", "C) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the piano stool, table, flowerpot -> Region 2 <room with the bucket, fireplace, recessed wall>", "D) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> room with the piano stool, table, flowerpot -> Region 2 <room with the bucket, fireplace, recessed wall>"], "answer": "A) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the bucket, fireplace, recessed wall>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, kitchen extractor, oven and stove> to Region 2 <room with the piano stool, table, flowerpot>?", "options": ["A) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the bucket, fireplace, recessed wall -> room with the washing machine and dryer, countertop, cabinet -> Region 2 <room with the piano stool, table, flowerpot>", "B) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the bucket, fireplace, recessed wall -> Region 2 <room with the piano stool, table, flowerpot>", "C) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the washing machine and dryer, countertop, cabinet -> Region 2 <room with the piano stool, table, flowerpot>", "D) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> Region 2 <room with the piano stool, table, flowerpot>"], "answer": "B) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the bucket, fireplace, recessed wall -> Region 2 <room with the piano stool, table, flowerpot>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the washing machine and dryer, countertop, cabinet> to Region 2 <room with the piano stool, table, flowerpot>?", "options": ["A) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the bucket, fireplace, recessed wall -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "B) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> room with the bucket, fireplace, recessed wall -> Region 2 <room with the piano stool, table, flowerpot>", "C) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the bucket, fireplace, recessed wall -> Region 2 <room with the piano stool, table, flowerpot>", "D) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>"], "answer": "B) Region 1 <room with the washing machine and dryer, countertop, cabinet> -> room with the faucet, kitchen extractor, oven and stove -> room with the bucket, fireplace, recessed wall -> Region 2 <room with the piano stool, table, flowerpot>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route21/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the washing machine and dryer, countertop> to Region 2 <room with the coaster, desk, dining table>?", "options": ["A) Region 1 <room with the washing machine and dryer, countertop> -> room with the faucet, kitchen extractor, oven and stove -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the coaster, desk, dining table>", "B) Region 1 <room with the washing machine and dryer, countertop> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the coaster, desk, dining table>", "C) Region 1 <room with the washing machine and dryer, countertop> -> room with the wall electronics, sconce, ceiling lamp -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "D) Region 1 <room with the washing machine and dryer, countertop> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>"], "answer": "D) Region 1 <room with the washing machine and dryer, countertop> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, kitchen extractor, oven and stove> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the coaster, desk, dining table -> room with the washing machine and dryer, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the washing machine and dryer, countertop -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "B) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the washing machine and dryer, countertop> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the washing machine and dryer, countertop> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the washing machine and dryer, countertop> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the washing machine and dryer, countertop> -> room with the faucet, kitchen extractor, oven and stove -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the washing machine and dryer, countertop> -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "C) Region 1 <room with the washing machine and dryer, countertop> -> room with the faucet, kitchen extractor, oven and stove -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route22/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano stool, table, piano> to Region 2 <room with the coaster, dining table, desk>?", "options": ["A) Region 1 <room with the piano stool, table, piano> -> room with the bench, flowerpot, flower stand -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, dining table, desk>", "B) Region 1 <room with the piano stool, table, piano> -> room with the faucet, kitchen extractor, oven and stove -> room with the bench, flowerpot, flower stand -> Region 2 <room with the coaster, dining table, desk>", "C) Region 1 <room with the piano stool, table, piano> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, dining table, desk>", "D) Region 1 <room with the piano stool, table, piano> -> Region 2 <room with the coaster, dining table, desk>"], "answer": "C) Region 1 <room with the piano stool, table, piano> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, dining table, desk>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route23/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, kitchen extractor, oven and stove> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the coaster, dining table, desk -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the coaster, dining table, desk -> room with the piano stool, table, piano -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the piano stool, table, piano -> room with the coaster, dining table, desk -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "A) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the coaster, dining table, desk -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route23/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the piano stool, table, piano> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the piano stool, table, piano> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the piano stool, table, piano> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the piano stool, table, piano> -> room with the faucet, kitchen extractor, oven and stove -> room with the coaster, dining table, desk -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the piano stool, table, piano> -> room with the coaster, dining table, desk -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "C) Region 1 <room with the piano stool, table, piano> -> room with the faucet, kitchen extractor, oven and stove -> room with the coaster, dining table, desk -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route23/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route23/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bucket, fireplace, vessel> to Region 2 <room with the coaster, desk, dining table>?", "options": ["A) Region 1 <room with the bucket, fireplace, vessel> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "B) Region 1 <room with the bucket, fireplace, vessel> -> room with the bench, flower stand, flowerpot -> Region 2 <room with the coaster, desk, dining table>", "C) Region 1 <room with the bucket, fireplace, vessel> -> room with the bench, flower stand, flowerpot -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "D) Region 1 <room with the bucket, fireplace, vessel> -> room with the faucet, kitchen extractor, oven and stove -> room with the bench, flower stand, flowerpot -> Region 2 <room with the coaster, desk, dining table>"], "answer": "A) Region 1 <room with the bucket, fireplace, vessel> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, kitchen extractor, oven and stove> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the bucket, fireplace, vessel -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the bucket, fireplace, vessel -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "C) Region 1 <room with the faucet, kitchen extractor, oven and stove> -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bucket, fireplace, vessel> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the bucket, fireplace, vessel> -> room with the coaster, desk, dining table -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the bucket, fireplace, vessel> -> room with the faucet, kitchen extractor, oven and stove -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the bucket, fireplace, vessel> -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the bucket, fireplace, vessel> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "B) Region 1 <room with the bucket, fireplace, vessel> -> room with the faucet, kitchen extractor, oven and stove -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, window curtain> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the tv, armchair, window curtain> -> room with the washing stuff, countertop, washing machine and dryer -> room with the countertop, bathroom towel, cabinet -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the tv, armchair, window curtain> -> room with the washing stuff, countertop, washing machine and dryer -> room with the piano stool, table, flowerpot -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the tv, armchair, window curtain> -> room with the piano stool, table, flowerpot -> room with the countertop, bathroom towel, cabinet -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "A) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the countertop, bathroom towel, cabinet> to Region 2 <room with the piano stool, table, flowerpot>?", "options": ["A) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the washing stuff, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "B) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the tv, armchair, window curtain -> room with the faucet, kitchen extractor, oven and stove -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the piano stool, table, flowerpot>", "C) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the tv, armchair, window curtain -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the piano stool, table, flowerpot>", "D) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the washing stuff, countertop, washing machine and dryer -> room with the tv, armchair, window curtain -> Region 2 <room with the piano stool, table, flowerpot>"], "answer": "A) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the washing stuff, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, window curtain> to Region 2 <room with the piano stool, table, flowerpot>?", "options": ["A) Region 1 <room with the tv, armchair, window curtain> -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the piano stool, table, flowerpot>", "B) Region 1 <room with the tv, armchair, window curtain> -> room with the washing stuff, countertop, washing machine and dryer -> room with the countertop, bathroom towel, cabinet -> Region 2 <room with the piano stool, table, flowerpot>", "C) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the washing stuff, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "D) Region 1 <room with the tv, armchair, window curtain> -> room with the faucet, kitchen extractor, oven and stove -> room with the countertop, bathroom towel, cabinet -> Region 2 <room with the piano stool, table, flowerpot>"], "answer": "C) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the washing stuff, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, window curtain> to Region 2 <room with the kitchen extractor, oven and stove, kitchen island>?", "options": ["A) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the washing stuff, faucet, countertop -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "B) Region 1 <room with the tv, armchair, window curtain> -> room with the washing stuff, faucet, countertop -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "C) Region 1 <room with the tv, armchair, window curtain> -> room with the bucket, fireplace, stairs railing -> room with the washing stuff, faucet, countertop -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "D) Region 1 <room with the tv, armchair, window curtain> -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>"], "answer": "A) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the washing stuff, faucet, countertop -> Region 2 <room with the kitchen extractor, oven and stove, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the countertop, bathroom towel, cabinet> to Region 2 <room with the bucket, fireplace, stairs railing>?", "options": ["A) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the washing stuff, faucet, countertop -> room with the kitchen extractor, oven and stove, kitchen island -> room with the tv, armchair, window curtain -> Region 2 <room with the bucket, fireplace, stairs railing>", "B) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the washing stuff, faucet, countertop -> room with the kitchen extractor, oven and stove, kitchen island -> Region 2 <room with the bucket, fireplace, stairs railing>", "C) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the kitchen extractor, oven and stove, kitchen island -> room with the tv, armchair, window curtain -> Region 2 <room with the bucket, fireplace, stairs railing>", "D) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the tv, armchair, window curtain -> room with the kitchen extractor, oven and stove, kitchen island -> Region 2 <room with the bucket, fireplace, stairs railing>"], "answer": "B) Region 1 <room with the countertop, bathroom towel, cabinet> -> room with the washing stuff, faucet, countertop -> room with the kitchen extractor, oven and stove, kitchen island -> Region 2 <room with the bucket, fireplace, stairs railing>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, window curtain> to Region 2 <room with the bucket, fireplace, stairs railing>?", "options": ["A) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the washing stuff, faucet, countertop -> room with the kitchen extractor, oven and stove, kitchen island -> Region 2 <room with the bucket, fireplace, stairs railing>", "B) Region 1 <room with the tv, armchair, window curtain> -> room with the kitchen extractor, oven and stove, kitchen island -> room with the countertop, bathroom towel, cabinet -> Region 2 <room with the bucket, fireplace, stairs railing>", "C) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the kitchen extractor, oven and stove, kitchen island -> Region 2 <room with the bucket, fireplace, stairs railing>", "D) Region 1 <room with the tv, armchair, window curtain> -> room with the washing stuff, faucet, countertop -> room with the kitchen extractor, oven and stove, kitchen island -> Region 2 <room with the bucket, fireplace, stairs railing>"], "answer": "A) Region 1 <room with the tv, armchair, window curtain> -> room with the countertop, bathroom towel, cabinet -> room with the washing stuff, faucet, countertop -> room with the kitchen extractor, oven and stove, kitchen island -> Region 2 <room with the bucket, fireplace, stairs railing>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, window curtain> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the tv, armchair, window curtain> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the tv, armchair, window curtain> -> room with the shower cabin, countertop, bathroom towel -> room with the washing stuff, countertop, washing machine and dryer -> room with the coaster, desk, dining table -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the tv, armchair, window curtain> -> room with the coaster, desk, dining table -> room with the shower cabin, countertop, bathroom towel -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the tv, armchair, window curtain> -> room with the shower cabin, countertop, bathroom towel -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "D) Region 1 <room with the tv, armchair, window curtain> -> room with the shower cabin, countertop, bathroom towel -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower cabin, countertop, bathroom towel> to Region 2 <room with the coaster, desk, dining table>?", "options": ["A) Region 1 <room with the shower cabin, countertop, bathroom towel> -> room with the faucet, kitchen extractor, oven and stove -> room with the tv, armchair, window curtain -> Region 2 <room with the coaster, desk, dining table>", "B) Region 1 <room with the shower cabin, countertop, bathroom towel> -> room with the washing stuff, countertop, washing machine and dryer -> room with the tv, armchair, window curtain -> Region 2 <room with the coaster, desk, dining table>", "C) Region 1 <room with the shower cabin, countertop, bathroom towel> -> room with the faucet, kitchen extractor, oven and stove -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the coaster, desk, dining table>", "D) Region 1 <room with the shower cabin, countertop, bathroom towel> -> room with the washing stuff, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>"], "answer": "D) Region 1 <room with the shower cabin, countertop, bathroom towel> -> room with the washing stuff, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, armchair, window curtain> to Region 2 <room with the coaster, desk, dining table>?", "options": ["A) Region 1 <room with the tv, armchair, window curtain> -> room with the faucet, kitchen extractor, oven and stove -> room with the washing stuff, countertop, washing machine and dryer -> room with the shower cabin, countertop, bathroom towel -> Region 2 <room with the coaster, desk, dining table>", "B) Region 1 <room with the tv, armchair, window curtain> -> room with the shower cabin, countertop, bathroom towel -> room with the faucet, kitchen extractor, oven and stove -> room with the washing stuff, countertop, washing machine and dryer -> Region 2 <room with the coaster, desk, dining table>", "C) Region 1 <room with the tv, armchair, window curtain> -> room with the washing stuff, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "D) Region 1 <room with the tv, armchair, window curtain> -> room with the shower cabin, countertop, bathroom towel -> room with the washing stuff, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>"], "answer": "D) Region 1 <room with the tv, armchair, window curtain> -> room with the shower cabin, countertop, bathroom towel -> room with the washing stuff, countertop, washing machine and dryer -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the coaster, desk, dining table>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the statue, bench, door window> to Region 2 <room with the towel ring, toilet, shelf>?", "options": ["A) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, board -> room with the washing machine and dryer, countertop, ceiling lamp -> Region 2 <room with the towel ring, toilet, shelf>", "B) Region 1 <room with the statue, bench, door window> -> room with the washing machine and dryer, countertop, ceiling lamp -> Region 2 <room with the towel ring, toilet, shelf>", "C) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, board -> Region 2 <room with the towel ring, toilet, shelf>", "D) Region 1 <room with the statue, bench, door window> -> Region 2 <room with the towel ring, toilet, shelf>"], "answer": "C) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, board -> Region 2 <room with the towel ring, toilet, shelf>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, board> to Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>?", "options": ["A) Region 1 <room with the wall electronics, sconce, board> -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>", "B) Region 1 <room with the wall electronics, sconce, board> -> room with the statue, bench, door window -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>", "C) Region 1 <room with the wall electronics, sconce, board> -> room with the towel ring, toilet, shelf -> room with the statue, bench, door window -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>", "D) Region 1 <room with the wall electronics, sconce, board> -> room with the towel ring, toilet, shelf -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>"], "answer": "D) Region 1 <room with the wall electronics, sconce, board> -> room with the towel ring, toilet, shelf -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the statue, bench, door window> to Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>?", "options": ["A) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, board -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>", "B) Region 1 <room with the statue, bench, door window> -> room with the towel ring, toilet, shelf -> room with the wall electronics, sconce, board -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>", "C) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, board -> room with the towel ring, toilet, shelf -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>", "D) Region 1 <room with the statue, bench, door window> -> room with the towel ring, toilet, shelf -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>"], "answer": "C) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, board -> room with the towel ring, toilet, shelf -> Region 2 <room with the washing machine and dryer, countertop, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the statue, bench, door window> to Region 2 <room with the towel ring, washing stuff, bar>?", "options": ["A) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the towel ring, washing stuff, bar>", "B) Region 1 <room with the statue, bench, door window> -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the towel ring, washing stuff, bar>", "C) Region 1 <room with the statue, bench, door window> -> Region 2 <room with the towel ring, washing stuff, bar>", "D) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the towel ring, washing stuff, bar>"], "answer": "A) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the towel ring, washing stuff, bar>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, bar -> room with the statue, bench, door window -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the statue, bench, door window -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the statue, bench, door window> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the statue, bench, door window> -> room with the towel ring, washing stuff, bar -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the statue, bench, door window> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "A) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the statue, bench, door window> to Region 2 <room with the towel ring, washing stuff, bar>?", "options": ["A) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the towel ring, washing stuff, bar>", "B) Region 1 <room with the statue, bench, door window> -> Region 2 <room with the towel ring, washing stuff, bar>", "C) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the towel ring, washing stuff, bar>", "D) Region 1 <room with the statue, bench, door window> -> room with the faucet, kitchen extractor, oven and stove -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the towel ring, washing stuff, bar>"], "answer": "C) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the towel ring, washing stuff, bar>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the statue, bench, door window -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the statue, bench, door window -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the statue, bench, door window> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the statue, bench, door window> -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the statue, bench, door window> -> room with the towel ring, washing stuff, bar -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "B) Region 1 <room with the statue, bench, door window> -> room with the wall electronics, sconce, ceiling lamp -> room with the towel ring, washing stuff, bar -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bench, door window, basket> to Region 2 <room with the faucet, kitchen extractor, oven and stove>?", "options": ["A) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the piano stool, table, flowerpot -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "B) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the washing stuff, bar, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "C) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "D) Region 1 <room with the bench, door window, basket> -> room with the piano stool, table, flowerpot -> room with the wall electronics, sconce, ceiling lamp -> room with the washing stuff, bar, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>"], "answer": "B) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the washing stuff, bar, countertop -> Region 2 <room with the faucet, kitchen extractor, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall electronics, sconce, ceiling lamp> to Region 2 <room with the piano stool, table, flowerpot>?", "options": ["A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the washing stuff, bar, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "B) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> Region 2 <room with the piano stool, table, flowerpot>", "C) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the bench, door window, basket -> Region 2 <room with the piano stool, table, flowerpot>", "D) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the faucet, kitchen extractor, oven and stove -> room with the washing stuff, bar, countertop -> Region 2 <room with the piano stool, table, flowerpot>"], "answer": "A) Region 1 <room with the wall electronics, sconce, ceiling lamp> -> room with the washing stuff, bar, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bench, door window, basket> to Region 2 <room with the piano stool, table, flowerpot>?", "options": ["A) Region 1 <room with the bench, door window, basket> -> room with the faucet, kitchen extractor, oven and stove -> room with the washing stuff, bar, countertop -> Region 2 <room with the piano stool, table, flowerpot>", "B) Region 1 <room with the bench, door window, basket> -> room with the washing stuff, bar, countertop -> room with the wall electronics, sconce, ceiling lamp -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "C) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the washing stuff, bar, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "D) Region 1 <room with the bench, door window, basket> -> room with the faucet, kitchen extractor, oven and stove -> room with the wall electronics, sconce, ceiling lamp -> room with the washing stuff, bar, countertop -> Region 2 <room with the piano stool, table, flowerpot>"], "answer": "C) Region 1 <room with the bench, door window, basket> -> room with the wall electronics, sconce, ceiling lamp -> room with the washing stuff, bar, countertop -> room with the faucet, kitchen extractor, oven and stove -> Region 2 <room with the piano stool, table, flowerpot>", "videos": ["dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/h1zeeAwLh9Z/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the exhibition panel, information, ceiling boarder> to Region 2 <room with the carpet, entrance arch, sofa>?", "options": ["A) Region 1 <room with the exhibition panel, information, ceiling boarder> -> room with the arch, bin, map -> room with the stained glass, radiator, ceiling decorative lamp -> Region 2 <room with the carpet, entrance arch, sofa>", "B) Region 1 <room with the exhibition panel, information, ceiling boarder> -> room with the arch, bin, map -> Region 2 <room with the carpet, entrance arch, sofa>", "C) Region 1 <room with the exhibition panel, information, ceiling boarder> -> Region 2 <room with the carpet, entrance arch, sofa>", "D) Region 1 <room with the exhibition panel, information, ceiling boarder> -> room with the stained glass, radiator, ceiling decorative lamp -> room with the arch, bin, map -> Region 2 <room with the carpet, entrance arch, sofa>"], "answer": "B) Region 1 <room with the exhibition panel, information, ceiling boarder> -> room with the arch, bin, map -> Region 2 <room with the carpet, entrance arch, sofa>", "videos": ["dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the arch, bin, map> to Region 2 <room with the arch, bin, map>?", "options": ["A) Region 1 <room with the arch, bin, map> -> room with the exhibition panel, information, ceiling boarder -> room with the carpet, entrance arch, sofa -> Region 2 <room with the arch, bin, map>", "B) Region 1 <room with the arch, bin, map> -> room with the carpet, entrance arch, sofa -> Region 2 <room with the arch, bin, map>", "C) Region 1 <room with the arch, bin, map> -> room with the carpet, entrance arch, sofa -> room with the exhibition panel, information, ceiling boarder -> Region 2 <room with the arch, bin, map>", "D) Region 1 <room with the arch, bin, map> -> room with the exhibition panel, information, ceiling boarder -> Region 2 <room with the arch, bin, map>"], "answer": "B) Region 1 <room with the arch, bin, map> -> room with the carpet, entrance arch, sofa -> Region 2 <room with the arch, bin, map>", "videos": ["dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the exhibition panel, information, ceiling boarder> to Region 2 <room with the arch, bin, map>?", "options": ["A) Region 1 <room with the exhibition panel, information, ceiling boarder> -> room with the arch, bin, map -> Region 2 <room with the arch, bin, map>", "B) Region 1 <room with the exhibition panel, information, ceiling boarder> -> Region 2 <room with the arch, bin, map>", "C) Region 1 <room with the exhibition panel, information, ceiling boarder> -> room with the arch, bin, map -> room with the carpet, entrance arch, sofa -> Region 2 <room with the arch, bin, map>", "D) Region 1 <room with the exhibition panel, information, ceiling boarder> -> room with the carpet, entrance arch, sofa -> room with the arch, bin, map -> Region 2 <room with the arch, bin, map>"], "answer": "C) Region 1 <room with the exhibition panel, information, ceiling boarder> -> room with the arch, bin, map -> room with the carpet, entrance arch, sofa -> Region 2 <room with the arch, bin, map>", "videos": ["dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/k1cupFYWXJ6/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the led tv, wardrobe, newspaper> to Region 2 <room with the bath faucet, tissue box, mirror>?", "options": ["A) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the sensor, picture -> room with the bed, book, curtain -> Region 2 <room with the bath faucet, tissue box, mirror>", "B) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the bed, book, curtain -> Region 2 <room with the bath faucet, tissue box, mirror>", "C) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the bed, book, curtain -> room with the sensor, picture -> Region 2 <room with the bath faucet, tissue box, mirror>", "D) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the sensor, picture -> Region 2 <room with the bath faucet, tissue box, mirror>"], "answer": "D) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the sensor, picture -> Region 2 <room with the bath faucet, tissue box, mirror>", "videos": ["dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sensor, picture> to Region 2 <room with the sensor, picture>?", "options": ["A) Region 1 <room with the sensor, picture> -> Region 2 <room with the sensor, picture>", "B) Region 1 <room with the sensor, picture> -> room with the bath faucet, tissue box, mirror -> Region 2 <room with the sensor, picture>", "C) Region 1 <room with the sensor, picture> -> room with the led tv, wardrobe, newspaper -> Region 2 <room with the sensor, picture>", "D) Region 1 <room with the sensor, picture> -> room with the led tv, wardrobe, newspaper -> room with the bath faucet, tissue box, mirror -> Region 2 <room with the sensor, picture>"], "answer": "B) Region 1 <room with the sensor, picture> -> room with the bath faucet, tissue box, mirror -> Region 2 <room with the sensor, picture>", "videos": ["dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the led tv, wardrobe, newspaper> to Region 2 <room with the sensor, picture>?", "options": ["A) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the sensor, picture -> room with the bath faucet, tissue box, mirror -> Region 2 <room with the sensor, picture>", "B) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the sensor, picture -> Region 2 <room with the sensor, picture>", "C) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the bath faucet, tissue box, mirror -> Region 2 <room with the sensor, picture>", "D) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the bath faucet, tissue box, mirror -> room with the sensor, picture -> Region 2 <room with the sensor, picture>"], "answer": "A) Region 1 <room with the led tv, wardrobe, newspaper> -> room with the sensor, picture -> room with the bath faucet, tissue box, mirror -> Region 2 <room with the sensor, picture>", "videos": ["dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mL8ThkuaVTM/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling fan, tv, pouffe> to Region 2 <room with the tissue box, faucet, table>?", "options": ["A) Region 1 <room with the ceiling fan, tv, pouffe> -> Region 2 <room with the tissue box, faucet, table>", "B) Region 1 <room with the ceiling fan, tv, pouffe> -> room with the table, support beam, decoration -> room with the wardrobe, alarm clock, tv -> Region 2 <room with the tissue box, faucet, table>", "C) Region 1 <room with the ceiling fan, tv, pouffe> -> room with the table, support beam, decoration -> Region 2 <room with the tissue box, faucet, table>", "D) Region 1 <room with the ceiling fan, tv, pouffe> -> room with the wardrobe, alarm clock, tv -> Region 2 <room with the tissue box, faucet, table>"], "answer": "D) Region 1 <room with the ceiling fan, tv, pouffe> -> room with the wardrobe, alarm clock, tv -> Region 2 <room with the tissue box, faucet, table>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, alarm clock, tv> to Region 2 <room with the wardrobe, alarm clock, tv>?", "options": ["A) Region 1 <room with the wardrobe, alarm clock, tv> -> room with the tissue box, faucet, table -> Region 2 <room with the wardrobe, alarm clock, tv>", "B) Region 1 <room with the wardrobe, alarm clock, tv> -> Region 2 <room with the wardrobe, alarm clock, tv>", "C) Region 1 <room with the wardrobe, alarm clock, tv> -> room with the ceiling fan, tv, pouffe -> Region 2 <room with the wardrobe, alarm clock, tv>", "D) Region 1 <room with the wardrobe, alarm clock, tv> -> room with the ceiling fan, tv, pouffe -> room with the tissue box, faucet, table -> Region 2 <room with the wardrobe, alarm clock, tv>"], "answer": "A) Region 1 <room with the wardrobe, alarm clock, tv> -> room with the tissue box, faucet, table -> Region 2 <room with the wardrobe, alarm clock, tv>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling fan, tv, pouffe> to Region 2 <room with the wardrobe, alarm clock, tv>?", "options": ["A) Region 1 <room with the ceiling fan, tv, pouffe> -> room with the tissue box, faucet, table -> room with the wardrobe, alarm clock, tv -> Region 2 <room with the wardrobe, alarm clock, tv>", "B) Region 1 <room with the ceiling fan, tv, pouffe> -> room with the wardrobe, alarm clock, tv -> Region 2 <room with the wardrobe, alarm clock, tv>", "C) Region 1 <room with the ceiling fan, tv, pouffe> -> Region 2 <room with the wardrobe, alarm clock, tv>", "D) Region 1 <room with the ceiling fan, tv, pouffe> -> room with the wardrobe, alarm clock, tv -> room with the tissue box, faucet, table -> Region 2 <room with the wardrobe, alarm clock, tv>"], "answer": "D) Region 1 <room with the ceiling fan, tv, pouffe> -> room with the wardrobe, alarm clock, tv -> room with the tissue box, faucet, table -> Region 2 <room with the wardrobe, alarm clock, tv>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, tv, ceiling fan> to Region 2 <room with the ceiling lamp, soap bottle, faucet>?", "options": ["A) Region 1 <room with the wardrobe, tv, ceiling fan> -> Region 2 <room with the ceiling lamp, soap bottle, faucet>", "B) Region 1 <room with the wardrobe, tv, ceiling fan> -> room with the pouffe, alarm clock, wardrobe -> room with the ironing board, clothes dryer, washing machine -> Region 2 <room with the ceiling lamp, soap bottle, faucet>", "C) Region 1 <room with the wardrobe, tv, ceiling fan> -> room with the pouffe, alarm clock, wardrobe -> Region 2 <room with the ceiling lamp, soap bottle, faucet>", "D) Region 1 <room with the wardrobe, tv, ceiling fan> -> room with the ironing board, clothes dryer, washing machine -> room with the pouffe, alarm clock, wardrobe -> Region 2 <room with the ceiling lamp, soap bottle, faucet>"], "answer": "C) Region 1 <room with the wardrobe, tv, ceiling fan> -> room with the pouffe, alarm clock, wardrobe -> Region 2 <room with the ceiling lamp, soap bottle, faucet>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the pouffe, alarm clock, wardrobe> to Region 2 <room with the pouffe, alarm clock, wardrobe>?", "options": ["A) Region 1 <room with the pouffe, alarm clock, wardrobe> -> room with the wardrobe, tv, ceiling fan -> room with the ceiling lamp, soap bottle, faucet -> Region 2 <room with the pouffe, alarm clock, wardrobe>", "B) Region 1 <room with the pouffe, alarm clock, wardrobe> -> room with the ceiling lamp, soap bottle, faucet -> Region 2 <room with the pouffe, alarm clock, wardrobe>", "C) Region 1 <room with the pouffe, alarm clock, wardrobe> -> room with the wardrobe, tv, ceiling fan -> Region 2 <room with the pouffe, alarm clock, wardrobe>", "D) Region 1 <room with the pouffe, alarm clock, wardrobe> -> Region 2 <room with the pouffe, alarm clock, wardrobe>"], "answer": "B) Region 1 <room with the pouffe, alarm clock, wardrobe> -> room with the ceiling lamp, soap bottle, faucet -> Region 2 <room with the pouffe, alarm clock, wardrobe>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, tv, ceiling fan> to Region 2 <room with the pouffe, alarm clock, wardrobe>?", "options": ["A) Region 1 <room with the wardrobe, tv, ceiling fan> -> room with the pouffe, alarm clock, wardrobe -> room with the ceiling lamp, soap bottle, faucet -> Region 2 <room with the pouffe, alarm clock, wardrobe>", "B) Region 1 <room with the wardrobe, tv, ceiling fan> -> room with the pouffe, alarm clock, wardrobe -> Region 2 <room with the pouffe, alarm clock, wardrobe>", "C) Region 1 <room with the wardrobe, tv, ceiling fan> -> Region 2 <room with the pouffe, alarm clock, wardrobe>", "D) Region 1 <room with the wardrobe, tv, ceiling fan> -> room with the ceiling lamp, soap bottle, faucet -> room with the pouffe, alarm clock, wardrobe -> Region 2 <room with the pouffe, alarm clock, wardrobe>"], "answer": "A) Region 1 <room with the wardrobe, tv, ceiling fan> -> room with the pouffe, alarm clock, wardrobe -> room with the ceiling lamp, soap bottle, faucet -> Region 2 <room with the pouffe, alarm clock, wardrobe>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the soap bottle, sink cabinet, trashcan> to Region 2 <room with the wardrobe, tv, bed>?", "options": ["A) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> room with the ceiling fan, telephone, alarm clock -> Region 2 <room with the wardrobe, tv, bed>", "B) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> room with the ceiling fan, telephone, alarm clock -> room with the tissue box, faucet, trashcan -> Region 2 <room with the wardrobe, tv, bed>", "C) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> Region 2 <room with the wardrobe, tv, bed>", "D) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> room with the tissue box, faucet, trashcan -> room with the ceiling fan, telephone, alarm clock -> Region 2 <room with the wardrobe, tv, bed>"], "answer": "A) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> room with the ceiling fan, telephone, alarm clock -> Region 2 <room with the wardrobe, tv, bed>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling fan, telephone, alarm clock> to Region 2 <room with the tissue box, faucet, trashcan>?", "options": ["A) Region 1 <room with the ceiling fan, telephone, alarm clock> -> room with the soap bottle, sink cabinet, trashcan -> Region 2 <room with the tissue box, faucet, trashcan>", "B) Region 1 <room with the ceiling fan, telephone, alarm clock> -> room with the wardrobe, tv, bed -> room with the soap bottle, sink cabinet, trashcan -> Region 2 <room with the tissue box, faucet, trashcan>", "C) Region 1 <room with the ceiling fan, telephone, alarm clock> -> room with the soap bottle, sink cabinet, trashcan -> room with the wardrobe, tv, bed -> Region 2 <room with the tissue box, faucet, trashcan>", "D) Region 1 <room with the ceiling fan, telephone, alarm clock> -> room with the wardrobe, tv, bed -> Region 2 <room with the tissue box, faucet, trashcan>"], "answer": "D) Region 1 <room with the ceiling fan, telephone, alarm clock> -> room with the wardrobe, tv, bed -> Region 2 <room with the tissue box, faucet, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the soap bottle, sink cabinet, trashcan> to Region 2 <room with the tissue box, faucet, trashcan>?", "options": ["A) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> Region 2 <room with the tissue box, faucet, trashcan>", "B) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> room with the ceiling fan, telephone, alarm clock -> Region 2 <room with the tissue box, faucet, trashcan>", "C) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> room with the ceiling fan, telephone, alarm clock -> room with the wardrobe, tv, bed -> Region 2 <room with the tissue box, faucet, trashcan>", "D) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> room with the wardrobe, tv, bed -> Region 2 <room with the tissue box, faucet, trashcan>"], "answer": "C) Region 1 <room with the soap bottle, sink cabinet, trashcan> -> room with the ceiling fan, telephone, alarm clock -> room with the wardrobe, tv, bed -> Region 2 <room with the tissue box, faucet, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route24/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the closet area for hanging clothes, wine rack, safe> to Region 2 <room with the carpet, sofa seat, telephone>?", "options": ["A) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> Region 2 <room with the carpet, sofa seat, telephone>", "B) None", "C) None", "D) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the shower door, hand soap, shower mat -> Region 2 <room with the carpet, sofa seat, telephone>"], "answer": "D) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the shower door, hand soap, shower mat -> Region 2 <room with the carpet, sofa seat, telephone>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route49/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route49/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route49/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, bowl, teapot> to Region 2 <room with the bowl of fruit, bowl, teapot>?", "options": ["A) None", "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the vase, decoration, lamp -> Region 2 <room with the bowl of fruit, bowl, teapot>", "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> Region 2 <room with the bowl of fruit, bowl, teapot>", "D) None"], "answer": "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the vase, decoration, lamp -> Region 2 <room with the bowl of fruit, bowl, teapot>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route50/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route50/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route50/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, pouffe, oven and stove> to Region 2 <room with the shower door, shower wall, bathtub>?", "options": ["A) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, ceiling lamp, mirror -> Region 2 <room with the shower door, shower wall, bathtub>", "B) None", "C) None", "D) None"], "answer": "A) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, ceiling lamp, mirror -> Region 2 <room with the shower door, shower wall, bathtub>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route51/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, pouffe, oven and stove> to Region 2 <room with the bedside lamp, led tv, sofa seat>?", "options": ["A) None", "B) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> Region 2 <room with the bedside lamp, led tv, sofa seat>", "C) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the bedside lamp, led tv, sofa seat>", "D) None"], "answer": "C) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the bedside lamp, led tv, sofa seat>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route52/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke alarm, door window, tv> to Region 2 <room with the smoke alarm, door window, tv>?", "options": ["A) None", "B) Region 1 <room with the smoke alarm, door window, tv> -> room with the patio chair, circular sofa -> Region 2 <room with the smoke alarm, door window, tv>", "C) Region 1 <room with the smoke alarm, door window, tv> -> Region 2 <room with the smoke alarm, door window, tv>", "D) None"], "answer": "B) Region 1 <room with the smoke alarm, door window, tv> -> room with the patio chair, circular sofa -> Region 2 <room with the smoke alarm, door window, tv>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route53/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route53/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, pouffe, oven and stove> to Region 2 <room with the smoke alarm, ceiling lamp, vase>?", "options": ["A) None", "B) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> Region 2 <room with the smoke alarm, ceiling lamp, vase>", "C) None", "D) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the alarm clock, led tv, ceiling fan -> Region 2 <room with the smoke alarm, ceiling lamp, vase>"], "answer": "D) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the alarm clock, led tv, ceiling fan -> Region 2 <room with the smoke alarm, ceiling lamp, vase>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route54/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route54/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route54/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, hand soap, shower mat> to Region 2 <room with the bowl of fruit, bowl, teapot>?", "options": ["A) Region 1 <room with the shower door, hand soap, shower mat> -> room with the door window, tv, ceiling fan -> Region 2 <room with the bowl of fruit, bowl, teapot>", "B) Region 1 <room with the shower door, hand soap, shower mat> -> Region 2 <room with the bowl of fruit, bowl, teapot>", "C) Region 1 <room with the shower door, hand soap, shower mat> -> room with the ironing board, clothes dryer, washing machine -> Region 2 <room with the bowl of fruit, bowl, teapot>", "D) Region 1 <room with the shower door, hand soap, shower mat> -> room with the ironing board, clothes dryer, washing machine -> room with the door window, tv, ceiling fan -> Region 2 <room with the bowl of fruit, bowl, teapot>"], "answer": "A) Region 1 <room with the shower door, hand soap, shower mat> -> room with the door window, tv, ceiling fan -> Region 2 <room with the bowl of fruit, bowl, teapot>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the door window, tv, ceiling fan> to Region 2 <room with the ironing board, clothes dryer, washing machine>?", "options": ["A) Region 1 <room with the door window, tv, ceiling fan> -> room with the shower door, hand soap, shower mat -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "B) Region 1 <room with the door window, tv, ceiling fan> -> room with the bowl of fruit, bowl, teapot -> room with the shower door, hand soap, shower mat -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "C) Region 1 <room with the door window, tv, ceiling fan> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "D) Region 1 <room with the door window, tv, ceiling fan> -> room with the shower door, hand soap, shower mat -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ironing board, clothes dryer, washing machine>"], "answer": "C) Region 1 <room with the door window, tv, ceiling fan> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, hand soap, shower mat> to Region 2 <room with the ironing board, clothes dryer, washing machine>?", "options": ["A) Region 1 <room with the shower door, hand soap, shower mat> -> room with the door window, tv, ceiling fan -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "B) Region 1 <room with the shower door, hand soap, shower mat> -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "C) Region 1 <room with the shower door, hand soap, shower mat> -> room with the door window, tv, ceiling fan -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "D) Region 1 <room with the shower door, hand soap, shower mat> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ironing board, clothes dryer, washing machine>"], "answer": "A) Region 1 <room with the shower door, hand soap, shower mat> -> room with the door window, tv, ceiling fan -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route55/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, shower door, liquid soap> to Region 2 <room with the bowl of fruit, faucet, bowl>?", "options": ["A) Region 1 <room with the bath faucet, shower door, liquid soap> -> room with the tv, sofa seat, door window -> room with the vase, lamp, decoration -> Region 2 <room with the bowl of fruit, faucet, bowl>", "B) Region 1 <room with the bath faucet, shower door, liquid soap> -> room with the vase, lamp, decoration -> Region 2 <room with the bowl of fruit, faucet, bowl>", "C) Region 1 <room with the bath faucet, shower door, liquid soap> -> Region 2 <room with the bowl of fruit, faucet, bowl>", "D) Region 1 <room with the bath faucet, shower door, liquid soap> -> room with the tv, sofa seat, door window -> Region 2 <room with the bowl of fruit, faucet, bowl>"], "answer": "D) Region 1 <room with the bath faucet, shower door, liquid soap> -> room with the tv, sofa seat, door window -> Region 2 <room with the bowl of fruit, faucet, bowl>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, sofa seat, door window> to Region 2 <room with the vase, lamp, decoration>?", "options": ["A) Region 1 <room with the tv, sofa seat, door window> -> room with the bowl of fruit, faucet, bowl -> room with the bath faucet, shower door, liquid soap -> Region 2 <room with the vase, lamp, decoration>", "B) Region 1 <room with the tv, sofa seat, door window> -> Region 2 <room with the vase, lamp, decoration>", "C) Region 1 <room with the tv, sofa seat, door window> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the vase, lamp, decoration>", "D) Region 1 <room with the tv, sofa seat, door window> -> room with the bath faucet, shower door, liquid soap -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the vase, lamp, decoration>"], "answer": "C) Region 1 <room with the tv, sofa seat, door window> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the vase, lamp, decoration>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath faucet, shower door, liquid soap> to Region 2 <room with the vase, lamp, decoration>?", "options": ["A) Region 1 <room with the bath faucet, shower door, liquid soap> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the vase, lamp, decoration>", "B) Region 1 <room with the bath faucet, shower door, liquid soap> -> room with the bowl of fruit, faucet, bowl -> room with the tv, sofa seat, door window -> Region 2 <room with the vase, lamp, decoration>", "C) Region 1 <room with the bath faucet, shower door, liquid soap> -> room with the tv, sofa seat, door window -> Region 2 <room with the vase, lamp, decoration>", "D) Region 1 <room with the bath faucet, shower door, liquid soap> -> room with the tv, sofa seat, door window -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the vase, lamp, decoration>"], "answer": "D) Region 1 <room with the bath faucet, shower door, liquid soap> -> room with the tv, sofa seat, door window -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the vase, lamp, decoration>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route56/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower mat, shower soap shelf, bath towel> to Region 2 <room with the smoke alarm, ceiling lamp, mirror>?", "options": ["A) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> Region 2 <room with the smoke alarm, ceiling lamp, mirror>", "B) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> room with the bed, bedside lamp, door window -> room with the sink cabinet, shower seat, shower door -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the smoke alarm, ceiling lamp, mirror>", "C) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> room with the bed, bedside lamp, door window -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the smoke alarm, ceiling lamp, mirror>", "D) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> room with the sink cabinet, shower seat, shower door -> Region 2 <room with the smoke alarm, ceiling lamp, mirror>"], "answer": "C) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> room with the bed, bedside lamp, door window -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the smoke alarm, ceiling lamp, mirror>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed, bedside lamp, door window> to Region 2 <room with the sink cabinet, shower seat, shower door>?", "options": ["A) Region 1 <room with the bed, bedside lamp, door window> -> room with the smoke alarm, ceiling lamp, mirror -> room with the shower mat, shower soap shelf, bath towel -> Region 2 <room with the sink cabinet, shower seat, shower door>", "B) Region 1 <room with the bed, bedside lamp, door window> -> room with the smoke alarm, ceiling lamp, mirror -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the sink cabinet, shower seat, shower door>", "C) Region 1 <room with the bed, bedside lamp, door window> -> room with the bowl of fruit, pouffe, oven and stove -> room with the smoke alarm, ceiling lamp, mirror -> Region 2 <room with the sink cabinet, shower seat, shower door>", "D) Region 1 <room with the bed, bedside lamp, door window> -> room with the smoke alarm, ceiling lamp, mirror -> room with the shower mat, shower soap shelf, bath towel -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the sink cabinet, shower seat, shower door>"], "answer": "C) Region 1 <room with the bed, bedside lamp, door window> -> room with the bowl of fruit, pouffe, oven and stove -> room with the smoke alarm, ceiling lamp, mirror -> Region 2 <room with the sink cabinet, shower seat, shower door>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower mat, shower soap shelf, bath towel> to Region 2 <room with the sink cabinet, shower seat, shower door>?", "options": ["A) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the sink cabinet, shower seat, shower door>", "B) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> room with the smoke alarm, ceiling lamp, mirror -> room with the bowl of fruit, pouffe, oven and stove -> room with the bed, bedside lamp, door window -> Region 2 <room with the sink cabinet, shower seat, shower door>", "C) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> room with the bed, bedside lamp, door window -> room with the bowl of fruit, pouffe, oven and stove -> room with the smoke alarm, ceiling lamp, mirror -> Region 2 <room with the sink cabinet, shower seat, shower door>", "D) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> room with the smoke alarm, ceiling lamp, mirror -> Region 2 <room with the sink cabinet, shower seat, shower door>"], "answer": "C) Region 1 <room with the shower mat, shower soap shelf, bath towel> -> room with the bed, bedside lamp, door window -> room with the bowl of fruit, pouffe, oven and stove -> room with the smoke alarm, ceiling lamp, mirror -> Region 2 <room with the sink cabinet, shower seat, shower door>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route59/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, liquid soap, shower mat> to Region 2 <room with the bowl of fruit, oven and stove, pouffe>?", "options": ["A) Region 1 <room with the shower door, liquid soap, shower mat> -> room with the ceiling fan, door window, bed -> Region 2 <room with the bowl of fruit, oven and stove, pouffe>", "B) Region 1 <room with the shower door, liquid soap, shower mat> -> Region 2 <room with the bowl of fruit, oven and stove, pouffe>", "C) Region 1 <room with the shower door, liquid soap, shower mat> -> room with the vase, decoration, ceiling lamp -> room with the ceiling fan, door window, bed -> Region 2 <room with the bowl of fruit, oven and stove, pouffe>", "D) Region 1 <room with the shower door, liquid soap, shower mat> -> room with the ceiling fan, door window, bed -> room with the vase, decoration, ceiling lamp -> Region 2 <room with the bowl of fruit, oven and stove, pouffe>"], "answer": "A) Region 1 <room with the shower door, liquid soap, shower mat> -> room with the ceiling fan, door window, bed -> Region 2 <room with the bowl of fruit, oven and stove, pouffe>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ceiling fan, door window, bed> to Region 2 <room with the vase, decoration, ceiling lamp>?", "options": ["A) Region 1 <room with the ceiling fan, door window, bed> -> room with the shower door, liquid soap, shower mat -> Region 2 <room with the vase, decoration, ceiling lamp>", "B) Region 1 <room with the ceiling fan, door window, bed> -> Region 2 <room with the vase, decoration, ceiling lamp>", "C) Region 1 <room with the ceiling fan, door window, bed> -> room with the shower door, liquid soap, shower mat -> room with the bowl of fruit, oven and stove, pouffe -> Region 2 <room with the vase, decoration, ceiling lamp>", "D) Region 1 <room with the ceiling fan, door window, bed> -> room with the bowl of fruit, oven and stove, pouffe -> Region 2 <room with the vase, decoration, ceiling lamp>"], "answer": "D) Region 1 <room with the ceiling fan, door window, bed> -> room with the bowl of fruit, oven and stove, pouffe -> Region 2 <room with the vase, decoration, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, liquid soap, shower mat> to Region 2 <room with the vase, decoration, ceiling lamp>?", "options": ["A) Region 1 <room with the shower door, liquid soap, shower mat> -> room with the ceiling fan, door window, bed -> room with the bowl of fruit, oven and stove, pouffe -> Region 2 <room with the vase, decoration, ceiling lamp>", "B) Region 1 <room with the shower door, liquid soap, shower mat> -> Region 2 <room with the vase, decoration, ceiling lamp>", "C) Region 1 <room with the shower door, liquid soap, shower mat> -> room with the ceiling fan, door window, bed -> Region 2 <room with the vase, decoration, ceiling lamp>", "D) Region 1 <room with the shower door, liquid soap, shower mat> -> room with the bowl of fruit, oven and stove, pouffe -> Region 2 <room with the vase, decoration, ceiling lamp>"], "answer": "A) Region 1 <room with the shower door, liquid soap, shower mat> -> room with the ceiling fan, door window, bed -> room with the bowl of fruit, oven and stove, pouffe -> Region 2 <room with the vase, decoration, ceiling lamp>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route60/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, hand soap, shower mat> to Region 2 <room with the patio chair, circular sofa>?", "options": ["A) Region 1 <room with the shower door, hand soap, shower mat> -> room with the vase, decoration -> Region 2 <room with the patio chair, circular sofa>", "B) Region 1 <room with the shower door, hand soap, shower mat> -> Region 2 <room with the patio chair, circular sofa>", "C) Region 1 <room with the shower door, hand soap, shower mat> -> room with the tv, smoke alarm, door window -> room with the vase, decoration -> Region 2 <room with the patio chair, circular sofa>", "D) Region 1 <room with the shower door, hand soap, shower mat> -> room with the tv, smoke alarm, door window -> Region 2 <room with the patio chair, circular sofa>"], "answer": "D) Region 1 <room with the shower door, hand soap, shower mat> -> room with the tv, smoke alarm, door window -> Region 2 <room with the patio chair, circular sofa>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, smoke alarm, door window> to Region 2 <room with the tv, smoke alarm, door window>?", "options": ["A) Region 1 <room with the tv, smoke alarm, door window> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>", "B) Region 1 <room with the tv, smoke alarm, door window> -> room with the shower door, hand soap, shower mat -> Region 2 <room with the tv, smoke alarm, door window>", "C) Region 1 <room with the tv, smoke alarm, door window> -> room with the shower door, hand soap, shower mat -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>", "D) Region 1 <room with the tv, smoke alarm, door window> -> Region 2 <room with the tv, smoke alarm, door window>"], "answer": "A) Region 1 <room with the tv, smoke alarm, door window> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, hand soap, shower mat> to Region 2 <room with the tv, smoke alarm, door window>?", "options": ["A) Region 1 <room with the shower door, hand soap, shower mat> -> room with the tv, smoke alarm, door window -> Region 2 <room with the tv, smoke alarm, door window>", "B) Region 1 <room with the shower door, hand soap, shower mat> -> room with the patio chair, circular sofa -> room with the tv, smoke alarm, door window -> Region 2 <room with the tv, smoke alarm, door window>", "C) Region 1 <room with the shower door, hand soap, shower mat> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>", "D) Region 1 <room with the shower door, hand soap, shower mat> -> room with the tv, smoke alarm, door window -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>"], "answer": "D) Region 1 <room with the shower door, hand soap, shower mat> -> room with the tv, smoke alarm, door window -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route61/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, liquid soap, hand soap> to Region 2 <room with the bowl of fruit, faucet, bowl>?", "options": ["A) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the led tv, sofa seat, bed -> Region 2 <room with the bowl of fruit, faucet, bowl>", "B) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the tv, ceiling fan, door window -> Region 2 <room with the bowl of fruit, faucet, bowl>", "C) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the tv, ceiling fan, door window -> room with the led tv, sofa seat, bed -> Region 2 <room with the bowl of fruit, faucet, bowl>", "D) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the led tv, sofa seat, bed -> room with the tv, ceiling fan, door window -> Region 2 <room with the bowl of fruit, faucet, bowl>"], "answer": "B) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the tv, ceiling fan, door window -> Region 2 <room with the bowl of fruit, faucet, bowl>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route62/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route62/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route62/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, ceiling fan, door window> to Region 2 <room with the led tv, sofa seat, bed>?", "options": ["A) Region 1 <room with the tv, ceiling fan, door window> -> room with the shower door, liquid soap, hand soap -> Region 2 <room with the led tv, sofa seat, bed>", "B) Region 1 <room with the tv, ceiling fan, door window> -> Region 2 <room with the led tv, sofa seat, bed>", "C) Region 1 <room with the tv, ceiling fan, door window> -> room with the shower door, liquid soap, hand soap -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the led tv, sofa seat, bed>", "D) Region 1 <room with the tv, ceiling fan, door window> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the led tv, sofa seat, bed>"], "answer": "D) Region 1 <room with the tv, ceiling fan, door window> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the led tv, sofa seat, bed>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route62/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route62/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route62/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, liquid soap, hand soap> to Region 2 <room with the led tv, sofa seat, bed>?", "options": ["A) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the bowl of fruit, faucet, bowl -> room with the tv, ceiling fan, door window -> Region 2 <room with the led tv, sofa seat, bed>", "B) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the led tv, sofa seat, bed>", "C) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the tv, ceiling fan, door window -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the led tv, sofa seat, bed>", "D) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the tv, ceiling fan, door window -> Region 2 <room with the led tv, sofa seat, bed>"], "answer": "C) Region 1 <room with the shower door, liquid soap, hand soap> -> room with the tv, ceiling fan, door window -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the led tv, sofa seat, bed>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route62/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route62/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route62/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, bowl, teapot> to Region 2 <room with the shower door, sink cabinet, shower wall>?", "options": ["A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, decoration -> room with the lamp, vase, table -> Region 2 <room with the shower door, sink cabinet, shower wall>", "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, decoration -> Region 2 <room with the shower door, sink cabinet, shower wall>", "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> Region 2 <room with the shower door, sink cabinet, shower wall>", "D) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the lamp, vase, table -> room with the smoke alarm, mirror, decoration -> Region 2 <room with the shower door, sink cabinet, shower wall>"], "answer": "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, decoration -> Region 2 <room with the shower door, sink cabinet, shower wall>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke alarm, mirror, decoration> to Region 2 <room with the smoke alarm, mirror, decoration>?", "options": ["A) Region 1 <room with the smoke alarm, mirror, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the smoke alarm, mirror, decoration>", "B) Region 1 <room with the smoke alarm, mirror, decoration> -> Region 2 <room with the smoke alarm, mirror, decoration>", "C) Region 1 <room with the smoke alarm, mirror, decoration> -> room with the shower door, sink cabinet, shower wall -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the smoke alarm, mirror, decoration>", "D) Region 1 <room with the smoke alarm, mirror, decoration> -> room with the shower door, sink cabinet, shower wall -> Region 2 <room with the smoke alarm, mirror, decoration>"], "answer": "D) Region 1 <room with the smoke alarm, mirror, decoration> -> room with the shower door, sink cabinet, shower wall -> Region 2 <room with the smoke alarm, mirror, decoration>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, bowl, teapot> to Region 2 <room with the smoke alarm, mirror, decoration>?", "options": ["A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, decoration -> Region 2 <room with the smoke alarm, mirror, decoration>", "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the shower door, sink cabinet, shower wall -> room with the smoke alarm, mirror, decoration -> Region 2 <room with the smoke alarm, mirror, decoration>", "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the shower door, sink cabinet, shower wall -> Region 2 <room with the smoke alarm, mirror, decoration>", "D) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, decoration -> room with the shower door, sink cabinet, shower wall -> Region 2 <room with the smoke alarm, mirror, decoration>"], "answer": "D) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, decoration -> room with the shower door, sink cabinet, shower wall -> Region 2 <room with the smoke alarm, mirror, decoration>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route64/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the pouffe, beam, fan> to Region 2 <room with the patio chair, circular sofa>?", "options": ["A) Region 1 <room with the pouffe, beam, fan> -> room with the tv, door window, bed -> room with the trashcan, tissue box, towel -> Region 2 <room with the patio chair, circular sofa>", "B) Region 1 <room with the pouffe, beam, fan> -> room with the tv, door window, bed -> Region 2 <room with the patio chair, circular sofa>", "C) Region 1 <room with the pouffe, beam, fan> -> Region 2 <room with the patio chair, circular sofa>", "D) Region 1 <room with the pouffe, beam, fan> -> room with the trashcan, tissue box, towel -> room with the tv, door window, bed -> Region 2 <room with the patio chair, circular sofa>"], "answer": "B) Region 1 <room with the pouffe, beam, fan> -> room with the tv, door window, bed -> Region 2 <room with the patio chair, circular sofa>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, door window, bed> to Region 2 <room with the tv, door window, bed>?", "options": ["A) Region 1 <room with the tv, door window, bed> -> room with the patio chair, circular sofa -> room with the pouffe, beam, fan -> Region 2 <room with the tv, door window, bed>", "B) Region 1 <room with the tv, door window, bed> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, bed>", "C) Region 1 <room with the tv, door window, bed> -> Region 2 <room with the tv, door window, bed>", "D) Region 1 <room with the tv, door window, bed> -> room with the pouffe, beam, fan -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, bed>"], "answer": "B) Region 1 <room with the tv, door window, bed> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, bed>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the pouffe, beam, fan> to Region 2 <room with the tv, door window, bed>?", "options": ["A) Region 1 <room with the pouffe, beam, fan> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, bed>", "B) Region 1 <room with the pouffe, beam, fan> -> room with the tv, door window, bed -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, bed>", "C) Region 1 <room with the pouffe, beam, fan> -> room with the tv, door window, bed -> Region 2 <room with the tv, door window, bed>", "D) Region 1 <room with the pouffe, beam, fan> -> Region 2 <room with the tv, door window, bed>"], "answer": "B) Region 1 <room with the pouffe, beam, fan> -> room with the tv, door window, bed -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, bed>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route65/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the closet area for hanging clothes, wine rack, safe> to Region 2 <room with the patio chair, circular sofa>?", "options": ["A) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the tv, smoke alarm, door window -> room with the led tv, bed, cabinet -> Region 2 <room with the patio chair, circular sofa>", "B) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the led tv, bed, cabinet -> Region 2 <room with the patio chair, circular sofa>", "C) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the tv, smoke alarm, door window -> Region 2 <room with the patio chair, circular sofa>", "D) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the led tv, bed, cabinet -> room with the tv, smoke alarm, door window -> Region 2 <room with the patio chair, circular sofa>"], "answer": "C) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the tv, smoke alarm, door window -> Region 2 <room with the patio chair, circular sofa>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, smoke alarm, door window> to Region 2 <room with the tv, smoke alarm, door window>?", "options": ["A) Region 1 <room with the tv, smoke alarm, door window> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>", "B) Region 1 <room with the tv, smoke alarm, door window> -> room with the closet area for hanging clothes, wine rack, safe -> Region 2 <room with the tv, smoke alarm, door window>", "C) Region 1 <room with the tv, smoke alarm, door window> -> room with the patio chair, circular sofa -> room with the closet area for hanging clothes, wine rack, safe -> Region 2 <room with the tv, smoke alarm, door window>", "D) Region 1 <room with the tv, smoke alarm, door window> -> Region 2 <room with the tv, smoke alarm, door window>"], "answer": "A) Region 1 <room with the tv, smoke alarm, door window> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the closet area for hanging clothes, wine rack, safe> to Region 2 <room with the tv, smoke alarm, door window>?", "options": ["A) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> Region 2 <room with the tv, smoke alarm, door window>", "B) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the tv, smoke alarm, door window -> Region 2 <room with the tv, smoke alarm, door window>", "C) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>", "D) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the tv, smoke alarm, door window -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>"], "answer": "D) Region 1 <room with the closet area for hanging clothes, wine rack, safe> -> room with the tv, smoke alarm, door window -> room with the patio chair, circular sofa -> Region 2 <room with the tv, smoke alarm, door window>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route71/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, decoration, lamp> to Region 2 <room with the ironing board, clothes dryer, washing machine>?", "options": ["A) None", "B) None", "C) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "D) Region 1 <room with the vase, decoration, lamp> -> Region 2 <room with the ironing board, clothes dryer, washing machine>"], "answer": "C) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route73/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route73/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route73/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, lamp, decoration> to Region 2 <room with the ceiling fan, smoke alarm, door window>?", "options": ["A) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ceiling fan, smoke alarm, door window>", "B) Region 1 <room with the vase, lamp, decoration> -> room with the towel bar, shower mat, bathtub -> Region 2 <room with the ceiling fan, smoke alarm, door window>", "C) Region 1 <room with the vase, lamp, decoration> -> room with the towel bar, shower mat, bathtub -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ceiling fan, smoke alarm, door window>", "D) Region 1 <room with the vase, lamp, decoration> -> Region 2 <room with the ceiling fan, smoke alarm, door window>"], "answer": "A) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ceiling fan, smoke alarm, door window>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route74/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route74/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route74/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, bowl, teapot> to Region 2 <room with the towel bar, shower mat, bathtub>?", "options": ["A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the ceiling fan, smoke alarm, door window -> Region 2 <room with the towel bar, shower mat, bathtub>", "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the vase, lamp, decoration -> Region 2 <room with the towel bar, shower mat, bathtub>", "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the ceiling fan, smoke alarm, door window -> room with the vase, lamp, decoration -> Region 2 <room with the towel bar, shower mat, bathtub>", "D) Region 1 <room with the bowl of fruit, bowl, teapot> -> Region 2 <room with the towel bar, shower mat, bathtub>"], "answer": "A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the ceiling fan, smoke alarm, door window -> Region 2 <room with the towel bar, shower mat, bathtub>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route74/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route74/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route74/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, lamp, decoration> to Region 2 <room with the towel bar, shower mat, bathtub>?", "options": ["A) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the towel bar, shower mat, bathtub>", "B) Region 1 <room with the vase, lamp, decoration> -> room with the ceiling fan, smoke alarm, door window -> Region 2 <room with the towel bar, shower mat, bathtub>", "C) Region 1 <room with the vase, lamp, decoration> -> Region 2 <room with the towel bar, shower mat, bathtub>", "D) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the ceiling fan, smoke alarm, door window -> Region 2 <room with the towel bar, shower mat, bathtub>"], "answer": "D) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the ceiling fan, smoke alarm, door window -> Region 2 <room with the towel bar, shower mat, bathtub>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route74/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route74/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route74/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, decoration, lamp> to Region 2 <room with the toilet, flower vase, trashcan>?", "options": ["A) Region 1 <room with the vase, decoration, lamp> -> Region 2 <room with the toilet, flower vase, trashcan>", "B) Region 1 <room with the vase, decoration, lamp> -> room with the ironing board, clothes dryer, washing machine -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the toilet, flower vase, trashcan>", "C) Region 1 <room with the vase, decoration, lamp> -> room with the ironing board, clothes dryer, washing machine -> Region 2 <room with the toilet, flower vase, trashcan>", "D) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the toilet, flower vase, trashcan>"], "answer": "D) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the toilet, flower vase, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, bowl, teapot> to Region 2 <room with the ironing board, clothes dryer, washing machine>?", "options": ["A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the toilet, flower vase, trashcan -> room with the vase, decoration, lamp -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the vase, decoration, lamp -> room with the toilet, flower vase, trashcan -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the toilet, flower vase, trashcan -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "D) Region 1 <room with the bowl of fruit, bowl, teapot> -> Region 2 <room with the ironing board, clothes dryer, washing machine>"], "answer": "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the toilet, flower vase, trashcan -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, decoration, lamp> to Region 2 <room with the ironing board, clothes dryer, washing machine>?", "options": ["A) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "B) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> room with the toilet, flower vase, trashcan -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "C) Region 1 <room with the vase, decoration, lamp> -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "D) Region 1 <room with the vase, decoration, lamp> -> room with the toilet, flower vase, trashcan -> Region 2 <room with the ironing board, clothes dryer, washing machine>"], "answer": "B) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> room with the toilet, flower vase, trashcan -> Region 2 <room with the ironing board, clothes dryer, washing machine>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route75/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, lamp, decoration> to Region 2 <room with the smoke alarm, mirror, vase>?", "options": ["A) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the smoke alarm, mirror, vase>", "B) Region 1 <room with the vase, lamp, decoration> -> room with the shower door, trashcan, bath faucet -> Region 2 <room with the smoke alarm, mirror, vase>", "C) Region 1 <room with the vase, lamp, decoration> -> Region 2 <room with the smoke alarm, mirror, vase>", "D) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the shower door, trashcan, bath faucet -> Region 2 <room with the smoke alarm, mirror, vase>"], "answer": "A) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the smoke alarm, mirror, vase>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, bowl, teapot> to Region 2 <room with the shower door, trashcan, bath faucet>?", "options": ["A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the vase, lamp, decoration -> Region 2 <room with the shower door, trashcan, bath faucet>", "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, vase -> room with the vase, lamp, decoration -> Region 2 <room with the shower door, trashcan, bath faucet>", "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, bath faucet>", "D) Region 1 <room with the bowl of fruit, bowl, teapot> -> Region 2 <room with the shower door, trashcan, bath faucet>"], "answer": "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, bath faucet>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, lamp, decoration> to Region 2 <room with the shower door, trashcan, bath faucet>?", "options": ["A) Region 1 <room with the vase, lamp, decoration> -> Region 2 <room with the shower door, trashcan, bath faucet>", "B) Region 1 <room with the vase, lamp, decoration> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, bath faucet>", "C) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, bath faucet>", "D) Region 1 <room with the vase, lamp, decoration> -> room with the smoke alarm, mirror, vase -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the shower door, trashcan, bath faucet>"], "answer": "C) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, bath faucet>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route76/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lamp, vase, decoration> to Region 2 <room with the smoke alarm, mirror, vase>?", "options": ["A) Region 1 <room with the lamp, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the smoke alarm, mirror, vase>", "B) Region 1 <room with the lamp, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the shower door, trashcan, shower seat -> Region 2 <room with the smoke alarm, mirror, vase>", "C) Region 1 <room with the lamp, vase, decoration> -> room with the shower door, trashcan, shower seat -> Region 2 <room with the smoke alarm, mirror, vase>", "D) Region 1 <room with the lamp, vase, decoration> -> Region 2 <room with the smoke alarm, mirror, vase>"], "answer": "A) Region 1 <room with the lamp, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the smoke alarm, mirror, vase>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, bowl, teapot> to Region 2 <room with the shower door, trashcan, shower seat>?", "options": ["A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, shower seat>", "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, vase -> room with the lamp, vase, decoration -> Region 2 <room with the shower door, trashcan, shower seat>", "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the lamp, vase, decoration -> Region 2 <room with the shower door, trashcan, shower seat>", "D) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the lamp, vase, decoration -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, shower seat>"], "answer": "A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, shower seat>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the lamp, vase, decoration> to Region 2 <room with the shower door, trashcan, shower seat>?", "options": ["A) Region 1 <room with the lamp, vase, decoration> -> room with the smoke alarm, mirror, vase -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the shower door, trashcan, shower seat>", "B) Region 1 <room with the lamp, vase, decoration> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, shower seat>", "C) Region 1 <room with the lamp, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the shower door, trashcan, shower seat>", "D) Region 1 <room with the lamp, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, shower seat>"], "answer": "D) Region 1 <room with the lamp, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, trashcan, shower seat>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route77/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, decoration, lamp> to Region 2 <room with the tv, door window, cabinet>?", "options": ["A) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the tv, door window, cabinet>", "B) Region 1 <room with the vase, decoration, lamp> -> room with the patio chair, circular sofa -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the tv, door window, cabinet>", "C) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, cabinet>", "D) Region 1 <room with the vase, decoration, lamp> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, cabinet>"], "answer": "A) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the tv, door window, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, bowl, teapot> to Region 2 <room with the patio chair, circular sofa>?", "options": ["A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the tv, door window, cabinet -> room with the vase, decoration, lamp -> Region 2 <room with the patio chair, circular sofa>", "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the tv, door window, cabinet -> Region 2 <room with the patio chair, circular sofa>", "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the vase, decoration, lamp -> room with the tv, door window, cabinet -> Region 2 <room with the patio chair, circular sofa>", "D) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the vase, decoration, lamp -> Region 2 <room with the patio chair, circular sofa>"], "answer": "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the tv, door window, cabinet -> Region 2 <room with the patio chair, circular sofa>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, decoration, lamp> to Region 2 <room with the patio chair, circular sofa>?", "options": ["A) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> room with the tv, door window, cabinet -> Region 2 <room with the patio chair, circular sofa>", "B) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the patio chair, circular sofa>", "C) Region 1 <room with the vase, decoration, lamp> -> Region 2 <room with the patio chair, circular sofa>", "D) Region 1 <room with the vase, decoration, lamp> -> room with the tv, door window, cabinet -> Region 2 <room with the patio chair, circular sofa>"], "answer": "A) Region 1 <room with the vase, decoration, lamp> -> room with the bowl of fruit, bowl, teapot -> room with the tv, door window, cabinet -> Region 2 <room with the patio chair, circular sofa>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route78/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, lamp, decoration> to Region 2 <room with the ceiling fan, alarm clock, led tv>?", "options": ["A) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the ceiling fan, alarm clock, led tv>", "B) Region 1 <room with the vase, lamp, decoration> -> room with the smoke alarm, vase, decoration -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the ceiling fan, alarm clock, led tv>", "C) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, faucet, bowl -> room with the smoke alarm, vase, decoration -> Region 2 <room with the ceiling fan, alarm clock, led tv>", "D) Region 1 <room with the vase, lamp, decoration> -> Region 2 <room with the ceiling fan, alarm clock, led tv>"], "answer": "A) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the ceiling fan, alarm clock, led tv>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, faucet, bowl> to Region 2 <room with the smoke alarm, vase, decoration>?", "options": ["A) Region 1 <room with the bowl of fruit, faucet, bowl> -> room with the vase, lamp, decoration -> Region 2 <room with the smoke alarm, vase, decoration>", "B) Region 1 <room with the bowl of fruit, faucet, bowl> -> room with the ceiling fan, alarm clock, led tv -> Region 2 <room with the smoke alarm, vase, decoration>", "C) Region 1 <room with the bowl of fruit, faucet, bowl> -> room with the ceiling fan, alarm clock, led tv -> room with the vase, lamp, decoration -> Region 2 <room with the smoke alarm, vase, decoration>", "D) Region 1 <room with the bowl of fruit, faucet, bowl> -> room with the vase, lamp, decoration -> room with the ceiling fan, alarm clock, led tv -> Region 2 <room with the smoke alarm, vase, decoration>"], "answer": "B) Region 1 <room with the bowl of fruit, faucet, bowl> -> room with the ceiling fan, alarm clock, led tv -> Region 2 <room with the smoke alarm, vase, decoration>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vase, lamp, decoration> to Region 2 <room with the smoke alarm, vase, decoration>?", "options": ["A) Region 1 <room with the vase, lamp, decoration> -> Region 2 <room with the smoke alarm, vase, decoration>", "B) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the smoke alarm, vase, decoration>", "C) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, faucet, bowl -> room with the ceiling fan, alarm clock, led tv -> Region 2 <room with the smoke alarm, vase, decoration>", "D) Region 1 <room with the vase, lamp, decoration> -> room with the ceiling fan, alarm clock, led tv -> Region 2 <room with the smoke alarm, vase, decoration>"], "answer": "C) Region 1 <room with the vase, lamp, decoration> -> room with the bowl of fruit, faucet, bowl -> room with the ceiling fan, alarm clock, led tv -> Region 2 <room with the smoke alarm, vase, decoration>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route79/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the pouffe, coffee machine, microwave> to Region 2 <room with the shower door, hand soap, shower wall>?", "options": ["A) Region 1 <room with the pouffe, coffee machine, microwave> -> room with the smoke alarm, mirror, ceiling lamp -> Region 2 <room with the shower door, hand soap, shower wall>", "B) None", "C) None", "D) None"], "answer": "A) Region 1 <room with the pouffe, coffee machine, microwave> -> room with the smoke alarm, mirror, ceiling lamp -> Region 2 <room with the shower door, hand soap, shower wall>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route81/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the case, trashcan> to Region 2 <room with the smoke alarm, mirror, vase>?", "options": ["A) Region 1 <room with the case, trashcan> -> Region 2 <room with the smoke alarm, mirror, vase>", "B) Region 1 <room with the case, trashcan> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the smoke alarm, mirror, vase>", "C) Region 1 <room with the case, trashcan> -> room with the bowl of fruit, faucet, bowl -> room with the shower door, hand soap, bathtub -> Region 2 <room with the smoke alarm, mirror, vase>", "D) Region 1 <room with the case, trashcan> -> room with the shower door, hand soap, bathtub -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the smoke alarm, mirror, vase>"], "answer": "B) Region 1 <room with the case, trashcan> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the smoke alarm, mirror, vase>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route82/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route82/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route82/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, faucet, bowl> to Region 2 <room with the shower door, hand soap, bathtub>?", "options": ["A) Region 1 <room with the bowl of fruit, faucet, bowl> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, hand soap, bathtub>", "B) Region 1 <room with the bowl of fruit, faucet, bowl> -> Region 2 <room with the shower door, hand soap, bathtub>", "C) Region 1 <room with the bowl of fruit, faucet, bowl> -> room with the smoke alarm, mirror, vase -> room with the case, trashcan -> Region 2 <room with the shower door, hand soap, bathtub>", "D) Region 1 <room with the bowl of fruit, faucet, bowl> -> room with the case, trashcan -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, hand soap, bathtub>"], "answer": "A) Region 1 <room with the bowl of fruit, faucet, bowl> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, hand soap, bathtub>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route82/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route82/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route82/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the case, trashcan> to Region 2 <room with the shower door, hand soap, bathtub>?", "options": ["A) Region 1 <room with the case, trashcan> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, hand soap, bathtub>", "B) Region 1 <room with the case, trashcan> -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the shower door, hand soap, bathtub>", "C) Region 1 <room with the case, trashcan> -> room with the bowl of fruit, faucet, bowl -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, hand soap, bathtub>", "D) Region 1 <room with the case, trashcan> -> room with the smoke alarm, mirror, vase -> room with the bowl of fruit, faucet, bowl -> Region 2 <room with the shower door, hand soap, bathtub>"], "answer": "C) Region 1 <room with the case, trashcan> -> room with the bowl of fruit, faucet, bowl -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, hand soap, bathtub>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route82/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route82/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route82/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, faucet, pouffe> to Region 2 <room with the smoke alarm, mirror, vase>?", "options": ["A) None", "B) None", "C) Region 1 <room with the bowl of fruit, faucet, pouffe> -> room with the led tv, ceiling fan, sofa seat -> Region 2 <room with the smoke alarm, mirror, vase>", "D) None"], "answer": "C) Region 1 <room with the bowl of fruit, faucet, pouffe> -> room with the led tv, ceiling fan, sofa seat -> Region 2 <room with the smoke alarm, mirror, vase>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route84/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route84/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route84/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the door window, bed, sofa seat> to Region 2 <room with the smoke alarm, decoration, mirror>?", "options": ["A) Region 1 <room with the door window, bed, sofa seat> -> room with the shower door, hand soap, sink cabinet -> Region 2 <room with the smoke alarm, decoration, mirror>", "B) Region 1 <room with the door window, bed, sofa seat> -> Region 2 <room with the smoke alarm, decoration, mirror>", "C) Region 1 <room with the door window, bed, sofa seat> -> room with the shower door, hand soap, sink cabinet -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the smoke alarm, decoration, mirror>", "D) Region 1 <room with the door window, bed, sofa seat> -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the smoke alarm, decoration, mirror>"], "answer": "D) Region 1 <room with the door window, bed, sofa seat> -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the smoke alarm, decoration, mirror>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, pouffe, oven and stove> to Region 2 <room with the shower door, hand soap, sink cabinet>?", "options": ["A) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the door window, bed, sofa seat -> Region 2 <room with the shower door, hand soap, sink cabinet>", "B) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, decoration, mirror -> Region 2 <room with the shower door, hand soap, sink cabinet>", "C) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the door window, bed, sofa seat -> room with the smoke alarm, decoration, mirror -> Region 2 <room with the shower door, hand soap, sink cabinet>", "D) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> Region 2 <room with the shower door, hand soap, sink cabinet>"], "answer": "B) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, decoration, mirror -> Region 2 <room with the shower door, hand soap, sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the door window, bed, sofa seat> to Region 2 <room with the shower door, hand soap, sink cabinet>?", "options": ["A) Region 1 <room with the door window, bed, sofa seat> -> room with the smoke alarm, decoration, mirror -> Region 2 <room with the shower door, hand soap, sink cabinet>", "B) Region 1 <room with the door window, bed, sofa seat> -> Region 2 <room with the shower door, hand soap, sink cabinet>", "C) Region 1 <room with the door window, bed, sofa seat> -> room with the bowl of fruit, pouffe, oven and stove -> room with the smoke alarm, decoration, mirror -> Region 2 <room with the shower door, hand soap, sink cabinet>", "D) Region 1 <room with the door window, bed, sofa seat> -> room with the smoke alarm, decoration, mirror -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the shower door, hand soap, sink cabinet>"], "answer": "C) Region 1 <room with the door window, bed, sofa seat> -> room with the bowl of fruit, pouffe, oven and stove -> room with the smoke alarm, decoration, mirror -> Region 2 <room with the shower door, hand soap, sink cabinet>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route86/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the door window, bed, ceiling fan> to Region 2 <room with the smoke alarm, vase, decoration>?", "options": ["A) Region 1 <room with the door window, bed, ceiling fan> -> Region 2 <room with the smoke alarm, vase, decoration>", "B) Region 1 <room with the door window, bed, ceiling fan> -> room with the alarm clock, led tv, bed -> Region 2 <room with the smoke alarm, vase, decoration>", "C) Region 1 <room with the door window, bed, ceiling fan> -> room with the bowl of fruit, pouffe, oven and stove -> room with the alarm clock, led tv, bed -> Region 2 <room with the smoke alarm, vase, decoration>", "D) Region 1 <room with the door window, bed, ceiling fan> -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the smoke alarm, vase, decoration>"], "answer": "D) Region 1 <room with the door window, bed, ceiling fan> -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the smoke alarm, vase, decoration>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, pouffe, oven and stove> to Region 2 <room with the alarm clock, led tv, bed>?", "options": ["A) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> Region 2 <room with the alarm clock, led tv, bed>", "B) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, vase, decoration -> room with the door window, bed, ceiling fan -> Region 2 <room with the alarm clock, led tv, bed>", "C) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the door window, bed, ceiling fan -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, bed>", "D) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, bed>"], "answer": "D) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, bed>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the door window, bed, ceiling fan> to Region 2 <room with the alarm clock, led tv, bed>?", "options": ["A) Region 1 <room with the door window, bed, ceiling fan> -> Region 2 <room with the alarm clock, led tv, bed>", "B) Region 1 <room with the door window, bed, ceiling fan> -> room with the smoke alarm, vase, decoration -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the alarm clock, led tv, bed>", "C) Region 1 <room with the door window, bed, ceiling fan> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, bed>", "D) Region 1 <room with the door window, bed, ceiling fan> -> room with the bowl of fruit, pouffe, oven and stove -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, bed>"], "answer": "D) Region 1 <room with the door window, bed, ceiling fan> -> room with the bowl of fruit, pouffe, oven and stove -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, bed>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route87/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the door window, bed, circular sofa> to Region 2 <room with the led tv, bed, ceiling fan>?", "options": ["A) Region 1 <room with the door window, bed, circular sofa> -> room with the smoke alarm, mirror, vase -> room with the bowl of fruit, faucet, pouffe -> Region 2 <room with the led tv, bed, ceiling fan>", "B) Region 1 <room with the door window, bed, circular sofa> -> room with the bowl of fruit, faucet, pouffe -> Region 2 <room with the led tv, bed, ceiling fan>", "C) Region 1 <room with the door window, bed, circular sofa> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the led tv, bed, ceiling fan>", "D) Region 1 <room with the door window, bed, circular sofa> -> Region 2 <room with the led tv, bed, ceiling fan>"], "answer": "B) Region 1 <room with the door window, bed, circular sofa> -> room with the bowl of fruit, faucet, pouffe -> Region 2 <room with the led tv, bed, ceiling fan>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, faucet, pouffe> to Region 2 <room with the smoke alarm, mirror, vase>?", "options": ["A) Region 1 <room with the bowl of fruit, faucet, pouffe> -> Region 2 <room with the smoke alarm, mirror, vase>", "B) Region 1 <room with the bowl of fruit, faucet, pouffe> -> room with the led tv, bed, ceiling fan -> Region 2 <room with the smoke alarm, mirror, vase>", "C) Region 1 <room with the bowl of fruit, faucet, pouffe> -> room with the led tv, bed, ceiling fan -> room with the door window, bed, circular sofa -> Region 2 <room with the smoke alarm, mirror, vase>", "D) Region 1 <room with the bowl of fruit, faucet, pouffe> -> room with the door window, bed, circular sofa -> room with the led tv, bed, ceiling fan -> Region 2 <room with the smoke alarm, mirror, vase>"], "answer": "B) Region 1 <room with the bowl of fruit, faucet, pouffe> -> room with the led tv, bed, ceiling fan -> Region 2 <room with the smoke alarm, mirror, vase>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the door window, bed, circular sofa> to Region 2 <room with the smoke alarm, mirror, vase>?", "options": ["A) Region 1 <room with the door window, bed, circular sofa> -> Region 2 <room with the smoke alarm, mirror, vase>", "B) Region 1 <room with the door window, bed, circular sofa> -> room with the led tv, bed, ceiling fan -> room with the bowl of fruit, faucet, pouffe -> Region 2 <room with the smoke alarm, mirror, vase>", "C) Region 1 <room with the door window, bed, circular sofa> -> room with the bowl of fruit, faucet, pouffe -> Region 2 <room with the smoke alarm, mirror, vase>", "D) Region 1 <room with the door window, bed, circular sofa> -> room with the bowl of fruit, faucet, pouffe -> room with the led tv, bed, ceiling fan -> Region 2 <room with the smoke alarm, mirror, vase>"], "answer": "D) Region 1 <room with the door window, bed, circular sofa> -> room with the bowl of fruit, faucet, pouffe -> room with the led tv, bed, ceiling fan -> Region 2 <room with the smoke alarm, mirror, vase>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route88/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, pouffe, oven and stove> to Region 2 <room with the shower door, sink cabinet, trashcan>?", "options": ["A) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, sink cabinet, trashcan>", "B) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> Region 2 <room with the shower door, sink cabinet, trashcan>", "C) None", "D) None"], "answer": "A) Region 1 <room with the bowl of fruit, pouffe, oven and stove> -> room with the smoke alarm, mirror, vase -> Region 2 <room with the shower door, sink cabinet, trashcan>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route89/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route89/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route89/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, flower vase> to Region 2 <room with the smoke alarm, vase, decoration>?", "options": ["A) Region 1 <room with the toilet, flower vase> -> room with the bowl of fruit, box with books, teapot -> room with the alarm clock, led tv, sofa seat -> Region 2 <room with the smoke alarm, vase, decoration>", "B) Region 1 <room with the toilet, flower vase> -> room with the bowl of fruit, box with books, teapot -> Region 2 <room with the smoke alarm, vase, decoration>", "C) Region 1 <room with the toilet, flower vase> -> Region 2 <room with the smoke alarm, vase, decoration>", "D) Region 1 <room with the toilet, flower vase> -> room with the alarm clock, led tv, sofa seat -> Region 2 <room with the smoke alarm, vase, decoration>"], "answer": "B) Region 1 <room with the toilet, flower vase> -> room with the bowl of fruit, box with books, teapot -> Region 2 <room with the smoke alarm, vase, decoration>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, box with books, teapot> to Region 2 <room with the alarm clock, led tv, sofa seat>?", "options": ["A) Region 1 <room with the bowl of fruit, box with books, teapot> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, sofa seat>", "B) Region 1 <room with the bowl of fruit, box with books, teapot> -> room with the smoke alarm, vase, decoration -> room with the toilet, flower vase -> Region 2 <room with the alarm clock, led tv, sofa seat>", "C) Region 1 <room with the bowl of fruit, box with books, teapot> -> room with the toilet, flower vase -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, sofa seat>", "D) Region 1 <room with the bowl of fruit, box with books, teapot> -> Region 2 <room with the alarm clock, led tv, sofa seat>"], "answer": "A) Region 1 <room with the bowl of fruit, box with books, teapot> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, sofa seat>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, flower vase> to Region 2 <room with the alarm clock, led tv, sofa seat>?", "options": ["A) Region 1 <room with the toilet, flower vase> -> room with the bowl of fruit, box with books, teapot -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, sofa seat>", "B) Region 1 <room with the toilet, flower vase> -> Region 2 <room with the alarm clock, led tv, sofa seat>", "C) Region 1 <room with the toilet, flower vase> -> room with the bowl of fruit, box with books, teapot -> Region 2 <room with the alarm clock, led tv, sofa seat>", "D) Region 1 <room with the toilet, flower vase> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, sofa seat>"], "answer": "A) Region 1 <room with the toilet, flower vase> -> room with the bowl of fruit, box with books, teapot -> room with the smoke alarm, vase, decoration -> Region 2 <room with the alarm clock, led tv, sofa seat>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route90/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, faucet, pouffe> to Region 2 <room with the smoke alarm, vase, mirror>?", "options": ["A) Region 1 <room with the bowl of fruit, faucet, pouffe> -> Region 2 <room with the smoke alarm, vase, mirror>", "B) None", "C) None", "D) Region 1 <room with the bowl of fruit, faucet, pouffe> -> room with the ceiling fan, led tv, bed -> Region 2 <room with the smoke alarm, vase, mirror>"], "answer": "D) Region 1 <room with the bowl of fruit, faucet, pouffe> -> room with the ceiling fan, led tv, bed -> Region 2 <room with the smoke alarm, vase, mirror>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route92/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route92/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route92/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sink cabinet, shower door, towel bar> to Region 2 <room with the door window, tv, ceiling fan>?", "options": ["A) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the patio chair, circular sofa -> Region 2 <room with the door window, tv, ceiling fan>", "B) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the smoke alarm, vase, decoration -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the door window, tv, ceiling fan>", "C) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the smoke alarm, vase, decoration -> room with the patio chair, circular sofa -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the door window, tv, ceiling fan>", "D) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the bowl of fruit, bowl, teapot -> room with the patio chair, circular sofa -> room with the smoke alarm, vase, decoration -> Region 2 <room with the door window, tv, ceiling fan>"], "answer": "B) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the smoke alarm, vase, decoration -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the door window, tv, ceiling fan>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke alarm, vase, decoration> to Region 2 <room with the patio chair, circular sofa>?", "options": ["A) Region 1 <room with the smoke alarm, vase, decoration> -> room with the door window, tv, ceiling fan -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the patio chair, circular sofa>", "B) Region 1 <room with the smoke alarm, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the door window, tv, ceiling fan -> room with the sink cabinet, shower door, towel bar -> Region 2 <room with the patio chair, circular sofa>", "C) Region 1 <room with the smoke alarm, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the door window, tv, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "D) Region 1 <room with the smoke alarm, vase, decoration> -> room with the sink cabinet, shower door, towel bar -> room with the door window, tv, ceiling fan -> Region 2 <room with the patio chair, circular sofa>"], "answer": "C) Region 1 <room with the smoke alarm, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the door window, tv, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the sink cabinet, shower door, towel bar> to Region 2 <room with the patio chair, circular sofa>?", "options": ["A) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the door window, tv, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "B) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the smoke alarm, vase, decoration -> room with the bowl of fruit, bowl, teapot -> room with the door window, tv, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "C) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the bowl of fruit, bowl, teapot -> room with the door window, tv, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "D) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the bowl of fruit, bowl, teapot -> room with the smoke alarm, vase, decoration -> Region 2 <room with the patio chair, circular sofa>"], "answer": "B) Region 1 <room with the sink cabinet, shower door, towel bar> -> room with the smoke alarm, vase, decoration -> room with the bowl of fruit, bowl, teapot -> room with the door window, tv, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route93/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, towel bar, sink cabinet> to Region 2 <room with the ceiling fan, led tv, sofa seat>?", "options": ["A) Region 1 <room with the shower door, towel bar, sink cabinet> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the ceiling fan, led tv, sofa seat>", "B) Region 1 <room with the shower door, towel bar, sink cabinet> -> Region 2 <room with the ceiling fan, led tv, sofa seat>", "C) Region 1 <room with the shower door, towel bar, sink cabinet> -> room with the bowl of fruit, pouffe, oven and stove -> room with the smoke alarm, vase, decoration -> Region 2 <room with the ceiling fan, led tv, sofa seat>", "D) Region 1 <room with the shower door, towel bar, sink cabinet> -> room with the smoke alarm, vase, decoration -> room with the bowl of fruit, pouffe, oven and stove -> Region 2 <room with the ceiling fan, led tv, sofa seat>"], "answer": "A) Region 1 <room with the shower door, towel bar, sink cabinet> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the ceiling fan, led tv, sofa seat>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke alarm, vase, decoration> to Region 2 <room with the bowl of fruit, pouffe, oven and stove>?", "options": ["A) Region 1 <room with the smoke alarm, vase, decoration> -> room with the ceiling fan, led tv, sofa seat -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>", "B) Region 1 <room with the smoke alarm, vase, decoration> -> room with the shower door, towel bar, sink cabinet -> room with the ceiling fan, led tv, sofa seat -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>", "C) Region 1 <room with the smoke alarm, vase, decoration> -> room with the shower door, towel bar, sink cabinet -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>", "D) Region 1 <room with the smoke alarm, vase, decoration> -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>"], "answer": "A) Region 1 <room with the smoke alarm, vase, decoration> -> room with the ceiling fan, led tv, sofa seat -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower door, towel bar, sink cabinet> to Region 2 <room with the bowl of fruit, pouffe, oven and stove>?", "options": ["A) Region 1 <room with the shower door, towel bar, sink cabinet> -> room with the ceiling fan, led tv, sofa seat -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>", "B) Region 1 <room with the shower door, towel bar, sink cabinet> -> room with the smoke alarm, vase, decoration -> room with the ceiling fan, led tv, sofa seat -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>", "C) Region 1 <room with the shower door, towel bar, sink cabinet> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>", "D) Region 1 <room with the shower door, towel bar, sink cabinet> -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>"], "answer": "B) Region 1 <room with the shower door, towel bar, sink cabinet> -> room with the smoke alarm, vase, decoration -> room with the ceiling fan, led tv, sofa seat -> Region 2 <room with the bowl of fruit, pouffe, oven and stove>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route94/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke alarm, vase, decoration> to Region 2 <room with the tv, door window, ceiling fan>?", "options": ["A) Region 1 <room with the smoke alarm, vase, decoration> -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, ceiling fan>", "B) Region 1 <room with the smoke alarm, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the tv, door window, ceiling fan>", "C) Region 1 <room with the smoke alarm, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the patio chair, circular sofa -> Region 2 <room with the tv, door window, ceiling fan>", "D) Region 1 <room with the smoke alarm, vase, decoration> -> room with the patio chair, circular sofa -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the tv, door window, ceiling fan>"], "answer": "B) Region 1 <room with the smoke alarm, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the tv, door window, ceiling fan>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, bowl, teapot> to Region 2 <room with the patio chair, circular sofa>?", "options": ["A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the tv, door window, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "B) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, vase, decoration -> Region 2 <room with the patio chair, circular sofa>", "C) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the smoke alarm, vase, decoration -> room with the tv, door window, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "D) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the tv, door window, ceiling fan -> room with the smoke alarm, vase, decoration -> Region 2 <room with the patio chair, circular sofa>"], "answer": "A) Region 1 <room with the bowl of fruit, bowl, teapot> -> room with the tv, door window, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke alarm, vase, decoration> to Region 2 <room with the patio chair, circular sofa>?", "options": ["A) Region 1 <room with the smoke alarm, vase, decoration> -> Region 2 <room with the patio chair, circular sofa>", "B) Region 1 <room with the smoke alarm, vase, decoration> -> room with the tv, door window, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "C) Region 1 <room with the smoke alarm, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the patio chair, circular sofa>", "D) Region 1 <room with the smoke alarm, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the tv, door window, ceiling fan -> Region 2 <room with the patio chair, circular sofa>"], "answer": "D) Region 1 <room with the smoke alarm, vase, decoration> -> room with the bowl of fruit, bowl, teapot -> room with the tv, door window, ceiling fan -> Region 2 <room with the patio chair, circular sofa>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route95/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the patio chair, circular sofa> to Region 2 <room with the bowl of fruit, bowl, teapot>?", "options": ["A) Region 1 <room with the patio chair, circular sofa> -> room with the tv, ceiling fan, door window -> Region 2 <room with the bowl of fruit, bowl, teapot>", "B) Region 1 <room with the patio chair, circular sofa> -> room with the alarm clock, led tv, bed -> room with the tv, ceiling fan, door window -> Region 2 <room with the bowl of fruit, bowl, teapot>", "C) Region 1 <room with the patio chair, circular sofa> -> Region 2 <room with the bowl of fruit, bowl, teapot>", "D) Region 1 <room with the patio chair, circular sofa> -> room with the alarm clock, led tv, bed -> Region 2 <room with the bowl of fruit, bowl, teapot>"], "answer": "A) Region 1 <room with the patio chair, circular sofa> -> room with the tv, ceiling fan, door window -> Region 2 <room with the bowl of fruit, bowl, teapot>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, ceiling fan, door window> to Region 2 <room with the alarm clock, led tv, bed>?", "options": ["A) Region 1 <room with the tv, ceiling fan, door window> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the alarm clock, led tv, bed>", "B) Region 1 <room with the tv, ceiling fan, door window> -> room with the bowl of fruit, bowl, teapot -> room with the patio chair, circular sofa -> Region 2 <room with the alarm clock, led tv, bed>", "C) Region 1 <room with the tv, ceiling fan, door window> -> room with the patio chair, circular sofa -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the alarm clock, led tv, bed>", "D) Region 1 <room with the tv, ceiling fan, door window> -> room with the patio chair, circular sofa -> Region 2 <room with the alarm clock, led tv, bed>"], "answer": "A) Region 1 <room with the tv, ceiling fan, door window> -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the alarm clock, led tv, bed>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the patio chair, circular sofa> to Region 2 <room with the alarm clock, led tv, bed>?", "options": ["A) Region 1 <room with the patio chair, circular sofa> -> room with the tv, ceiling fan, door window -> Region 2 <room with the alarm clock, led tv, bed>", "B) Region 1 <room with the patio chair, circular sofa> -> Region 2 <room with the alarm clock, led tv, bed>", "C) Region 1 <room with the patio chair, circular sofa> -> room with the bowl of fruit, bowl, teapot -> room with the tv, ceiling fan, door window -> Region 2 <room with the alarm clock, led tv, bed>", "D) Region 1 <room with the patio chair, circular sofa> -> room with the tv, ceiling fan, door window -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the alarm clock, led tv, bed>"], "answer": "D) Region 1 <room with the patio chair, circular sofa> -> room with the tv, ceiling fan, door window -> room with the bowl of fruit, bowl, teapot -> Region 2 <room with the alarm clock, led tv, bed>", "videos": ["dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/mv2HUxq3B53/route96/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, laundry machine> to Region 2 <room with the bowl of fruit, dining table, pillar>?", "options": ["A) Region 1 <room with the bin, basket, laundry machine> -> Region 2 <room with the bowl of fruit, dining table, pillar>", "B) Region 1 <room with the bin, basket, laundry machine> -> room with the desk, bed -> Region 2 <room with the bowl of fruit, dining table, pillar>", "C) Region 1 <room with the bin, basket, laundry machine> -> room with the bed table, wardrobe, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "D) Region 1 <room with the bin, basket, laundry machine> -> room with the bed table, wardrobe, fire alarm -> room with the desk, bed -> Region 2 <room with the bowl of fruit, dining table, pillar>"], "answer": "C) Region 1 <room with the bin, basket, laundry machine> -> room with the bed table, wardrobe, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed table, wardrobe, fire alarm> to Region 2 <room with the bed table, wardrobe, fire alarm>?", "options": ["A) Region 1 <room with the bed table, wardrobe, fire alarm> -> room with the bin, basket, laundry machine -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the bed table, wardrobe, fire alarm>", "B) Region 1 <room with the bed table, wardrobe, fire alarm> -> room with the bowl of fruit, dining table, pillar -> room with the bin, basket, laundry machine -> Region 2 <room with the bed table, wardrobe, fire alarm>", "C) Region 1 <room with the bed table, wardrobe, fire alarm> -> room with the bin, basket, laundry machine -> Region 2 <room with the bed table, wardrobe, fire alarm>", "D) Region 1 <room with the bed table, wardrobe, fire alarm> -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the bed table, wardrobe, fire alarm>"], "answer": "D) Region 1 <room with the bed table, wardrobe, fire alarm> -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the bed table, wardrobe, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, laundry machine> to Region 2 <room with the bed table, wardrobe, fire alarm>?", "options": ["A) Region 1 <room with the bin, basket, laundry machine> -> room with the bed table, wardrobe, fire alarm -> Region 2 <room with the bed table, wardrobe, fire alarm>", "B) Region 1 <room with the bin, basket, laundry machine> -> Region 2 <room with the bed table, wardrobe, fire alarm>", "C) Region 1 <room with the bin, basket, laundry machine> -> room with the bed table, wardrobe, fire alarm -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the bed table, wardrobe, fire alarm>", "D) Region 1 <room with the bin, basket, laundry machine> -> room with the bowl of fruit, dining table, pillar -> room with the bed table, wardrobe, fire alarm -> Region 2 <room with the bed table, wardrobe, fire alarm>"], "answer": "C) Region 1 <room with the bin, basket, laundry machine> -> room with the bed table, wardrobe, fire alarm -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the bed table, wardrobe, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed table, curtain, bedside lamp> to Region 2 <room with the stair wall, carpet, decoration>?", "options": ["A) Region 1 <room with the bed table, curtain, bedside lamp> -> Region 2 <room with the stair wall, carpet, decoration>", "B) Region 1 <room with the bed table, curtain, bedside lamp> -> room with the stairs, shoe, cabinet -> Region 2 <room with the stair wall, carpet, decoration>", "C) Region 1 <room with the bed table, curtain, bedside lamp> -> room with the bin, basket, mat -> Region 2 <room with the stair wall, carpet, decoration>", "D) Region 1 <room with the bed table, curtain, bedside lamp> -> room with the bin, basket, mat -> room with the stairs, shoe, cabinet -> Region 2 <room with the stair wall, carpet, decoration>"], "answer": "C) Region 1 <room with the bed table, curtain, bedside lamp> -> room with the bin, basket, mat -> Region 2 <room with the stair wall, carpet, decoration>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, mat> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bin, basket, mat> -> room with the stair wall, carpet, decoration -> room with the bed table, curtain, bedside lamp -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bin, basket, mat> -> room with the stair wall, carpet, decoration -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bin, basket, mat> -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bin, basket, mat> -> room with the bed table, curtain, bedside lamp -> room with the stair wall, carpet, decoration -> Region 2 <room with the bin, basket, mat>"], "answer": "B) Region 1 <room with the bin, basket, mat> -> room with the stair wall, carpet, decoration -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed table, curtain, bedside lamp> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bed table, curtain, bedside lamp> -> room with the stair wall, carpet, decoration -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bed table, curtain, bedside lamp> -> room with the bin, basket, mat -> room with the stair wall, carpet, decoration -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bed table, curtain, bedside lamp> -> room with the stair wall, carpet, decoration -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bed table, curtain, bedside lamp> -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>"], "answer": "B) Region 1 <room with the bed table, curtain, bedside lamp> -> room with the bin, basket, mat -> room with the stair wall, carpet, decoration -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed table, bedside lamp, carpet> to Region 2 <room with the toilet, vent, shower pipe>?", "options": ["A) Region 1 <room with the bed table, bedside lamp, carpet> -> room with the stairs, shoe, decoration -> room with the bin, basket, mat -> Region 2 <room with the toilet, vent, shower pipe>", "B) Region 1 <room with the bed table, bedside lamp, carpet> -> room with the bin, basket, mat -> Region 2 <room with the toilet, vent, shower pipe>", "C) Region 1 <room with the bed table, bedside lamp, carpet> -> room with the stairs, shoe, decoration -> Region 2 <room with the toilet, vent, shower pipe>", "D) Region 1 <room with the bed table, bedside lamp, carpet> -> room with the bin, basket, mat -> room with the stairs, shoe, decoration -> Region 2 <room with the toilet, vent, shower pipe>"], "answer": "B) Region 1 <room with the bed table, bedside lamp, carpet> -> room with the bin, basket, mat -> Region 2 <room with the toilet, vent, shower pipe>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, mat> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bin, basket, mat> -> room with the toilet, vent, shower pipe -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bin, basket, mat> -> room with the toilet, vent, shower pipe -> room with the bed table, bedside lamp, carpet -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bin, basket, mat> -> room with the bed table, bedside lamp, carpet -> room with the toilet, vent, shower pipe -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bin, basket, mat> -> Region 2 <room with the bin, basket, mat>"], "answer": "A) Region 1 <room with the bin, basket, mat> -> room with the toilet, vent, shower pipe -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed table, bedside lamp, carpet> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bed table, bedside lamp, carpet> -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bed table, bedside lamp, carpet> -> room with the bin, basket, mat -> room with the toilet, vent, shower pipe -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bed table, bedside lamp, carpet> -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bed table, bedside lamp, carpet> -> room with the toilet, vent, shower pipe -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>"], "answer": "B) Region 1 <room with the bed table, bedside lamp, carpet> -> room with the bin, basket, mat -> room with the toilet, vent, shower pipe -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dining table, pillar, dining chair> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the dining table, pillar, dining chair> -> room with the stair, stair handle, wall lamp -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the dining table, pillar, dining chair> -> room with the stair, stair handle, wall lamp -> room with the bed table, fire alarm, bedside lamp -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the dining table, pillar, dining chair> -> room with the bed table, fire alarm, bedside lamp -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the dining table, pillar, dining chair> -> room with the bed table, fire alarm, bedside lamp -> room with the stair, stair handle, wall lamp -> Region 2 <room with the bin, basket, mat>"], "answer": "C) Region 1 <room with the dining table, pillar, dining chair> -> room with the bed table, fire alarm, bedside lamp -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed table, fire alarm, bedside lamp> to Region 2 <room with the stair, stair handle, wall lamp>?", "options": ["A) Region 1 <room with the bed table, fire alarm, bedside lamp> -> room with the dining table, pillar, dining chair -> room with the bin, basket, mat -> Region 2 <room with the stair, stair handle, wall lamp>", "B) Region 1 <room with the bed table, fire alarm, bedside lamp> -> room with the bin, basket, mat -> Region 2 <room with the stair, stair handle, wall lamp>", "C) Region 1 <room with the bed table, fire alarm, bedside lamp> -> Region 2 <room with the stair, stair handle, wall lamp>", "D) Region 1 <room with the bed table, fire alarm, bedside lamp> -> room with the bin, basket, mat -> room with the dining table, pillar, dining chair -> Region 2 <room with the stair, stair handle, wall lamp>"], "answer": "B) Region 1 <room with the bed table, fire alarm, bedside lamp> -> room with the bin, basket, mat -> Region 2 <room with the stair, stair handle, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dining table, pillar, dining chair> to Region 2 <room with the stair, stair handle, wall lamp>?", "options": ["A) Region 1 <room with the dining table, pillar, dining chair> -> Region 2 <room with the stair, stair handle, wall lamp>", "B) Region 1 <room with the dining table, pillar, dining chair> -> room with the bin, basket, mat -> room with the bed table, fire alarm, bedside lamp -> Region 2 <room with the stair, stair handle, wall lamp>", "C) Region 1 <room with the dining table, pillar, dining chair> -> room with the bed table, fire alarm, bedside lamp -> room with the bin, basket, mat -> Region 2 <room with the stair, stair handle, wall lamp>", "D) Region 1 <room with the dining table, pillar, dining chair> -> room with the bin, basket, mat -> Region 2 <room with the stair, stair handle, wall lamp>"], "answer": "C) Region 1 <room with the dining table, pillar, dining chair> -> room with the bed table, fire alarm, bedside lamp -> room with the bin, basket, mat -> Region 2 <room with the stair, stair handle, wall lamp>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route12/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dining table, pillar, dining chair> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the dining table, pillar, dining chair> -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the dining table, pillar, dining chair> -> room with the wardrobe, bed table, bedside lamp -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the dining table, pillar, dining chair> -> room with the vent, bathroom cabinet, mirror -> room with the wardrobe, bed table, bedside lamp -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the dining table, pillar, dining chair> -> room with the vent, bathroom cabinet, mirror -> Region 2 <room with the bin, basket, mat>"], "answer": "B) Region 1 <room with the dining table, pillar, dining chair> -> room with the wardrobe, bed table, bedside lamp -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wardrobe, bed table, bedside lamp> to Region 2 <room with the vent, bathroom cabinet, mirror>?", "options": ["A) Region 1 <room with the wardrobe, bed table, bedside lamp> -> room with the dining table, pillar, dining chair -> room with the bin, basket, mat -> Region 2 <room with the vent, bathroom cabinet, mirror>", "B) Region 1 <room with the wardrobe, bed table, bedside lamp> -> room with the bin, basket, mat -> Region 2 <room with the vent, bathroom cabinet, mirror>", "C) Region 1 <room with the wardrobe, bed table, bedside lamp> -> Region 2 <room with the vent, bathroom cabinet, mirror>", "D) Region 1 <room with the wardrobe, bed table, bedside lamp> -> room with the dining table, pillar, dining chair -> Region 2 <room with the vent, bathroom cabinet, mirror>"], "answer": "B) Region 1 <room with the wardrobe, bed table, bedside lamp> -> room with the bin, basket, mat -> Region 2 <room with the vent, bathroom cabinet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dining table, pillar, dining chair> to Region 2 <room with the vent, bathroom cabinet, mirror>?", "options": ["A) Region 1 <room with the dining table, pillar, dining chair> -> room with the bin, basket, mat -> room with the wardrobe, bed table, bedside lamp -> Region 2 <room with the vent, bathroom cabinet, mirror>", "B) Region 1 <room with the dining table, pillar, dining chair> -> Region 2 <room with the vent, bathroom cabinet, mirror>", "C) Region 1 <room with the dining table, pillar, dining chair> -> room with the wardrobe, bed table, bedside lamp -> room with the bin, basket, mat -> Region 2 <room with the vent, bathroom cabinet, mirror>", "D) Region 1 <room with the dining table, pillar, dining chair> -> room with the wardrobe, bed table, bedside lamp -> Region 2 <room with the vent, bathroom cabinet, mirror>"], "answer": "C) Region 1 <room with the dining table, pillar, dining chair> -> room with the wardrobe, bed table, bedside lamp -> room with the bin, basket, mat -> Region 2 <room with the vent, bathroom cabinet, mirror>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stair wall, stair handle, stair> to Region 2 <room with the step, toilet, vent>?", "options": ["A) Region 1 <room with the stair wall, stair handle, stair> -> room with the bin, basket, mat -> room with the bathroom cabinet, shower wall -> Region 2 <room with the step, toilet, vent>", "B) Region 1 <room with the stair wall, stair handle, stair> -> Region 2 <room with the step, toilet, vent>", "C) Region 1 <room with the stair wall, stair handle, stair> -> room with the bin, basket, mat -> Region 2 <room with the step, toilet, vent>", "D) Region 1 <room with the stair wall, stair handle, stair> -> room with the bathroom cabinet, shower wall -> room with the bin, basket, mat -> Region 2 <room with the step, toilet, vent>"], "answer": "C) Region 1 <room with the stair wall, stair handle, stair> -> room with the bin, basket, mat -> Region 2 <room with the step, toilet, vent>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, mat> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bin, basket, mat> -> room with the stair wall, stair handle, stair -> room with the step, toilet, vent -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bin, basket, mat> -> room with the step, toilet, vent -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bin, basket, mat> -> room with the step, toilet, vent -> room with the stair wall, stair handle, stair -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bin, basket, mat> -> Region 2 <room with the bin, basket, mat>"], "answer": "B) Region 1 <room with the bin, basket, mat> -> room with the step, toilet, vent -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stair wall, stair handle, stair> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the stair wall, stair handle, stair> -> room with the bin, basket, mat -> room with the step, toilet, vent -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the stair wall, stair handle, stair> -> room with the step, toilet, vent -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the stair wall, stair handle, stair> -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the stair wall, stair handle, stair> -> room with the step, toilet, vent -> Region 2 <room with the bin, basket, mat>"], "answer": "A) Region 1 <room with the stair wall, stair handle, stair> -> room with the bin, basket, mat -> room with the step, toilet, vent -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route14/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, bedside lamp, dresser> to Region 2 <room with the bed table, bedside lamp, bed>?", "options": ["A) Region 1 <room with the curtain rod, bedside lamp, dresser> -> room with the bin, basket, fire alarm -> Region 2 <room with the bed table, bedside lamp, bed>", "B) Region 1 <room with the curtain rod, bedside lamp, dresser> -> room with the bin, basket, fire alarm -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the bed table, bedside lamp, bed>", "C) Region 1 <room with the curtain rod, bedside lamp, dresser> -> Region 2 <room with the bed table, bedside lamp, bed>", "D) Region 1 <room with the curtain rod, bedside lamp, dresser> -> room with the bowl of fruit, dining table, pillar -> room with the bin, basket, fire alarm -> Region 2 <room with the bed table, bedside lamp, bed>"], "answer": "A) Region 1 <room with the curtain rod, bedside lamp, dresser> -> room with the bin, basket, fire alarm -> Region 2 <room with the bed table, bedside lamp, bed>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, fire alarm> to Region 2 <room with the bowl of fruit, dining table, pillar>?", "options": ["A) Region 1 <room with the bin, basket, fire alarm> -> room with the curtain rod, bedside lamp, dresser -> Region 2 <room with the bowl of fruit, dining table, pillar>", "B) Region 1 <room with the bin, basket, fire alarm> -> room with the curtain rod, bedside lamp, dresser -> room with the bed table, bedside lamp, bed -> Region 2 <room with the bowl of fruit, dining table, pillar>", "C) Region 1 <room with the bin, basket, fire alarm> -> Region 2 <room with the bowl of fruit, dining table, pillar>", "D) Region 1 <room with the bin, basket, fire alarm> -> room with the bed table, bedside lamp, bed -> Region 2 <room with the bowl of fruit, dining table, pillar>"], "answer": "D) Region 1 <room with the bin, basket, fire alarm> -> room with the bed table, bedside lamp, bed -> Region 2 <room with the bowl of fruit, dining table, pillar>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, bedside lamp, dresser> to Region 2 <room with the bowl of fruit, dining table, pillar>?", "options": ["A) Region 1 <room with the curtain rod, bedside lamp, dresser> -> room with the bed table, bedside lamp, bed -> room with the bin, basket, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "B) Region 1 <room with the curtain rod, bedside lamp, dresser> -> Region 2 <room with the bowl of fruit, dining table, pillar>", "C) Region 1 <room with the curtain rod, bedside lamp, dresser> -> room with the bin, basket, fire alarm -> room with the bed table, bedside lamp, bed -> Region 2 <room with the bowl of fruit, dining table, pillar>", "D) Region 1 <room with the curtain rod, bedside lamp, dresser> -> room with the bin, basket, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>"], "answer": "C) Region 1 <room with the curtain rod, bedside lamp, dresser> -> room with the bin, basket, fire alarm -> room with the bed table, bedside lamp, bed -> Region 2 <room with the bowl of fruit, dining table, pillar>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, bowl, bed table> to Region 2 <room with the stair handle, stair, carpet>?", "options": ["A) Region 1 <room with the curtain rod, bowl, bed table> -> room with the wardrobe, bed table, carpet -> Region 2 <room with the stair handle, stair, carpet>", "B) Region 1 <room with the curtain rod, bowl, bed table> -> Region 2 <room with the stair handle, stair, carpet>", "C) Region 1 <room with the curtain rod, bowl, bed table> -> room with the bin, basket, mat -> Region 2 <room with the stair handle, stair, carpet>", "D) Region 1 <room with the curtain rod, bowl, bed table> -> room with the bin, basket, mat -> room with the wardrobe, bed table, carpet -> Region 2 <room with the stair handle, stair, carpet>"], "answer": "C) Region 1 <room with the curtain rod, bowl, bed table> -> room with the bin, basket, mat -> Region 2 <room with the stair handle, stair, carpet>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, mat> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bin, basket, mat> -> room with the curtain rod, bowl, bed table -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bin, basket, mat> -> room with the stair handle, stair, carpet -> room with the curtain rod, bowl, bed table -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bin, basket, mat> -> room with the stair handle, stair, carpet -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bin, basket, mat> -> room with the curtain rod, bowl, bed table -> room with the stair handle, stair, carpet -> Region 2 <room with the bin, basket, mat>"], "answer": "C) Region 1 <room with the bin, basket, mat> -> room with the stair handle, stair, carpet -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, bowl, bed table> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the curtain rod, bowl, bed table> -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the curtain rod, bowl, bed table> -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the curtain rod, bowl, bed table> -> room with the bin, basket, mat -> room with the stair handle, stair, carpet -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the curtain rod, bowl, bed table> -> room with the stair handle, stair, carpet -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>"], "answer": "C) Region 1 <room with the curtain rod, bowl, bed table> -> room with the bin, basket, mat -> room with the stair handle, stair, carpet -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, lamp, bowl> to Region 2 <room with the step, vent, shower pipe>?", "options": ["A) Region 1 <room with the curtain rod, lamp, bowl> -> room with the bin, basket, mat -> room with the dining table, pillar, beam -> Region 2 <room with the step, vent, shower pipe>", "B) Region 1 <room with the curtain rod, lamp, bowl> -> room with the bin, basket, mat -> Region 2 <room with the step, vent, shower pipe>", "C) Region 1 <room with the curtain rod, lamp, bowl> -> room with the dining table, pillar, beam -> Region 2 <room with the step, vent, shower pipe>", "D) Region 1 <room with the curtain rod, lamp, bowl> -> Region 2 <room with the step, vent, shower pipe>"], "answer": "B) Region 1 <room with the curtain rod, lamp, bowl> -> room with the bin, basket, mat -> Region 2 <room with the step, vent, shower pipe>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, mat> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bin, basket, mat> -> room with the step, vent, shower pipe -> room with the curtain rod, lamp, bowl -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bin, basket, mat> -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bin, basket, mat> -> room with the curtain rod, lamp, bowl -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bin, basket, mat> -> room with the step, vent, shower pipe -> Region 2 <room with the bin, basket, mat>"], "answer": "D) Region 1 <room with the bin, basket, mat> -> room with the step, vent, shower pipe -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, lamp, bowl> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the curtain rod, lamp, bowl> -> room with the step, vent, shower pipe -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the curtain rod, lamp, bowl> -> room with the step, vent, shower pipe -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the curtain rod, lamp, bowl> -> room with the bin, basket, mat -> room with the step, vent, shower pipe -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the curtain rod, lamp, bowl> -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>"], "answer": "C) Region 1 <room with the curtain rod, lamp, bowl> -> room with the bin, basket, mat -> room with the step, vent, shower pipe -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub, shower curtain, bath wall> to Region 2 <room with the wardrobe, bed table, fire alarm>?", "options": ["A) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> Region 2 <room with the wardrobe, bed table, fire alarm>", "B) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the wardrobe, bed table, fire alarm>", "C) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the bowl of fruit, dining table, pillar -> room with the laundry machine, mat, fire alarm -> Region 2 <room with the wardrobe, bed table, fire alarm>", "D) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the wardrobe, bed table, fire alarm>"], "answer": "A) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> Region 2 <room with the wardrobe, bed table, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the laundry machine, mat, fire alarm> to Region 2 <room with the bowl of fruit, dining table, pillar>?", "options": ["A) Region 1 <room with the laundry machine, mat, fire alarm> -> Region 2 <room with the bowl of fruit, dining table, pillar>", "B) Region 1 <room with the laundry machine, mat, fire alarm> -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "C) Region 1 <room with the laundry machine, mat, fire alarm> -> room with the bathtub, shower curtain, bath wall -> Region 2 <room with the bowl of fruit, dining table, pillar>", "D) Region 1 <room with the laundry machine, mat, fire alarm> -> room with the bathtub, shower curtain, bath wall -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>"], "answer": "B) Region 1 <room with the laundry machine, mat, fire alarm> -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub, shower curtain, bath wall> to Region 2 <room with the bowl of fruit, dining table, pillar>?", "options": ["A) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "B) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "C) Region 1 <room with the bathtub, shower curtain, bath wall> -> Region 2 <room with the bowl of fruit, dining table, pillar>", "D) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>"], "answer": "D) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub, shower curtain, bath wall> to Region 2 <room with the wardrobe, bed table, fire alarm>?", "options": ["A) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the wardrobe, bed table, fire alarm>", "B) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the bowl of fruit, dining table, pillar -> room with the laundry machine, mat, fire alarm -> Region 2 <room with the wardrobe, bed table, fire alarm>", "C) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> Region 2 <room with the wardrobe, bed table, fire alarm>", "D) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> room with the bowl of fruit, dining table, pillar -> Region 2 <room with the wardrobe, bed table, fire alarm>"], "answer": "C) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> Region 2 <room with the wardrobe, bed table, fire alarm>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the laundry machine, mat, fire alarm> to Region 2 <room with the bowl of fruit, dining table, pillar>?", "options": ["A) Region 1 <room with the laundry machine, mat, fire alarm> -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "B) Region 1 <room with the laundry machine, mat, fire alarm> -> Region 2 <room with the bowl of fruit, dining table, pillar>", "C) Region 1 <room with the laundry machine, mat, fire alarm> -> room with the wardrobe, bed table, fire alarm -> room with the bathtub, shower curtain, bath wall -> Region 2 <room with the bowl of fruit, dining table, pillar>", "D) Region 1 <room with the laundry machine, mat, fire alarm> -> room with the bathtub, shower curtain, bath wall -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>"], "answer": "A) Region 1 <room with the laundry machine, mat, fire alarm> -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub, shower curtain, bath wall> to Region 2 <room with the bowl of fruit, dining table, pillar>?", "options": ["A) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "B) Region 1 <room with the bathtub, shower curtain, bath wall> -> Region 2 <room with the bowl of fruit, dining table, pillar>", "C) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the wardrobe, bed table, fire alarm -> room with the laundry machine, mat, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "D) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>"], "answer": "D) Region 1 <room with the bathtub, shower curtain, bath wall> -> room with the laundry machine, mat, fire alarm -> room with the wardrobe, bed table, fire alarm -> Region 2 <room with the bowl of fruit, dining table, pillar>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route7/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom shelf, bathtub, shower curtain> to Region 2 <room with the stair wall, stair handle, stair>?", "options": ["A) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> room with the stairs railing, stair, cabinet -> Region 2 <room with the stair wall, stair handle, stair>", "B) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> Region 2 <room with the stair wall, stair handle, stair>", "C) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> Region 2 <room with the stair wall, stair handle, stair>", "D) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the stairs railing, stair, cabinet -> Region 2 <room with the stair wall, stair handle, stair>"], "answer": "B) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> Region 2 <room with the stair wall, stair handle, stair>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, mat> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bin, basket, mat> -> room with the stair wall, stair handle, stair -> room with the bathroom shelf, bathtub, shower curtain -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bin, basket, mat> -> room with the bathroom shelf, bathtub, shower curtain -> room with the stair wall, stair handle, stair -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bin, basket, mat> -> room with the stair wall, stair handle, stair -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bin, basket, mat> -> Region 2 <room with the bin, basket, mat>"], "answer": "C) Region 1 <room with the bin, basket, mat> -> room with the stair wall, stair handle, stair -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom shelf, bathtub, shower curtain> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the stair wall, stair handle, stair -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the stair wall, stair handle, stair -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> room with the stair wall, stair handle, stair -> Region 2 <room with the bin, basket, mat>"], "answer": "D) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> room with the stair wall, stair handle, stair -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom shelf, bathtub, shower curtain> to Region 2 <room with the step, toilet, shower pipe>?", "options": ["A) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> room with the stair handle, stair, wall panel -> Region 2 <room with the step, toilet, shower pipe>", "B) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> Region 2 <room with the step, toilet, shower pipe>", "C) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the stair handle, stair, wall panel -> Region 2 <room with the step, toilet, shower pipe>", "D) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> Region 2 <room with the step, toilet, shower pipe>"], "answer": "B) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> Region 2 <room with the step, toilet, shower pipe>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bin, basket, mat> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bin, basket, mat> -> room with the step, toilet, shower pipe -> room with the bathroom shelf, bathtub, shower curtain -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bin, basket, mat> -> room with the step, toilet, shower pipe -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bin, basket, mat> -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bin, basket, mat> -> room with the bathroom shelf, bathtub, shower curtain -> Region 2 <room with the bin, basket, mat>"], "answer": "B) Region 1 <room with the bin, basket, mat> -> room with the step, toilet, shower pipe -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom shelf, bathtub, shower curtain> to Region 2 <room with the bin, basket, mat>?", "options": ["A) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>", "B) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the step, toilet, shower pipe -> Region 2 <room with the bin, basket, mat>", "C) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> room with the step, toilet, shower pipe -> Region 2 <room with the bin, basket, mat>", "D) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the step, toilet, shower pipe -> room with the bin, basket, mat -> Region 2 <room with the bin, basket, mat>"], "answer": "C) Region 1 <room with the bathroom shelf, bathtub, shower curtain> -> room with the bin, basket, mat -> room with the step, toilet, shower pipe -> Region 2 <room with the bin, basket, mat>", "videos": ["dataset/habitat_data/route_plan/val/p53SfW6mjZe/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/p53SfW6mjZe/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed sheet, blanket, nightstand> to Region 2 <room with the bin, cuddly toy, bed>?", "options": ["A) Region 1 <room with the bed sheet, blanket, nightstand> -> room with the rack, curtain, shovel -> Region 2 <room with the bin, cuddly toy, bed>", "B) Region 1 <room with the bed sheet, blanket, nightstand> -> room with the fireplace wall, decorative plate, socket -> room with the rack, curtain, shovel -> Region 2 <room with the bin, cuddly toy, bed>", "C) Region 1 <room with the bed sheet, blanket, nightstand> -> Region 2 <room with the bin, cuddly toy, bed>", "D) Region 1 <room with the bed sheet, blanket, nightstand> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the bin, cuddly toy, bed>"], "answer": "D) Region 1 <room with the bed sheet, blanket, nightstand> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the bin, cuddly toy, bed>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, decorative plate, socket> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bed sheet, blanket, nightstand -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bin, cuddly toy, bed -> room with the bed sheet, blanket, nightstand -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the fireplace wall, decorative plate, socket> -> Region 2 <room with the rack, curtain, shovel>"], "answer": "C) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bed sheet, blanket, nightstand> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the bed sheet, blanket, nightstand> -> room with the bin, cuddly toy, bed -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the bed sheet, blanket, nightstand> -> room with the fireplace wall, decorative plate, socket -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the bed sheet, blanket, nightstand> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the bed sheet, blanket, nightstand> -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>"], "answer": "B) Region 1 <room with the bed sheet, blanket, nightstand> -> room with the fireplace wall, decorative plate, socket -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed sheet, blanket> to Region 2 <room with the kitchen extractor, oven and stove, wall soap shelf>?", "options": ["A) Region 1 <room with the nightstand, bed sheet, blanket> -> Region 2 <room with the kitchen extractor, oven and stove, wall soap shelf>", "B) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the kitchen extractor, oven and stove, wall soap shelf>", "C) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the bin, cuddly toy, bed -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the kitchen extractor, oven and stove, wall soap shelf>", "D) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the bin, cuddly toy, bed -> Region 2 <room with the kitchen extractor, oven and stove, wall soap shelf>"], "answer": "B) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the kitchen extractor, oven and stove, wall soap shelf>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, decorative plate, socket> to Region 2 <room with the bin, cuddly toy, bed>?", "options": ["A) Region 1 <room with the fireplace wall, decorative plate, socket> -> Region 2 <room with the bin, cuddly toy, bed>", "B) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the kitchen extractor, oven and stove, wall soap shelf -> room with the nightstand, bed sheet, blanket -> Region 2 <room with the bin, cuddly toy, bed>", "C) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the nightstand, bed sheet, blanket -> Region 2 <room with the bin, cuddly toy, bed>", "D) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the kitchen extractor, oven and stove, wall soap shelf -> Region 2 <room with the bin, cuddly toy, bed>"], "answer": "D) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the kitchen extractor, oven and stove, wall soap shelf -> Region 2 <room with the bin, cuddly toy, bed>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed sheet, blanket> to Region 2 <room with the bin, cuddly toy, bed>?", "options": ["A) Region 1 <room with the nightstand, bed sheet, blanket> -> Region 2 <room with the bin, cuddly toy, bed>", "B) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the kitchen extractor, oven and stove, wall soap shelf -> Region 2 <room with the bin, cuddly toy, bed>", "C) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the kitchen extractor, oven and stove, wall soap shelf -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the bin, cuddly toy, bed>", "D) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> room with the kitchen extractor, oven and stove, wall soap shelf -> Region 2 <room with the bin, cuddly toy, bed>"], "answer": "D) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> room with the kitchen extractor, oven and stove, wall soap shelf -> Region 2 <room with the bin, cuddly toy, bed>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen extractor, oven and stove, table cloth> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the side table, bed, bedside lamp -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the side table, bed, bedside lamp -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the utensil, coat hanger, door window -> room with the side table, bed, bedside lamp -> Region 2 <room with the rack, curtain, shovel>"], "answer": "C) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the side table, bed, bedside lamp -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the side table, bed, bedside lamp> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the side table, bed, bedside lamp> -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the side table, bed, bedside lamp> -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the side table, bed, bedside lamp> -> room with the rack, curtain, shovel -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the side table, bed, bedside lamp> -> room with the kitchen extractor, oven and stove, table cloth -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "B) Region 1 <room with the side table, bed, bedside lamp> -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen extractor, oven and stove, table cloth> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the side table, bed, bedside lamp -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the side table, bed, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "B) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the side table, bed, bedside lamp -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen extractor, oven and stove, table cloth> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the cuddly toy, side table, bedside lamp -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "A) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cuddly toy, side table, bedside lamp> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the cuddly toy, side table, bedside lamp> -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the cuddly toy, side table, bedside lamp> -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the cuddly toy, side table, bedside lamp> -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the cuddly toy, side table, bedside lamp> -> room with the utensil, coat hanger, door window -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the rack, curtain, shovel>"], "answer": "B) Region 1 <room with the cuddly toy, side table, bedside lamp> -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen extractor, oven and stove, table cloth> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the utensil, coat hanger, door window -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the cuddly toy, side table, bedside lamp -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>"], "answer": "D) Region 1 <room with the kitchen extractor, oven and stove, table cloth> -> room with the cuddly toy, side table, bedside lamp -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed sheet, blanket> to Region 2 <room with the bin, cuddly toy, bed>?", "options": ["A) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the rack, curtain, shovel -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the bin, cuddly toy, bed>", "B) Region 1 <room with the nightstand, bed sheet, blanket> -> Region 2 <room with the bin, cuddly toy, bed>", "C) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the bin, cuddly toy, bed>", "D) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> room with the rack, curtain, shovel -> Region 2 <room with the bin, cuddly toy, bed>"], "answer": "C) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the bin, cuddly toy, bed>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, decorative plate, socket> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the nightstand, bed sheet, blanket -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the nightstand, bed sheet, blanket -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bin, cuddly toy, bed -> room with the nightstand, bed sheet, blanket -> Region 2 <room with the rack, curtain, shovel>"], "answer": "A) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed sheet, blanket> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the nightstand, bed sheet, blanket> -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>"], "answer": "A) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> room with the bin, cuddly toy, bed -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed sheet, blanket> to Region 2 <room with the side table, bed, bin>?", "options": ["A) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the side table, bed, bin>", "B) Region 1 <room with the nightstand, bed sheet, blanket> -> Region 2 <room with the side table, bed, bin>", "C) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the utensil, coat hanger, door window -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the side table, bed, bin>", "D) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the utensil, coat hanger, door window -> Region 2 <room with the side table, bed, bin>"], "answer": "A) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the side table, bed, bin>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, decorative plate, socket> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the nightstand, bed sheet, blanket -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the nightstand, bed sheet, blanket -> room with the side table, bed, bin -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the side table, bed, bin -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the side table, bed, bin -> room with the nightstand, bed sheet, blanket -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "C) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the side table, bed, bin -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed sheet, blanket> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the nightstand, bed sheet, blanket> -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> room with the side table, bed, bin -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the side table, bed, bin -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "B) Region 1 <room with the nightstand, bed sheet, blanket> -> room with the fireplace wall, decorative plate, socket -> room with the side table, bed, bin -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, wall electronics, decorative plate> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> Region 2 <room with the rack, curtain, shovel>"], "answer": "D) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the side table, bed, bedside lamp> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the side table, bed, bedside lamp> -> room with the rack, curtain, shovel -> room with the fireplace wall, wall electronics, decorative plate -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the side table, bed, bedside lamp> -> room with the fireplace wall, wall electronics, decorative plate -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the side table, bed, bedside lamp> -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the side table, bed, bedside lamp> -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "C) Region 1 <room with the side table, bed, bedside lamp> -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, wall electronics, decorative plate> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "B) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, wall electronics, decorative plate> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the rack, curtain, shovel -> room with the side table, bed, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the rack, curtain, shovel -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "D) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the side table, bed, bedside lamp> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the side table, bed, bedside lamp> -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the side table, bed, bedside lamp> -> room with the fireplace wall, wall electronics, decorative plate -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the side table, bed, bedside lamp> -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the side table, bed, bedside lamp> -> room with the utensil, coat hanger, door window -> room with the fireplace wall, wall electronics, decorative plate -> Region 2 <room with the rack, curtain, shovel>"], "answer": "C) Region 1 <room with the side table, bed, bedside lamp> -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, wall electronics, decorative plate> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the utensil, coat hanger, door window -> room with the side table, bed, bedside lamp -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>"], "answer": "A) Region 1 <room with the fireplace wall, wall electronics, decorative plate> -> room with the side table, bed, bedside lamp -> room with the utensil, coat hanger, door window -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom shelf, sink pipe, faucet> to Region 2 <room with the cuddly toy, side table, bedside lamp>?", "options": ["A) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the cuddly toy, side table, bedside lamp>", "B) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> room with the fireplace wall, decorative plate, socket -> room with the utensil, coat hanger, door window -> Region 2 <room with the cuddly toy, side table, bedside lamp>", "C) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> Region 2 <room with the cuddly toy, side table, bedside lamp>", "D) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> room with the utensil, coat hanger, door window -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the cuddly toy, side table, bedside lamp>"], "answer": "A) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the cuddly toy, side table, bedside lamp>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, decorative plate, socket> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bathroom shelf, sink pipe, faucet -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bathroom shelf, sink pipe, faucet -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the cuddly toy, side table, bedside lamp -> room with the bathroom shelf, sink pipe, faucet -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "B) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom shelf, sink pipe, faucet> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> room with the cuddly toy, side table, bedside lamp -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> room with the fireplace wall, decorative plate, socket -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "C) Region 1 <room with the bathroom shelf, sink pipe, faucet> -> room with the fireplace wall, decorative plate, socket -> room with the cuddly toy, side table, bedside lamp -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, toilet, laundry basket> to Region 2 <room with the kitchen extractor, oven and stove, table cloth>?", "options": ["A) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> room with the side table, folding chair, cuddly toy -> Region 2 <room with the kitchen extractor, oven and stove, table cloth>", "B) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> Region 2 <room with the kitchen extractor, oven and stove, table cloth>", "C) Region 1 <room with the faucet, toilet, laundry basket> -> room with the side table, folding chair, cuddly toy -> room with the fireplace wall, decorative plate, fireplace -> Region 2 <room with the kitchen extractor, oven and stove, table cloth>", "D) Region 1 <room with the faucet, toilet, laundry basket> -> Region 2 <room with the kitchen extractor, oven and stove, table cloth>"], "answer": "B) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> Region 2 <room with the kitchen extractor, oven and stove, table cloth>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, decorative plate, fireplace> to Region 2 <room with the side table, folding chair, cuddly toy>?", "options": ["A) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> room with the faucet, toilet, laundry basket -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the side table, folding chair, cuddly toy>", "B) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> room with the kitchen extractor, oven and stove, table cloth -> room with the faucet, toilet, laundry basket -> Region 2 <room with the side table, folding chair, cuddly toy>", "C) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> Region 2 <room with the side table, folding chair, cuddly toy>", "D) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the side table, folding chair, cuddly toy>"], "answer": "D) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the side table, folding chair, cuddly toy>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, toilet, laundry basket> to Region 2 <room with the side table, folding chair, cuddly toy>?", "options": ["A) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the side table, folding chair, cuddly toy>", "B) Region 1 <room with the faucet, toilet, laundry basket> -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the side table, folding chair, cuddly toy>", "C) Region 1 <room with the faucet, toilet, laundry basket> -> Region 2 <room with the side table, folding chair, cuddly toy>", "D) Region 1 <room with the faucet, toilet, laundry basket> -> room with the kitchen extractor, oven and stove, table cloth -> room with the fireplace wall, decorative plate, fireplace -> Region 2 <room with the side table, folding chair, cuddly toy>"], "answer": "A) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> room with the kitchen extractor, oven and stove, table cloth -> Region 2 <room with the side table, folding chair, cuddly toy>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom shelf, bath sink, faucet> to Region 2 <room with the side table, bedside lamp, folding chair>?", "options": ["A) Region 1 <room with the bathroom shelf, bath sink, faucet> -> Region 2 <room with the side table, bedside lamp, folding chair>", "B) Region 1 <room with the bathroom shelf, bath sink, faucet> -> room with the fireplace wall, decorative plate, socket -> room with the rack, curtain, shovel -> Region 2 <room with the side table, bedside lamp, folding chair>", "C) Region 1 <room with the bathroom shelf, bath sink, faucet> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the side table, bedside lamp, folding chair>", "D) Region 1 <room with the bathroom shelf, bath sink, faucet> -> room with the rack, curtain, shovel -> Region 2 <room with the side table, bedside lamp, folding chair>"], "answer": "C) Region 1 <room with the bathroom shelf, bath sink, faucet> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the side table, bedside lamp, folding chair>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, decorative plate, socket> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bathroom shelf, bath sink, faucet -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the fireplace wall, decorative plate, socket> -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the bathroom shelf, bath sink, faucet -> room with the side table, bedside lamp, folding chair -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the side table, bedside lamp, folding chair -> Region 2 <room with the rack, curtain, shovel>"], "answer": "D) Region 1 <room with the fireplace wall, decorative plate, socket> -> room with the side table, bedside lamp, folding chair -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathroom shelf, bath sink, faucet> to Region 2 <room with the rack, curtain, shovel>?", "options": ["A) Region 1 <room with the bathroom shelf, bath sink, faucet> -> room with the side table, bedside lamp, folding chair -> Region 2 <room with the rack, curtain, shovel>", "B) Region 1 <room with the bathroom shelf, bath sink, faucet> -> room with the fireplace wall, decorative plate, socket -> room with the side table, bedside lamp, folding chair -> Region 2 <room with the rack, curtain, shovel>", "C) Region 1 <room with the bathroom shelf, bath sink, faucet> -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the rack, curtain, shovel>", "D) Region 1 <room with the bathroom shelf, bath sink, faucet> -> room with the side table, bedside lamp, folding chair -> room with the fireplace wall, decorative plate, socket -> Region 2 <room with the rack, curtain, shovel>"], "answer": "B) Region 1 <room with the bathroom shelf, bath sink, faucet> -> room with the fireplace wall, decorative plate, socket -> room with the side table, bedside lamp, folding chair -> Region 2 <room with the rack, curtain, shovel>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route8/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, toilet, laundry basket> to Region 2 <room with the folding chair, cuddly toy, wardrobe>?", "options": ["A) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> room with the utensil, coat hanger, door window -> Region 2 <room with the folding chair, cuddly toy, wardrobe>", "B) Region 1 <room with the faucet, toilet, laundry basket> -> room with the utensil, coat hanger, door window -> room with the fireplace wall, decorative plate, fireplace -> Region 2 <room with the folding chair, cuddly toy, wardrobe>", "C) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> Region 2 <room with the folding chair, cuddly toy, wardrobe>", "D) Region 1 <room with the faucet, toilet, laundry basket> -> Region 2 <room with the folding chair, cuddly toy, wardrobe>"], "answer": "C) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> Region 2 <room with the folding chair, cuddly toy, wardrobe>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, decorative plate, fireplace> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> room with the folding chair, cuddly toy, wardrobe -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> room with the faucet, toilet, laundry basket -> room with the folding chair, cuddly toy, wardrobe -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> room with the faucet, toilet, laundry basket -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "A) Region 1 <room with the fireplace wall, decorative plate, fireplace> -> room with the folding chair, cuddly toy, wardrobe -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the faucet, toilet, laundry basket> to Region 2 <room with the utensil, coat hanger, door window>?", "options": ["A) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> room with the folding chair, cuddly toy, wardrobe -> Region 2 <room with the utensil, coat hanger, door window>", "B) Region 1 <room with the faucet, toilet, laundry basket> -> room with the folding chair, cuddly toy, wardrobe -> room with the fireplace wall, decorative plate, fireplace -> Region 2 <room with the utensil, coat hanger, door window>", "C) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> Region 2 <room with the utensil, coat hanger, door window>", "D) Region 1 <room with the faucet, toilet, laundry basket> -> Region 2 <room with the utensil, coat hanger, door window>"], "answer": "A) Region 1 <room with the faucet, toilet, laundry basket> -> room with the fireplace wall, decorative plate, fireplace -> room with the folding chair, cuddly toy, wardrobe -> Region 2 <room with the utensil, coat hanger, door window>", "videos": ["dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/q3zU7Yy5E5s/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the mat, air conditioning, stairs railing> to Region 2 <room with the cabinet, printer, fireplace>?", "options": ["A) Region 1 <room with the mat, air conditioning, stairs railing> -> room with the vent, lamp, picture -> Region 2 <room with the cabinet, printer, fireplace>", "B) Region 1 <room with the mat, air conditioning, stairs railing> -> room with the tv, dresser, air conditioning -> Region 2 <room with the cabinet, printer, fireplace>", "C) Region 1 <room with the mat, air conditioning, stairs railing> -> Region 2 <room with the cabinet, printer, fireplace>", "D) Region 1 <room with the mat, air conditioning, stairs railing> -> room with the vent, lamp, picture -> room with the tv, dresser, air conditioning -> Region 2 <room with the cabinet, printer, fireplace>"], "answer": "B) Region 1 <room with the mat, air conditioning, stairs railing> -> room with the tv, dresser, air conditioning -> Region 2 <room with the cabinet, printer, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, dresser, air conditioning> to Region 2 <room with the tv, dresser, air conditioning>?", "options": ["A) Region 1 <room with the tv, dresser, air conditioning> -> room with the cabinet, printer, fireplace -> Region 2 <room with the tv, dresser, air conditioning>", "B) Region 1 <room with the tv, dresser, air conditioning> -> room with the cabinet, printer, fireplace -> room with the mat, air conditioning, stairs railing -> Region 2 <room with the tv, dresser, air conditioning>", "C) Region 1 <room with the tv, dresser, air conditioning> -> Region 2 <room with the tv, dresser, air conditioning>", "D) Region 1 <room with the tv, dresser, air conditioning> -> room with the mat, air conditioning, stairs railing -> room with the cabinet, printer, fireplace -> Region 2 <room with the tv, dresser, air conditioning>"], "answer": "A) Region 1 <room with the tv, dresser, air conditioning> -> room with the cabinet, printer, fireplace -> Region 2 <room with the tv, dresser, air conditioning>", "videos": ["dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the mat, air conditioning, stairs railing> to Region 2 <room with the tv, dresser, air conditioning>?", "options": ["A) Region 1 <room with the mat, air conditioning, stairs railing> -> Region 2 <room with the tv, dresser, air conditioning>", "B) Region 1 <room with the mat, air conditioning, stairs railing> -> room with the cabinet, printer, fireplace -> room with the tv, dresser, air conditioning -> Region 2 <room with the tv, dresser, air conditioning>", "C) Region 1 <room with the mat, air conditioning, stairs railing> -> room with the cabinet, printer, fireplace -> Region 2 <room with the tv, dresser, air conditioning>", "D) Region 1 <room with the mat, air conditioning, stairs railing> -> room with the tv, dresser, air conditioning -> room with the cabinet, printer, fireplace -> Region 2 <room with the tv, dresser, air conditioning>"], "answer": "D) Region 1 <room with the mat, air conditioning, stairs railing> -> room with the tv, dresser, air conditioning -> room with the cabinet, printer, fireplace -> Region 2 <room with the tv, dresser, air conditioning>", "videos": ["dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/qyAac8rV8Zk/route0/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air duct, outlet, clothes dryer> to Region 2 <room with the bathtub, cosmetics, shower curtain>?", "options": ["A) None", "B) None", "C) Region 1 <room with the air duct, outlet, clothes dryer> -> Region 2 <room with the bathtub, cosmetics, shower curtain>", "D) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the fruit bowl, worktop, tray -> Region 2 <room with the bathtub, cosmetics, shower curtain>"], "answer": "D) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the fruit bowl, worktop, tray -> Region 2 <room with the bathtub, cosmetics, shower curtain>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air duct, outlet, clothes dryer> to Region 2 <room with the terrace, basket, tv>?", "options": ["A) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the fruit bowl, worktop, tray -> room with the bathtub, showerhead, shower curtain -> Region 2 <room with the terrace, basket, tv>", "B) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the bathtub, showerhead, shower curtain -> Region 2 <room with the terrace, basket, tv>", "C) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the fruit bowl, worktop, tray -> Region 2 <room with the terrace, basket, tv>", "D) Region 1 <room with the air duct, outlet, clothes dryer> -> Region 2 <room with the terrace, basket, tv>"], "answer": "C) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the fruit bowl, worktop, tray -> Region 2 <room with the terrace, basket, tv>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, worktop, tray> to Region 2 <room with the bathtub, showerhead, shower curtain>?", "options": ["A) Region 1 <room with the fruit bowl, worktop, tray> -> room with the air duct, outlet, clothes dryer -> room with the terrace, basket, tv -> Region 2 <room with the bathtub, showerhead, shower curtain>", "B) Region 1 <room with the fruit bowl, worktop, tray> -> Region 2 <room with the bathtub, showerhead, shower curtain>", "C) Region 1 <room with the fruit bowl, worktop, tray> -> room with the terrace, basket, tv -> Region 2 <room with the bathtub, showerhead, shower curtain>", "D) Region 1 <room with the fruit bowl, worktop, tray> -> room with the air duct, outlet, clothes dryer -> Region 2 <room with the bathtub, showerhead, shower curtain>"], "answer": "C) Region 1 <room with the fruit bowl, worktop, tray> -> room with the terrace, basket, tv -> Region 2 <room with the bathtub, showerhead, shower curtain>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air duct, outlet, clothes dryer> to Region 2 <room with the bathtub, showerhead, shower curtain>?", "options": ["A) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the fruit bowl, worktop, tray -> Region 2 <room with the bathtub, showerhead, shower curtain>", "B) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the terrace, basket, tv -> room with the fruit bowl, worktop, tray -> Region 2 <room with the bathtub, showerhead, shower curtain>", "C) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the fruit bowl, worktop, tray -> room with the terrace, basket, tv -> Region 2 <room with the bathtub, showerhead, shower curtain>", "D) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the terrace, basket, tv -> Region 2 <room with the bathtub, showerhead, shower curtain>"], "answer": "C) Region 1 <room with the air duct, outlet, clothes dryer> -> room with the fruit bowl, worktop, tray -> room with the terrace, basket, tv -> Region 2 <room with the bathtub, showerhead, shower curtain>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route11/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air duct, hose, outlet> to Region 2 <room with the terrace, basket, tv>?", "options": ["A) Region 1 <room with the air duct, hose, outlet> -> Region 2 <room with the terrace, basket, tv>", "B) Region 1 <room with the air duct, hose, outlet> -> room with the clock, blanket, bed -> room with the fruit bowl, worktop, tap -> Region 2 <room with the terrace, basket, tv>", "C) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> room with the clock, blanket, bed -> Region 2 <room with the terrace, basket, tv>", "D) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> Region 2 <room with the terrace, basket, tv>"], "answer": "D) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> Region 2 <room with the terrace, basket, tv>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, worktop, tap> to Region 2 <room with the clock, blanket, bed>?", "options": ["A) Region 1 <room with the fruit bowl, worktop, tap> -> room with the terrace, basket, tv -> Region 2 <room with the clock, blanket, bed>", "B) Region 1 <room with the fruit bowl, worktop, tap> -> room with the air duct, hose, outlet -> room with the terrace, basket, tv -> Region 2 <room with the clock, blanket, bed>", "C) Region 1 <room with the fruit bowl, worktop, tap> -> Region 2 <room with the clock, blanket, bed>", "D) Region 1 <room with the fruit bowl, worktop, tap> -> room with the terrace, basket, tv -> room with the air duct, hose, outlet -> Region 2 <room with the clock, blanket, bed>"], "answer": "A) Region 1 <room with the fruit bowl, worktop, tap> -> room with the terrace, basket, tv -> Region 2 <room with the clock, blanket, bed>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air duct, hose, outlet> to Region 2 <room with the clock, blanket, bed>?", "options": ["A) Region 1 <room with the air duct, hose, outlet> -> room with the terrace, basket, tv -> Region 2 <room with the clock, blanket, bed>", "B) Region 1 <room with the air duct, hose, outlet> -> room with the terrace, basket, tv -> room with the fruit bowl, worktop, tap -> Region 2 <room with the clock, blanket, bed>", "C) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> Region 2 <room with the clock, blanket, bed>", "D) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> room with the terrace, basket, tv -> Region 2 <room with the clock, blanket, bed>"], "answer": "D) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> room with the terrace, basket, tv -> Region 2 <room with the clock, blanket, bed>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air duct, hose, outlet> to Region 2 <room with the decor, bed, box>?", "options": ["A) Region 1 <room with the air duct, hose, outlet> -> room with the terrace, tv, rug -> room with the fruit bowl, worktop, tap -> Region 2 <room with the decor, bed, box>", "B) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> Region 2 <room with the decor, bed, box>", "C) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> room with the terrace, tv, rug -> Region 2 <room with the decor, bed, box>", "D) Region 1 <room with the air duct, hose, outlet> -> room with the terrace, tv, rug -> Region 2 <room with the decor, bed, box>"], "answer": "B) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> Region 2 <room with the decor, bed, box>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, worktop, tap> to Region 2 <room with the terrace, tv, rug>?", "options": ["A) Region 1 <room with the fruit bowl, worktop, tap> -> room with the decor, bed, box -> room with the air duct, hose, outlet -> Region 2 <room with the terrace, tv, rug>", "B) Region 1 <room with the fruit bowl, worktop, tap> -> room with the air duct, hose, outlet -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, rug>", "C) Region 1 <room with the fruit bowl, worktop, tap> -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, rug>", "D) Region 1 <room with the fruit bowl, worktop, tap> -> room with the air duct, hose, outlet -> Region 2 <room with the terrace, tv, rug>"], "answer": "C) Region 1 <room with the fruit bowl, worktop, tap> -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, rug>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air duct, hose, outlet> to Region 2 <room with the terrace, tv, rug>?", "options": ["A) Region 1 <room with the air duct, hose, outlet> -> room with the decor, bed, box -> room with the fruit bowl, worktop, tap -> Region 2 <room with the terrace, tv, rug>", "B) Region 1 <room with the air duct, hose, outlet> -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, rug>", "C) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> Region 2 <room with the terrace, tv, rug>", "D) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, rug>"], "answer": "D) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tap -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, rug>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route13/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the showerhead, shower curtain, toilet> to Region 2 <room with the decor, bed, box>?", "options": ["A) Region 1 <room with the showerhead, shower curtain, toilet> -> room with the terrace, tv, sofa -> Region 2 <room with the decor, bed, box>", "B) Region 1 <room with the showerhead, shower curtain, toilet> -> room with the fruit bowl, worktop, tray -> Region 2 <room with the decor, bed, box>", "C) Region 1 <room with the showerhead, shower curtain, toilet> -> room with the fruit bowl, worktop, tray -> room with the terrace, tv, sofa -> Region 2 <room with the decor, bed, box>", "D) Region 1 <room with the showerhead, shower curtain, toilet> -> room with the terrace, tv, sofa -> room with the fruit bowl, worktop, tray -> Region 2 <room with the decor, bed, box>"], "answer": "B) Region 1 <room with the showerhead, shower curtain, toilet> -> room with the fruit bowl, worktop, tray -> Region 2 <room with the decor, bed, box>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, worktop, tray> to Region 2 <room with the terrace, tv, sofa>?", "options": ["A) Region 1 <room with the fruit bowl, worktop, tray> -> room with the decor, bed, box -> room with the showerhead, shower curtain, toilet -> Region 2 <room with the terrace, tv, sofa>", "B) Region 1 <room with the fruit bowl, worktop, tray> -> room with the showerhead, shower curtain, toilet -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, sofa>", "C) Region 1 <room with the fruit bowl, worktop, tray> -> Region 2 <room with the terrace, tv, sofa>", "D) Region 1 <room with the fruit bowl, worktop, tray> -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, sofa>"], "answer": "D) Region 1 <room with the fruit bowl, worktop, tray> -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, sofa>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the showerhead, shower curtain, toilet> to Region 2 <room with the terrace, tv, sofa>?", "options": ["A) Region 1 <room with the showerhead, shower curtain, toilet> -> room with the fruit bowl, worktop, tray -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, sofa>", "B) Region 1 <room with the showerhead, shower curtain, toilet> -> room with the decor, bed, box -> room with the fruit bowl, worktop, tray -> Region 2 <room with the terrace, tv, sofa>", "C) Region 1 <room with the showerhead, shower curtain, toilet> -> Region 2 <room with the terrace, tv, sofa>", "D) Region 1 <room with the showerhead, shower curtain, toilet> -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, sofa>"], "answer": "A) Region 1 <room with the showerhead, shower curtain, toilet> -> room with the fruit bowl, worktop, tray -> room with the decor, bed, box -> Region 2 <room with the terrace, tv, sofa>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the terrace, basket, tv> to Region 2 <room with the fruit bowl, worktop, dishwasher>?", "options": ["A) None", "B) None", "C) Region 1 <room with the terrace, basket, tv> -> Region 2 <room with the fruit bowl, worktop, dishwasher>", "D) Region 1 <room with the terrace, basket, tv> -> room with the decor, bed, box -> Region 2 <room with the fruit bowl, worktop, dishwasher>"], "answer": "D) Region 1 <room with the terrace, basket, tv> -> room with the decor, bed, box -> Region 2 <room with the fruit bowl, worktop, dishwasher>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route21/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route21/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clock, blanket, bed> to Region 2 <room with the decor, bed, box>?", "options": ["A) Region 1 <room with the clock, blanket, bed> -> room with the terrace, tv, rug -> Region 2 <room with the decor, bed, box>", "B) Region 1 <room with the clock, blanket, bed> -> Region 2 <room with the decor, bed, box>", "C) Region 1 <room with the clock, blanket, bed> -> room with the fruit bowl, worktop, tap -> Region 2 <room with the decor, bed, box>", "D) Region 1 <room with the clock, blanket, bed> -> room with the terrace, tv, rug -> room with the fruit bowl, worktop, tap -> Region 2 <room with the decor, bed, box>"], "answer": "A) Region 1 <room with the clock, blanket, bed> -> room with the terrace, tv, rug -> Region 2 <room with the decor, bed, box>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the terrace, tv, rug> to Region 2 <room with the fruit bowl, worktop, tap>?", "options": ["A) Region 1 <room with the terrace, tv, rug> -> Region 2 <room with the fruit bowl, worktop, tap>", "B) Region 1 <room with the terrace, tv, rug> -> room with the clock, blanket, bed -> Region 2 <room with the fruit bowl, worktop, tap>", "C) Region 1 <room with the terrace, tv, rug> -> room with the decor, bed, box -> Region 2 <room with the fruit bowl, worktop, tap>", "D) Region 1 <room with the terrace, tv, rug> -> room with the clock, blanket, bed -> room with the decor, bed, box -> Region 2 <room with the fruit bowl, worktop, tap>"], "answer": "C) Region 1 <room with the terrace, tv, rug> -> room with the decor, bed, box -> Region 2 <room with the fruit bowl, worktop, tap>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clock, blanket, bed> to Region 2 <room with the fruit bowl, worktop, tap>?", "options": ["A) Region 1 <room with the clock, blanket, bed> -> room with the decor, bed, box -> Region 2 <room with the fruit bowl, worktop, tap>", "B) Region 1 <room with the clock, blanket, bed> -> room with the terrace, tv, rug -> room with the decor, bed, box -> Region 2 <room with the fruit bowl, worktop, tap>", "C) Region 1 <room with the clock, blanket, bed> -> Region 2 <room with the fruit bowl, worktop, tap>", "D) Region 1 <room with the clock, blanket, bed> -> room with the decor, bed, box -> room with the terrace, tv, rug -> Region 2 <room with the fruit bowl, worktop, tap>"], "answer": "B) Region 1 <room with the clock, blanket, bed> -> room with the terrace, tv, rug -> room with the decor, bed, box -> Region 2 <room with the fruit bowl, worktop, tap>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route22/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, desk, smoke detector> to Region 2 <room with the terrace, basket, tv>?", "options": ["A) Region 1 <room with the trashcan, desk, smoke detector> -> room with the box, decor, clock -> room with the fruit bowl, worktop, dishwasher -> Region 2 <room with the terrace, basket, tv>", "B) Region 1 <room with the trashcan, desk, smoke detector> -> room with the box, decor, clock -> Region 2 <room with the terrace, basket, tv>", "C) Region 1 <room with the trashcan, desk, smoke detector> -> Region 2 <room with the terrace, basket, tv>", "D) Region 1 <room with the trashcan, desk, smoke detector> -> room with the fruit bowl, worktop, dishwasher -> Region 2 <room with the terrace, basket, tv>"], "answer": "D) Region 1 <room with the trashcan, desk, smoke detector> -> room with the fruit bowl, worktop, dishwasher -> Region 2 <room with the terrace, basket, tv>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, worktop, dishwasher> to Region 2 <room with the box, decor, clock>?", "options": ["A) Region 1 <room with the fruit bowl, worktop, dishwasher> -> room with the trashcan, desk, smoke detector -> Region 2 <room with the box, decor, clock>", "B) Region 1 <room with the fruit bowl, worktop, dishwasher> -> room with the trashcan, desk, smoke detector -> room with the terrace, basket, tv -> Region 2 <room with the box, decor, clock>", "C) Region 1 <room with the fruit bowl, worktop, dishwasher> -> room with the terrace, basket, tv -> room with the trashcan, desk, smoke detector -> Region 2 <room with the box, decor, clock>", "D) Region 1 <room with the fruit bowl, worktop, dishwasher> -> room with the terrace, basket, tv -> Region 2 <room with the box, decor, clock>"], "answer": "D) Region 1 <room with the fruit bowl, worktop, dishwasher> -> room with the terrace, basket, tv -> Region 2 <room with the box, decor, clock>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, desk, smoke detector> to Region 2 <room with the box, decor, clock>?", "options": ["A) Region 1 <room with the trashcan, desk, smoke detector> -> room with the fruit bowl, worktop, dishwasher -> room with the terrace, basket, tv -> Region 2 <room with the box, decor, clock>", "B) Region 1 <room with the trashcan, desk, smoke detector> -> room with the fruit bowl, worktop, dishwasher -> Region 2 <room with the box, decor, clock>", "C) Region 1 <room with the trashcan, desk, smoke detector> -> room with the terrace, basket, tv -> room with the fruit bowl, worktop, dishwasher -> Region 2 <room with the box, decor, clock>", "D) Region 1 <room with the trashcan, desk, smoke detector> -> Region 2 <room with the box, decor, clock>"], "answer": "A) Region 1 <room with the trashcan, desk, smoke detector> -> room with the fruit bowl, worktop, dishwasher -> room with the terrace, basket, tv -> Region 2 <room with the box, decor, clock>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, worktop, tray> to Region 2 <room with the bed, shelving, box>?", "options": ["A) Region 1 <room with the fruit bowl, worktop, tray> -> Region 2 <room with the bed, shelving, box>", "B) None", "C) Region 1 <room with the fruit bowl, worktop, tray> -> room with the terrace, basket, tv -> Region 2 <room with the bed, shelving, box>", "D) None"], "answer": "C) Region 1 <room with the fruit bowl, worktop, tray> -> room with the terrace, basket, tv -> Region 2 <room with the bed, shelving, box>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air duct, hose, outlet> to Region 2 <room with the toilet, showerhead, cosmetics>?", "options": ["A) Region 1 <room with the air duct, hose, outlet> -> Region 2 <room with the toilet, showerhead, cosmetics>", "B) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tray -> Region 2 <room with the toilet, showerhead, cosmetics>", "C) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tray -> room with the terrace, basket, tv -> Region 2 <room with the toilet, showerhead, cosmetics>", "D) Region 1 <room with the air duct, hose, outlet> -> room with the terrace, basket, tv -> Region 2 <room with the toilet, showerhead, cosmetics>"], "answer": "B) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tray -> Region 2 <room with the toilet, showerhead, cosmetics>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fruit bowl, worktop, tray> to Region 2 <room with the terrace, basket, tv>?", "options": ["A) Region 1 <room with the fruit bowl, worktop, tray> -> room with the toilet, showerhead, cosmetics -> Region 2 <room with the terrace, basket, tv>", "B) Region 1 <room with the fruit bowl, worktop, tray> -> room with the air duct, hose, outlet -> room with the toilet, showerhead, cosmetics -> Region 2 <room with the terrace, basket, tv>", "C) Region 1 <room with the fruit bowl, worktop, tray> -> Region 2 <room with the terrace, basket, tv>", "D) Region 1 <room with the fruit bowl, worktop, tray> -> room with the air duct, hose, outlet -> Region 2 <room with the terrace, basket, tv>"], "answer": "A) Region 1 <room with the fruit bowl, worktop, tray> -> room with the toilet, showerhead, cosmetics -> Region 2 <room with the terrace, basket, tv>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air duct, hose, outlet> to Region 2 <room with the terrace, basket, tv>?", "options": ["A) Region 1 <room with the air duct, hose, outlet> -> room with the toilet, showerhead, cosmetics -> room with the fruit bowl, worktop, tray -> Region 2 <room with the terrace, basket, tv>", "B) Region 1 <room with the air duct, hose, outlet> -> Region 2 <room with the terrace, basket, tv>", "C) Region 1 <room with the air duct, hose, outlet> -> room with the toilet, showerhead, cosmetics -> Region 2 <room with the terrace, basket, tv>", "D) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tray -> room with the toilet, showerhead, cosmetics -> Region 2 <room with the terrace, basket, tv>"], "answer": "D) Region 1 <room with the air duct, hose, outlet> -> room with the fruit bowl, worktop, tray -> room with the toilet, showerhead, cosmetics -> Region 2 <room with the terrace, basket, tv>", "videos": ["dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/svBbv1Pavdk/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet brush, towel bar, bathtub platform> to Region 2 <room with the chest of drawers, nightstand, closet mirror wall>?", "options": ["A) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> room with the remote control, tv, curtain rod -> room with the shower cabin, vase, toilet -> Region 2 <room with the chest of drawers, nightstand, closet mirror wall>", "B) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> Region 2 <room with the chest of drawers, nightstand, closet mirror wall>", "C) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> room with the remote control, tv, curtain rod -> Region 2 <room with the chest of drawers, nightstand, closet mirror wall>", "D) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> room with the shower cabin, vase, toilet -> room with the remote control, tv, curtain rod -> Region 2 <room with the chest of drawers, nightstand, closet mirror wall>"], "answer": "C) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> room with the remote control, tv, curtain rod -> Region 2 <room with the chest of drawers, nightstand, closet mirror wall>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the remote control, tv, curtain rod> to Region 2 <room with the remote control, tv, curtain rod>?", "options": ["A) Region 1 <room with the remote control, tv, curtain rod> -> room with the chest of drawers, nightstand, closet mirror wall -> room with the toilet brush, towel bar, bathtub platform -> Region 2 <room with the remote control, tv, curtain rod>", "B) Region 1 <room with the remote control, tv, curtain rod> -> room with the toilet brush, towel bar, bathtub platform -> Region 2 <room with the remote control, tv, curtain rod>", "C) Region 1 <room with the remote control, tv, curtain rod> -> Region 2 <room with the remote control, tv, curtain rod>", "D) Region 1 <room with the remote control, tv, curtain rod> -> room with the chest of drawers, nightstand, closet mirror wall -> Region 2 <room with the remote control, tv, curtain rod>"], "answer": "D) Region 1 <room with the remote control, tv, curtain rod> -> room with the chest of drawers, nightstand, closet mirror wall -> Region 2 <room with the remote control, tv, curtain rod>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet brush, towel bar, bathtub platform> to Region 2 <room with the remote control, tv, curtain rod>?", "options": ["A) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> room with the remote control, tv, curtain rod -> room with the chest of drawers, nightstand, closet mirror wall -> Region 2 <room with the remote control, tv, curtain rod>", "B) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> room with the remote control, tv, curtain rod -> Region 2 <room with the remote control, tv, curtain rod>", "C) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> Region 2 <room with the remote control, tv, curtain rod>", "D) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> room with the chest of drawers, nightstand, closet mirror wall -> room with the remote control, tv, curtain rod -> Region 2 <room with the remote control, tv, curtain rod>"], "answer": "A) Region 1 <room with the toilet brush, towel bar, bathtub platform> -> room with the remote control, tv, curtain rod -> room with the chest of drawers, nightstand, closet mirror wall -> Region 2 <room with the remote control, tv, curtain rod>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vacuum cleaner, ladder, painting> to Region 2 <room with the sign, thermostat, smoke detector>?", "options": ["A) Region 1 <room with the vacuum cleaner, ladder, painting> -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the sign, thermostat, smoke detector>", "B) Region 1 <room with the vacuum cleaner, ladder, painting> -> room with the shower dial, shower cabin, showerhead -> room with the ladder, smoke detector, curtain -> Region 2 <room with the sign, thermostat, smoke detector>", "C) Region 1 <room with the vacuum cleaner, ladder, painting> -> room with the ladder, smoke detector, curtain -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the sign, thermostat, smoke detector>", "D) Region 1 <room with the vacuum cleaner, ladder, painting> -> Region 2 <room with the sign, thermostat, smoke detector>"], "answer": "A) Region 1 <room with the vacuum cleaner, ladder, painting> -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the sign, thermostat, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower dial, shower cabin, showerhead> to Region 2 <room with the ladder, smoke detector, curtain>?", "options": ["A) Region 1 <room with the shower dial, shower cabin, showerhead> -> room with the sign, thermostat, smoke detector -> Region 2 <room with the ladder, smoke detector, curtain>", "B) Region 1 <room with the shower dial, shower cabin, showerhead> -> room with the vacuum cleaner, ladder, painting -> Region 2 <room with the ladder, smoke detector, curtain>", "C) Region 1 <room with the shower dial, shower cabin, showerhead> -> Region 2 <room with the ladder, smoke detector, curtain>", "D) Region 1 <room with the shower dial, shower cabin, showerhead> -> room with the vacuum cleaner, ladder, painting -> room with the sign, thermostat, smoke detector -> Region 2 <room with the ladder, smoke detector, curtain>"], "answer": "A) Region 1 <room with the shower dial, shower cabin, showerhead> -> room with the sign, thermostat, smoke detector -> Region 2 <room with the ladder, smoke detector, curtain>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vacuum cleaner, ladder, painting> to Region 2 <room with the ladder, smoke detector, curtain>?", "options": ["A) Region 1 <room with the vacuum cleaner, ladder, painting> -> Region 2 <room with the ladder, smoke detector, curtain>", "B) Region 1 <room with the vacuum cleaner, ladder, painting> -> room with the shower dial, shower cabin, showerhead -> room with the sign, thermostat, smoke detector -> Region 2 <room with the ladder, smoke detector, curtain>", "C) Region 1 <room with the vacuum cleaner, ladder, painting> -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the ladder, smoke detector, curtain>", "D) Region 1 <room with the vacuum cleaner, ladder, painting> -> room with the sign, thermostat, smoke detector -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the ladder, smoke detector, curtain>"], "answer": "B) Region 1 <room with the vacuum cleaner, ladder, painting> -> room with the shower dial, shower cabin, showerhead -> room with the sign, thermostat, smoke detector -> Region 2 <room with the ladder, smoke detector, curtain>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, curtain rod, picture> to Region 2 <room with the shower cabin, shelf, hook>?", "options": ["A) Region 1 <room with the ladder, curtain rod, picture> -> room with the box, stairs, surface -> Region 2 <room with the shower cabin, shelf, hook>", "B) Region 1 <room with the ladder, curtain rod, picture> -> Region 2 <room with the shower cabin, shelf, hook>", "C) Region 1 <room with the ladder, curtain rod, picture> -> room with the smoke detector, sign, thermostat -> Region 2 <room with the shower cabin, shelf, hook>", "D) Region 1 <room with the ladder, curtain rod, picture> -> room with the box, stairs, surface -> room with the smoke detector, sign, thermostat -> Region 2 <room with the shower cabin, shelf, hook>"], "answer": "C) Region 1 <room with the ladder, curtain rod, picture> -> room with the smoke detector, sign, thermostat -> Region 2 <room with the shower cabin, shelf, hook>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the smoke detector, sign, thermostat> to Region 2 <room with the box, stairs, surface>?", "options": ["A) Region 1 <room with the smoke detector, sign, thermostat> -> room with the ladder, curtain rod, picture -> Region 2 <room with the box, stairs, surface>", "B) Region 1 <room with the smoke detector, sign, thermostat> -> room with the shower cabin, shelf, hook -> room with the ladder, curtain rod, picture -> Region 2 <room with the box, stairs, surface>", "C) Region 1 <room with the smoke detector, sign, thermostat> -> Region 2 <room with the box, stairs, surface>", "D) Region 1 <room with the smoke detector, sign, thermostat> -> room with the shower cabin, shelf, hook -> Region 2 <room with the box, stairs, surface>"], "answer": "D) Region 1 <room with the smoke detector, sign, thermostat> -> room with the shower cabin, shelf, hook -> Region 2 <room with the box, stairs, surface>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, curtain rod, picture> to Region 2 <room with the box, stairs, surface>?", "options": ["A) Region 1 <room with the ladder, curtain rod, picture> -> room with the shower cabin, shelf, hook -> room with the smoke detector, sign, thermostat -> Region 2 <room with the box, stairs, surface>", "B) Region 1 <room with the ladder, curtain rod, picture> -> room with the smoke detector, sign, thermostat -> Region 2 <room with the box, stairs, surface>", "C) Region 1 <room with the ladder, curtain rod, picture> -> room with the smoke detector, sign, thermostat -> room with the shower cabin, shelf, hook -> Region 2 <room with the box, stairs, surface>", "D) Region 1 <room with the ladder, curtain rod, picture> -> room with the shower cabin, shelf, hook -> Region 2 <room with the box, stairs, surface>"], "answer": "C) Region 1 <room with the ladder, curtain rod, picture> -> room with the smoke detector, sign, thermostat -> room with the shower cabin, shelf, hook -> Region 2 <room with the box, stairs, surface>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route10/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, ladder, smoke detector> to Region 2 <room with the blinds, kitchen counter, table tennis table>?", "options": ["A) Region 1 <room with the curtain rod, ladder, smoke detector> -> room with the hook, sign, thermostat -> room with the box, stairs, surface -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "B) Region 1 <room with the curtain rod, ladder, smoke detector> -> room with the box, stairs, surface -> room with the hook, sign, thermostat -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "C) Region 1 <room with the curtain rod, ladder, smoke detector> -> room with the hook, sign, thermostat -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "D) Region 1 <room with the curtain rod, ladder, smoke detector> -> room with the box, stairs, surface -> Region 2 <room with the blinds, kitchen counter, table tennis table>"], "answer": "C) Region 1 <room with the curtain rod, ladder, smoke detector> -> room with the hook, sign, thermostat -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the hook, sign, thermostat> to Region 2 <room with the box, stairs, surface>?", "options": ["A) Region 1 <room with the hook, sign, thermostat> -> room with the curtain rod, ladder, smoke detector -> Region 2 <room with the box, stairs, surface>", "B) Region 1 <room with the hook, sign, thermostat> -> room with the curtain rod, ladder, smoke detector -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the box, stairs, surface>", "C) Region 1 <room with the hook, sign, thermostat> -> room with the blinds, kitchen counter, table tennis table -> room with the curtain rod, ladder, smoke detector -> Region 2 <room with the box, stairs, surface>", "D) Region 1 <room with the hook, sign, thermostat> -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the box, stairs, surface>"], "answer": "D) Region 1 <room with the hook, sign, thermostat> -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the box, stairs, surface>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, ladder, smoke detector> to Region 2 <room with the box, stairs, surface>?", "options": ["A) Region 1 <room with the curtain rod, ladder, smoke detector> -> room with the hook, sign, thermostat -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the box, stairs, surface>", "B) Region 1 <room with the curtain rod, ladder, smoke detector> -> room with the hook, sign, thermostat -> Region 2 <room with the box, stairs, surface>", "C) Region 1 <room with the curtain rod, ladder, smoke detector> -> Region 2 <room with the box, stairs, surface>", "D) Region 1 <room with the curtain rod, ladder, smoke detector> -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the box, stairs, surface>"], "answer": "A) Region 1 <room with the curtain rod, ladder, smoke detector> -> room with the hook, sign, thermostat -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the box, stairs, surface>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the towel ring, shower cabin, showerhead> to Region 2 <room with the kitchen counter, table tennis table, ice maker>?", "options": ["A) Region 1 <room with the towel ring, shower cabin, showerhead> -> Region 2 <room with the kitchen counter, table tennis table, ice maker>", "B) Region 1 <room with the towel ring, shower cabin, showerhead> -> room with the painting, hook, sign -> room with the box, stairs, surface -> Region 2 <room with the kitchen counter, table tennis table, ice maker>", "C) Region 1 <room with the towel ring, shower cabin, showerhead> -> room with the box, stairs, surface -> room with the painting, hook, sign -> Region 2 <room with the kitchen counter, table tennis table, ice maker>", "D) Region 1 <room with the towel ring, shower cabin, showerhead> -> room with the painting, hook, sign -> Region 2 <room with the kitchen counter, table tennis table, ice maker>"], "answer": "D) Region 1 <room with the towel ring, shower cabin, showerhead> -> room with the painting, hook, sign -> Region 2 <room with the kitchen counter, table tennis table, ice maker>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the painting, hook, sign> to Region 2 <room with the box, stairs, surface>?", "options": ["A) Region 1 <room with the painting, hook, sign> -> room with the towel ring, shower cabin, showerhead -> Region 2 <room with the box, stairs, surface>", "B) Region 1 <room with the painting, hook, sign> -> room with the kitchen counter, table tennis table, ice maker -> room with the towel ring, shower cabin, showerhead -> Region 2 <room with the box, stairs, surface>", "C) Region 1 <room with the painting, hook, sign> -> room with the kitchen counter, table tennis table, ice maker -> Region 2 <room with the box, stairs, surface>", "D) Region 1 <room with the painting, hook, sign> -> room with the towel ring, shower cabin, showerhead -> room with the kitchen counter, table tennis table, ice maker -> Region 2 <room with the box, stairs, surface>"], "answer": "C) Region 1 <room with the painting, hook, sign> -> room with the kitchen counter, table tennis table, ice maker -> Region 2 <room with the box, stairs, surface>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the towel ring, shower cabin, showerhead> to Region 2 <room with the box, stairs, surface>?", "options": ["A) Region 1 <room with the towel ring, shower cabin, showerhead> -> Region 2 <room with the box, stairs, surface>", "B) Region 1 <room with the towel ring, shower cabin, showerhead> -> room with the kitchen counter, table tennis table, ice maker -> room with the painting, hook, sign -> Region 2 <room with the box, stairs, surface>", "C) Region 1 <room with the towel ring, shower cabin, showerhead> -> room with the painting, hook, sign -> Region 2 <room with the box, stairs, surface>", "D) Region 1 <room with the towel ring, shower cabin, showerhead> -> room with the painting, hook, sign -> room with the kitchen counter, table tennis table, ice maker -> Region 2 <room with the box, stairs, surface>"], "answer": "D) Region 1 <room with the towel ring, shower cabin, showerhead> -> room with the painting, hook, sign -> room with the kitchen counter, table tennis table, ice maker -> Region 2 <room with the box, stairs, surface>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route12/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, mirror, towel> to Region 2 <room with the smoke detector, sign, thermostat>?", "options": ["A) Region 1 <room with the ladder, mirror, towel> -> room with the box, stairs, surface -> room with the toilet, towel bar, showerhead -> Region 2 <room with the smoke detector, sign, thermostat>", "B) Region 1 <room with the ladder, mirror, towel> -> room with the toilet, towel bar, showerhead -> room with the box, stairs, surface -> Region 2 <room with the smoke detector, sign, thermostat>", "C) Region 1 <room with the ladder, mirror, towel> -> room with the box, stairs, surface -> Region 2 <room with the smoke detector, sign, thermostat>", "D) Region 1 <room with the ladder, mirror, towel> -> room with the toilet, towel bar, showerhead -> Region 2 <room with the smoke detector, sign, thermostat>"], "answer": "D) Region 1 <room with the ladder, mirror, towel> -> room with the toilet, towel bar, showerhead -> Region 2 <room with the smoke detector, sign, thermostat>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the toilet, towel bar, showerhead> to Region 2 <room with the box, stairs, surface>?", "options": ["A) Region 1 <room with the toilet, towel bar, showerhead> -> room with the smoke detector, sign, thermostat -> Region 2 <room with the box, stairs, surface>", "B) Region 1 <room with the toilet, towel bar, showerhead> -> room with the ladder, mirror, towel -> Region 2 <room with the box, stairs, surface>", "C) Region 1 <room with the toilet, towel bar, showerhead> -> room with the ladder, mirror, towel -> room with the smoke detector, sign, thermostat -> Region 2 <room with the box, stairs, surface>", "D) Region 1 <room with the toilet, towel bar, showerhead> -> Region 2 <room with the box, stairs, surface>"], "answer": "A) Region 1 <room with the toilet, towel bar, showerhead> -> room with the smoke detector, sign, thermostat -> Region 2 <room with the box, stairs, surface>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, mirror, towel> to Region 2 <room with the box, stairs, surface>?", "options": ["A) Region 1 <room with the ladder, mirror, towel> -> room with the toilet, towel bar, showerhead -> Region 2 <room with the box, stairs, surface>", "B) Region 1 <room with the ladder, mirror, towel> -> Region 2 <room with the box, stairs, surface>", "C) Region 1 <room with the ladder, mirror, towel> -> room with the smoke detector, sign, thermostat -> Region 2 <room with the box, stairs, surface>", "D) Region 1 <room with the ladder, mirror, towel> -> room with the toilet, towel bar, showerhead -> room with the smoke detector, sign, thermostat -> Region 2 <room with the box, stairs, surface>"], "answer": "D) Region 1 <room with the ladder, mirror, towel> -> room with the toilet, towel bar, showerhead -> room with the smoke detector, sign, thermostat -> Region 2 <room with the box, stairs, surface>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route2/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, mirror, towel> to Region 2 <room with the box, surface, stairs>?", "options": ["A) Region 1 <room with the ladder, mirror, towel> -> room with the blinds, kitchen counter, table tennis table -> room with the shower dial, toilet, shower cabin -> Region 2 <room with the box, surface, stairs>", "B) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> Region 2 <room with the box, surface, stairs>", "C) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the box, surface, stairs>", "D) Region 1 <room with the ladder, mirror, towel> -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the box, surface, stairs>"], "answer": "B) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> Region 2 <room with the box, surface, stairs>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower dial, toilet, shower cabin> to Region 2 <room with the blinds, kitchen counter, table tennis table>?", "options": ["A) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the ladder, mirror, towel -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "B) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the box, surface, stairs -> room with the ladder, mirror, towel -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "C) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the ladder, mirror, towel -> room with the box, surface, stairs -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "D) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the box, surface, stairs -> Region 2 <room with the blinds, kitchen counter, table tennis table>"], "answer": "D) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the box, surface, stairs -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, mirror, towel> to Region 2 <room with the blinds, kitchen counter, table tennis table>?", "options": ["A) Region 1 <room with the ladder, mirror, towel> -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "B) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> room with the box, surface, stairs -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "C) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "D) Region 1 <room with the ladder, mirror, towel> -> room with the box, surface, stairs -> Region 2 <room with the blinds, kitchen counter, table tennis table>"], "answer": "B) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> room with the box, surface, stairs -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, mirror, towel> to Region 2 <room with the sign, thermostat, smoke detector>?", "options": ["A) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the sign, thermostat, smoke detector>", "B) Region 1 <room with the ladder, mirror, towel> -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the sign, thermostat, smoke detector>", "C) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> Region 2 <room with the sign, thermostat, smoke detector>", "D) Region 1 <room with the ladder, mirror, towel> -> Region 2 <room with the sign, thermostat, smoke detector>"], "answer": "C) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> Region 2 <room with the sign, thermostat, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower dial, toilet, shower cabin> to Region 2 <room with the blinds, kitchen counter, table tennis table>?", "options": ["A) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the ladder, mirror, towel -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "B) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the sign, thermostat, smoke detector -> room with the ladder, mirror, towel -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "C) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "D) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the ladder, mirror, towel -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>"], "answer": "C) Region 1 <room with the shower dial, toilet, shower cabin> -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, mirror, towel> to Region 2 <room with the blinds, kitchen counter, table tennis table>?", "options": ["A) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "B) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "C) Region 1 <room with the ladder, mirror, towel> -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "D) Region 1 <room with the ladder, mirror, towel> -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>"], "answer": "B) Region 1 <room with the ladder, mirror, towel> -> room with the shower dial, toilet, shower cabin -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route4/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower seat, bathroom counter, shower rod> to Region 2 <room with the painting, sign, thermostat>?", "options": ["A) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the curtain rod, ladder, smoke detector -> room with the ladder, cabinet, mirror -> room with the towel ring, shower dial, shower cabin -> Region 2 <room with the painting, sign, thermostat>", "B) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the ladder, cabinet, mirror -> room with the towel ring, shower dial, shower cabin -> Region 2 <room with the painting, sign, thermostat>", "C) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the curtain rod, ladder, smoke detector -> Region 2 <room with the painting, sign, thermostat>", "D) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the ladder, cabinet, mirror -> room with the curtain rod, ladder, smoke detector -> room with the towel ring, shower dial, shower cabin -> Region 2 <room with the painting, sign, thermostat>"], "answer": "B) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the ladder, cabinet, mirror -> room with the towel ring, shower dial, shower cabin -> Region 2 <room with the painting, sign, thermostat>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, cabinet, mirror> to Region 2 <room with the curtain rod, ladder, smoke detector>?", "options": ["A) Region 1 <room with the ladder, cabinet, mirror> -> room with the towel ring, shower dial, shower cabin -> room with the painting, sign, thermostat -> room with the shower seat, bathroom counter, shower rod -> Region 2 <room with the curtain rod, ladder, smoke detector>", "B) Region 1 <room with the ladder, cabinet, mirror> -> room with the shower seat, bathroom counter, shower rod -> room with the painting, sign, thermostat -> room with the towel ring, shower dial, shower cabin -> Region 2 <room with the curtain rod, ladder, smoke detector>", "C) Region 1 <room with the ladder, cabinet, mirror> -> room with the towel ring, shower dial, shower cabin -> room with the painting, sign, thermostat -> Region 2 <room with the curtain rod, ladder, smoke detector>", "D) Region 1 <room with the ladder, cabinet, mirror> -> room with the painting, sign, thermostat -> room with the towel ring, shower dial, shower cabin -> Region 2 <room with the curtain rod, ladder, smoke detector>"], "answer": "C) Region 1 <room with the ladder, cabinet, mirror> -> room with the towel ring, shower dial, shower cabin -> room with the painting, sign, thermostat -> Region 2 <room with the curtain rod, ladder, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower seat, bathroom counter, shower rod> to Region 2 <room with the curtain rod, ladder, smoke detector>?", "options": ["A) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the towel ring, shower dial, shower cabin -> room with the painting, sign, thermostat -> Region 2 <room with the curtain rod, ladder, smoke detector>", "B) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the painting, sign, thermostat -> room with the towel ring, shower dial, shower cabin -> room with the ladder, cabinet, mirror -> Region 2 <room with the curtain rod, ladder, smoke detector>", "C) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the ladder, cabinet, mirror -> room with the towel ring, shower dial, shower cabin -> room with the painting, sign, thermostat -> Region 2 <room with the curtain rod, ladder, smoke detector>", "D) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the painting, sign, thermostat -> Region 2 <room with the curtain rod, ladder, smoke detector>"], "answer": "C) Region 1 <room with the shower seat, bathroom counter, shower rod> -> room with the ladder, cabinet, mirror -> room with the towel ring, shower dial, shower cabin -> room with the painting, sign, thermostat -> Region 2 <room with the curtain rod, ladder, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower floor, cosmetics, bathroom counter> to Region 2 <room with the shower dial, shower cabin, showerhead>?", "options": ["A) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> room with the smoke detector, device, sign -> Region 2 <room with the shower dial, shower cabin, showerhead>", "B) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the smoke detector, device, sign -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the shower dial, shower cabin, showerhead>", "C) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the shower dial, shower cabin, showerhead>", "D) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the smoke detector, device, sign -> Region 2 <room with the shower dial, shower cabin, showerhead>"], "answer": "C) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the shower dial, shower cabin, showerhead>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vacuum cleaner, ladder, cabinet> to Region 2 <room with the smoke detector, device, sign>?", "options": ["A) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower dial, shower cabin, showerhead -> room with the shower floor, cosmetics, bathroom counter -> Region 2 <room with the smoke detector, device, sign>", "B) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> Region 2 <room with the smoke detector, device, sign>", "C) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the smoke detector, device, sign>", "D) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower floor, cosmetics, bathroom counter -> Region 2 <room with the smoke detector, device, sign>"], "answer": "C) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the smoke detector, device, sign>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower floor, cosmetics, bathroom counter> to Region 2 <room with the smoke detector, device, sign>?", "options": ["A) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the smoke detector, device, sign>", "B) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the smoke detector, device, sign>", "C) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the smoke detector, device, sign>", "D) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the shower dial, shower cabin, showerhead -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the smoke detector, device, sign>"], "answer": "C) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the smoke detector, device, sign>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower floor, cosmetics, bathroom counter> to Region 2 <room with the shower dial, showerhead, toilet>?", "options": ["A) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the smoke detector, device, sign -> Region 2 <room with the shower dial, showerhead, toilet>", "B) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the shower dial, showerhead, toilet>", "C) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the smoke detector, device, sign -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the shower dial, showerhead, toilet>", "D) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> Region 2 <room with the shower dial, showerhead, toilet>"], "answer": "B) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the shower dial, showerhead, toilet>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vacuum cleaner, ladder, cabinet> to Region 2 <room with the smoke detector, device, sign>?", "options": ["A) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower dial, showerhead, toilet -> room with the shower floor, cosmetics, bathroom counter -> Region 2 <room with the smoke detector, device, sign>", "B) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower floor, cosmetics, bathroom counter -> Region 2 <room with the smoke detector, device, sign>", "C) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower dial, showerhead, toilet -> Region 2 <room with the smoke detector, device, sign>", "D) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower floor, cosmetics, bathroom counter -> room with the shower dial, showerhead, toilet -> Region 2 <room with the smoke detector, device, sign>"], "answer": "C) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower dial, showerhead, toilet -> Region 2 <room with the smoke detector, device, sign>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower floor, cosmetics, bathroom counter> to Region 2 <room with the smoke detector, device, sign>?", "options": ["A) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> Region 2 <room with the smoke detector, device, sign>", "B) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the shower dial, showerhead, toilet -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the smoke detector, device, sign>", "C) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> room with the shower dial, showerhead, toilet -> Region 2 <room with the smoke detector, device, sign>", "D) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the shower dial, showerhead, toilet -> Region 2 <room with the smoke detector, device, sign>"], "answer": "C) Region 1 <room with the shower floor, cosmetics, bathroom counter> -> room with the vacuum cleaner, ladder, cabinet -> room with the shower dial, showerhead, toilet -> Region 2 <room with the smoke detector, device, sign>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower floor, shower seat, toilet brush> to Region 2 <room with the shower dial, shower cabin, showerhead>?", "options": ["A) Region 1 <room with the shower floor, shower seat, toilet brush> -> room with the vacuum cleaner, ladder, cabinet -> room with the box, stairs, banister -> Region 2 <room with the shower dial, shower cabin, showerhead>", "B) Region 1 <room with the shower floor, shower seat, toilet brush> -> Region 2 <room with the shower dial, shower cabin, showerhead>", "C) Region 1 <room with the shower floor, shower seat, toilet brush> -> room with the box, stairs, banister -> Region 2 <room with the shower dial, shower cabin, showerhead>", "D) Region 1 <room with the shower floor, shower seat, toilet brush> -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the shower dial, shower cabin, showerhead>"], "answer": "D) Region 1 <room with the shower floor, shower seat, toilet brush> -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the shower dial, shower cabin, showerhead>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the vacuum cleaner, ladder, cabinet> to Region 2 <room with the box, stairs, banister>?", "options": ["A) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower dial, shower cabin, showerhead -> room with the shower floor, shower seat, toilet brush -> Region 2 <room with the box, stairs, banister>", "B) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the box, stairs, banister>", "C) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> Region 2 <room with the box, stairs, banister>", "D) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower floor, shower seat, toilet brush -> Region 2 <room with the box, stairs, banister>"], "answer": "B) Region 1 <room with the vacuum cleaner, ladder, cabinet> -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the box, stairs, banister>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower floor, shower seat, toilet brush> to Region 2 <room with the box, stairs, banister>?", "options": ["A) Region 1 <room with the shower floor, shower seat, toilet brush> -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the box, stairs, banister>", "B) Region 1 <room with the shower floor, shower seat, toilet brush> -> Region 2 <room with the box, stairs, banister>", "C) Region 1 <room with the shower floor, shower seat, toilet brush> -> room with the vacuum cleaner, ladder, cabinet -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the box, stairs, banister>", "D) Region 1 <room with the shower floor, shower seat, toilet brush> -> room with the shower dial, shower cabin, showerhead -> room with the vacuum cleaner, ladder, cabinet -> Region 2 <room with the box, stairs, banister>"], "answer": "C) Region 1 <room with the shower floor, shower seat, toilet brush> -> room with the vacuum cleaner, ladder, cabinet -> room with the shower dial, shower cabin, showerhead -> Region 2 <room with the box, stairs, banister>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower seat, cosmetics, bathroom counter> to Region 2 <room with the sign, thermostat, smoke detector>?", "options": ["A) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the blinds, kitchen counter, table tennis table -> room with the towel ring, shower dial, shower cabin -> room with the ladder, cabinet, bed -> Region 2 <room with the sign, thermostat, smoke detector>", "B) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the ladder, cabinet, bed -> room with the towel ring, shower dial, shower cabin -> Region 2 <room with the sign, thermostat, smoke detector>", "C) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the ladder, cabinet, bed -> Region 2 <room with the sign, thermostat, smoke detector>", "D) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the towel ring, shower dial, shower cabin -> room with the blinds, kitchen counter, table tennis table -> Region 2 <room with the sign, thermostat, smoke detector>"], "answer": "B) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the ladder, cabinet, bed -> room with the towel ring, shower dial, shower cabin -> Region 2 <room with the sign, thermostat, smoke detector>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ladder, cabinet, bed> to Region 2 <room with the blinds, kitchen counter, table tennis table>?", "options": ["A) Region 1 <room with the ladder, cabinet, bed> -> room with the towel ring, shower dial, shower cabin -> room with the shower seat, cosmetics, bathroom counter -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "B) Region 1 <room with the ladder, cabinet, bed> -> room with the towel ring, shower dial, shower cabin -> room with the shower seat, cosmetics, bathroom counter -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "C) Region 1 <room with the ladder, cabinet, bed> -> room with the towel ring, shower dial, shower cabin -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "D) Region 1 <room with the ladder, cabinet, bed> -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>"], "answer": "C) Region 1 <room with the ladder, cabinet, bed> -> room with the towel ring, shower dial, shower cabin -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the shower seat, cosmetics, bathroom counter> to Region 2 <room with the blinds, kitchen counter, table tennis table>?", "options": ["A) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the sign, thermostat, smoke detector -> room with the ladder, cabinet, bed -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "B) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the ladder, cabinet, bed -> room with the towel ring, shower dial, shower cabin -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "C) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the ladder, cabinet, bed -> room with the sign, thermostat, smoke detector -> room with the towel ring, shower dial, shower cabin -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "D) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>"], "answer": "B) Region 1 <room with the shower seat, cosmetics, bathroom counter> -> room with the ladder, cabinet, bed -> room with the towel ring, shower dial, shower cabin -> room with the sign, thermostat, smoke detector -> Region 2 <room with the blinds, kitchen counter, table tennis table>", "videos": ["dataset/habitat_data/route_plan/val/y9hTuugGdiq/route9/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/y9hTuugGdiq/route9/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, exit sign> to Region 2 <room with the picture, printer, desk clutter>?", "options": ["A) Region 1 <room with the trashcan, exit sign> -> Region 2 <room with the picture, printer, desk clutter>", "B) Region 1 <room with the trashcan, exit sign> -> room with the binder, board, shelf -> Region 2 <room with the picture, printer, desk clutter>", "C) Region 1 <room with the trashcan, exit sign> -> room with the sign, wall hanging decoration, fire extinguisher -> room with the binder, board, shelf -> Region 2 <room with the picture, printer, desk clutter>", "D) Region 1 <room with the trashcan, exit sign> -> room with the binder, board, shelf -> room with the sign, wall hanging decoration, fire extinguisher -> Region 2 <room with the picture, printer, desk clutter>"], "answer": "B) Region 1 <room with the trashcan, exit sign> -> room with the binder, board, shelf -> Region 2 <room with the picture, printer, desk clutter>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the binder, board, shelf> to Region 2 <room with the binder, board, shelf>?", "options": ["A) Region 1 <room with the binder, board, shelf> -> Region 2 <room with the binder, board, shelf>", "B) Region 1 <room with the binder, board, shelf> -> room with the picture, printer, desk clutter -> Region 2 <room with the binder, board, shelf>", "C) Region 1 <room with the binder, board, shelf> -> room with the trashcan, exit sign -> Region 2 <room with the binder, board, shelf>", "D) Region 1 <room with the binder, board, shelf> -> room with the picture, printer, desk clutter -> room with the trashcan, exit sign -> Region 2 <room with the binder, board, shelf>"], "answer": "B) Region 1 <room with the binder, board, shelf> -> room with the picture, printer, desk clutter -> Region 2 <room with the binder, board, shelf>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, exit sign> to Region 2 <room with the binder, board, shelf>?", "options": ["A) Region 1 <room with the trashcan, exit sign> -> room with the picture, printer, desk clutter -> Region 2 <room with the binder, board, shelf>", "B) Region 1 <room with the trashcan, exit sign> -> room with the binder, board, shelf -> room with the picture, printer, desk clutter -> Region 2 <room with the binder, board, shelf>", "C) Region 1 <room with the trashcan, exit sign> -> room with the picture, printer, desk clutter -> room with the binder, board, shelf -> Region 2 <room with the binder, board, shelf>", "D) Region 1 <room with the trashcan, exit sign> -> room with the binder, board, shelf -> Region 2 <room with the binder, board, shelf>"], "answer": "B) Region 1 <room with the trashcan, exit sign> -> room with the binder, board, shelf -> room with the picture, printer, desk clutter -> Region 2 <room with the binder, board, shelf>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, soap dispenser, umbrella> to Region 2 <room with the tv, brochure, table>?", "options": ["A) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the binder, shelf, board -> room with the tablet, jacket, case -> Region 2 <room with the tv, brochure, table>", "B) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> Region 2 <room with the tv, brochure, table>", "C) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> room with the binder, shelf, board -> Region 2 <room with the tv, brochure, table>", "D) Region 1 <room with the trashcan, soap dispenser, umbrella> -> Region 2 <room with the tv, brochure, table>"], "answer": "B) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> Region 2 <room with the tv, brochure, table>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tablet, jacket, case> to Region 2 <room with the tablet, jacket, case>?", "options": ["A) Region 1 <room with the tablet, jacket, case> -> room with the trashcan, soap dispenser, umbrella -> Region 2 <room with the tablet, jacket, case>", "B) Region 1 <room with the tablet, jacket, case> -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>", "C) Region 1 <room with the tablet, jacket, case> -> room with the trashcan, soap dispenser, umbrella -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>", "D) Region 1 <room with the tablet, jacket, case> -> room with the tv, brochure, table -> room with the trashcan, soap dispenser, umbrella -> Region 2 <room with the tablet, jacket, case>"], "answer": "B) Region 1 <room with the tablet, jacket, case> -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, soap dispenser, umbrella> to Region 2 <room with the tablet, jacket, case>?", "options": ["A) Region 1 <room with the trashcan, soap dispenser, umbrella> -> Region 2 <room with the tablet, jacket, case>", "B) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tv, brochure, table -> room with the tablet, jacket, case -> Region 2 <room with the tablet, jacket, case>", "C) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> Region 2 <room with the tablet, jacket, case>", "D) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>"], "answer": "D) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the binder, board, bin> to Region 2 <room with the couch, armchair, brochure>?", "options": ["A) Region 1 <room with the binder, board, bin> -> room with the window curtain, board, shelf -> Region 2 <room with the couch, armchair, brochure>", "B) Region 1 <room with the binder, board, bin> -> room with the tablet, floor mat, computer mouse -> Region 2 <room with the couch, armchair, brochure>", "C) Region 1 <room with the binder, board, bin> -> room with the window curtain, board, shelf -> room with the tablet, floor mat, computer mouse -> Region 2 <room with the couch, armchair, brochure>", "D) Region 1 <room with the binder, board, bin> -> Region 2 <room with the couch, armchair, brochure>"], "answer": "B) Region 1 <room with the binder, board, bin> -> room with the tablet, floor mat, computer mouse -> Region 2 <room with the couch, armchair, brochure>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tablet, floor mat, computer mouse> to Region 2 <room with the tablet, floor mat, computer mouse>?", "options": ["A) Region 1 <room with the tablet, floor mat, computer mouse> -> room with the binder, board, bin -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, floor mat, computer mouse>", "B) Region 1 <room with the tablet, floor mat, computer mouse> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, floor mat, computer mouse>", "C) Region 1 <room with the tablet, floor mat, computer mouse> -> Region 2 <room with the tablet, floor mat, computer mouse>", "D) Region 1 <room with the tablet, floor mat, computer mouse> -> room with the couch, armchair, brochure -> room with the binder, board, bin -> Region 2 <room with the tablet, floor mat, computer mouse>"], "answer": "B) Region 1 <room with the tablet, floor mat, computer mouse> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, floor mat, computer mouse>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the binder, board, bin> to Region 2 <room with the tablet, floor mat, computer mouse>?", "options": ["A) Region 1 <room with the binder, board, bin> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, floor mat, computer mouse>", "B) Region 1 <room with the binder, board, bin> -> room with the couch, armchair, brochure -> room with the tablet, floor mat, computer mouse -> Region 2 <room with the tablet, floor mat, computer mouse>", "C) Region 1 <room with the binder, board, bin> -> room with the tablet, floor mat, computer mouse -> Region 2 <room with the tablet, floor mat, computer mouse>", "D) Region 1 <room with the binder, board, bin> -> room with the tablet, floor mat, computer mouse -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, floor mat, computer mouse>"], "answer": "D) Region 1 <room with the binder, board, bin> -> room with the tablet, floor mat, computer mouse -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, floor mat, computer mouse>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, brochure, table> to Region 2 <room with the magazine, basket, tap>?", "options": ["A) Region 1 <room with the tv, brochure, table> -> room with the tablet, jacket, case -> Region 2 <room with the magazine, basket, tap>", "B) Region 1 <room with the tv, brochure, table> -> Region 2 <room with the magazine, basket, tap>", "C) Region 1 <room with the tv, brochure, table> -> room with the umbrella, trashcan, soap dispenser -> room with the tablet, jacket, case -> Region 2 <room with the magazine, basket, tap>", "D) Region 1 <room with the tv, brochure, table> -> room with the umbrella, trashcan, soap dispenser -> Region 2 <room with the magazine, basket, tap>"], "answer": "A) Region 1 <room with the tv, brochure, table> -> room with the tablet, jacket, case -> Region 2 <room with the magazine, basket, tap>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tablet, jacket, case> to Region 2 <room with the tablet, jacket, case>?", "options": ["A) Region 1 <room with the tablet, jacket, case> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "B) Region 1 <room with the tablet, jacket, case> -> room with the tv, brochure, table -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "C) Region 1 <room with the tablet, jacket, case> -> Region 2 <room with the tablet, jacket, case>", "D) Region 1 <room with the tablet, jacket, case> -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>"], "answer": "A) Region 1 <room with the tablet, jacket, case> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, brochure, table> to Region 2 <room with the tablet, jacket, case>?", "options": ["A) Region 1 <room with the tv, brochure, table> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "B) Region 1 <room with the tv, brochure, table> -> room with the tablet, jacket, case -> Region 2 <room with the tablet, jacket, case>", "C) Region 1 <room with the tv, brochure, table> -> room with the tablet, jacket, case -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "D) Region 1 <room with the tv, brochure, table> -> room with the magazine, basket, tap -> room with the tablet, jacket, case -> Region 2 <room with the tablet, jacket, case>"], "answer": "C) Region 1 <room with the tv, brochure, table> -> room with the tablet, jacket, case -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route11/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, brochure, table> to Region 2 <room with the couch, armchair, brochure>?", "options": ["A) Region 1 <room with the tv, brochure, table> -> room with the tablet, computer mouse, jacket -> Region 2 <room with the couch, armchair, brochure>", "B) Region 1 <room with the tv, brochure, table> -> room with the rack, bin, shelf with clutter -> room with the tablet, computer mouse, jacket -> Region 2 <room with the couch, armchair, brochure>", "C) Region 1 <room with the tv, brochure, table> -> room with the tablet, computer mouse, jacket -> room with the rack, bin, shelf with clutter -> Region 2 <room with the couch, armchair, brochure>", "D) Region 1 <room with the tv, brochure, table> -> room with the rack, bin, shelf with clutter -> Region 2 <room with the couch, armchair, brochure>"], "answer": "A) Region 1 <room with the tv, brochure, table> -> room with the tablet, computer mouse, jacket -> Region 2 <room with the couch, armchair, brochure>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tablet, computer mouse, jacket> to Region 2 <room with the tablet, computer mouse, jacket>?", "options": ["A) Region 1 <room with the tablet, computer mouse, jacket> -> Region 2 <room with the tablet, computer mouse, jacket>", "B) Region 1 <room with the tablet, computer mouse, jacket> -> room with the tv, brochure, table -> Region 2 <room with the tablet, computer mouse, jacket>", "C) Region 1 <room with the tablet, computer mouse, jacket> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, computer mouse, jacket>", "D) Region 1 <room with the tablet, computer mouse, jacket> -> room with the tv, brochure, table -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, computer mouse, jacket>"], "answer": "C) Region 1 <room with the tablet, computer mouse, jacket> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, computer mouse, jacket>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, brochure, table> to Region 2 <room with the tablet, computer mouse, jacket>?", "options": ["A) Region 1 <room with the tv, brochure, table> -> room with the tablet, computer mouse, jacket -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, computer mouse, jacket>", "B) Region 1 <room with the tv, brochure, table> -> room with the tablet, computer mouse, jacket -> Region 2 <room with the tablet, computer mouse, jacket>", "C) Region 1 <room with the tv, brochure, table> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, computer mouse, jacket>", "D) Region 1 <room with the tv, brochure, table> -> Region 2 <room with the tablet, computer mouse, jacket>"], "answer": "A) Region 1 <room with the tv, brochure, table> -> room with the tablet, computer mouse, jacket -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, computer mouse, jacket>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the magazine, basket, tap> to Region 2 <room with the couch, armchair, brochure>?", "options": ["A) Region 1 <room with the magazine, basket, tap> -> room with the trashcan, exit sign, lamp -> Region 2 <room with the couch, armchair, brochure>", "B) Region 1 <room with the magazine, basket, tap> -> room with the tablet, jacket, diploma -> Region 2 <room with the couch, armchair, brochure>", "C) Region 1 <room with the magazine, basket, tap> -> room with the tablet, jacket, diploma -> room with the trashcan, exit sign, lamp -> Region 2 <room with the couch, armchair, brochure>", "D) Region 1 <room with the magazine, basket, tap> -> room with the trashcan, exit sign, lamp -> room with the tablet, jacket, diploma -> Region 2 <room with the couch, armchair, brochure>"], "answer": "B) Region 1 <room with the magazine, basket, tap> -> room with the tablet, jacket, diploma -> Region 2 <room with the couch, armchair, brochure>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route13/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tablet, jacket, diploma> to Region 2 <room with the tablet, jacket, diploma>?", "options": ["A) Region 1 <room with the tablet, jacket, diploma> -> Region 2 <room with the tablet, jacket, diploma>", "B) Region 1 <room with the tablet, jacket, diploma> -> room with the magazine, basket, tap -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, jacket, diploma>", "C) Region 1 <room with the tablet, jacket, diploma> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, diploma>", "D) Region 1 <room with the tablet, jacket, diploma> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, jacket, diploma>"], "answer": "D) Region 1 <room with the tablet, jacket, diploma> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, jacket, diploma>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route13/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the magazine, basket, tap> to Region 2 <room with the tablet, jacket, diploma>?", "options": ["A) Region 1 <room with the magazine, basket, tap> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, jacket, diploma>", "B) Region 1 <room with the magazine, basket, tap> -> Region 2 <room with the tablet, jacket, diploma>", "C) Region 1 <room with the magazine, basket, tap> -> room with the tablet, jacket, diploma -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, jacket, diploma>", "D) Region 1 <room with the magazine, basket, tap> -> room with the couch, armchair, brochure -> room with the tablet, jacket, diploma -> Region 2 <room with the tablet, jacket, diploma>"], "answer": "C) Region 1 <room with the magazine, basket, tap> -> room with the tablet, jacket, diploma -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, jacket, diploma>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route13/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route13/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, soap dispenser, umbrella> to Region 2 <room with the magazine, basket, tap>?", "options": ["A) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the window shutter, board, clutter -> room with the tablet, jacket, case -> Region 2 <room with the magazine, basket, tap>", "B) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the window shutter, board, clutter -> Region 2 <room with the magazine, basket, tap>", "C) Region 1 <room with the trashcan, soap dispenser, umbrella> -> Region 2 <room with the magazine, basket, tap>", "D) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> Region 2 <room with the magazine, basket, tap>"], "answer": "D) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> Region 2 <room with the magazine, basket, tap>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tablet, jacket, case> to Region 2 <room with the tablet, jacket, case>?", "options": ["A) Region 1 <room with the tablet, jacket, case> -> room with the trashcan, soap dispenser, umbrella -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "B) Region 1 <room with the tablet, jacket, case> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "C) Region 1 <room with the tablet, jacket, case> -> Region 2 <room with the tablet, jacket, case>", "D) Region 1 <room with the tablet, jacket, case> -> room with the magazine, basket, tap -> room with the trashcan, soap dispenser, umbrella -> Region 2 <room with the tablet, jacket, case>"], "answer": "B) Region 1 <room with the tablet, jacket, case> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, soap dispenser, umbrella> to Region 2 <room with the tablet, jacket, case>?", "options": ["A) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "B) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> Region 2 <room with the tablet, jacket, case>", "C) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the magazine, basket, tap -> room with the tablet, jacket, case -> Region 2 <room with the tablet, jacket, case>", "D) Region 1 <room with the trashcan, soap dispenser, umbrella> -> Region 2 <room with the tablet, jacket, case>"], "answer": "A) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, jacket, case -> room with the magazine, basket, tap -> Region 2 <room with the tablet, jacket, case>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, soap dispenser, umbrella> to Region 2 <room with the couch, armchair, brochure>?", "options": ["A) Region 1 <room with the trashcan, soap dispenser, umbrella> -> Region 2 <room with the couch, armchair, brochure>", "B) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the window shutter, rack, board -> room with the tablet, case, stairs -> Region 2 <room with the couch, armchair, brochure>", "C) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the window shutter, rack, board -> Region 2 <room with the couch, armchair, brochure>", "D) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, case, stairs -> Region 2 <room with the couch, armchair, brochure>"], "answer": "D) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, case, stairs -> Region 2 <room with the couch, armchair, brochure>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tablet, case, stairs> to Region 2 <room with the tablet, case, stairs>?", "options": ["A) Region 1 <room with the tablet, case, stairs> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, case, stairs>", "B) Region 1 <room with the tablet, case, stairs> -> room with the trashcan, soap dispenser, umbrella -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, case, stairs>", "C) Region 1 <room with the tablet, case, stairs> -> Region 2 <room with the tablet, case, stairs>", "D) Region 1 <room with the tablet, case, stairs> -> room with the couch, armchair, brochure -> room with the trashcan, soap dispenser, umbrella -> Region 2 <room with the tablet, case, stairs>"], "answer": "A) Region 1 <room with the tablet, case, stairs> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, case, stairs>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the trashcan, soap dispenser, umbrella> to Region 2 <room with the tablet, case, stairs>?", "options": ["A) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, case, stairs -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, case, stairs>", "B) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, case, stairs -> Region 2 <room with the tablet, case, stairs>", "C) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, case, stairs>", "D) Region 1 <room with the trashcan, soap dispenser, umbrella> -> Region 2 <room with the tablet, case, stairs>"], "answer": "A) Region 1 <room with the trashcan, soap dispenser, umbrella> -> room with the tablet, case, stairs -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, case, stairs>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route3/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stack of papers, armchair, desk> to Region 2 <room with the tablet, jacket, diploma>?", "options": ["A) Region 1 <room with the stack of papers, armchair, desk> -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, jacket, diploma>", "B) Region 1 <room with the stack of papers, armchair, desk> -> room with the board, shelf, clutter -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, jacket, diploma>", "C) Region 1 <room with the stack of papers, armchair, desk> -> room with the board, shelf, clutter -> Region 2 <room with the tablet, jacket, diploma>", "D) Region 1 <room with the stack of papers, armchair, desk> -> room with the couch, armchair, brochure -> room with the board, shelf, clutter -> Region 2 <room with the tablet, jacket, diploma>"], "answer": "C) Region 1 <room with the stack of papers, armchair, desk> -> room with the board, shelf, clutter -> Region 2 <room with the tablet, jacket, diploma>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route4/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the board, shelf, clutter> to Region 2 <room with the couch, armchair, brochure>?", "options": ["A) Region 1 <room with the board, shelf, clutter> -> room with the stack of papers, armchair, desk -> Region 2 <room with the couch, armchair, brochure>", "B) Region 1 <room with the board, shelf, clutter> -> Region 2 <room with the couch, armchair, brochure>", "C) Region 1 <room with the board, shelf, clutter> -> room with the tablet, jacket, diploma -> Region 2 <room with the couch, armchair, brochure>", "D) Region 1 <room with the board, shelf, clutter> -> room with the tablet, jacket, diploma -> room with the stack of papers, armchair, desk -> Region 2 <room with the couch, armchair, brochure>"], "answer": "C) Region 1 <room with the board, shelf, clutter> -> room with the tablet, jacket, diploma -> Region 2 <room with the couch, armchair, brochure>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route4/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stack of papers, armchair, desk> to Region 2 <room with the couch, armchair, brochure>?", "options": ["A) Region 1 <room with the stack of papers, armchair, desk> -> room with the board, shelf, clutter -> Region 2 <room with the couch, armchair, brochure>", "B) Region 1 <room with the stack of papers, armchair, desk> -> room with the tablet, jacket, diploma -> room with the board, shelf, clutter -> Region 2 <room with the couch, armchair, brochure>", "C) Region 1 <room with the stack of papers, armchair, desk> -> Region 2 <room with the couch, armchair, brochure>", "D) Region 1 <room with the stack of papers, armchair, desk> -> room with the board, shelf, clutter -> room with the tablet, jacket, diploma -> Region 2 <room with the couch, armchair, brochure>"], "answer": "D) Region 1 <room with the stack of papers, armchair, desk> -> room with the board, shelf, clutter -> room with the tablet, jacket, diploma -> Region 2 <room with the couch, armchair, brochure>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route4/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route4/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the picture, armchair, shelf> to Region 2 <room with the tablet, floor mat, jacket>?", "options": ["A) None", "B) Region 1 <room with the picture, armchair, shelf> -> room with the binder, board, bin -> Region 2 <room with the tablet, floor mat, jacket>", "C) Region 1 <room with the picture, armchair, shelf> -> Region 2 <room with the tablet, floor mat, jacket>", "D) None"], "answer": "B) Region 1 <room with the picture, armchair, shelf> -> room with the binder, board, bin -> Region 2 <room with the tablet, floor mat, jacket>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route5/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route5/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, vase, box> to Region 2 <room with the tablet, floor mat, jacket>?", "options": ["A) Region 1 <room with the desk, vase, box> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, floor mat, jacket>", "B) Region 1 <room with the desk, vase, box> -> room with the binder, board, shelf -> Region 2 <room with the tablet, floor mat, jacket>", "C) Region 1 <room with the desk, vase, box> -> room with the binder, board, shelf -> room with the magazine, basket, tap -> Region 2 <room with the tablet, floor mat, jacket>", "D) Region 1 <room with the desk, vase, box> -> room with the magazine, basket, tap -> room with the binder, board, shelf -> Region 2 <room with the tablet, floor mat, jacket>"], "answer": "B) Region 1 <room with the desk, vase, box> -> room with the binder, board, shelf -> Region 2 <room with the tablet, floor mat, jacket>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the binder, board, shelf> to Region 2 <room with the magazine, basket, tap>?", "options": ["A) Region 1 <room with the binder, board, shelf> -> Region 2 <room with the magazine, basket, tap>", "B) Region 1 <room with the binder, board, shelf> -> room with the desk, vase, box -> room with the tablet, floor mat, jacket -> Region 2 <room with the magazine, basket, tap>", "C) Region 1 <room with the binder, board, shelf> -> room with the tablet, floor mat, jacket -> Region 2 <room with the magazine, basket, tap>", "D) Region 1 <room with the binder, board, shelf> -> room with the tablet, floor mat, jacket -> room with the desk, vase, box -> Region 2 <room with the magazine, basket, tap>"], "answer": "C) Region 1 <room with the binder, board, shelf> -> room with the tablet, floor mat, jacket -> Region 2 <room with the magazine, basket, tap>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the desk, vase, box> to Region 2 <room with the magazine, basket, tap>?", "options": ["A) Region 1 <room with the desk, vase, box> -> room with the binder, board, shelf -> room with the tablet, floor mat, jacket -> Region 2 <room with the magazine, basket, tap>", "B) Region 1 <room with the desk, vase, box> -> room with the tablet, floor mat, jacket -> Region 2 <room with the magazine, basket, tap>", "C) Region 1 <room with the desk, vase, box> -> room with the binder, board, shelf -> Region 2 <room with the magazine, basket, tap>", "D) Region 1 <room with the desk, vase, box> -> room with the tablet, floor mat, jacket -> room with the binder, board, shelf -> Region 2 <room with the magazine, basket, tap>"], "answer": "A) Region 1 <room with the desk, vase, box> -> room with the binder, board, shelf -> room with the tablet, floor mat, jacket -> Region 2 <room with the magazine, basket, tap>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the picture, armchair, shelf> to Region 2 <room with the tablet, floor mat, jacket>?", "options": ["A) Region 1 <room with the picture, armchair, shelf> -> room with the binder, board, bin -> Region 2 <room with the tablet, floor mat, jacket>", "B) Region 1 <room with the picture, armchair, shelf> -> room with the binder, board, bin -> room with the couch, armchair, brochure -> Region 2 <room with the tablet, floor mat, jacket>", "C) Region 1 <room with the picture, armchair, shelf> -> room with the couch, armchair, brochure -> room with the binder, board, bin -> Region 2 <room with the tablet, floor mat, jacket>", "D) Region 1 <room with the picture, armchair, shelf> -> Region 2 <room with the tablet, floor mat, jacket>"], "answer": "A) Region 1 <room with the picture, armchair, shelf> -> room with the binder, board, bin -> Region 2 <room with the tablet, floor mat, jacket>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the binder, board, bin> to Region 2 <room with the couch, armchair, brochure>?", "options": ["A) Region 1 <room with the binder, board, bin> -> Region 2 <room with the couch, armchair, brochure>", "B) Region 1 <room with the binder, board, bin> -> room with the picture, armchair, shelf -> Region 2 <room with the couch, armchair, brochure>", "C) Region 1 <room with the binder, board, bin> -> room with the tablet, floor mat, jacket -> room with the picture, armchair, shelf -> Region 2 <room with the couch, armchair, brochure>", "D) Region 1 <room with the binder, board, bin> -> room with the tablet, floor mat, jacket -> Region 2 <room with the couch, armchair, brochure>"], "answer": "D) Region 1 <room with the binder, board, bin> -> room with the tablet, floor mat, jacket -> Region 2 <room with the couch, armchair, brochure>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the picture, armchair, shelf> to Region 2 <room with the couch, armchair, brochure>?", "options": ["A) Region 1 <room with the picture, armchair, shelf> -> room with the tablet, floor mat, jacket -> Region 2 <room with the couch, armchair, brochure>", "B) Region 1 <room with the picture, armchair, shelf> -> room with the binder, board, bin -> room with the tablet, floor mat, jacket -> Region 2 <room with the couch, armchair, brochure>", "C) Region 1 <room with the picture, armchair, shelf> -> Region 2 <room with the couch, armchair, brochure>", "D) Region 1 <room with the picture, armchair, shelf> -> room with the binder, board, bin -> Region 2 <room with the couch, armchair, brochure>"], "answer": "B) Region 1 <room with the picture, armchair, shelf> -> room with the binder, board, bin -> room with the tablet, floor mat, jacket -> Region 2 <room with the couch, armchair, brochure>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route7/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route7/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the binder, board, bin> to Region 2 <room with the tv, brochure, table>?", "options": ["A) Region 1 <room with the binder, board, bin> -> Region 2 <room with the tv, brochure, table>", "B) Region 1 <room with the binder, board, bin> -> room with the tablet, jacket, case -> Region 2 <room with the tv, brochure, table>", "C) Region 1 <room with the binder, board, bin> -> room with the rack, vase, box -> Region 2 <room with the tv, brochure, table>", "D) Region 1 <room with the binder, board, bin> -> room with the tablet, jacket, case -> room with the rack, vase, box -> Region 2 <room with the tv, brochure, table>"], "answer": "B) Region 1 <room with the binder, board, bin> -> room with the tablet, jacket, case -> Region 2 <room with the tv, brochure, table>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tablet, jacket, case> to Region 2 <room with the tablet, jacket, case>?", "options": ["A) Region 1 <room with the tablet, jacket, case> -> room with the tv, brochure, table -> room with the binder, board, bin -> Region 2 <room with the tablet, jacket, case>", "B) Region 1 <room with the tablet, jacket, case> -> room with the binder, board, bin -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>", "C) Region 1 <room with the tablet, jacket, case> -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>", "D) Region 1 <room with the tablet, jacket, case> -> Region 2 <room with the tablet, jacket, case>"], "answer": "C) Region 1 <room with the tablet, jacket, case> -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the binder, board, bin> to Region 2 <room with the tablet, jacket, case>?", "options": ["A) Region 1 <room with the binder, board, bin> -> room with the tablet, jacket, case -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>", "B) Region 1 <room with the binder, board, bin> -> Region 2 <room with the tablet, jacket, case>", "C) Region 1 <room with the binder, board, bin> -> room with the tablet, jacket, case -> Region 2 <room with the tablet, jacket, case>", "D) Region 1 <room with the binder, board, bin> -> room with the tv, brochure, table -> room with the tablet, jacket, case -> Region 2 <room with the tablet, jacket, case>"], "answer": "A) Region 1 <room with the binder, board, bin> -> room with the tablet, jacket, case -> room with the tv, brochure, table -> Region 2 <room with the tablet, jacket, case>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route8/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route8/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the binder, board, clutter> to Region 2 <room with the magazine, basket, tap>?", "options": ["A) Region 1 <room with the binder, board, clutter> -> room with the rack, vase, partition -> Region 2 <room with the magazine, basket, tap>", "B) Region 1 <room with the binder, board, clutter> -> room with the rack, vase, partition -> room with the tablet, fire extinguisher, jacket -> Region 2 <room with the magazine, basket, tap>", "C) Region 1 <room with the binder, board, clutter> -> room with the tablet, fire extinguisher, jacket -> room with the rack, vase, partition -> Region 2 <room with the magazine, basket, tap>", "D) Region 1 <room with the binder, board, clutter> -> room with the tablet, fire extinguisher, jacket -> Region 2 <room with the magazine, basket, tap>"], "answer": "D) Region 1 <room with the binder, board, clutter> -> room with the tablet, fire extinguisher, jacket -> Region 2 <room with the magazine, basket, tap>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tablet, fire extinguisher, jacket> to Region 2 <room with the tablet, fire extinguisher, jacket>?", "options": ["A) Region 1 <room with the tablet, fire extinguisher, jacket> -> room with the binder, board, clutter -> Region 2 <room with the tablet, fire extinguisher, jacket>", "B) Region 1 <room with the tablet, fire extinguisher, jacket> -> room with the magazine, basket, tap -> room with the binder, board, clutter -> Region 2 <room with the tablet, fire extinguisher, jacket>", "C) Region 1 <room with the tablet, fire extinguisher, jacket> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, fire extinguisher, jacket>", "D) Region 1 <room with the tablet, fire extinguisher, jacket> -> Region 2 <room with the tablet, fire extinguisher, jacket>"], "answer": "C) Region 1 <room with the tablet, fire extinguisher, jacket> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, fire extinguisher, jacket>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the binder, board, clutter> to Region 2 <room with the tablet, fire extinguisher, jacket>?", "options": ["A) Region 1 <room with the binder, board, clutter> -> room with the tablet, fire extinguisher, jacket -> room with the magazine, basket, tap -> Region 2 <room with the tablet, fire extinguisher, jacket>", "B) Region 1 <room with the binder, board, clutter> -> room with the tablet, fire extinguisher, jacket -> Region 2 <room with the tablet, fire extinguisher, jacket>", "C) Region 1 <room with the binder, board, clutter> -> room with the magazine, basket, tap -> Region 2 <room with the tablet, fire extinguisher, jacket>", "D) Region 1 <room with the binder, board, clutter> -> room with the magazine, basket, tap -> room with the tablet, fire extinguisher, jacket -> Region 2 <room with the tablet, fire extinguisher, jacket>"], "answer": "A) Region 1 <room with the binder, board, clutter> -> room with the tablet, fire extinguisher, jacket -> room with the magazine, basket, tap -> Region 2 <room with the tablet, fire extinguisher, jacket>", "videos": ["dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/yr17PDCnDDW/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, sign> to Region 2 <room with the air conditioner, rug, thermostat>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the bathtub platform, bathtub, hook -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the air conditioner, rug, thermostat>", "B) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the light, picture, chest of drawers -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the air conditioner, rug, thermostat>", "C) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the light, picture, chest of drawers -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the air conditioner, rug, thermostat>", "D) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the light, picture, chest of drawers -> Region 2 <room with the air conditioner, rug, thermostat>"], "answer": "A) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the bathtub platform, bathtub, hook -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the air conditioner, rug, thermostat>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, bathtub, hook> to Region 2 <room with the light, picture, chest of drawers>?", "options": ["A) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the bath mat, shower curtain rod, sign -> Region 2 <room with the light, picture, chest of drawers>", "B) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the air conditioner, rug, thermostat -> Region 2 <room with the light, picture, chest of drawers>", "C) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the cabinet, fire alarm, ceiling fan -> room with the bath mat, shower curtain rod, sign -> Region 2 <room with the light, picture, chest of drawers>", "D) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the cabinet, fire alarm, ceiling fan -> room with the air conditioner, rug, thermostat -> Region 2 <room with the light, picture, chest of drawers>"], "answer": "D) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the cabinet, fire alarm, ceiling fan -> room with the air conditioner, rug, thermostat -> Region 2 <room with the light, picture, chest of drawers>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, sign> to Region 2 <room with the light, picture, chest of drawers>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the cabinet, fire alarm, ceiling fan -> room with the air conditioner, rug, thermostat -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the light, picture, chest of drawers>", "B) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the air conditioner, rug, thermostat -> room with the cabinet, fire alarm, ceiling fan -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the light, picture, chest of drawers>", "C) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the cabinet, fire alarm, ceiling fan -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the light, picture, chest of drawers>", "D) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the bathtub platform, bathtub, hook -> room with the cabinet, fire alarm, ceiling fan -> room with the air conditioner, rug, thermostat -> Region 2 <room with the light, picture, chest of drawers>"], "answer": "D) Region 1 <room with the bath mat, shower curtain rod, sign> -> room with the bathtub platform, bathtub, hook -> room with the cabinet, fire alarm, ceiling fan -> room with the air conditioner, rug, thermostat -> Region 2 <room with the light, picture, chest of drawers>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route0/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the plant, bath mat, shower curtain rod> to Region 2 <room with the cabinet, fire alarm, ceiling fan>?", "options": ["A) Region 1 <room with the plant, bath mat, shower curtain rod> -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the cabinet, fire alarm, ceiling fan>", "B) Region 1 <room with the plant, bath mat, shower curtain rod> -> Region 2 <room with the cabinet, fire alarm, ceiling fan>", "C) Region 1 <room with the plant, bath mat, shower curtain rod> -> room with the bathtub platform, shower valve, bathtub -> room with the rug, air conditioner, thermostat -> Region 2 <room with the cabinet, fire alarm, ceiling fan>", "D) Region 1 <room with the plant, bath mat, shower curtain rod> -> room with the rug, air conditioner, thermostat -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the cabinet, fire alarm, ceiling fan>"], "answer": "A) Region 1 <room with the plant, bath mat, shower curtain rod> -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the cabinet, fire alarm, ceiling fan>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, shower valve, bathtub> to Region 2 <room with the rug, air conditioner, thermostat>?", "options": ["A) Region 1 <room with the bathtub platform, shower valve, bathtub> -> Region 2 <room with the rug, air conditioner, thermostat>", "B) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the plant, bath mat, shower curtain rod -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the rug, air conditioner, thermostat>", "C) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, ceiling fan -> room with the plant, bath mat, shower curtain rod -> Region 2 <room with the rug, air conditioner, thermostat>", "D) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the rug, air conditioner, thermostat>"], "answer": "D) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the rug, air conditioner, thermostat>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the plant, bath mat, shower curtain rod> to Region 2 <room with the rug, air conditioner, thermostat>?", "options": ["A) Region 1 <room with the plant, bath mat, shower curtain rod> -> Region 2 <room with the rug, air conditioner, thermostat>", "B) Region 1 <room with the plant, bath mat, shower curtain rod> -> room with the bathtub platform, shower valve, bathtub -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the rug, air conditioner, thermostat>", "C) Region 1 <room with the plant, bath mat, shower curtain rod> -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the rug, air conditioner, thermostat>", "D) Region 1 <room with the plant, bath mat, shower curtain rod> -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the rug, air conditioner, thermostat>"], "answer": "B) Region 1 <room with the plant, bath mat, shower curtain rod> -> room with the bathtub platform, shower valve, bathtub -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the rug, air conditioner, thermostat>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route1/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, shower valve, bathtub> to Region 2 <room with the rug, air conditioner, thermostat>?", "options": ["A) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the rug, air conditioner, thermostat>", "B) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the decoration, blanket, light fixture -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the rug, air conditioner, thermostat>", "C) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, ceiling fan -> room with the decoration, blanket, light fixture -> Region 2 <room with the rug, air conditioner, thermostat>", "D) Region 1 <room with the bathtub platform, shower valve, bathtub> -> Region 2 <room with the rug, air conditioner, thermostat>"], "answer": "A) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the rug, air conditioner, thermostat>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, fire alarm, ceiling fan> to Region 2 <room with the decoration, blanket, light fixture>?", "options": ["A) Region 1 <room with the cabinet, fire alarm, ceiling fan> -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the decoration, blanket, light fixture>", "B) Region 1 <room with the cabinet, fire alarm, ceiling fan> -> room with the rug, air conditioner, thermostat -> Region 2 <room with the decoration, blanket, light fixture>", "C) Region 1 <room with the cabinet, fire alarm, ceiling fan> -> room with the bathtub platform, shower valve, bathtub -> room with the rug, air conditioner, thermostat -> Region 2 <room with the decoration, blanket, light fixture>", "D) Region 1 <room with the cabinet, fire alarm, ceiling fan> -> Region 2 <room with the decoration, blanket, light fixture>"], "answer": "B) Region 1 <room with the cabinet, fire alarm, ceiling fan> -> room with the rug, air conditioner, thermostat -> Region 2 <room with the decoration, blanket, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, shower valve, bathtub> to Region 2 <room with the decoration, blanket, light fixture>?", "options": ["A) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, ceiling fan -> room with the rug, air conditioner, thermostat -> Region 2 <room with the decoration, blanket, light fixture>", "B) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the decoration, blanket, light fixture>", "C) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the rug, air conditioner, thermostat -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the decoration, blanket, light fixture>", "D) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the rug, air conditioner, thermostat -> Region 2 <room with the decoration, blanket, light fixture>"], "answer": "A) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, ceiling fan -> room with the rug, air conditioner, thermostat -> Region 2 <room with the decoration, blanket, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route10/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the showerhead, shower valve, bathroom counter> to Region 2 <room with the decoration, blanket, nightstand>?", "options": ["A) Region 1 <room with the showerhead, shower valve, bathroom counter> -> Region 2 <room with the decoration, blanket, nightstand>", "B) Region 1 <room with the showerhead, shower valve, bathroom counter> -> room with the dog bed, kitchen island, christmas tree -> room with the fire alarm, book, cabinet -> Region 2 <room with the decoration, blanket, nightstand>", "C) Region 1 <room with the showerhead, shower valve, bathroom counter> -> room with the fire alarm, book, cabinet -> room with the rug, light fixture, mirror -> Region 2 <room with the decoration, blanket, nightstand>", "D) Region 1 <room with the showerhead, shower valve, bathroom counter> -> room with the dog bed, kitchen island, christmas tree -> room with the fire alarm, book, cabinet -> room with the rug, light fixture, mirror -> Region 2 <room with the decoration, blanket, nightstand>"], "answer": "C) Region 1 <room with the showerhead, shower valve, bathroom counter> -> room with the fire alarm, book, cabinet -> room with the rug, light fixture, mirror -> Region 2 <room with the decoration, blanket, nightstand>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fire alarm, book, cabinet> to Region 2 <room with the dog bed, kitchen island, christmas tree>?", "options": ["A) Region 1 <room with the fire alarm, book, cabinet> -> room with the showerhead, shower valve, bathroom counter -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "B) Region 1 <room with the fire alarm, book, cabinet> -> room with the rug, light fixture, mirror -> room with the decoration, blanket, nightstand -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "C) Region 1 <room with the fire alarm, book, cabinet> -> room with the decoration, blanket, nightstand -> room with the showerhead, shower valve, bathroom counter -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "D) Region 1 <room with the fire alarm, book, cabinet> -> room with the showerhead, shower valve, bathroom counter -> room with the rug, light fixture, mirror -> room with the decoration, blanket, nightstand -> Region 2 <room with the dog bed, kitchen island, christmas tree>"], "answer": "B) Region 1 <room with the fire alarm, book, cabinet> -> room with the rug, light fixture, mirror -> room with the decoration, blanket, nightstand -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the showerhead, shower valve, bathroom counter> to Region 2 <room with the dog bed, kitchen island, christmas tree>?", "options": ["A) Region 1 <room with the showerhead, shower valve, bathroom counter> -> room with the rug, light fixture, mirror -> room with the decoration, blanket, nightstand -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "B) Region 1 <room with the showerhead, shower valve, bathroom counter> -> room with the fire alarm, book, cabinet -> room with the decoration, blanket, nightstand -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "C) Region 1 <room with the showerhead, shower valve, bathroom counter> -> room with the fire alarm, book, cabinet -> room with the rug, light fixture, mirror -> room with the decoration, blanket, nightstand -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "D) Region 1 <room with the showerhead, shower valve, bathroom counter> -> room with the fire alarm, book, cabinet -> room with the rug, light fixture, mirror -> Region 2 <room with the dog bed, kitchen island, christmas tree>"], "answer": "C) Region 1 <room with the showerhead, shower valve, bathroom counter> -> room with the fire alarm, book, cabinet -> room with the rug, light fixture, mirror -> room with the decoration, blanket, nightstand -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the showerhead, shower valve, bathroom cabinet> to Region 2 <room with the decoration, blanket, curtain rod>?", "options": ["A) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> room with the fire alarm, remote control, book -> room with the blinds, cabinet, ornament -> room with the air conditioner, light fixture, rug -> Region 2 <room with the decoration, blanket, curtain rod>", "B) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> Region 2 <room with the decoration, blanket, curtain rod>", "C) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> room with the fire alarm, remote control, book -> room with the air conditioner, light fixture, rug -> Region 2 <room with the decoration, blanket, curtain rod>", "D) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> room with the blinds, cabinet, ornament -> room with the air conditioner, light fixture, rug -> room with the fire alarm, remote control, book -> Region 2 <room with the decoration, blanket, curtain rod>"], "answer": "C) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> room with the fire alarm, remote control, book -> room with the air conditioner, light fixture, rug -> Region 2 <room with the decoration, blanket, curtain rod>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fire alarm, remote control, book> to Region 2 <room with the blinds, cabinet, ornament>?", "options": ["A) Region 1 <room with the fire alarm, remote control, book> -> room with the showerhead, shower valve, bathroom cabinet -> room with the air conditioner, light fixture, rug -> Region 2 <room with the blinds, cabinet, ornament>", "B) Region 1 <room with the fire alarm, remote control, book> -> room with the air conditioner, light fixture, rug -> room with the showerhead, shower valve, bathroom cabinet -> Region 2 <room with the blinds, cabinet, ornament>", "C) Region 1 <room with the fire alarm, remote control, book> -> room with the showerhead, shower valve, bathroom cabinet -> room with the air conditioner, light fixture, rug -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, cabinet, ornament>", "D) Region 1 <room with the fire alarm, remote control, book> -> room with the air conditioner, light fixture, rug -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, cabinet, ornament>"], "answer": "D) Region 1 <room with the fire alarm, remote control, book> -> room with the air conditioner, light fixture, rug -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, cabinet, ornament>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the showerhead, shower valve, bathroom cabinet> to Region 2 <room with the blinds, cabinet, ornament>?", "options": ["A) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> room with the fire alarm, remote control, book -> room with the air conditioner, light fixture, rug -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, cabinet, ornament>", "B) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> room with the decoration, blanket, curtain rod -> room with the fire alarm, remote control, book -> room with the air conditioner, light fixture, rug -> Region 2 <room with the blinds, cabinet, ornament>", "C) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> room with the fire alarm, remote control, book -> Region 2 <room with the blinds, cabinet, ornament>", "D) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> room with the decoration, blanket, curtain rod -> room with the air conditioner, light fixture, rug -> room with the fire alarm, remote control, book -> Region 2 <room with the blinds, cabinet, ornament>"], "answer": "A) Region 1 <room with the showerhead, shower valve, bathroom cabinet> -> room with the fire alarm, remote control, book -> room with the air conditioner, light fixture, rug -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, cabinet, ornament>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route12/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the light, chest of drawers, bed> to Region 2 <room with the dog bed, bin, kitchen island>?", "options": ["A) Region 1 <room with the light, chest of drawers, bed> -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "B) Region 1 <room with the light, chest of drawers, bed> -> room with the vase, ornament, cabinet -> Region 2 <room with the dog bed, bin, kitchen island>", "C) Region 1 <room with the light, chest of drawers, bed> -> room with the vase, ornament, cabinet -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "D) Region 1 <room with the light, chest of drawers, bed> -> Region 2 <room with the dog bed, bin, kitchen island>"], "answer": "A) Region 1 <room with the light, chest of drawers, bed> -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the blanket, nightstand, bed> to Region 2 <room with the vase, ornament, cabinet>?", "options": ["A) Region 1 <room with the blanket, nightstand, bed> -> Region 2 <room with the vase, ornament, cabinet>", "B) Region 1 <room with the blanket, nightstand, bed> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the vase, ornament, cabinet>", "C) Region 1 <room with the blanket, nightstand, bed> -> room with the light, chest of drawers, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the vase, ornament, cabinet>", "D) Region 1 <room with the blanket, nightstand, bed> -> room with the dog bed, bin, kitchen island -> room with the light, chest of drawers, bed -> Region 2 <room with the vase, ornament, cabinet>"], "answer": "B) Region 1 <room with the blanket, nightstand, bed> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the vase, ornament, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the light, chest of drawers, bed> to Region 2 <room with the vase, ornament, cabinet>?", "options": ["A) Region 1 <room with the light, chest of drawers, bed> -> room with the blanket, nightstand, bed -> Region 2 <room with the vase, ornament, cabinet>", "B) Region 1 <room with the light, chest of drawers, bed> -> room with the dog bed, bin, kitchen island -> room with the blanket, nightstand, bed -> Region 2 <room with the vase, ornament, cabinet>", "C) Region 1 <room with the light, chest of drawers, bed> -> Region 2 <room with the vase, ornament, cabinet>", "D) Region 1 <room with the light, chest of drawers, bed> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the vase, ornament, cabinet>"], "answer": "D) Region 1 <room with the light, chest of drawers, bed> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the vase, ornament, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route16/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the light, ceiling fan, picture> to Region 2 <room with the blinds, cabinet, vase>?", "options": ["A) Region 1 <room with the light, ceiling fan, picture> -> room with the dog bed, tap, kitchen island -> room with the decoration, curtain rod, blanket -> Region 2 <room with the blinds, cabinet, vase>", "B) Region 1 <room with the light, ceiling fan, picture> -> room with the dog bed, tap, kitchen island -> Region 2 <room with the blinds, cabinet, vase>", "C) Region 1 <room with the light, ceiling fan, picture> -> room with the decoration, curtain rod, blanket -> room with the dog bed, tap, kitchen island -> Region 2 <room with the blinds, cabinet, vase>", "D) Region 1 <room with the light, ceiling fan, picture> -> room with the decoration, curtain rod, blanket -> Region 2 <room with the blinds, cabinet, vase>"], "answer": "D) Region 1 <room with the light, ceiling fan, picture> -> room with the decoration, curtain rod, blanket -> Region 2 <room with the blinds, cabinet, vase>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the decoration, curtain rod, blanket> to Region 2 <room with the dog bed, tap, kitchen island>?", "options": ["A) Region 1 <room with the decoration, curtain rod, blanket> -> room with the blinds, cabinet, vase -> room with the light, ceiling fan, picture -> Region 2 <room with the dog bed, tap, kitchen island>", "B) Region 1 <room with the decoration, curtain rod, blanket> -> room with the light, ceiling fan, picture -> Region 2 <room with the dog bed, tap, kitchen island>", "C) Region 1 <room with the decoration, curtain rod, blanket> -> room with the blinds, cabinet, vase -> Region 2 <room with the dog bed, tap, kitchen island>", "D) Region 1 <room with the decoration, curtain rod, blanket> -> room with the light, ceiling fan, picture -> room with the blinds, cabinet, vase -> Region 2 <room with the dog bed, tap, kitchen island>"], "answer": "C) Region 1 <room with the decoration, curtain rod, blanket> -> room with the blinds, cabinet, vase -> Region 2 <room with the dog bed, tap, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the light, ceiling fan, picture> to Region 2 <room with the dog bed, tap, kitchen island>?", "options": ["A) Region 1 <room with the light, ceiling fan, picture> -> room with the blinds, cabinet, vase -> Region 2 <room with the dog bed, tap, kitchen island>", "B) Region 1 <room with the light, ceiling fan, picture> -> room with the decoration, curtain rod, blanket -> room with the blinds, cabinet, vase -> Region 2 <room with the dog bed, tap, kitchen island>", "C) Region 1 <room with the light, ceiling fan, picture> -> room with the decoration, curtain rod, blanket -> Region 2 <room with the dog bed, tap, kitchen island>", "D) Region 1 <room with the light, ceiling fan, picture> -> Region 2 <room with the dog bed, tap, kitchen island>"], "answer": "B) Region 1 <room with the light, ceiling fan, picture> -> room with the decoration, curtain rod, blanket -> room with the blinds, cabinet, vase -> Region 2 <room with the dog bed, tap, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route17/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, shower curtain> to Region 2 <room with the fire alarm, ceiling fan, stool>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the fire alarm, ceiling fan, stool>", "B) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> Region 2 <room with the fire alarm, ceiling fan, stool>", "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the thermostat, rug, mirror -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the fire alarm, ceiling fan, stool>", "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the thermostat, rug, mirror -> Region 2 <room with the fire alarm, ceiling fan, stool>"], "answer": "A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the fire alarm, ceiling fan, stool>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, shower valve, bathtub> to Region 2 <room with the thermostat, rug, mirror>?", "options": ["A) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the bath mat, shower curtain rod, shower curtain -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the thermostat, rug, mirror>", "B) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the fire alarm, ceiling fan, stool -> room with the bath mat, shower curtain rod, shower curtain -> Region 2 <room with the thermostat, rug, mirror>", "C) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the bath mat, shower curtain rod, shower curtain -> Region 2 <room with the thermostat, rug, mirror>", "D) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the thermostat, rug, mirror>"], "answer": "D) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the thermostat, rug, mirror>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, shower curtain> to Region 2 <room with the thermostat, rug, mirror>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, shower valve, bathtub -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the thermostat, rug, mirror>", "B) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> Region 2 <room with the thermostat, rug, mirror>", "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the thermostat, rug, mirror>", "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the thermostat, rug, mirror>"], "answer": "A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, shower valve, bathtub -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the thermostat, rug, mirror>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route2/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route2/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, fire alarm, book> to Region 2 <room with the decoration, blanket, curtain rod>?", "options": ["A) Region 1 <room with the cabinet, fire alarm, book> -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the decoration, blanket, curtain rod>", "B) Region 1 <room with the cabinet, fire alarm, book> -> Region 2 <room with the decoration, blanket, curtain rod>", "C) Region 1 <room with the cabinet, fire alarm, book> -> room with the blinds, rug -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the decoration, blanket, curtain rod>", "D) Region 1 <room with the cabinet, fire alarm, book> -> room with the blinds, rug -> Region 2 <room with the decoration, blanket, curtain rod>"], "answer": "A) Region 1 <room with the cabinet, fire alarm, book> -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the decoration, blanket, curtain rod>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air conditioner, thermostat, light fixture> to Region 2 <room with the blinds, rug>?", "options": ["A) Region 1 <room with the air conditioner, thermostat, light fixture> -> room with the cabinet, fire alarm, book -> Region 2 <room with the blinds, rug>", "B) Region 1 <room with the air conditioner, thermostat, light fixture> -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "C) Region 1 <room with the air conditioner, thermostat, light fixture> -> room with the cabinet, fire alarm, book -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "D) Region 1 <room with the air conditioner, thermostat, light fixture> -> Region 2 <room with the blinds, rug>"], "answer": "B) Region 1 <room with the air conditioner, thermostat, light fixture> -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, fire alarm, book> to Region 2 <room with the blinds, rug>?", "options": ["A) Region 1 <room with the cabinet, fire alarm, book> -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the blinds, rug>", "B) Region 1 <room with the cabinet, fire alarm, book> -> room with the decoration, blanket, curtain rod -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the blinds, rug>", "C) Region 1 <room with the cabinet, fire alarm, book> -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "D) Region 1 <room with the cabinet, fire alarm, book> -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>"], "answer": "D) Region 1 <room with the cabinet, fire alarm, book> -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route20/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the remote control, book, armchair> to Region 2 <room with the decoration, blanket, nightstand>?", "options": ["A) Region 1 <room with the remote control, book, armchair> -> room with the air conditioner, thermostat, rug -> Region 2 <room with the decoration, blanket, nightstand>", "B) Region 1 <room with the remote control, book, armchair> -> Region 2 <room with the decoration, blanket, nightstand>", "C) Region 1 <room with the remote control, book, armchair> -> room with the air conditioner, thermostat, rug -> room with the bowl of fruit, dog bed, bin -> Region 2 <room with the decoration, blanket, nightstand>", "D) Region 1 <room with the remote control, book, armchair> -> room with the bowl of fruit, dog bed, bin -> room with the air conditioner, thermostat, rug -> Region 2 <room with the decoration, blanket, nightstand>"], "answer": "A) Region 1 <room with the remote control, book, armchair> -> room with the air conditioner, thermostat, rug -> Region 2 <room with the decoration, blanket, nightstand>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air conditioner, thermostat, rug> to Region 2 <room with the bowl of fruit, dog bed, bin>?", "options": ["A) Region 1 <room with the air conditioner, thermostat, rug> -> room with the remote control, book, armchair -> room with the decoration, blanket, nightstand -> Region 2 <room with the bowl of fruit, dog bed, bin>", "B) Region 1 <room with the air conditioner, thermostat, rug> -> room with the remote control, book, armchair -> Region 2 <room with the bowl of fruit, dog bed, bin>", "C) Region 1 <room with the air conditioner, thermostat, rug> -> room with the decoration, blanket, nightstand -> Region 2 <room with the bowl of fruit, dog bed, bin>", "D) Region 1 <room with the air conditioner, thermostat, rug> -> room with the decoration, blanket, nightstand -> room with the remote control, book, armchair -> Region 2 <room with the bowl of fruit, dog bed, bin>"], "answer": "C) Region 1 <room with the air conditioner, thermostat, rug> -> room with the decoration, blanket, nightstand -> Region 2 <room with the bowl of fruit, dog bed, bin>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the remote control, book, armchair> to Region 2 <room with the bowl of fruit, dog bed, bin>?", "options": ["A) Region 1 <room with the remote control, book, armchair> -> room with the decoration, blanket, nightstand -> Region 2 <room with the bowl of fruit, dog bed, bin>", "B) Region 1 <room with the remote control, book, armchair> -> room with the air conditioner, thermostat, rug -> room with the decoration, blanket, nightstand -> Region 2 <room with the bowl of fruit, dog bed, bin>", "C) Region 1 <room with the remote control, book, armchair> -> room with the decoration, blanket, nightstand -> room with the air conditioner, thermostat, rug -> Region 2 <room with the bowl of fruit, dog bed, bin>", "D) Region 1 <room with the remote control, book, armchair> -> room with the air conditioner, thermostat, rug -> Region 2 <room with the bowl of fruit, dog bed, bin>"], "answer": "B) Region 1 <room with the remote control, book, armchair> -> room with the air conditioner, thermostat, rug -> room with the decoration, blanket, nightstand -> Region 2 <room with the bowl of fruit, dog bed, bin>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route21/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fire alarm, remote control, book> to Region 2 <room with the decoration, blanket, curtain rod>?", "options": ["A) Region 1 <room with the fire alarm, remote control, book> -> room with the air conditioner, thermostat, light fixture -> room with the blinds, rug -> Region 2 <room with the decoration, blanket, curtain rod>", "B) Region 1 <room with the fire alarm, remote control, book> -> room with the blinds, rug -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the decoration, blanket, curtain rod>", "C) Region 1 <room with the fire alarm, remote control, book> -> room with the blinds, rug -> Region 2 <room with the decoration, blanket, curtain rod>", "D) Region 1 <room with the fire alarm, remote control, book> -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the decoration, blanket, curtain rod>"], "answer": "D) Region 1 <room with the fire alarm, remote control, book> -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the decoration, blanket, curtain rod>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air conditioner, thermostat, light fixture> to Region 2 <room with the blinds, rug>?", "options": ["A) Region 1 <room with the air conditioner, thermostat, light fixture> -> room with the fire alarm, remote control, book -> Region 2 <room with the blinds, rug>", "B) Region 1 <room with the air conditioner, thermostat, light fixture> -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "C) Region 1 <room with the air conditioner, thermostat, light fixture> -> room with the decoration, blanket, curtain rod -> room with the fire alarm, remote control, book -> Region 2 <room with the blinds, rug>", "D) Region 1 <room with the air conditioner, thermostat, light fixture> -> Region 2 <room with the blinds, rug>"], "answer": "B) Region 1 <room with the air conditioner, thermostat, light fixture> -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fire alarm, remote control, book> to Region 2 <room with the blinds, rug>?", "options": ["A) Region 1 <room with the fire alarm, remote control, book> -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "B) Region 1 <room with the fire alarm, remote control, book> -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "C) Region 1 <room with the fire alarm, remote control, book> -> Region 2 <room with the blinds, rug>", "D) Region 1 <room with the fire alarm, remote control, book> -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the blinds, rug>"], "answer": "B) Region 1 <room with the fire alarm, remote control, book> -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, curtain rod -> Region 2 <room with the blinds, rug>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route22/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the book, armchair, tv> to Region 2 <room with the dog bed, bin, kitchen island>?", "options": ["A) Region 1 <room with the book, armchair, tv> -> room with the blanket, nightstand, bed -> room with the air conditioner, thermostat, rug -> Region 2 <room with the dog bed, bin, kitchen island>", "B) Region 1 <room with the book, armchair, tv> -> room with the air conditioner, thermostat, rug -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "C) Region 1 <room with the book, armchair, tv> -> room with the thermostat, rug, light fixture -> room with the air conditioner, thermostat, rug -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "D) Region 1 <room with the book, armchair, tv> -> room with the thermostat, rug, light fixture -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>"], "answer": "B) Region 1 <room with the book, armchair, tv> -> room with the air conditioner, thermostat, rug -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air conditioner, thermostat, rug> to Region 2 <room with the thermostat, rug, light fixture>?", "options": ["A) Region 1 <room with the air conditioner, thermostat, rug> -> room with the book, armchair, tv -> Region 2 <room with the thermostat, rug, light fixture>", "B) Region 1 <room with the air conditioner, thermostat, rug> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>", "C) Region 1 <room with the air conditioner, thermostat, rug> -> room with the blanket, nightstand, bed -> Region 2 <room with the thermostat, rug, light fixture>", "D) Region 1 <room with the air conditioner, thermostat, rug> -> Region 2 <room with the thermostat, rug, light fixture>"], "answer": "B) Region 1 <room with the air conditioner, thermostat, rug> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the book, armchair, tv> to Region 2 <room with the thermostat, rug, light fixture>?", "options": ["A) Region 1 <room with the book, armchair, tv> -> room with the blanket, nightstand, bed -> room with the air conditioner, thermostat, rug -> Region 2 <room with the thermostat, rug, light fixture>", "B) Region 1 <room with the book, armchair, tv> -> room with the air conditioner, thermostat, rug -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>", "C) Region 1 <room with the book, armchair, tv> -> room with the air conditioner, thermostat, rug -> room with the dog bed, bin, kitchen island -> room with the blanket, nightstand, bed -> Region 2 <room with the thermostat, rug, light fixture>", "D) Region 1 <room with the book, armchair, tv> -> room with the dog bed, bin, kitchen island -> room with the blanket, nightstand, bed -> Region 2 <room with the thermostat, rug, light fixture>"], "answer": "B) Region 1 <room with the book, armchair, tv> -> room with the air conditioner, thermostat, rug -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route23/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the book, armchair, tv> to Region 2 <room with the dog bed, bin, kitchen island>?", "options": ["A) Region 1 <room with the book, armchair, tv> -> room with the thermostat, air conditioner, light fixture -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "B) Region 1 <room with the book, armchair, tv> -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the dog bed, bin, kitchen island>", "C) Region 1 <room with the book, armchair, tv> -> Region 2 <room with the dog bed, bin, kitchen island>", "D) Region 1 <room with the book, armchair, tv> -> room with the blanket, nightstand, bed -> room with the fuse box, washer-dryer, cabinet -> room with the thermostat, air conditioner, light fixture -> Region 2 <room with the dog bed, bin, kitchen island>"], "answer": "A) Region 1 <room with the book, armchair, tv> -> room with the thermostat, air conditioner, light fixture -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the thermostat, air conditioner, light fixture> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the thermostat, air conditioner, light fixture> -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the dog bed, bin, kitchen island -> room with the blanket, nightstand, bed -> room with the book, armchair, tv -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the book, armchair, tv -> room with the blanket, nightstand, bed -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "D) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the book, armchair, tv> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the book, armchair, tv> -> room with the thermostat, air conditioner, light fixture -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the book, armchair, tv> -> room with the thermostat, air conditioner, light fixture -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the book, armchair, tv> -> room with the thermostat, air conditioner, light fixture -> room with the blanket, nightstand, bed -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the book, armchair, tv> -> room with the dog bed, bin, kitchen island -> room with the thermostat, air conditioner, light fixture -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "B) Region 1 <room with the book, armchair, tv> -> room with the thermostat, air conditioner, light fixture -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route24/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rug, light fixture, mirror> to Region 2 <room with the dog bed, bin, kitchen island>?", "options": ["A) Region 1 <room with the rug, light fixture, mirror> -> Region 2 <room with the dog bed, bin, kitchen island>", "B) Region 1 <room with the rug, light fixture, mirror> -> room with the decoration, blanket, bed -> room with the thermostat, rug, light fixture -> Region 2 <room with the dog bed, bin, kitchen island>", "C) Region 1 <room with the rug, light fixture, mirror> -> room with the decoration, blanket, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "D) Region 1 <room with the rug, light fixture, mirror> -> room with the thermostat, rug, light fixture -> Region 2 <room with the dog bed, bin, kitchen island>"], "answer": "C) Region 1 <room with the rug, light fixture, mirror> -> room with the decoration, blanket, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the decoration, blanket, bed> to Region 2 <room with the thermostat, rug, light fixture>?", "options": ["A) Region 1 <room with the decoration, blanket, bed> -> room with the rug, light fixture, mirror -> Region 2 <room with the thermostat, rug, light fixture>", "B) Region 1 <room with the decoration, blanket, bed> -> room with the rug, light fixture, mirror -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>", "C) Region 1 <room with the decoration, blanket, bed> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>", "D) Region 1 <room with the decoration, blanket, bed> -> Region 2 <room with the thermostat, rug, light fixture>"], "answer": "C) Region 1 <room with the decoration, blanket, bed> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the rug, light fixture, mirror> to Region 2 <room with the thermostat, rug, light fixture>?", "options": ["A) Region 1 <room with the rug, light fixture, mirror> -> room with the decoration, blanket, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>", "B) Region 1 <room with the rug, light fixture, mirror> -> room with the dog bed, bin, kitchen island -> room with the decoration, blanket, bed -> Region 2 <room with the thermostat, rug, light fixture>", "C) Region 1 <room with the rug, light fixture, mirror> -> room with the decoration, blanket, bed -> Region 2 <room with the thermostat, rug, light fixture>", "D) Region 1 <room with the rug, light fixture, mirror> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>"], "answer": "A) Region 1 <room with the rug, light fixture, mirror> -> room with the decoration, blanket, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the thermostat, rug, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route25/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the thermostat, air conditioner, light fixture> to Region 2 <room with the vase, cabinet, ornament>?", "options": ["A) Region 1 <room with the thermostat, air conditioner, light fixture> -> Region 2 <room with the vase, cabinet, ornament>", "B) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the dog bed, kitchen island, christmas tree -> room with the decoration, blanket, nightstand -> Region 2 <room with the vase, cabinet, ornament>", "C) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the dog bed, kitchen island, christmas tree -> Region 2 <room with the vase, cabinet, ornament>", "D) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the decoration, blanket, nightstand -> Region 2 <room with the vase, cabinet, ornament>"], "answer": "D) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the decoration, blanket, nightstand -> Region 2 <room with the vase, cabinet, ornament>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the decoration, blanket, nightstand> to Region 2 <room with the dog bed, kitchen island, christmas tree>?", "options": ["A) Region 1 <room with the decoration, blanket, nightstand> -> room with the thermostat, air conditioner, light fixture -> room with the vase, cabinet, ornament -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "B) Region 1 <room with the decoration, blanket, nightstand> -> room with the vase, cabinet, ornament -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "C) Region 1 <room with the decoration, blanket, nightstand> -> room with the thermostat, air conditioner, light fixture -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "D) Region 1 <room with the decoration, blanket, nightstand> -> Region 2 <room with the dog bed, kitchen island, christmas tree>"], "answer": "B) Region 1 <room with the decoration, blanket, nightstand> -> room with the vase, cabinet, ornament -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the thermostat, air conditioner, light fixture> to Region 2 <room with the dog bed, kitchen island, christmas tree>?", "options": ["A) Region 1 <room with the thermostat, air conditioner, light fixture> -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "B) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the decoration, blanket, nightstand -> room with the vase, cabinet, ornament -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "C) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the vase, cabinet, ornament -> room with the decoration, blanket, nightstand -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "D) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the decoration, blanket, nightstand -> Region 2 <room with the dog bed, kitchen island, christmas tree>"], "answer": "B) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the decoration, blanket, nightstand -> room with the vase, cabinet, ornament -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route26/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the thermostat, air conditioner, light fixture> to Region 2 <room with the dog bed, bin, kitchen island>?", "options": ["A) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "B) Region 1 <room with the thermostat, air conditioner, light fixture> -> Region 2 <room with the dog bed, bin, kitchen island>", "C) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the light fixture, rug -> Region 2 <room with the dog bed, bin, kitchen island>", "D) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the blanket, nightstand, bed -> room with the light fixture, rug -> Region 2 <room with the dog bed, bin, kitchen island>"], "answer": "A) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the blanket, nightstand, bed> to Region 2 <room with the light fixture, rug>?", "options": ["A) Region 1 <room with the blanket, nightstand, bed> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the light fixture, rug>", "B) Region 1 <room with the blanket, nightstand, bed> -> room with the thermostat, air conditioner, light fixture -> Region 2 <room with the light fixture, rug>", "C) Region 1 <room with the blanket, nightstand, bed> -> room with the dog bed, bin, kitchen island -> room with the thermostat, air conditioner, light fixture -> Region 2 <room with the light fixture, rug>", "D) Region 1 <room with the blanket, nightstand, bed> -> Region 2 <room with the light fixture, rug>"], "answer": "A) Region 1 <room with the blanket, nightstand, bed> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the light fixture, rug>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the thermostat, air conditioner, light fixture> to Region 2 <room with the light fixture, rug>?", "options": ["A) Region 1 <room with the thermostat, air conditioner, light fixture> -> Region 2 <room with the light fixture, rug>", "B) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the light fixture, rug>", "C) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the blanket, nightstand, bed -> Region 2 <room with the light fixture, rug>", "D) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the dog bed, bin, kitchen island -> room with the blanket, nightstand, bed -> Region 2 <room with the light fixture, rug>"], "answer": "B) Region 1 <room with the thermostat, air conditioner, light fixture> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the light fixture, rug>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route27/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air conditioner, thermostat, rug> to Region 2 <room with the dog bed, bin, kitchen island>?", "options": ["A) Region 1 <room with the air conditioner, thermostat, rug> -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "B) Region 1 <room with the air conditioner, thermostat, rug> -> Region 2 <room with the dog bed, bin, kitchen island>", "C) Region 1 <room with the air conditioner, thermostat, rug> -> room with the blanket, nightstand, bed -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the dog bed, bin, kitchen island>", "D) Region 1 <room with the air conditioner, thermostat, rug> -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the dog bed, bin, kitchen island>"], "answer": "A) Region 1 <room with the air conditioner, thermostat, rug> -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, bin, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the blanket, nightstand, bed> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the blanket, nightstand, bed> -> room with the air conditioner, thermostat, rug -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the blanket, nightstand, bed> -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the blanket, nightstand, bed> -> room with the air conditioner, thermostat, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the blanket, nightstand, bed> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "D) Region 1 <room with the blanket, nightstand, bed> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the air conditioner, thermostat, rug> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the air conditioner, thermostat, rug> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the air conditioner, thermostat, rug> -> room with the blanket, nightstand, bed -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the air conditioner, thermostat, rug> -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the air conditioner, thermostat, rug> -> room with the dog bed, bin, kitchen island -> room with the blanket, nightstand, bed -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "A) Region 1 <room with the air conditioner, thermostat, rug> -> room with the blanket, nightstand, bed -> room with the dog bed, bin, kitchen island -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route28/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed, blanket> to Region 2 <room with the thermostat, light fixture, rug>?", "options": ["A) Region 1 <room with the nightstand, bed, blanket> -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, light fixture, rug>", "B) Region 1 <room with the nightstand, bed, blanket> -> room with the dog bed, bin, tap -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, light fixture, rug>", "C) Region 1 <room with the nightstand, bed, blanket> -> room with the fuse box, washer-dryer, cabinet -> room with the dog bed, bin, tap -> Region 2 <room with the thermostat, light fixture, rug>", "D) Region 1 <room with the nightstand, bed, blanket> -> room with the dog bed, bin, tap -> Region 2 <room with the thermostat, light fixture, rug>"], "answer": "D) Region 1 <room with the nightstand, bed, blanket> -> room with the dog bed, bin, tap -> Region 2 <room with the thermostat, light fixture, rug>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dog bed, bin, tap> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the dog bed, bin, tap> -> room with the thermostat, light fixture, rug -> room with the nightstand, bed, blanket -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the dog bed, bin, tap> -> room with the nightstand, bed, blanket -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the dog bed, bin, tap> -> room with the thermostat, light fixture, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the dog bed, bin, tap> -> room with the nightstand, bed, blanket -> room with the thermostat, light fixture, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "C) Region 1 <room with the dog bed, bin, tap> -> room with the thermostat, light fixture, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, bed, blanket> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the nightstand, bed, blanket> -> room with the dog bed, bin, tap -> room with the thermostat, light fixture, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the nightstand, bed, blanket> -> room with the thermostat, light fixture, rug -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the nightstand, bed, blanket> -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the nightstand, bed, blanket> -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "A) Region 1 <room with the nightstand, bed, blanket> -> room with the dog bed, bin, tap -> room with the thermostat, light fixture, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route29/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the light fixture, bath mat, shower curtain rod> to Region 2 <room with the thermostat, rug, mirror>?", "options": ["A) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the thermostat, rug, mirror>", "B) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> room with the blanket, bed, nightstand -> Region 2 <room with the thermostat, rug, mirror>", "C) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> Region 2 <room with the thermostat, rug, mirror>", "D) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> room with the bathtub platform, bathtub, hook -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the thermostat, rug, mirror>"], "answer": "D) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> room with the bathtub platform, bathtub, hook -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the thermostat, rug, mirror>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, bathtub, hook> to Region 2 <room with the blanket, bed, nightstand>?", "options": ["A) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the thermostat, rug, mirror -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the blanket, bed, nightstand>", "B) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the thermostat, rug, mirror -> room with the cabinet, fire alarm, ceiling fan -> room with the light fixture, bath mat, shower curtain rod -> Region 2 <room with the blanket, bed, nightstand>", "C) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the cabinet, fire alarm, ceiling fan -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, bed, nightstand>", "D) Region 1 <room with the bathtub platform, bathtub, hook> -> Region 2 <room with the blanket, bed, nightstand>"], "answer": "C) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the cabinet, fire alarm, ceiling fan -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, bed, nightstand>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the light fixture, bath mat, shower curtain rod> to Region 2 <room with the blanket, bed, nightstand>?", "options": ["A) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> room with the thermostat, rug, mirror -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the blanket, bed, nightstand>", "B) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> room with the thermostat, rug, mirror -> room with the cabinet, fire alarm, ceiling fan -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the blanket, bed, nightstand>", "C) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> room with the bathtub platform, bathtub, hook -> room with the cabinet, fire alarm, ceiling fan -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, bed, nightstand>", "D) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> room with the thermostat, rug, mirror -> room with the bathtub platform, bathtub, hook -> room with the cabinet, fire alarm, ceiling fan -> Region 2 <room with the blanket, bed, nightstand>"], "answer": "C) Region 1 <room with the light fixture, bath mat, shower curtain rod> -> room with the bathtub platform, bathtub, hook -> room with the cabinet, fire alarm, ceiling fan -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, bed, nightstand>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route3/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, ceiling fan, blanket> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the nightstand, ceiling fan, blanket> -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the nightstand, ceiling fan, blanket> -> room with the thermostat, rug, light fixture -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the nightstand, ceiling fan, blanket> -> room with the thermostat, rug, light fixture -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the nightstand, ceiling fan, blanket> -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "A) Region 1 <room with the nightstand, ceiling fan, blanket> -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dog bed, bin, tap> to Region 2 <room with the thermostat, rug, light fixture>?", "options": ["A) Region 1 <room with the dog bed, bin, tap> -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "B) Region 1 <room with the dog bed, bin, tap> -> Region 2 <room with the thermostat, rug, light fixture>", "C) Region 1 <room with the dog bed, bin, tap> -> room with the fuse box, washer-dryer, cabinet -> room with the nightstand, ceiling fan, blanket -> Region 2 <room with the thermostat, rug, light fixture>", "D) Region 1 <room with the dog bed, bin, tap> -> room with the nightstand, ceiling fan, blanket -> Region 2 <room with the thermostat, rug, light fixture>"], "answer": "A) Region 1 <room with the dog bed, bin, tap> -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the nightstand, ceiling fan, blanket> to Region 2 <room with the thermostat, rug, light fixture>?", "options": ["A) Region 1 <room with the nightstand, ceiling fan, blanket> -> room with the dog bed, bin, tap -> Region 2 <room with the thermostat, rug, light fixture>", "B) Region 1 <room with the nightstand, ceiling fan, blanket> -> room with the dog bed, bin, tap -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "C) Region 1 <room with the nightstand, ceiling fan, blanket> -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "D) Region 1 <room with the nightstand, ceiling fan, blanket> -> room with the fuse box, washer-dryer, cabinet -> room with the dog bed, bin, tap -> Region 2 <room with the thermostat, rug, light fixture>"], "answer": "B) Region 1 <room with the nightstand, ceiling fan, blanket> -> room with the dog bed, bin, tap -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route30/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ornament, blinds, vase> to Region 2 <room with the thermostat, light fixture, rug>?", "options": ["A) Region 1 <room with the ornament, blinds, vase> -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, light fixture, rug>", "B) Region 1 <room with the ornament, blinds, vase> -> Region 2 <room with the thermostat, light fixture, rug>", "C) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> Region 2 <room with the thermostat, light fixture, rug>", "D) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, light fixture, rug>"], "answer": "C) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> Region 2 <room with the thermostat, light fixture, rug>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dog bed, bin, tap> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the dog bed, bin, tap> -> room with the ornament, blinds, vase -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the dog bed, bin, tap> -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the dog bed, bin, tap> -> room with the thermostat, light fixture, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the dog bed, bin, tap> -> room with the thermostat, light fixture, rug -> room with the ornament, blinds, vase -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "C) Region 1 <room with the dog bed, bin, tap> -> room with the thermostat, light fixture, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ornament, blinds, vase> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the ornament, blinds, vase> -> room with the thermostat, light fixture, rug -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the ornament, blinds, vase> -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> room with the thermostat, light fixture, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "D) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> room with the thermostat, light fixture, rug -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route31/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ornament, blinds, vase> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the ornament, blinds, vase> -> room with the thermostat, rug, light fixture -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the ornament, blinds, vase> -> room with the thermostat, rug, light fixture -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> room with the thermostat, rug, light fixture -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "A) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the dog bed, bin, tap> to Region 2 <room with the thermostat, rug, light fixture>?", "options": ["A) Region 1 <room with the dog bed, bin, tap> -> room with the ornament, blinds, vase -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "B) Region 1 <room with the dog bed, bin, tap> -> room with the ornament, blinds, vase -> Region 2 <room with the thermostat, rug, light fixture>", "C) Region 1 <room with the dog bed, bin, tap> -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "D) Region 1 <room with the dog bed, bin, tap> -> room with the fuse box, washer-dryer, cabinet -> room with the ornament, blinds, vase -> Region 2 <room with the thermostat, rug, light fixture>"], "answer": "C) Region 1 <room with the dog bed, bin, tap> -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the ornament, blinds, vase> to Region 2 <room with the thermostat, rug, light fixture>?", "options": ["A) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "B) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> Region 2 <room with the thermostat, rug, light fixture>", "C) Region 1 <room with the ornament, blinds, vase> -> room with the fuse box, washer-dryer, cabinet -> room with the dog bed, bin, tap -> Region 2 <room with the thermostat, rug, light fixture>", "D) Region 1 <room with the ornament, blinds, vase> -> Region 2 <room with the thermostat, rug, light fixture>"], "answer": "A) Region 1 <room with the ornament, blinds, vase> -> room with the dog bed, bin, tap -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the thermostat, rug, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route32/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, shower curtain> to Region 2 <room with the blanket, nightstand, bed>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, rug -> Region 2 <room with the blanket, nightstand, bed>", "B) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, rug -> room with the dog bed, kitchen island, christmas tree -> Region 2 <room with the blanket, nightstand, bed>", "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the dog bed, kitchen island, christmas tree -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, rug -> Region 2 <room with the blanket, nightstand, bed>", "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the fire alarm, remote control, book -> room with the dog bed, kitchen island, christmas tree -> Region 2 <room with the blanket, nightstand, bed>"], "answer": "A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, rug -> Region 2 <room with the blanket, nightstand, bed>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, bathtub, hook> to Region 2 <room with the dog bed, kitchen island, christmas tree>?", "options": ["A) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, rug -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "B) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the blanket, nightstand, bed -> room with the air conditioner, thermostat, rug -> room with the fire alarm, remote control, book -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "C) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the bath mat, shower curtain rod, shower curtain -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "D) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the air conditioner, thermostat, rug -> room with the bath mat, shower curtain rod, shower curtain -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, kitchen island, christmas tree>"], "answer": "A) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, rug -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, shower curtain> to Region 2 <room with the dog bed, kitchen island, christmas tree>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "B) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the blanket, nightstand, bed -> room with the fire alarm, remote control, book -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, rug -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the air conditioner, thermostat, rug -> room with the bathtub platform, bathtub, hook -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, kitchen island, christmas tree>"], "answer": "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, rug -> room with the blanket, nightstand, bed -> Region 2 <room with the dog bed, kitchen island, christmas tree>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route4/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, shower curtain> to Region 2 <room with the decoration, blanket, curtain rod>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the decoration, blanket, curtain rod>", "B) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the ornament, cabinet -> room with the fire alarm, book, armchair -> Region 2 <room with the decoration, blanket, curtain rod>", "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the fire alarm, book, armchair -> room with the air conditioner, thermostat, light fixture -> room with the ornament, cabinet -> Region 2 <room with the decoration, blanket, curtain rod>", "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, book, armchair -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the decoration, blanket, curtain rod>"], "answer": "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, book, armchair -> room with the air conditioner, thermostat, light fixture -> Region 2 <room with the decoration, blanket, curtain rod>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, bathtub, hook> to Region 2 <room with the ornament, cabinet>?", "options": ["A) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the decoration, blanket, curtain rod -> room with the bath mat, shower curtain rod, shower curtain -> room with the fire alarm, book, armchair -> Region 2 <room with the ornament, cabinet>", "B) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the decoration, blanket, curtain rod -> room with the air conditioner, thermostat, light fixture -> room with the bath mat, shower curtain rod, shower curtain -> Region 2 <room with the ornament, cabinet>", "C) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the fire alarm, book, armchair -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, curtain rod -> Region 2 <room with the ornament, cabinet>", "D) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, curtain rod -> Region 2 <room with the ornament, cabinet>"], "answer": "C) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the fire alarm, book, armchair -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, curtain rod -> Region 2 <room with the ornament, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, shower curtain> to Region 2 <room with the ornament, cabinet>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the decoration, blanket, curtain rod -> room with the air conditioner, thermostat, light fixture -> room with the fire alarm, book, armchair -> Region 2 <room with the ornament, cabinet>", "B) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the decoration, blanket, curtain rod -> Region 2 <room with the ornament, cabinet>", "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the air conditioner, thermostat, light fixture -> room with the fire alarm, book, armchair -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the ornament, cabinet>", "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, book, armchair -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, curtain rod -> Region 2 <room with the ornament, cabinet>"], "answer": "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, book, armchair -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, curtain rod -> Region 2 <room with the ornament, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, shower curtain> to Region 2 <room with the bowl of fruit, dog bed, bin>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the fire alarm, remote control, book -> room with the bathtub platform, bathtub, hook -> room with the blanket, nightstand, curtain rod -> Region 2 <room with the bowl of fruit, dog bed, bin>", "B) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the air conditioner, rug, thermostat -> room with the blanket, nightstand, curtain rod -> Region 2 <room with the bowl of fruit, dog bed, bin>", "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, rug, thermostat -> room with the blanket, nightstand, curtain rod -> Region 2 <room with the bowl of fruit, dog bed, bin>", "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the air conditioner, rug, thermostat -> Region 2 <room with the bowl of fruit, dog bed, bin>"], "answer": "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, rug, thermostat -> room with the blanket, nightstand, curtain rod -> Region 2 <room with the bowl of fruit, dog bed, bin>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route6/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route6/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, shower curtain> to Region 2 <room with the bowl of fruit, dog bed, bin>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the fire alarm, remote control, book -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the bowl of fruit, dog bed, bin>", "B) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the air conditioner, thermostat, light fixture -> room with the fuse box, washer-dryer, cabinet -> Region 2 <room with the bowl of fruit, dog bed, bin>", "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, nightstand -> Region 2 <room with the bowl of fruit, dog bed, bin>", "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the air conditioner, thermostat, light fixture -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the bowl of fruit, dog bed, bin>"], "answer": "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, nightstand -> Region 2 <room with the bowl of fruit, dog bed, bin>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, bathtub, hook> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the fire alarm, remote control, book -> room with the bowl of fruit, dog bed, bin -> room with the decoration, blanket, nightstand -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, nightstand -> room with the bowl of fruit, dog bed, bin -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the air conditioner, thermostat, light fixture -> room with the bath mat, shower curtain rod, shower curtain -> room with the decoration, blanket, nightstand -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the fire alarm, remote control, book -> room with the decoration, blanket, nightstand -> room with the bowl of fruit, dog bed, bin -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "B) Region 1 <room with the bathtub platform, bathtub, hook> -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, nightstand -> room with the bowl of fruit, dog bed, bin -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bath mat, shower curtain rod, shower curtain> to Region 2 <room with the fuse box, washer-dryer, cabinet>?", "options": ["A) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the fire alarm, remote control, book -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "B) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the decoration, blanket, nightstand -> room with the bowl of fruit, dog bed, bin -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "C) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bowl of fruit, dog bed, bin -> room with the air conditioner, thermostat, light fixture -> room with the bathtub platform, bathtub, hook -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, nightstand -> room with the bowl of fruit, dog bed, bin -> Region 2 <room with the fuse box, washer-dryer, cabinet>"], "answer": "D) Region 1 <room with the bath mat, shower curtain rod, shower curtain> -> room with the bathtub platform, bathtub, hook -> room with the fire alarm, remote control, book -> room with the air conditioner, thermostat, light fixture -> room with the decoration, blanket, nightstand -> room with the bowl of fruit, dog bed, bin -> Region 2 <room with the fuse box, washer-dryer, cabinet>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route7/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, plant, shower valve> to Region 2 <room with the thermostat, rug, mirror>?", "options": ["A) Region 1 <room with the bathtub platform, plant, shower valve> -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the thermostat, rug, mirror>", "B) Region 1 <room with the bathtub platform, plant, shower valve> -> room with the light, picture, chest of drawers -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the thermostat, rug, mirror>", "C) Region 1 <room with the bathtub platform, plant, shower valve> -> Region 2 <room with the thermostat, rug, mirror>", "D) Region 1 <room with the bathtub platform, plant, shower valve> -> room with the light, picture, chest of drawers -> Region 2 <room with the thermostat, rug, mirror>"], "answer": "A) Region 1 <room with the bathtub platform, plant, shower valve> -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the thermostat, rug, mirror>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fire alarm, ceiling fan, stool> to Region 2 <room with the light, picture, chest of drawers>?", "options": ["A) Region 1 <room with the fire alarm, ceiling fan, stool> -> room with the thermostat, rug, mirror -> room with the bathtub platform, plant, shower valve -> Region 2 <room with the light, picture, chest of drawers>", "B) Region 1 <room with the fire alarm, ceiling fan, stool> -> Region 2 <room with the light, picture, chest of drawers>", "C) Region 1 <room with the fire alarm, ceiling fan, stool> -> room with the bathtub platform, plant, shower valve -> Region 2 <room with the light, picture, chest of drawers>", "D) Region 1 <room with the fire alarm, ceiling fan, stool> -> room with the thermostat, rug, mirror -> Region 2 <room with the light, picture, chest of drawers>"], "answer": "D) Region 1 <room with the fire alarm, ceiling fan, stool> -> room with the thermostat, rug, mirror -> Region 2 <room with the light, picture, chest of drawers>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, plant, shower valve> to Region 2 <room with the light, picture, chest of drawers>?", "options": ["A) Region 1 <room with the bathtub platform, plant, shower valve> -> room with the fire alarm, ceiling fan, stool -> Region 2 <room with the light, picture, chest of drawers>", "B) Region 1 <room with the bathtub platform, plant, shower valve> -> room with the thermostat, rug, mirror -> Region 2 <room with the light, picture, chest of drawers>", "C) Region 1 <room with the bathtub platform, plant, shower valve> -> room with the fire alarm, ceiling fan, stool -> room with the thermostat, rug, mirror -> Region 2 <room with the light, picture, chest of drawers>", "D) Region 1 <room with the bathtub platform, plant, shower valve> -> Region 2 <room with the light, picture, chest of drawers>"], "answer": "C) Region 1 <room with the bathtub platform, plant, shower valve> -> room with the fire alarm, ceiling fan, stool -> room with the thermostat, rug, mirror -> Region 2 <room with the light, picture, chest of drawers>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, shower valve, bathtub> to Region 2 <room with the thermostat, rug, mirror>?", "options": ["A) Region 1 <room with the bathtub platform, shower valve, bathtub> -> Region 2 <room with the thermostat, rug, mirror>", "B) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, book -> room with the blanket, decoration, light fixture -> Region 2 <room with the thermostat, rug, mirror>", "C) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the blanket, decoration, light fixture -> Region 2 <room with the thermostat, rug, mirror>", "D) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, book -> Region 2 <room with the thermostat, rug, mirror>"], "answer": "D) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, book -> Region 2 <room with the thermostat, rug, mirror>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the cabinet, fire alarm, book> to Region 2 <room with the blanket, decoration, light fixture>?", "options": ["A) Region 1 <room with the cabinet, fire alarm, book> -> room with the bathtub platform, shower valve, bathtub -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, decoration, light fixture>", "B) Region 1 <room with the cabinet, fire alarm, book> -> room with the thermostat, rug, mirror -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the blanket, decoration, light fixture>", "C) Region 1 <room with the cabinet, fire alarm, book> -> room with the bathtub platform, shower valve, bathtub -> Region 2 <room with the blanket, decoration, light fixture>", "D) Region 1 <room with the cabinet, fire alarm, book> -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, decoration, light fixture>"], "answer": "D) Region 1 <room with the cabinet, fire alarm, book> -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, decoration, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bathtub platform, shower valve, bathtub> to Region 2 <room with the blanket, decoration, light fixture>?", "options": ["A) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, book -> Region 2 <room with the blanket, decoration, light fixture>", "B) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, decoration, light fixture>", "C) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, book -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, decoration, light fixture>", "D) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the thermostat, rug, mirror -> room with the cabinet, fire alarm, book -> Region 2 <room with the blanket, decoration, light fixture>"], "answer": "C) Region 1 <room with the bathtub platform, shower valve, bathtub> -> room with the cabinet, fire alarm, book -> room with the thermostat, rug, mirror -> Region 2 <room with the blanket, decoration, light fixture>", "videos": ["dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/ziup5kvtCCR/route9/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, table, painting> to Region 2 <room with the bowl of fruit, coffee machine, kitchen island>?", "options": ["A) Region 1 <room with the tv, table, painting> -> Region 2 <room with the bowl of fruit, coffee machine, kitchen island>", "B) Region 1 <room with the tv, table, painting> -> room with the food stand, rug, dining table -> Region 2 <room with the bowl of fruit, coffee machine, kitchen island>", "C) Region 1 <room with the tv, table, painting> -> room with the clock, cabinet table, wall electronics -> Region 2 <room with the bowl of fruit, coffee machine, kitchen island>", "D) Region 1 <room with the tv, table, painting> -> room with the clock, cabinet table, wall electronics -> room with the food stand, rug, dining table -> Region 2 <room with the bowl of fruit, coffee machine, kitchen island>"], "answer": "B) Region 1 <room with the tv, table, painting> -> room with the food stand, rug, dining table -> Region 2 <room with the bowl of fruit, coffee machine, kitchen island>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the food stand, rug, dining table> to Region 2 <room with the clock, cabinet table, wall electronics>?", "options": ["A) Region 1 <room with the food stand, rug, dining table> -> room with the tv, table, painting -> room with the bowl of fruit, coffee machine, kitchen island -> Region 2 <room with the clock, cabinet table, wall electronics>", "B) Region 1 <room with the food stand, rug, dining table> -> room with the tv, table, painting -> Region 2 <room with the clock, cabinet table, wall electronics>", "C) Region 1 <room with the food stand, rug, dining table> -> room with the bowl of fruit, coffee machine, kitchen island -> room with the tv, table, painting -> Region 2 <room with the clock, cabinet table, wall electronics>", "D) Region 1 <room with the food stand, rug, dining table> -> room with the bowl of fruit, coffee machine, kitchen island -> Region 2 <room with the clock, cabinet table, wall electronics>"], "answer": "D) Region 1 <room with the food stand, rug, dining table> -> room with the bowl of fruit, coffee machine, kitchen island -> Region 2 <room with the clock, cabinet table, wall electronics>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the tv, table, painting> to Region 2 <room with the clock, cabinet table, wall electronics>?", "options": ["A) Region 1 <room with the tv, table, painting> -> room with the food stand, rug, dining table -> room with the bowl of fruit, coffee machine, kitchen island -> Region 2 <room with the clock, cabinet table, wall electronics>", "B) Region 1 <room with the tv, table, painting> -> room with the bowl of fruit, coffee machine, kitchen island -> Region 2 <room with the clock, cabinet table, wall electronics>", "C) Region 1 <room with the tv, table, painting> -> Region 2 <room with the clock, cabinet table, wall electronics>", "D) Region 1 <room with the tv, table, painting> -> room with the food stand, rug, dining table -> Region 2 <room with the clock, cabinet table, wall electronics>"], "answer": "A) Region 1 <room with the tv, table, painting> -> room with the food stand, rug, dining table -> room with the bowl of fruit, coffee machine, kitchen island -> Region 2 <room with the clock, cabinet table, wall electronics>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route0/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the floor lamp, painting, speaker> to Region 2 <room with the toilet, wall lamp, sink>?", "options": ["A) Region 1 <room with the floor lamp, painting, speaker> -> room with the mirror, food stand, rug -> room with the stairs, staircase handrail -> Region 2 <room with the toilet, wall lamp, sink>", "B) Region 1 <room with the floor lamp, painting, speaker> -> room with the mirror, food stand, rug -> Region 2 <room with the toilet, wall lamp, sink>", "C) Region 1 <room with the floor lamp, painting, speaker> -> room with the stairs, staircase handrail -> room with the mirror, food stand, rug -> Region 2 <room with the toilet, wall lamp, sink>", "D) Region 1 <room with the floor lamp, painting, speaker> -> Region 2 <room with the toilet, wall lamp, sink>"], "answer": "B) Region 1 <room with the floor lamp, painting, speaker> -> room with the mirror, food stand, rug -> Region 2 <room with the toilet, wall lamp, sink>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the mirror, food stand, rug> to Region 2 <room with the stairs, staircase handrail>?", "options": ["A) Region 1 <room with the mirror, food stand, rug> -> room with the toilet, wall lamp, sink -> room with the floor lamp, painting, speaker -> Region 2 <room with the stairs, staircase handrail>", "B) Region 1 <room with the mirror, food stand, rug> -> room with the floor lamp, painting, speaker -> Region 2 <room with the stairs, staircase handrail>", "C) Region 1 <room with the mirror, food stand, rug> -> room with the toilet, wall lamp, sink -> Region 2 <room with the stairs, staircase handrail>", "D) Region 1 <room with the mirror, food stand, rug> -> Region 2 <room with the stairs, staircase handrail>"], "answer": "C) Region 1 <room with the mirror, food stand, rug> -> room with the toilet, wall lamp, sink -> Region 2 <room with the stairs, staircase handrail>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the floor lamp, painting, speaker> to Region 2 <room with the stairs, staircase handrail>?", "options": ["A) Region 1 <room with the floor lamp, painting, speaker> -> room with the mirror, food stand, rug -> room with the toilet, wall lamp, sink -> Region 2 <room with the stairs, staircase handrail>", "B) Region 1 <room with the floor lamp, painting, speaker> -> room with the mirror, food stand, rug -> Region 2 <room with the stairs, staircase handrail>", "C) Region 1 <room with the floor lamp, painting, speaker> -> room with the toilet, wall lamp, sink -> room with the mirror, food stand, rug -> Region 2 <room with the stairs, staircase handrail>", "D) Region 1 <room with the floor lamp, painting, speaker> -> room with the toilet, wall lamp, sink -> Region 2 <room with the stairs, staircase handrail>"], "answer": "A) Region 1 <room with the floor lamp, painting, speaker> -> room with the mirror, food stand, rug -> room with the toilet, wall lamp, sink -> Region 2 <room with the stairs, staircase handrail>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route1/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, tap, coffee machine> to Region 2 <room with the file cabinet, computer mouse, bag>?", "options": ["A) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the box, clothes, basket of something -> Region 2 <room with the file cabinet, computer mouse, bag>", "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the file cabinet, computer mouse, bag>", "C) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, tv, fireplace -> room with the box, clothes, basket of something -> Region 2 <room with the file cabinet, computer mouse, bag>", "D) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the box, clothes, basket of something -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the file cabinet, computer mouse, bag>"], "answer": "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the file cabinet, computer mouse, bag>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, tv, fireplace> to Region 2 <room with the fireplace wall, tv, fireplace>?", "options": ["A) Region 1 <room with the fireplace wall, tv, fireplace> -> room with the file cabinet, computer mouse, bag -> Region 2 <room with the fireplace wall, tv, fireplace>", "B) Region 1 <room with the fireplace wall, tv, fireplace> -> Region 2 <room with the fireplace wall, tv, fireplace>", "C) Region 1 <room with the fireplace wall, tv, fireplace> -> room with the bowl of fruit, tap, coffee machine -> room with the file cabinet, computer mouse, bag -> Region 2 <room with the fireplace wall, tv, fireplace>", "D) Region 1 <room with the fireplace wall, tv, fireplace> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, tv, fireplace>"], "answer": "A) Region 1 <room with the fireplace wall, tv, fireplace> -> room with the file cabinet, computer mouse, bag -> Region 2 <room with the fireplace wall, tv, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, tap, coffee machine> to Region 2 <room with the fireplace wall, tv, fireplace>?", "options": ["A) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, tv, fireplace -> room with the file cabinet, computer mouse, bag -> Region 2 <room with the fireplace wall, tv, fireplace>", "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the file cabinet, computer mouse, bag -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the fireplace wall, tv, fireplace>", "C) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the fireplace wall, tv, fireplace>", "D) Region 1 <room with the bowl of fruit, tap, coffee machine> -> Region 2 <room with the fireplace wall, tv, fireplace>"], "answer": "A) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, tv, fireplace -> room with the file cabinet, computer mouse, bag -> Region 2 <room with the fireplace wall, tv, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route10/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, tap, coffee machine> to Region 2 <room with the printer, file cabinet, bag>?", "options": ["A) None", "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, file cabinet, bag>", "C) None", "D) Region 1 <room with the bowl of fruit, tap, coffee machine> -> Region 2 <room with the printer, file cabinet, bag>"], "answer": "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, file cabinet, bag>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route11/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route11/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route11/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall lamp, toilet> to Region 2 <room with the fireplace wall, tv, fireplace>?", "options": ["A) Region 1 <room with the wall lamp, toilet> -> Region 2 <room with the fireplace wall, tv, fireplace>", "B) Region 1 <room with the wall lamp, toilet> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, tv, fireplace>", "C) Region 1 <room with the wall lamp, toilet> -> room with the stack of papers, file cabinet, laptop -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, tv, fireplace>", "D) Region 1 <room with the wall lamp, toilet> -> room with the stack of papers, file cabinet, laptop -> Region 2 <room with the fireplace wall, tv, fireplace>"], "answer": "B) Region 1 <room with the wall lamp, toilet> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, tv, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, tap, coffee machine> to Region 2 <room with the stack of papers, file cabinet, laptop>?", "options": ["A) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the wall lamp, toilet -> Region 2 <room with the stack of papers, file cabinet, laptop>", "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> Region 2 <room with the stack of papers, file cabinet, laptop>", "C) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the wall lamp, toilet -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the stack of papers, file cabinet, laptop>", "D) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the stack of papers, file cabinet, laptop>"], "answer": "D) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the stack of papers, file cabinet, laptop>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the wall lamp, toilet> to Region 2 <room with the stack of papers, file cabinet, laptop>?", "options": ["A) Region 1 <room with the wall lamp, toilet> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the stack of papers, file cabinet, laptop>", "B) Region 1 <room with the wall lamp, toilet> -> room with the bowl of fruit, tap, coffee machine -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the stack of papers, file cabinet, laptop>", "C) Region 1 <room with the wall lamp, toilet> -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the stack of papers, file cabinet, laptop>", "D) Region 1 <room with the wall lamp, toilet> -> Region 2 <room with the stack of papers, file cabinet, laptop>"], "answer": "B) Region 1 <room with the wall lamp, toilet> -> room with the bowl of fruit, tap, coffee machine -> room with the fireplace wall, tv, fireplace -> Region 2 <room with the stack of papers, file cabinet, laptop>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route13/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clock, cabinet table, wall electronics> to Region 2 <room with the fireplace wall, fireplace, plush toy>?", "options": ["A) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the printer, monitor, pad -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "B) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "C) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> room with the printer, monitor, pad -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "D) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the printer, monitor, pad -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>"], "answer": "B) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen island, stove, bowl of fruit> to Region 2 <room with the printer, monitor, pad>?", "options": ["A) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the clock, cabinet table, wall electronics -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, monitor, pad>", "B) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the fireplace wall, fireplace, plush toy -> room with the clock, cabinet table, wall electronics -> Region 2 <room with the printer, monitor, pad>", "C) Region 1 <room with the kitchen island, stove, bowl of fruit> -> Region 2 <room with the printer, monitor, pad>", "D) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, monitor, pad>"], "answer": "D) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, monitor, pad>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clock, cabinet table, wall electronics> to Region 2 <room with the printer, monitor, pad>?", "options": ["A) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the printer, monitor, pad>", "B) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, monitor, pad>", "C) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, monitor, pad>", "D) Region 1 <room with the clock, cabinet table, wall electronics> -> Region 2 <room with the printer, monitor, pad>"], "answer": "C) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, monitor, pad>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route14/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clock, cabinet table, wall electronics> to Region 2 <room with the fireplace wall, fireplace, plush toy>?", "options": ["A) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "B) Region 1 <room with the clock, cabinet table, wall electronics> -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "C) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the printer, pad, stack of papers -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "D) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the printer, pad, stack of papers -> Region 2 <room with the fireplace wall, fireplace, plush toy>"], "answer": "A) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen island, stove, bowl of fruit> to Region 2 <room with the printer, pad, stack of papers>?", "options": ["A) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the clock, cabinet table, wall electronics -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, pad, stack of papers>", "B) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the fireplace wall, fireplace, plush toy -> room with the clock, cabinet table, wall electronics -> Region 2 <room with the printer, pad, stack of papers>", "C) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, pad, stack of papers>", "D) Region 1 <room with the kitchen island, stove, bowl of fruit> -> Region 2 <room with the printer, pad, stack of papers>"], "answer": "C) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, pad, stack of papers>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clock, cabinet table, wall electronics> to Region 2 <room with the printer, pad, stack of papers>?", "options": ["A) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, pad, stack of papers>", "B) Region 1 <room with the clock, cabinet table, wall electronics> -> Region 2 <room with the printer, pad, stack of papers>", "C) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the printer, pad, stack of papers>", "D) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, pad, stack of papers>"], "answer": "D) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, pad, stack of papers>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route15/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stairs, staircase handrail, painting> to Region 2 <room with the fireplace wall, wall electronics, tv>?", "options": ["A) Region 1 <room with the stairs, staircase handrail, painting> -> room with the printer, stack of papers, file cabinet -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, wall electronics, tv>", "B) Region 1 <room with the stairs, staircase handrail, painting> -> room with the bowl of fruit, tap, coffee machine -> room with the printer, stack of papers, file cabinet -> Region 2 <room with the fireplace wall, wall electronics, tv>", "C) Region 1 <room with the stairs, staircase handrail, painting> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, wall electronics, tv>", "D) Region 1 <room with the stairs, staircase handrail, painting> -> Region 2 <room with the fireplace wall, wall electronics, tv>"], "answer": "C) Region 1 <room with the stairs, staircase handrail, painting> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, wall electronics, tv>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, tap, coffee machine> to Region 2 <room with the printer, stack of papers, file cabinet>?", "options": ["A) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the stairs, staircase handrail, painting -> Region 2 <room with the printer, stack of papers, file cabinet>", "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> Region 2 <room with the printer, stack of papers, file cabinet>", "C) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, wall electronics, tv -> room with the stairs, staircase handrail, painting -> Region 2 <room with the printer, stack of papers, file cabinet>", "D) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, wall electronics, tv -> Region 2 <room with the printer, stack of papers, file cabinet>"], "answer": "D) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, wall electronics, tv -> Region 2 <room with the printer, stack of papers, file cabinet>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stairs, staircase handrail, painting> to Region 2 <room with the printer, stack of papers, file cabinet>?", "options": ["A) Region 1 <room with the stairs, staircase handrail, painting> -> Region 2 <room with the printer, stack of papers, file cabinet>", "B) Region 1 <room with the stairs, staircase handrail, painting> -> room with the fireplace wall, wall electronics, tv -> Region 2 <room with the printer, stack of papers, file cabinet>", "C) Region 1 <room with the stairs, staircase handrail, painting> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the printer, stack of papers, file cabinet>", "D) Region 1 <room with the stairs, staircase handrail, painting> -> room with the bowl of fruit, tap, coffee machine -> room with the fireplace wall, wall electronics, tv -> Region 2 <room with the printer, stack of papers, file cabinet>"], "answer": "D) Region 1 <room with the stairs, staircase handrail, painting> -> room with the bowl of fruit, tap, coffee machine -> room with the fireplace wall, wall electronics, tv -> Region 2 <room with the printer, stack of papers, file cabinet>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route16/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stairs, staircase handrail> to Region 2 <room with the fireplace wall, fireplace, throw blanket>?", "options": ["A) Region 1 <room with the stairs, staircase handrail> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, fireplace, throw blanket>", "B) Region 1 <room with the stairs, staircase handrail> -> Region 2 <room with the fireplace wall, fireplace, throw blanket>", "C) Region 1 <room with the stairs, staircase handrail> -> room with the stack of papers, keyboard, bag -> Region 2 <room with the fireplace wall, fireplace, throw blanket>", "D) Region 1 <room with the stairs, staircase handrail> -> room with the stack of papers, keyboard, bag -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, fireplace, throw blanket>"], "answer": "A) Region 1 <room with the stairs, staircase handrail> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, fireplace, throw blanket>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, tap, coffee machine> to Region 2 <room with the stack of papers, keyboard, bag>?", "options": ["A) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the stairs, staircase handrail -> room with the fireplace wall, fireplace, throw blanket -> Region 2 <room with the stack of papers, keyboard, bag>", "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, fireplace, throw blanket -> Region 2 <room with the stack of papers, keyboard, bag>", "C) Region 1 <room with the bowl of fruit, tap, coffee machine> -> Region 2 <room with the stack of papers, keyboard, bag>", "D) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the stairs, staircase handrail -> Region 2 <room with the stack of papers, keyboard, bag>"], "answer": "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, fireplace, throw blanket -> Region 2 <room with the stack of papers, keyboard, bag>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the stairs, staircase handrail> to Region 2 <room with the stack of papers, keyboard, bag>?", "options": ["A) Region 1 <room with the stairs, staircase handrail> -> Region 2 <room with the stack of papers, keyboard, bag>", "B) Region 1 <room with the stairs, staircase handrail> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the stack of papers, keyboard, bag>", "C) Region 1 <room with the stairs, staircase handrail> -> room with the bowl of fruit, tap, coffee machine -> room with the fireplace wall, fireplace, throw blanket -> Region 2 <room with the stack of papers, keyboard, bag>", "D) Region 1 <room with the stairs, staircase handrail> -> room with the fireplace wall, fireplace, throw blanket -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the stack of papers, keyboard, bag>"], "answer": "C) Region 1 <room with the stairs, staircase handrail> -> room with the bowl of fruit, tap, coffee machine -> room with the fireplace wall, fireplace, throw blanket -> Region 2 <room with the stack of papers, keyboard, bag>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route18/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the fireplace wall, fireplace, plush toy> to Region 2 <room with the clock, cabinet table, wall electronics>?", "options": ["A) None", "B) None", "C) Region 1 <room with the fireplace wall, fireplace, plush toy> -> Region 2 <room with the clock, cabinet table, wall electronics>", "D) Region 1 <room with the fireplace wall, fireplace, plush toy> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the clock, cabinet table, wall electronics>"], "answer": "D) Region 1 <room with the fireplace wall, fireplace, plush toy> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the clock, cabinet table, wall electronics>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route19/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route19/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route19/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the floor lamp, painting, tv> to Region 2 <room with the stairs, staircase handrail>?", "options": ["A) Region 1 <room with the floor lamp, painting, tv> -> room with the clock, cabinet table, wall electronics -> room with the curtain rod, food stand, rug -> Region 2 <room with the stairs, staircase handrail>", "B) Region 1 <room with the floor lamp, painting, tv> -> room with the curtain rod, food stand, rug -> Region 2 <room with the stairs, staircase handrail>", "C) Region 1 <room with the floor lamp, painting, tv> -> Region 2 <room with the stairs, staircase handrail>", "D) Region 1 <room with the floor lamp, painting, tv> -> room with the curtain rod, food stand, rug -> room with the clock, cabinet table, wall electronics -> Region 2 <room with the stairs, staircase handrail>"], "answer": "B) Region 1 <room with the floor lamp, painting, tv> -> room with the curtain rod, food stand, rug -> Region 2 <room with the stairs, staircase handrail>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, food stand, rug> to Region 2 <room with the clock, cabinet table, wall electronics>?", "options": ["A) Region 1 <room with the curtain rod, food stand, rug> -> room with the stairs, staircase handrail -> Region 2 <room with the clock, cabinet table, wall electronics>", "B) Region 1 <room with the curtain rod, food stand, rug> -> room with the floor lamp, painting, tv -> Region 2 <room with the clock, cabinet table, wall electronics>", "C) Region 1 <room with the curtain rod, food stand, rug> -> Region 2 <room with the clock, cabinet table, wall electronics>", "D) Region 1 <room with the curtain rod, food stand, rug> -> room with the floor lamp, painting, tv -> room with the stairs, staircase handrail -> Region 2 <room with the clock, cabinet table, wall electronics>"], "answer": "A) Region 1 <room with the curtain rod, food stand, rug> -> room with the stairs, staircase handrail -> Region 2 <room with the clock, cabinet table, wall electronics>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the floor lamp, painting, tv> to Region 2 <room with the clock, cabinet table, wall electronics>?", "options": ["A) Region 1 <room with the floor lamp, painting, tv> -> room with the stairs, staircase handrail -> Region 2 <room with the clock, cabinet table, wall electronics>", "B) Region 1 <room with the floor lamp, painting, tv> -> room with the curtain rod, food stand, rug -> room with the stairs, staircase handrail -> Region 2 <room with the clock, cabinet table, wall electronics>", "C) Region 1 <room with the floor lamp, painting, tv> -> room with the stairs, staircase handrail -> room with the curtain rod, food stand, rug -> Region 2 <room with the clock, cabinet table, wall electronics>", "D) Region 1 <room with the floor lamp, painting, tv> -> room with the curtain rod, food stand, rug -> Region 2 <room with the clock, cabinet table, wall electronics>"], "answer": "B) Region 1 <room with the floor lamp, painting, tv> -> room with the curtain rod, food stand, rug -> room with the stairs, staircase handrail -> Region 2 <room with the clock, cabinet table, wall electronics>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route2/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the clock, cabinet table, wall electronics> to Region 2 <room with the printer, monitor, pad>?", "options": ["A) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, monitor, pad>", "B) None", "C) None", "D) None"], "answer": "A) Region 1 <room with the clock, cabinet table, wall electronics> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the printer, monitor, pad>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route20/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route20/cam0/cam0.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route20/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the speaker, tv, shelf> to Region 2 <room with the kitchen island, stove, bowl of fruit>?", "options": ["A) Region 1 <room with the speaker, tv, shelf> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the kitchen island, stove, bowl of fruit>", "B) Region 1 <room with the speaker, tv, shelf> -> room with the food stand, dining table, chandelier -> Region 2 <room with the kitchen island, stove, bowl of fruit>", "C) Region 1 <room with the speaker, tv, shelf> -> Region 2 <room with the kitchen island, stove, bowl of fruit>", "D) Region 1 <room with the speaker, tv, shelf> -> room with the fireplace wall, fireplace, plush toy -> room with the food stand, dining table, chandelier -> Region 2 <room with the kitchen island, stove, bowl of fruit>"], "answer": "B) Region 1 <room with the speaker, tv, shelf> -> room with the food stand, dining table, chandelier -> Region 2 <room with the kitchen island, stove, bowl of fruit>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the food stand, dining table, chandelier> to Region 2 <room with the fireplace wall, fireplace, plush toy>?", "options": ["A) Region 1 <room with the food stand, dining table, chandelier> -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "B) Region 1 <room with the food stand, dining table, chandelier> -> room with the kitchen island, stove, bowl of fruit -> room with the speaker, tv, shelf -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "C) Region 1 <room with the food stand, dining table, chandelier> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "D) Region 1 <room with the food stand, dining table, chandelier> -> room with the speaker, tv, shelf -> Region 2 <room with the fireplace wall, fireplace, plush toy>"], "answer": "C) Region 1 <room with the food stand, dining table, chandelier> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the speaker, tv, shelf> to Region 2 <room with the fireplace wall, fireplace, plush toy>?", "options": ["A) Region 1 <room with the speaker, tv, shelf> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "B) Region 1 <room with the speaker, tv, shelf> -> room with the food stand, dining table, chandelier -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "C) Region 1 <room with the speaker, tv, shelf> -> room with the kitchen island, stove, bowl of fruit -> room with the food stand, dining table, chandelier -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "D) Region 1 <room with the speaker, tv, shelf> -> room with the food stand, dining table, chandelier -> Region 2 <room with the fireplace wall, fireplace, plush toy>"], "answer": "B) Region 1 <room with the speaker, tv, shelf> -> room with the food stand, dining table, chandelier -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route3/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route3/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route3/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the floor lamp, tv, painting> to Region 2 <room with the fireplace wall, fireplace, plush toy>?", "options": ["A) Region 1 <room with the floor lamp, tv, painting> -> room with the kitchen island, stove, bowl of fruit -> room with the curtain rod, mirror, food stand -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "B) Region 1 <room with the floor lamp, tv, painting> -> room with the kitchen island, stove, bowl of fruit -> room with the curtain rod, mirror, food stand -> room with the file cabinet, computer mouse, bag -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "C) Region 1 <room with the floor lamp, tv, painting> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "D) Region 1 <room with the floor lamp, tv, painting> -> room with the curtain rod, mirror, food stand -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>"], "answer": "D) Region 1 <room with the floor lamp, tv, painting> -> room with the curtain rod, mirror, food stand -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, mirror, food stand> to Region 2 <room with the file cabinet, computer mouse, bag>?", "options": ["A) Region 1 <room with the curtain rod, mirror, food stand> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>", "B) Region 1 <room with the curtain rod, mirror, food stand> -> room with the floor lamp, tv, painting -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>", "C) Region 1 <room with the curtain rod, mirror, food stand> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>", "D) Region 1 <room with the curtain rod, mirror, food stand> -> room with the floor lamp, tv, painting -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the file cabinet, computer mouse, bag>"], "answer": "C) Region 1 <room with the curtain rod, mirror, food stand> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the floor lamp, tv, painting> to Region 2 <room with the file cabinet, computer mouse, bag>?", "options": ["A) Region 1 <room with the floor lamp, tv, painting> -> room with the fireplace wall, fireplace, plush toy -> room with the kitchen island, stove, bowl of fruit -> room with the curtain rod, mirror, food stand -> Region 2 <room with the file cabinet, computer mouse, bag>", "B) Region 1 <room with the floor lamp, tv, painting> -> room with the curtain rod, mirror, food stand -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>", "C) Region 1 <room with the floor lamp, tv, painting> -> room with the fireplace wall, fireplace, plush toy -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the file cabinet, computer mouse, bag>", "D) Region 1 <room with the floor lamp, tv, painting> -> room with the fireplace wall, fireplace, plush toy -> room with the curtain rod, mirror, food stand -> Region 2 <room with the file cabinet, computer mouse, bag>"], "answer": "B) Region 1 <room with the floor lamp, tv, painting> -> room with the curtain rod, mirror, food stand -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route5/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, mirror, food stand> to Region 2 <room with the fireplace wall, wall electronics, fireplace>?", "options": ["A) Region 1 <room with the curtain rod, mirror, food stand> -> Region 2 <room with the fireplace wall, wall electronics, fireplace>", "B) Region 1 <room with the curtain rod, mirror, food stand> -> room with the printer, stack of papers, file cabinet -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, wall electronics, fireplace>", "C) Region 1 <room with the curtain rod, mirror, food stand> -> room with the printer, stack of papers, file cabinet -> Region 2 <room with the fireplace wall, wall electronics, fireplace>", "D) Region 1 <room with the curtain rod, mirror, food stand> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, wall electronics, fireplace>"], "answer": "D) Region 1 <room with the curtain rod, mirror, food stand> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the fireplace wall, wall electronics, fireplace>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the bowl of fruit, tap, coffee machine> to Region 2 <room with the printer, stack of papers, file cabinet>?", "options": ["A) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the curtain rod, mirror, food stand -> room with the fireplace wall, wall electronics, fireplace -> Region 2 <room with the printer, stack of papers, file cabinet>", "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, wall electronics, fireplace -> Region 2 <room with the printer, stack of papers, file cabinet>", "C) Region 1 <room with the bowl of fruit, tap, coffee machine> -> Region 2 <room with the printer, stack of papers, file cabinet>", "D) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the curtain rod, mirror, food stand -> Region 2 <room with the printer, stack of papers, file cabinet>"], "answer": "B) Region 1 <room with the bowl of fruit, tap, coffee machine> -> room with the fireplace wall, wall electronics, fireplace -> Region 2 <room with the printer, stack of papers, file cabinet>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the curtain rod, mirror, food stand> to Region 2 <room with the printer, stack of papers, file cabinet>?", "options": ["A) Region 1 <room with the curtain rod, mirror, food stand> -> Region 2 <room with the printer, stack of papers, file cabinet>", "B) Region 1 <room with the curtain rod, mirror, food stand> -> room with the fireplace wall, wall electronics, fireplace -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the printer, stack of papers, file cabinet>", "C) Region 1 <room with the curtain rod, mirror, food stand> -> room with the bowl of fruit, tap, coffee machine -> Region 2 <room with the printer, stack of papers, file cabinet>", "D) Region 1 <room with the curtain rod, mirror, food stand> -> room with the bowl of fruit, tap, coffee machine -> room with the fireplace wall, wall electronics, fireplace -> Region 2 <room with the printer, stack of papers, file cabinet>"], "answer": "D) Region 1 <room with the curtain rod, mirror, food stand> -> room with the bowl of fruit, tap, coffee machine -> room with the fireplace wall, wall electronics, fireplace -> Region 2 <room with the printer, stack of papers, file cabinet>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route6/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the food stand, dining table, chandelier> to Region 2 <room with the fireplace wall, fireplace, plush toy>?", "options": ["A) Region 1 <room with the food stand, dining table, chandelier> -> room with the file cabinet, computer mouse, bag -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "B) Region 1 <room with the food stand, dining table, chandelier> -> room with the kitchen island, stove, bowl of fruit -> room with the file cabinet, computer mouse, bag -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "C) Region 1 <room with the food stand, dining table, chandelier> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "D) Region 1 <room with the food stand, dining table, chandelier> -> room with the file cabinet, computer mouse, bag -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>"], "answer": "C) Region 1 <room with the food stand, dining table, chandelier> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the fireplace wall, fireplace, plush toy>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the kitchen island, stove, bowl of fruit> to Region 2 <room with the file cabinet, computer mouse, bag>?", "options": ["A) Region 1 <room with the kitchen island, stove, bowl of fruit> -> Region 2 <room with the file cabinet, computer mouse, bag>", "B) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the fireplace wall, fireplace, plush toy -> room with the food stand, dining table, chandelier -> Region 2 <room with the file cabinet, computer mouse, bag>", "C) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the food stand, dining table, chandelier -> Region 2 <room with the file cabinet, computer mouse, bag>", "D) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>"], "answer": "D) Region 1 <room with the kitchen island, stove, bowl of fruit> -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Holistic_Aggregation", "task": "Habitat_Route_Planning", "question": "Based on the spatial layout shown across the videos, what is the shortest possible path to travel from Region 1 <room with the food stand, dining table, chandelier> to Region 2 <room with the file cabinet, computer mouse, bag>?", "options": ["A) Region 1 <room with the food stand, dining table, chandelier> -> room with the fireplace wall, fireplace, plush toy -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the file cabinet, computer mouse, bag>", "B) Region 1 <room with the food stand, dining table, chandelier> -> room with the kitchen island, stove, bowl of fruit -> Region 2 <room with the file cabinet, computer mouse, bag>", "C) Region 1 <room with the food stand, dining table, chandelier> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>", "D) Region 1 <room with the food stand, dining table, chandelier> -> Region 2 <room with the file cabinet, computer mouse, bag>"], "answer": "C) Region 1 <room with the food stand, dining table, chandelier> -> room with the kitchen island, stove, bowl of fruit -> room with the fireplace wall, fireplace, plush toy -> Region 2 <room with the file cabinet, computer mouse, bag>", "videos": ["dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam1/cam1.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam2/cam2.mp4", "dataset/habitat_data/route_plan/val/zt1RVoi7PcG/route8/cam0/cam0.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall clock' is clearly visible from 3.8s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall clock' in Video 2.", "options": ["A) 7.2s to 10.0s", "B) 9.2s to 12.0s", "C) 10.2s to 13.0s", "D) 8.2s to 11.0s"], "answer": "D) 8.2s to 11.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall clock' is clearly visible from 3.8s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall clock' in Video 2.", "options": ["A) 3.2s to 6.2s", "B) 2.2s to 5.2s", "C) 0.2s to 3.2s", "D) 1.2s to 4.2s"], "answer": "D) 1.2s to 4.2s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall clock' is clearly visible from 8.2s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall clock' in Video 2.", "options": ["A) 3.2s to 6.2s", "B) 2.2s to 5.2s", "C) 1.2s to 4.2s", "D) 0.2s to 3.2s"], "answer": "C) 1.2s to 4.2s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 5.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 6.4s to 6.8s", "B) 4.4s to 4.8s", "C) 5.4s to 5.8s", "D) 3.4s to 3.8s"], "answer": "B) 4.4s to 4.8s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 5.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 10.4s to 17.2s", "B) 8.4s to 15.2s", "C) 9.4s to 16.2s", "D) 11.4s to 18.2s"], "answer": "C) 9.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 10.6s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 9.4s to 16.2s", "B) 8.4s to 15.2s", "C) 11.4s to 18.2s", "D) 10.4s to 17.2s"], "answer": "A) 9.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 9.4s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 13.0s to 16.0s", "B) 15.0s to 18.0s", "C) 16.0s to 19.0s", "D) 14.0s to 17.0s"], "answer": "D) 14.0s to 17.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.0s to 11.4s", "B) 12.0s to 13.4s", "C) 9.0s to 10.4s", "D) 11.0s to 12.4s"], "answer": "A) 10.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.8s to 15.4s", "B) 12.8s to 17.4s", "C) 11.8s to 16.4s", "D) 13.8s to 18.4s"], "answer": "C) 11.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 10.0s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.8s to 15.4s", "B) 13.8s to 18.4s", "C) 12.8s to 17.4s", "D) 11.8s to 16.4s"], "answer": "D) 11.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting frame' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting frame' in Video 2.", "options": ["A) 9.8s to 11.4s", "B) 8.8s to 10.4s", "C) 10.8s to 12.4s", "D) 11.8s to 13.4s"], "answer": "A) 9.8s to 11.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting frame' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting frame' in Video 2.", "options": ["A) 12.6s to 17.4s", "B) 10.6s to 15.4s", "C) 13.6s to 18.4s", "D) 11.6s to 16.4s"], "answer": "D) 11.6s to 16.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting frame' is clearly visible from 9.8s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting frame' in Video 2.", "options": ["A) 10.6s to 15.4s", "B) 12.6s to 17.4s", "C) 13.6s to 18.4s", "D) 11.6s to 16.4s"], "answer": "D) 11.6s to 16.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 9.8s to 11.4s", "B) 10.8s to 12.4s", "C) 11.8s to 13.4s", "D) 8.8s to 10.4s"], "answer": "A) 9.8s to 11.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 12.4s to 17.6s", "B) 11.4s to 16.6s", "C) 10.4s to 15.6s", "D) 13.4s to 18.6s"], "answer": "B) 11.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 9.8s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 12.4s to 17.6s", "B) 10.4s to 15.6s", "C) 11.4s to 16.6s", "D) 13.4s to 18.6s"], "answer": "C) 11.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp table' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp table' in Video 2.", "options": ["A) 9.8s to 11.4s", "B) 8.8s to 10.4s", "C) 11.8s to 13.4s", "D) 10.8s to 12.4s"], "answer": "A) 9.8s to 11.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp table' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp table' in Video 2.", "options": ["A) 12.4s to 16.6s", "B) 13.4s to 17.6s", "C) 11.4s to 15.6s", "D) 14.4s to 18.6s"], "answer": "A) 12.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp table' is clearly visible from 9.8s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp table' in Video 2.", "options": ["A) 12.4s to 16.6s", "B) 11.4s to 15.6s", "C) 14.4s to 18.6s", "D) 13.4s to 17.6s"], "answer": "A) 12.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 11.8s to 13.4s", "B) 10.8s to 12.4s", "C) 8.8s to 10.4s", "D) 9.8s to 11.4s"], "answer": "D) 9.8s to 11.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 1.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 11.4s to 15.6s", "B) 13.4s to 17.6s", "C) 12.4s to 16.6s", "D) 14.4s to 18.6s"], "answer": "C) 12.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 9.8s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 14.4s to 18.6s", "B) 12.4s to 16.6s", "C) 13.4s to 17.6s", "D) 11.4s to 15.6s"], "answer": "B) 12.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 0.0s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 12.4s to 13.4s", "B) 10.4s to 11.4s", "C) 11.4s to 12.4s", "D) 9.4s to 10.4s"], "answer": "B) 10.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 0.0s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 6.4s to 15.0s", "B) 8.4s to 17.0s", "C) 9.4s to 18.0s", "D) 7.4s to 16.0s"], "answer": "D) 7.4s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 10.4s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 7.4s to 16.0s", "B) 9.4s to 18.0s", "C) 8.4s to 17.0s", "D) 6.4s to 15.0s"], "answer": "A) 7.4s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 0.2s to 5.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 10.4s to 11.4s", "B) 9.4s to 10.4s", "C) 11.4s to 12.4s", "D) 12.4s to 13.4s"], "answer": "A) 10.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 0.2s to 5.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 9.8s to 17.0s", "B) 8.8s to 16.0s", "C) 7.8s to 15.0s", "D) 10.8s to 18.0s"], "answer": "B) 8.8s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 10.4s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 7.8s to 15.0s", "B) 10.8s to 18.0s", "C) 9.8s to 17.0s", "D) 8.8s to 16.0s"], "answer": "D) 8.8s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 0.6s to 1.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 9.4s to 11.0s", "B) 12.4s to 14.0s", "C) 11.4s to 13.0s", "D) 10.4s to 12.0s"], "answer": "D) 10.4s to 12.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 0.6s to 1.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 8.2s to 17.0s", "B) 6.2s to 15.0s", "C) 7.2s to 16.0s", "D) 9.2s to 18.0s"], "answer": "C) 7.2s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 10.4s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 6.2s to 15.0s", "B) 9.2s to 18.0s", "C) 7.2s to 16.0s", "D) 8.2s to 17.0s"], "answer": "C) 7.2s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 0.0s to 1.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 8.2s to 16.0s", "B) 7.2s to 15.0s", "C) 9.2s to 17.0s", "D) 10.2s to 18.0s"], "answer": "A) 8.2s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 0.0s to 1.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 9.0s to 17.6s", "B) 6.0s to 14.6s", "C) 7.0s to 15.6s", "D) 8.0s to 16.6s"], "answer": "C) 7.0s to 15.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 0.6s to 5.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 10.4s to 11.2s", "B) 9.4s to 10.2s", "C) 11.4s to 12.2s", "D) 12.4s to 13.2s"], "answer": "A) 10.4s to 11.2s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 10.2s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 13.8s to 17.4s", "B) 11.8s to 15.4s", "C) 14.8s to 18.4s", "D) 12.8s to 16.4s"], "answer": "D) 12.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dishwasher' is clearly visible from 1.0s to 4.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'dishwasher' in Video 2.", "options": ["A) 4.6s to 5.6s", "B) 6.6s to 7.6s", "C) 5.6s to 6.6s", "D) 3.6s to 4.6s"], "answer": "A) 4.6s to 5.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 19.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 4.4s to 5.0s", "B) 6.4s to 7.0s", "C) 3.4s to 4.0s", "D) 5.4s to 6.0s"], "answer": "A) 4.4s to 5.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 0.6s to 4.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 12.2s to 14.0s", "B) 9.2s to 11.0s", "C) 11.2s to 13.0s", "D) 10.2s to 12.0s"], "answer": "D) 10.2s to 12.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.2s to 10.0s", "B) 8.2s to 9.0s", "C) 6.2s to 7.0s", "D) 7.2s to 8.0s"], "answer": "D) 7.2s to 8.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 10.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.4s to 11.2s", "B) 6.4s to 8.2s", "C) 8.4s to 10.2s", "D) 7.4s to 9.2s"], "answer": "D) 7.4s to 9.2s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 10.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 1.2s to 4.8s", "B) 3.2s to 6.8s", "C) 0.2s to 3.8s", "D) 2.2s to 5.8s"], "answer": "C) 0.2s to 3.8s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 7.4s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 2.2s to 5.8s", "B) 3.2s to 6.8s", "C) 1.2s to 4.8s", "D) 0.2s to 3.8s"], "answer": "D) 0.2s to 3.8s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 10.6s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 8.8s to 10.4s", "B) 9.8s to 11.4s", "C) 7.8s to 9.4s", "D) 6.8s to 8.4s"], "answer": "C) 7.8s to 9.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 10.6s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 1.0s to 4.6s", "B) 2.0s to 5.6s", "C) 0.0s to 3.6s", "D) 3.0s to 6.6s"], "answer": "C) 0.0s to 3.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 7.8s to 9.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 1.0s to 4.6s", "B) 0.0s to 3.6s", "C) 3.0s to 6.6s", "D) 2.0s to 5.6s"], "answer": "B) 0.0s to 3.6s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 0.0s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 7.8s to 15.0s", "B) 10.8s to 18.0s", "C) 8.8s to 16.0s", "D) 9.8s to 17.0s"], "answer": "C) 8.8s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 3.8s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 7.4s to 16.0s", "B) 6.4s to 15.0s", "C) 9.4s to 18.0s", "D) 8.4s to 17.0s"], "answer": "A) 7.4s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling fan' is clearly visible from 3.6s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling fan' in Video 2.", "options": ["A) 10.4s to 11.4s", "B) 11.4s to 12.4s", "C) 12.4s to 13.4s", "D) 9.4s to 10.4s"], "answer": "A) 10.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling fan' is clearly visible from 0.0s to 3.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling fan' in Video 2.", "options": ["A) 7.8s to 16.0s", "B) 8.8s to 17.0s", "C) 6.8s to 15.0s", "D) 9.8s to 18.0s"], "answer": "A) 7.8s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling fan' is clearly visible from 10.4s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling fan' in Video 2.", "options": ["A) 7.8s to 16.0s", "B) 9.8s to 18.0s", "C) 6.8s to 15.0s", "D) 8.8s to 17.0s"], "answer": "A) 7.8s to 16.0s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bathroom cabinet' is clearly visible from 0.0s to 1.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'bathroom cabinet' in Video 2.", "options": ["A) 13.0s to 15.4s", "B) 12.0s to 14.4s", "C) 10.0s to 12.4s", "D) 11.0s to 13.4s"], "answer": "D) 11.0s to 13.4s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bathroom cabinet' is clearly visible from 0.0s to 1.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'bathroom cabinet' in Video 2.", "options": ["A) 8.6s to 9.2s", "B) 7.6s to 8.2s", "C) 10.6s to 11.2s", "D) 9.6s to 10.2s"], "answer": "A) 8.6s to 9.2s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam0/cam0.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bathroom cabinet' is clearly visible from 11.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bathroom cabinet' in Video 2.", "options": ["A) 10.6s to 11.2s", "B) 7.6s to 8.2s", "C) 9.6s to 10.2s", "D) 8.6s to 9.2s"], "answer": "D) 8.6s to 9.2s", "videos": ["dataset/habitat_data/general/val/4ok3usBNeis/cam1/cam1.mp4", "dataset/habitat_data/general/val/4ok3usBNeis/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 5.8s to 7.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 3.6s to 4.6s", "B) 1.6s to 2.6s", "C) 4.6s to 5.6s", "D) 2.6s to 3.6s"], "answer": "D) 2.6s to 3.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 6.2s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 11.6s to 12.8s", "B) 12.6s to 13.8s", "C) 13.6s to 14.8s", "D) 10.6s to 11.8s"], "answer": "A) 11.6s to 12.8s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 6.2s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 1.8s to 7.6s", "B) 3.8s to 9.6s", "C) 0.8s to 6.6s", "D) 2.8s to 8.6s"], "answer": "C) 0.8s to 6.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 11.6s to 12.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 2.8s to 8.6s", "B) 0.8s to 6.6s", "C) 1.8s to 7.6s", "D) 3.8s to 9.6s"], "answer": "B) 0.8s to 6.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 13.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 10.4s to 13.0s", "B) 11.4s to 14.0s", "C) 12.4s to 15.0s", "D) 9.4s to 12.0s"], "answer": "A) 10.4s to 13.0s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 13.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 0.0s to 7.4s", "B) 1.0s to 8.4s", "C) 2.0s to 9.4s", "D) 3.0s to 10.4s"], "answer": "A) 0.0s to 7.4s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 10.4s to 13.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 1.0s to 8.4s", "B) 3.0s to 10.4s", "C) 0.0s to 7.4s", "D) 2.0s to 9.4s"], "answer": "C) 0.0s to 7.4s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 5.8s to 8.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 12.4s to 14.2s", "B) 13.4s to 15.2s", "C) 10.4s to 12.2s", "D) 11.4s to 13.2s"], "answer": "D) 11.4s to 13.2s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 5.8s to 8.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 3.4s to 10.6s", "B) 0.4s to 7.6s", "C) 1.4s to 8.6s", "D) 2.4s to 9.6s"], "answer": "B) 0.4s to 7.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 11.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 2.4s to 9.6s", "B) 3.4s to 10.6s", "C) 0.4s to 7.6s", "D) 1.4s to 8.6s"], "answer": "C) 0.4s to 7.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'washing machine' is clearly visible from 5.8s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'washing machine' in Video 2.", "options": ["A) 7.0s to 12.0s", "B) 8.0s to 13.0s", "C) 9.0s to 14.0s", "D) 10.0s to 15.0s"], "answer": "B) 8.0s to 13.0s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 13.2s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 9.2s to 10.4s", "B) 7.2s to 8.4s", "C) 10.2s to 11.4s", "D) 8.2s to 9.4s"], "answer": "D) 8.2s to 9.4s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 1.6s to 2.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 12.2s to 14.6s", "B) 15.2s to 17.6s", "C) 14.2s to 16.6s", "D) 13.2s to 15.6s"], "answer": "D) 13.2s to 15.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 0.2s to 2.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 15.2s to 17.6s", "B) 14.2s to 16.6s", "C) 13.2s to 15.6s", "D) 12.2s to 14.6s"], "answer": "C) 13.2s to 15.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 0.2s to 2.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 8.2s to 9.6s", "B) 7.2s to 8.6s", "C) 10.2s to 11.6s", "D) 9.2s to 10.6s"], "answer": "A) 8.2s to 9.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 13.2s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 8.2s to 9.6s", "B) 9.2s to 10.6s", "C) 10.2s to 11.6s", "D) 7.2s to 8.6s"], "answer": "A) 8.2s to 9.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window curtain' is clearly visible from 13.4s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window curtain' in Video 2.", "options": ["A) 8.2s to 9.6s", "B) 9.2s to 10.6s", "C) 7.2s to 8.6s", "D) 10.2s to 11.6s"], "answer": "A) 8.2s to 9.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 13.4s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 8.2s to 9.4s", "B) 9.2s to 10.4s", "C) 10.2s to 11.4s", "D) 7.2s to 8.4s"], "answer": "A) 8.2s to 9.4s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen shelf' is clearly visible from 0.0s to 2.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen shelf' in Video 2.", "options": ["A) 14.2s to 15.4s", "B) 13.2s to 14.4s", "C) 12.2s to 13.4s", "D) 15.2s to 16.4s"], "answer": "B) 13.2s to 14.4s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen shelf' is clearly visible from 0.0s to 2.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen shelf' in Video 2.", "options": ["A) 12.2s to 13.6s", "B) 14.2s to 15.6s", "C) 15.2s to 16.6s", "D) 13.2s to 14.6s"], "answer": "D) 13.2s to 14.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall hanging decoration' is clearly visible from 4.6s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall hanging decoration' in Video 2.", "options": ["A) 11.0s to 12.4s", "B) 13.0s to 14.4s", "C) 12.0s to 13.4s", "D) 14.0s to 15.4s"], "answer": "C) 12.0s to 13.4s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall hanging decoration' is clearly visible from 4.6s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall hanging decoration' in Video 2.", "options": ["A) 4.6s to 11.2s", "B) 5.6s to 12.2s", "C) 2.6s to 9.2s", "D) 3.6s to 10.2s"], "answer": "D) 3.6s to 10.2s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall hanging decoration' is clearly visible from 12.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall hanging decoration' in Video 2.", "options": ["A) 2.6s to 9.2s", "B) 3.6s to 10.2s", "C) 5.6s to 12.2s", "D) 4.6s to 11.2s"], "answer": "B) 3.6s to 10.2s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 11.8s to 14.2s", "B) 10.8s to 13.2s", "C) 9.8s to 12.2s", "D) 8.8s to 11.2s"], "answer": "C) 9.8s to 12.2s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.0s to 7.6s", "B) 1.0s to 6.6s", "C) 0.0s to 5.6s", "D) 3.0s to 8.6s"], "answer": "C) 0.0s to 5.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 9.8s to 12.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 1.0s to 6.6s", "B) 0.0s to 5.6s", "C) 3.0s to 8.6s", "D) 2.0s to 7.6s"], "answer": "B) 0.0s to 5.6s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'end table' is clearly visible from 10.4s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'end table' in Video 2.", "options": ["A) 0.0s to 6.0s", "B) 2.0s to 8.0s", "C) 3.0s to 9.0s", "D) 1.0s to 7.0s"], "answer": "A) 0.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'l-shaped sofa' is clearly visible from 13.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'l-shaped sofa' in Video 2.", "options": ["A) 9.6s to 12.0s", "B) 12.6s to 15.0s", "C) 11.6s to 14.0s", "D) 10.6s to 13.0s"], "answer": "D) 10.6s to 13.0s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'l-shaped sofa' is clearly visible from 13.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'l-shaped sofa' in Video 2.", "options": ["A) 2.0s to 9.4s", "B) 1.0s to 8.4s", "C) 0.0s to 7.4s", "D) 3.0s to 10.4s"], "answer": "C) 0.0s to 7.4s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam0/cam0.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'l-shaped sofa' is clearly visible from 10.6s to 13.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'l-shaped sofa' in Video 2.", "options": ["A) 3.0s to 10.4s", "B) 2.0s to 9.4s", "C) 1.0s to 8.4s", "D) 0.0s to 7.4s"], "answer": "D) 0.0s to 7.4s", "videos": ["dataset/habitat_data/general/val/5cdEh9F2hJL/cam1/cam1.mp4", "dataset/habitat_data/general/val/5cdEh9F2hJL/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radiator' is clearly visible from 18.2s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'radiator' in Video 2.", "options": ["A) 10.0s to 12.6s", "B) 13.0s to 15.6s", "C) 11.0s to 13.6s", "D) 12.0s to 14.6s"], "answer": "C) 11.0s to 13.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radiator' is clearly visible from 18.2s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'radiator' in Video 2.", "options": ["A) 12.0s to 14.6s", "B) 11.0s to 13.6s", "C) 9.0s to 11.6s", "D) 10.0s to 12.6s"], "answer": "D) 10.0s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radiator' is clearly visible from 11.0s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'radiator' in Video 2.", "options": ["A) 10.0s to 12.6s", "B) 11.0s to 13.6s", "C) 9.0s to 11.6s", "D) 12.0s to 14.6s"], "answer": "A) 10.0s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 9.8s to 13.0s", "B) 11.8s to 15.0s", "C) 12.8s to 16.0s", "D) 10.8s to 14.0s"], "answer": "D) 10.8s to 14.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 10.0s to 12.6s", "B) 12.0s to 14.6s", "C) 9.0s to 11.6s", "D) 11.0s to 13.6s"], "answer": "A) 10.0s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 10.8s to 14.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 12.0s to 14.6s", "B) 10.0s to 12.6s", "C) 11.0s to 13.6s", "D) 9.0s to 11.6s"], "answer": "B) 10.0s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 11.8s to 15.0s", "B) 10.8s to 14.0s", "C) 12.8s to 16.0s", "D) 9.8s to 13.0s"], "answer": "B) 10.8s to 14.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 17.2s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 3.6s to 4.2s", "B) 6.6s to 7.2s", "C) 4.6s to 5.2s", "D) 5.6s to 6.2s"], "answer": "C) 4.6s to 5.2s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 18.0s to 18.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 6.6s to 7.2s", "B) 5.6s to 6.2s", "C) 3.6s to 4.2s", "D) 4.6s to 5.2s"], "answer": "D) 4.6s to 5.2s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 10.8s to 13.8s", "B) 11.8s to 14.8s", "C) 12.8s to 15.8s", "D) 9.8s to 12.8s"], "answer": "A) 10.8s to 13.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 9.4s to 11.0s", "B) 11.4s to 13.0s", "C) 10.4s to 12.0s", "D) 12.4s to 14.0s"], "answer": "C) 10.4s to 12.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 10.8s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 12.4s to 14.0s", "B) 11.4s to 13.0s", "C) 9.4s to 11.0s", "D) 10.4s to 12.0s"], "answer": "D) 10.4s to 12.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 18.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.8s to 15.8s", "B) 10.8s to 13.8s", "C) 11.8s to 14.8s", "D) 9.8s to 12.8s"], "answer": "B) 10.8s to 13.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 18.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 11.0s to 13.6s", "B) 9.0s to 11.6s", "C) 12.0s to 14.6s", "D) 10.0s to 12.6s"], "answer": "D) 10.0s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 10.8s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.0s to 14.6s", "B) 10.0s to 12.6s", "C) 9.0s to 11.6s", "D) 11.0s to 13.6s"], "answer": "B) 10.0s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 18.2s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 13.0s to 15.6s", "B) 12.0s to 14.6s", "C) 11.0s to 13.6s", "D) 10.0s to 12.6s"], "answer": "C) 11.0s to 13.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 18.2s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 10.8s to 13.6s", "B) 8.8s to 11.6s", "C) 11.8s to 14.6s", "D) 9.8s to 12.6s"], "answer": "D) 9.8s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 11.0s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 8.8s to 11.6s", "B) 11.8s to 14.6s", "C) 9.8s to 12.6s", "D) 10.8s to 13.6s"], "answer": "C) 9.8s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 0.2s to 3.6s", "B) 3.2s to 6.6s", "C) 2.2s to 5.6s", "D) 1.2s to 4.6s"], "answer": "D) 1.2s to 4.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chest' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chest' in Video 2.", "options": ["A) 4.0s to 5.6s", "B) 5.0s to 6.6s", "C) 2.0s to 3.6s", "D) 3.0s to 4.6s"], "answer": "D) 3.0s to 4.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv stand' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv stand' in Video 2.", "options": ["A) 4.4s to 5.6s", "B) 5.4s to 6.6s", "C) 3.4s to 4.6s", "D) 2.4s to 3.6s"], "answer": "C) 3.4s to 4.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 17.2s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 18.8s to 19.8s", "B) 19.8s to 20.8s", "C) 20.8s to 21.8s", "D) 17.8s to 18.8s"], "answer": "A) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 17.2s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 3.0s to 4.6s", "B) 4.0s to 5.6s", "C) 2.0s to 3.6s", "D) 5.0s to 6.6s"], "answer": "A) 3.0s to 4.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 5.0s to 6.6s", "B) 3.0s to 4.6s", "C) 4.0s to 5.6s", "D) 2.0s to 3.6s"], "answer": "B) 3.0s to 4.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 19.4s to 20.8s", "B) 17.4s to 18.8s", "C) 20.4s to 21.8s", "D) 18.4s to 19.8s"], "answer": "D) 18.4s to 19.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 5.6s to 7.0s", "B) 3.6s to 5.0s", "C) 4.6s to 6.0s", "D) 2.6s to 4.0s"], "answer": "B) 3.6s to 5.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 18.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 4.6s to 6.0s", "B) 3.6s to 5.0s", "C) 5.6s to 7.0s", "D) 2.6s to 4.0s"], "answer": "B) 3.6s to 5.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bookstand' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bookstand' in Video 2.", "options": ["A) 1.0s to 5.6s", "B) 2.0s to 6.6s", "C) 3.0s to 7.6s", "D) 0.0s to 4.6s"], "answer": "D) 0.0s to 4.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 3.2s to 6.8s", "B) 0.2s to 3.8s", "C) 2.2s to 5.8s", "D) 1.2s to 4.8s"], "answer": "D) 1.2s to 4.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radiator' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'radiator' in Video 2.", "options": ["A) 0.0s to 4.8s", "B) 3.0s to 7.8s", "C) 2.0s to 6.8s", "D) 1.0s to 5.8s"], "answer": "A) 0.0s to 4.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'air conditioner' is clearly visible from 18.6s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'air conditioner' in Video 2.", "options": ["A) 0.0s to 3.8s", "B) 1.0s to 4.8s", "C) 3.0s to 6.8s", "D) 2.0s to 5.8s"], "answer": "B) 1.0s to 4.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 17.4s to 18.6s", "B) 19.4s to 20.6s", "C) 20.4s to 21.6s", "D) 18.4s to 19.6s"], "answer": "D) 18.4s to 19.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 2.6s to 5.0s", "B) 3.6s to 6.0s", "C) 1.6s to 4.0s", "D) 4.6s to 7.0s"], "answer": "A) 2.6s to 5.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 18.4s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 4.6s to 7.0s", "B) 2.6s to 5.0s", "C) 3.6s to 6.0s", "D) 1.6s to 4.0s"], "answer": "B) 2.6s to 5.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 19.4s to 20.6s", "B) 18.4s to 19.6s", "C) 17.4s to 18.6s", "D) 20.4s to 21.6s"], "answer": "B) 18.4s to 19.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 4.8s to 6.8s", "B) 2.8s to 4.8s", "C) 3.8s to 5.8s", "D) 1.8s to 3.8s"], "answer": "B) 2.8s to 4.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 18.4s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 2.8s to 4.8s", "B) 4.8s to 6.8s", "C) 1.8s to 3.8s", "D) 3.8s to 5.8s"], "answer": "A) 2.8s to 4.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 17.4s to 18.6s", "B) 18.4s to 19.6s", "C) 19.4s to 20.6s", "D) 20.4s to 21.6s"], "answer": "B) 18.4s to 19.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 1.8s to 3.8s", "B) 2.8s to 4.8s", "C) 4.8s to 6.8s", "D) 3.8s to 5.8s"], "answer": "B) 2.8s to 4.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 18.4s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 3.8s to 5.8s", "B) 2.8s to 4.8s", "C) 4.8s to 6.8s", "D) 1.8s to 3.8s"], "answer": "B) 2.8s to 4.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 18.4s to 19.6s", "B) 19.4s to 20.6s", "C) 17.4s to 18.6s", "D) 20.4s to 21.6s"], "answer": "A) 18.4s to 19.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 3.8s to 6.0s", "B) 4.8s to 7.0s", "C) 2.8s to 5.0s", "D) 1.8s to 4.0s"], "answer": "C) 2.8s to 5.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 18.4s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 2.8s to 5.0s", "B) 1.8s to 4.0s", "C) 4.8s to 7.0s", "D) 3.8s to 6.0s"], "answer": "A) 2.8s to 5.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 20.0s to 21.6s", "B) 18.0s to 19.6s", "C) 19.0s to 20.6s", "D) 17.0s to 18.6s"], "answer": "B) 18.0s to 19.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 2.0s to 4.0s", "B) 3.0s to 5.0s", "C) 5.0s to 7.0s", "D) 4.0s to 6.0s"], "answer": "B) 3.0s to 5.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 18.0s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 4.0s to 6.0s", "B) 5.0s to 7.0s", "C) 3.0s to 5.0s", "D) 2.0s to 4.0s"], "answer": "C) 3.0s to 5.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 17.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 4.2s to 5.2s", "B) 3.2s to 4.2s", "C) 6.2s to 7.2s", "D) 5.2s to 6.2s"], "answer": "A) 4.2s to 5.2s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 7.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 15.4s to 17.0s", "B) 17.4s to 19.0s", "C) 16.4s to 18.0s", "D) 14.4s to 16.0s"], "answer": "A) 15.4s to 17.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 7.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 5.4s to 9.4s", "B) 7.4s to 11.4s", "C) 4.4s to 8.4s", "D) 6.4s to 10.4s"], "answer": "A) 5.4s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 15.4s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 7.4s to 11.4s", "B) 5.4s to 9.4s", "C) 6.4s to 10.4s", "D) 4.4s to 8.4s"], "answer": "B) 5.4s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radiator' is clearly visible from 11.6s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'radiator' in Video 2.", "options": ["A) 14.8s to 16.4s", "B) 16.8s to 18.4s", "C) 17.8s to 19.4s", "D) 15.8s to 17.4s"], "answer": "D) 15.8s to 17.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radiator' is clearly visible from 11.6s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'radiator' in Video 2.", "options": ["A) 5.4s to 6.8s", "B) 7.4s to 8.8s", "C) 4.4s to 5.8s", "D) 6.4s to 7.8s"], "answer": "A) 5.4s to 6.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radiator' is clearly visible from 15.8s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'radiator' in Video 2.", "options": ["A) 7.4s to 8.8s", "B) 6.4s to 7.8s", "C) 5.4s to 6.8s", "D) 4.4s to 5.8s"], "answer": "C) 5.4s to 6.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 11.8s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 14.8s to 16.0s", "B) 16.8s to 18.0s", "C) 15.8s to 17.0s", "D) 17.8s to 19.0s"], "answer": "C) 15.8s to 17.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 11.8s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 4.4s to 5.8s", "B) 5.4s to 6.8s", "C) 6.4s to 7.8s", "D) 7.4s to 8.8s"], "answer": "B) 5.4s to 6.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 15.8s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 7.4s to 8.8s", "B) 5.4s to 6.8s", "C) 4.4s to 5.8s", "D) 6.4s to 7.8s"], "answer": "B) 5.4s to 6.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 10.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 17.0s to 18.8s", "B) 16.0s to 17.8s", "C) 15.0s to 16.8s", "D) 14.0s to 15.8s"], "answer": "C) 15.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 10.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 7.6s to 11.4s", "B) 4.6s to 8.4s", "C) 5.6s to 9.4s", "D) 6.6s to 10.4s"], "answer": "C) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 15.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 4.6s to 8.4s", "B) 6.6s to 10.4s", "C) 5.6s to 9.4s", "D) 7.6s to 11.4s"], "answer": "C) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 17.4s to 18.8s", "B) 16.4s to 17.8s", "C) 15.4s to 16.8s", "D) 14.4s to 15.8s"], "answer": "C) 15.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 6.6s to 10.4s", "B) 4.6s to 8.4s", "C) 5.6s to 9.4s", "D) 7.6s to 11.4s"], "answer": "C) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.4s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 4.6s to 8.4s", "B) 7.6s to 11.4s", "C) 6.6s to 10.4s", "D) 5.6s to 9.4s"], "answer": "D) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 15.4s to 16.8s", "B) 17.4s to 18.8s", "C) 16.4s to 17.8s", "D) 14.4s to 15.8s"], "answer": "A) 15.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 4.6s to 8.4s", "B) 6.6s to 10.4s", "C) 7.6s to 11.4s", "D) 5.6s to 9.4s"], "answer": "D) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.4s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 4.6s to 8.4s", "B) 6.6s to 10.4s", "C) 5.6s to 9.4s", "D) 7.6s to 11.4s"], "answer": "C) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 15.6s to 16.8s", "B) 14.6s to 15.8s", "C) 17.6s to 18.8s", "D) 16.6s to 17.8s"], "answer": "A) 15.6s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.6s to 11.4s", "B) 5.6s to 9.4s", "C) 6.6s to 10.4s", "D) 4.6s to 8.4s"], "answer": "B) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.6s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 4.6s to 8.4s", "B) 6.6s to 10.4s", "C) 7.6s to 11.4s", "D) 5.6s to 9.4s"], "answer": "D) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 15.0s to 16.6s", "B) 16.0s to 17.6s", "C) 14.0s to 15.6s", "D) 17.0s to 18.6s"], "answer": "A) 15.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.2s to 10.4s", "B) 6.2s to 9.4s", "C) 5.2s to 8.4s", "D) 8.2s to 11.4s"], "answer": "B) 6.2s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.2s to 10.4s", "B) 5.2s to 8.4s", "C) 8.2s to 11.4s", "D) 6.2s to 9.4s"], "answer": "D) 6.2s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 16.2s to 17.6s", "B) 15.2s to 16.6s", "C) 14.2s to 15.6s", "D) 17.2s to 18.6s"], "answer": "B) 15.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 5.8s to 8.6s", "B) 7.8s to 10.6s", "C) 4.8s to 7.6s", "D) 6.8s to 9.6s"], "answer": "A) 5.8s to 8.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.8s to 10.6s", "B) 6.8s to 9.6s", "C) 5.8s to 8.6s", "D) 4.8s to 7.6s"], "answer": "C) 5.8s to 8.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 16.0s to 17.6s", "B) 17.0s to 18.6s", "C) 15.0s to 16.6s", "D) 14.0s to 15.6s"], "answer": "C) 15.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 6.0s to 9.4s", "B) 8.0s to 11.4s", "C) 5.0s to 8.4s", "D) 7.0s to 10.4s"], "answer": "A) 6.0s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 6.0s to 9.4s", "B) 8.0s to 11.4s", "C) 7.0s to 10.4s", "D) 5.0s to 8.4s"], "answer": "A) 6.0s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 14.6s to 15.6s", "B) 15.6s to 16.6s", "C) 16.6s to 17.6s", "D) 13.6s to 14.6s"], "answer": "A) 14.6s to 15.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 7.8s to 10.2s", "B) 5.8s to 8.2s", "C) 8.8s to 11.2s", "D) 6.8s to 9.2s"], "answer": "D) 6.8s to 9.2s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 14.6s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 5.8s to 8.2s", "B) 6.8s to 9.2s", "C) 8.8s to 11.2s", "D) 7.8s to 10.2s"], "answer": "B) 6.8s to 9.2s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 6.8s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 15.2s to 16.8s", "B) 16.2s to 17.8s", "C) 14.2s to 15.8s", "D) 17.2s to 18.8s"], "answer": "A) 15.2s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 6.8s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 6.8s to 9.4s", "B) 5.8s to 8.4s", "C) 7.8s to 10.4s", "D) 4.8s to 7.4s"], "answer": "B) 5.8s to 8.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 15.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 7.8s to 10.4s", "B) 5.8s to 8.4s", "C) 4.8s to 7.4s", "D) 6.8s to 9.4s"], "answer": "B) 5.8s to 8.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 6.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.0s to 11.4s", "B) 6.0s to 9.4s", "C) 7.0s to 10.4s", "D) 5.0s to 8.4s"], "answer": "B) 6.0s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 1.2s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 8.4s to 9.2s", "B) 7.4s to 8.2s", "C) 9.4s to 10.2s", "D) 6.4s to 7.2s"], "answer": "B) 7.4s to 8.2s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 1.2s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 18.4s to 19.4s", "B) 19.4s to 20.4s", "C) 20.4s to 21.4s", "D) 17.4s to 18.4s"], "answer": "A) 18.4s to 19.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.4s to 8.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 17.4s to 18.4s", "B) 20.4s to 21.4s", "C) 18.4s to 19.4s", "D) 19.4s to 20.4s"], "answer": "C) 18.4s to 19.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 0.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 6.2s to 9.2s", "B) 7.2s to 10.2s", "C) 8.2s to 11.2s", "D) 5.2s to 8.2s"], "answer": "A) 6.2s to 9.2s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 6.0s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 17.4s to 18.4s", "B) 14.4s to 15.4s", "C) 16.4s to 17.4s", "D) 15.4s to 16.4s"], "answer": "D) 15.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 16.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 5.6s to 9.0s", "B) 6.6s to 10.0s", "C) 4.6s to 8.0s", "D) 7.6s to 11.0s"], "answer": "A) 5.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 15.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 7.6s to 11.0s", "B) 5.6s to 9.0s", "C) 4.6s to 8.0s", "D) 6.6s to 10.0s"], "answer": "B) 5.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 5.0s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 16.2s to 17.8s", "B) 15.2s to 16.8s", "C) 17.2s to 18.8s", "D) 14.2s to 15.8s"], "answer": "B) 15.2s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 5.0s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 7.6s to 10.6s", "B) 6.6s to 9.6s", "C) 4.6s to 7.6s", "D) 5.6s to 8.6s"], "answer": "D) 5.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 15.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 4.6s to 7.6s", "B) 5.6s to 8.6s", "C) 7.6s to 10.6s", "D) 6.6s to 9.6s"], "answer": "B) 5.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'countertop' is clearly visible from 16.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'countertop' in Video 2.", "options": ["A) 17.2s to 18.8s", "B) 15.2s to 16.8s", "C) 16.2s to 17.8s", "D) 14.2s to 15.8s"], "answer": "B) 15.2s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'countertop' is clearly visible from 3.0s to 15.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'countertop' in Video 2.", "options": ["A) 7.6s to 10.8s", "B) 5.6s to 8.8s", "C) 4.6s to 7.8s", "D) 6.6s to 9.8s"], "answer": "B) 5.6s to 8.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'countertop' is clearly visible from 15.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'countertop' in Video 2.", "options": ["A) 5.6s to 8.8s", "B) 7.6s to 10.8s", "C) 4.6s to 7.8s", "D) 6.6s to 9.8s"], "answer": "A) 5.6s to 8.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'microwave' is clearly visible from 16.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'microwave' in Video 2.", "options": ["A) 4.6s to 7.8s", "B) 6.6s to 9.8s", "C) 7.6s to 10.8s", "D) 5.6s to 8.8s"], "answer": "D) 5.6s to 8.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'oven' is clearly visible from 16.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'oven' in Video 2.", "options": ["A) 6.6s to 9.8s", "B) 4.6s to 7.8s", "C) 7.6s to 10.8s", "D) 5.6s to 8.8s"], "answer": "D) 5.6s to 8.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 2.0s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 17.2s to 18.8s", "B) 14.2s to 15.8s", "C) 15.2s to 16.8s", "D) 16.2s to 17.8s"], "answer": "C) 15.2s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 16.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 4.6s to 7.8s", "B) 7.6s to 10.8s", "C) 5.6s to 8.8s", "D) 6.6s to 9.8s"], "answer": "C) 5.6s to 8.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 15.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 5.6s to 8.8s", "B) 7.6s to 10.8s", "C) 4.6s to 7.8s", "D) 6.6s to 9.8s"], "answer": "A) 5.6s to 8.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 1.6s to 12.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 17.2s to 18.8s", "B) 14.2s to 15.8s", "C) 15.2s to 16.8s", "D) 16.2s to 17.8s"], "answer": "C) 15.2s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 1.6s to 12.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 5.6s to 8.6s", "B) 7.6s to 10.6s", "C) 4.6s to 7.6s", "D) 6.6s to 9.6s"], "answer": "A) 5.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 15.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 7.6s to 10.6s", "B) 5.6s to 8.6s", "C) 4.6s to 7.6s", "D) 6.6s to 9.6s"], "answer": "B) 5.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 7.6s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 14.8s to 16.6s", "B) 16.8s to 18.6s", "C) 13.8s to 15.6s", "D) 15.8s to 17.6s"], "answer": "A) 14.8s to 16.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'doormat' is clearly visible from 18.2s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'doormat' in Video 2.", "options": ["A) 11.0s to 13.8s", "B) 13.0s to 15.8s", "C) 10.0s to 12.8s", "D) 12.0s to 14.8s"], "answer": "A) 11.0s to 13.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'doormat' is clearly visible from 18.2s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'doormat' in Video 2.", "options": ["A) 12.0s to 14.6s", "B) 9.0s to 11.6s", "C) 10.0s to 12.6s", "D) 11.0s to 13.6s"], "answer": "C) 10.0s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'doormat' is clearly visible from 11.0s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'doormat' in Video 2.", "options": ["A) 10.0s to 12.6s", "B) 12.0s to 14.6s", "C) 11.0s to 13.6s", "D) 9.0s to 11.6s"], "answer": "A) 10.0s to 12.6s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 13.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 16.0s to 16.8s", "B) 15.0s to 15.8s", "C) 13.0s to 13.8s", "D) 14.0s to 14.8s"], "answer": "D) 14.0s to 14.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 13.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 6.8s to 8.2s", "B) 9.8s to 11.2s", "C) 7.8s to 9.2s", "D) 8.8s to 10.2s"], "answer": "C) 7.8s to 9.2s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.8s to 11.2s", "B) 7.8s to 9.2s", "C) 8.8s to 10.2s", "D) 6.8s to 8.2s"], "answer": "B) 7.8s to 9.2s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 8.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 16.4s to 18.0s", "B) 15.4s to 17.0s", "C) 17.4s to 19.0s", "D) 14.4s to 16.0s"], "answer": "B) 15.4s to 17.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 8.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 6.6s to 10.4s", "B) 4.6s to 8.4s", "C) 5.6s to 9.4s", "D) 7.6s to 11.4s"], "answer": "C) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 15.4s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 4.6s to 8.4s", "B) 5.6s to 9.4s", "C) 7.6s to 11.4s", "D) 6.6s to 10.4s"], "answer": "B) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 10.2s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 15.6s to 17.0s", "B) 16.6s to 18.0s", "C) 17.6s to 19.0s", "D) 14.6s to 16.0s"], "answer": "A) 15.6s to 17.0s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 10.2s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 5.6s to 9.4s", "B) 7.6s to 11.4s", "C) 6.6s to 10.4s", "D) 4.6s to 8.4s"], "answer": "A) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 15.6s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 4.6s to 8.4s", "B) 5.6s to 9.4s", "C) 6.6s to 10.4s", "D) 7.6s to 11.4s"], "answer": "B) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radio' is clearly visible from 10.8s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'radio' in Video 2.", "options": ["A) 14.2s to 15.8s", "B) 15.2s to 16.8s", "C) 16.2s to 17.8s", "D) 17.2s to 18.8s"], "answer": "B) 15.2s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radio' is clearly visible from 10.8s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'radio' in Video 2.", "options": ["A) 6.6s to 9.4s", "B) 5.6s to 8.4s", "C) 7.6s to 10.4s", "D) 4.6s to 7.4s"], "answer": "B) 5.6s to 8.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'radio' is clearly visible from 15.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'radio' in Video 2.", "options": ["A) 5.6s to 8.4s", "B) 4.6s to 7.4s", "C) 6.6s to 9.4s", "D) 7.6s to 10.4s"], "answer": "A) 5.6s to 8.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'potty' is clearly visible from 11.8s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'potty' in Video 2.", "options": ["A) 5.2s to 7.4s", "B) 6.2s to 8.4s", "C) 7.2s to 9.4s", "D) 8.2s to 10.4s"], "answer": "B) 6.2s to 8.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table cloth' is clearly visible from 10.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table cloth' in Video 2.", "options": ["A) 15.2s to 16.8s", "B) 17.2s to 18.8s", "C) 16.2s to 17.8s", "D) 14.2s to 15.8s"], "answer": "A) 15.2s to 16.8s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table cloth' is clearly visible from 10.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table cloth' in Video 2.", "options": ["A) 6.6s to 10.4s", "B) 5.6s to 9.4s", "C) 4.6s to 8.4s", "D) 7.6s to 11.4s"], "answer": "B) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam0/cam0.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table cloth' is clearly visible from 15.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table cloth' in Video 2.", "options": ["A) 6.6s to 10.4s", "B) 4.6s to 8.4s", "C) 5.6s to 9.4s", "D) 7.6s to 11.4s"], "answer": "C) 5.6s to 9.4s", "videos": ["dataset/habitat_data/general/val/6s7QHgap2fW/cam1/cam1.mp4", "dataset/habitat_data/general/val/6s7QHgap2fW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 13.2s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 9.6s to 12.2s", "B) 8.6s to 11.2s", "C) 7.6s to 10.2s", "D) 10.6s to 13.2s"], "answer": "B) 8.6s to 11.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 13.2s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 16.4s to 18.2s", "B) 14.4s to 16.2s", "C) 15.4s to 17.2s", "D) 13.4s to 15.2s"], "answer": "B) 14.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 8.6s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 15.4s to 17.2s", "B) 16.4s to 18.2s", "C) 14.4s to 16.2s", "D) 13.4s to 15.2s"], "answer": "C) 14.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.6s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 15.6s to 17.4s", "B) 16.6s to 18.4s", "C) 14.6s to 16.4s", "D) 13.6s to 15.4s"], "answer": "C) 14.6s to 16.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.6s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.0s to 10.0s", "B) 8.0s to 9.0s", "C) 7.0s to 8.0s", "D) 6.0s to 7.0s"], "answer": "C) 7.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 14.6s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.0s to 10.0s", "B) 7.0s to 8.0s", "C) 8.0s to 9.0s", "D) 6.0s to 7.0s"], "answer": "B) 7.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 5.4s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 6.6s to 7.4s", "B) 5.6s to 6.4s", "C) 4.6s to 5.4s", "D) 7.6s to 8.4s"], "answer": "B) 5.6s to 6.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 3.4s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 6.6s to 7.4s", "B) 4.6s to 5.4s", "C) 5.6s to 6.4s", "D) 7.6s to 8.4s"], "answer": "C) 5.6s to 6.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 4.0s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 16.0s to 17.0s", "B) 19.0s to 20.0s", "C) 17.0s to 18.0s", "D) 18.0s to 19.0s"], "answer": "C) 17.0s to 18.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'trashcan' is clearly visible from 2.8s to 5.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'trashcan' in Video 2.", "options": ["A) 19.0s to 19.8s", "B) 16.0s to 16.8s", "C) 17.0s to 17.8s", "D) 18.0s to 18.8s"], "answer": "C) 17.0s to 17.8s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 1.4s to 5.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 18.0s to 19.0s", "B) 19.0s to 20.0s", "C) 16.0s to 17.0s", "D) 17.0s to 18.0s"], "answer": "D) 17.0s to 18.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk chair' is clearly visible from 1.0s to 2.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk chair' in Video 2.", "options": ["A) 18.0s to 18.8s", "B) 16.0s to 16.8s", "C) 19.0s to 19.8s", "D) 17.0s to 17.8s"], "answer": "D) 17.0s to 17.8s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 3.4s to 5.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 18.0s to 19.0s", "B) 16.0s to 17.0s", "C) 19.0s to 20.0s", "D) 17.0s to 18.0s"], "answer": "D) 17.0s to 18.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'printer' is clearly visible from 1.2s to 2.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'printer' in Video 2.", "options": ["A) 16.0s to 16.8s", "B) 19.0s to 19.8s", "C) 18.0s to 18.8s", "D) 17.0s to 17.8s"], "answer": "D) 17.0s to 17.8s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 12.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.0s to 12.2s", "B) 8.0s to 10.2s", "C) 9.0s to 11.2s", "D) 11.0s to 13.2s"], "answer": "C) 9.0s to 11.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 12.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 14.4s to 17.4s", "B) 15.4s to 18.4s", "C) 12.4s to 15.4s", "D) 13.4s to 16.4s"], "answer": "D) 13.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 9.0s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 14.4s to 17.4s", "B) 13.4s to 16.4s", "C) 15.4s to 18.4s", "D) 12.4s to 15.4s"], "answer": "B) 13.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 12.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 10.8s to 13.2s", "B) 8.8s to 11.2s", "C) 9.8s to 12.2s", "D) 7.8s to 10.2s"], "answer": "B) 8.8s to 11.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 12.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 16.0s to 18.4s", "B) 13.0s to 15.4s", "C) 14.0s to 16.4s", "D) 15.0s to 17.4s"], "answer": "C) 14.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 8.8s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 15.0s to 17.4s", "B) 14.0s to 16.4s", "C) 13.0s to 15.4s", "D) 16.0s to 18.4s"], "answer": "B) 14.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'heater' is clearly visible from 12.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'heater' in Video 2.", "options": ["A) 10.6s to 12.8s", "B) 7.6s to 9.8s", "C) 8.6s to 10.8s", "D) 9.6s to 11.8s"], "answer": "C) 8.6s to 10.8s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'heater' is clearly visible from 12.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'heater' in Video 2.", "options": ["A) 13.0s to 15.4s", "B) 15.0s to 17.4s", "C) 14.0s to 16.4s", "D) 16.0s to 18.4s"], "answer": "C) 14.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'heater' is clearly visible from 8.6s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'heater' in Video 2.", "options": ["A) 16.0s to 18.4s", "B) 14.0s to 16.4s", "C) 13.0s to 15.4s", "D) 15.0s to 17.4s"], "answer": "B) 14.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.2s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 16.0s to 17.2s", "B) 19.0s to 20.2s", "C) 18.0s to 19.2s", "D) 17.0s to 18.2s"], "answer": "D) 17.0s to 18.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 7.4s to 9.6s", "B) 6.4s to 8.6s", "C) 4.4s to 6.6s", "D) 5.4s to 7.6s"], "answer": "D) 5.4s to 7.6s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 19.2s to 20.0s", "B) 16.2s to 17.0s", "C) 17.2s to 18.0s", "D) 18.2s to 19.0s"], "answer": "C) 17.2s to 18.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 5.4s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 19.2s to 20.0s", "B) 17.2s to 18.0s", "C) 18.2s to 19.0s", "D) 16.2s to 17.0s"], "answer": "B) 17.2s to 18.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 5.4s to 8.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 16.8s to 18.0s", "B) 18.8s to 20.0s", "C) 19.8s to 21.0s", "D) 17.8s to 19.0s"], "answer": "D) 17.8s to 19.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 6.0s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 18.0s to 19.0s", "B) 17.0s to 18.0s", "C) 20.0s to 21.0s", "D) 19.0s to 20.0s"], "answer": "A) 18.0s to 19.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 6.4s to 8.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 16.0s to 18.6s", "B) 18.0s to 20.6s", "C) 17.0s to 19.6s", "D) 15.0s to 17.6s"], "answer": "A) 16.0s to 18.6s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 5.8s to 8.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 17.4s to 18.6s", "B) 16.4s to 17.6s", "C) 18.4s to 19.6s", "D) 19.4s to 20.6s"], "answer": "A) 17.4s to 18.6s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 15.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 8.4s to 9.8s", "B) 9.4s to 10.8s", "C) 7.4s to 8.8s", "D) 6.4s to 7.8s"], "answer": "C) 7.4s to 8.8s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 15.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 16.6s to 18.0s", "B) 17.6s to 19.0s", "C) 14.6s to 16.0s", "D) 15.6s to 17.0s"], "answer": "D) 15.6s to 17.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 7.4s to 8.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 15.6s to 17.0s", "B) 17.6s to 19.0s", "C) 16.6s to 18.0s", "D) 14.6s to 16.0s"], "answer": "A) 15.6s to 17.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 7.0s to 8.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 17.2s to 18.4s", "B) 18.2s to 19.4s", "C) 15.2s to 16.4s", "D) 16.2s to 17.4s"], "answer": "D) 16.2s to 17.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining chair' is clearly visible from 6.2s to 8.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining chair' in Video 2.", "options": ["A) 18.8s to 20.0s", "B) 15.8s to 17.0s", "C) 16.8s to 18.0s", "D) 17.8s to 19.0s"], "answer": "C) 16.8s to 18.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'display cabinet' is clearly visible from 14.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'display cabinet' in Video 2.", "options": ["A) 6.4s to 9.8s", "B) 7.4s to 10.8s", "C) 8.4s to 11.8s", "D) 9.4s to 12.8s"], "answer": "B) 7.4s to 10.8s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'display cabinet' is clearly visible from 14.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'display cabinet' in Video 2.", "options": ["A) 15.2s to 16.2s", "B) 16.2s to 17.2s", "C) 17.2s to 18.2s", "D) 14.2s to 15.2s"], "answer": "A) 15.2s to 16.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'display cabinet' is clearly visible from 7.4s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'display cabinet' in Video 2.", "options": ["A) 15.2s to 16.2s", "B) 14.2s to 15.2s", "C) 17.2s to 18.2s", "D) 16.2s to 17.2s"], "answer": "A) 15.2s to 16.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 4.8s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 16.2s to 17.8s", "B) 17.2s to 18.8s", "C) 15.2s to 16.8s", "D) 14.2s to 15.8s"], "answer": "C) 15.2s to 16.8s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 4.8s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 7.0s to 9.0s", "B) 6.0s to 8.0s", "C) 8.0s to 10.0s", "D) 5.0s to 7.0s"], "answer": "B) 6.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 15.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 6.0s to 8.0s", "B) 5.0s to 7.0s", "C) 8.0s to 10.0s", "D) 7.0s to 9.0s"], "answer": "A) 6.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'display table' is clearly visible from 5.4s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'display table' in Video 2.", "options": ["A) 15.2s to 16.0s", "B) 16.2s to 17.0s", "C) 17.2s to 18.0s", "D) 18.2s to 19.0s"], "answer": "B) 16.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'display table' is clearly visible from 5.4s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'display table' in Video 2.", "options": ["A) 9.0s to 10.0s", "B) 6.0s to 7.0s", "C) 7.0s to 8.0s", "D) 8.0s to 9.0s"], "answer": "C) 7.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'display table' is clearly visible from 16.2s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'display table' in Video 2.", "options": ["A) 6.0s to 7.0s", "B) 8.0s to 9.0s", "C) 7.0s to 8.0s", "D) 9.0s to 10.0s"], "answer": "C) 7.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 14.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 9.0s to 12.0s", "B) 8.0s to 11.0s", "C) 10.0s to 13.0s", "D) 7.0s to 10.0s"], "answer": "B) 8.0s to 11.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 14.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 17.0s to 18.2s", "B) 15.0s to 16.2s", "C) 14.0s to 15.2s", "D) 16.0s to 17.2s"], "answer": "B) 15.0s to 16.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 8.0s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 15.0s to 16.2s", "B) 16.0s to 17.2s", "C) 17.0s to 18.2s", "D) 14.0s to 15.2s"], "answer": "A) 15.0s to 16.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bin' is clearly visible from 14.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bin' in Video 2.", "options": ["A) 7.4s to 8.4s", "B) 8.4s to 9.4s", "C) 9.4s to 10.4s", "D) 10.4s to 11.4s"], "answer": "B) 8.4s to 9.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 6.4s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 13.0s to 13.8s", "B) 14.0s to 14.8s", "C) 16.0s to 16.8s", "D) 15.0s to 15.8s"], "answer": "B) 14.0s to 14.8s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 6.8s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 13.8s to 14.6s", "B) 12.8s to 13.6s", "C) 15.8s to 16.6s", "D) 14.8s to 15.6s"], "answer": "A) 13.8s to 14.6s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 7.2s to 8.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 13.4s to 14.4s", "B) 14.4s to 15.4s", "C) 15.4s to 16.4s", "D) 12.4s to 13.4s"], "answer": "A) 13.4s to 14.4s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 7.6s to 8.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 13.0s to 14.2s", "B) 15.0s to 16.2s", "C) 14.0s to 15.2s", "D) 12.0s to 13.2s"], "answer": "A) 13.0s to 14.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 8.4s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 13.8s to 15.2s", "B) 11.8s to 13.2s", "C) 10.8s to 12.2s", "D) 12.8s to 14.2s"], "answer": "B) 11.8s to 13.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 8.4s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 11.2s to 15.2s", "B) 9.2s to 13.2s", "C) 8.2s to 12.2s", "D) 10.2s to 14.2s"], "answer": "B) 9.2s to 13.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 11.8s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 10.2s to 14.2s", "B) 11.2s to 15.2s", "C) 9.2s to 13.2s", "D) 8.2s to 12.2s"], "answer": "C) 9.2s to 13.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 5.8s to 7.2s", "B) 7.8s to 9.2s", "C) 6.8s to 8.2s", "D) 4.8s to 6.2s"], "answer": "A) 5.8s to 7.2s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 16.6s to 18.0s", "B) 15.6s to 17.0s", "C) 17.6s to 19.0s", "D) 18.6s to 20.0s"], "answer": "A) 16.6s to 18.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 5.8s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 17.6s to 19.0s", "B) 16.6s to 18.0s", "C) 15.6s to 17.0s", "D) 18.6s to 20.0s"], "answer": "B) 16.6s to 18.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'coffee machine' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'coffee machine' in Video 2.", "options": ["A) 6.0s to 7.0s", "B) 8.0s to 9.0s", "C) 7.0s to 8.0s", "D) 5.0s to 6.0s"], "answer": "A) 6.0s to 7.0s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 14.6s to 15.6s", "B) 12.6s to 13.6s", "C) 13.6s to 14.6s", "D) 15.6s to 16.6s"], "answer": "C) 13.6s to 14.6s", "videos": ["dataset/habitat_data/general/val/7MXmsvcQjpJ/cam0/cam0.mp4", "dataset/habitat_data/general/val/7MXmsvcQjpJ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 17.8s to 19.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 0.8s to 4.6s", "B) 2.8s to 6.6s", "C) 3.8s to 7.6s", "D) 1.8s to 5.6s"], "answer": "A) 0.8s to 4.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 17.8s to 19.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 4.6s to 8.0s", "B) 5.6s to 9.0s", "C) 6.6s to 10.0s", "D) 7.6s to 11.0s"], "answer": "B) 5.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 9.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 5.6s to 9.0s", "B) 6.6s to 10.0s", "C) 7.6s to 11.0s", "D) 4.6s to 8.0s"], "answer": "A) 5.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chest of drawers' is clearly visible from 15.8s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chest of drawers' in Video 2.", "options": ["A) 11.4s to 14.2s", "B) 10.4s to 13.2s", "C) 12.4s to 15.2s", "D) 9.4s to 12.2s"], "answer": "B) 10.4s to 13.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chest of drawers' is clearly visible from 15.8s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chest of drawers' in Video 2.", "options": ["A) 6.6s to 9.0s", "B) 7.6s to 10.0s", "C) 8.6s to 11.0s", "D) 5.6s to 8.0s"], "answer": "A) 6.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chest of drawers' is clearly visible from 10.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chest of drawers' in Video 2.", "options": ["A) 5.6s to 8.0s", "B) 8.6s to 11.0s", "C) 6.6s to 9.0s", "D) 7.6s to 10.0s"], "answer": "C) 6.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 15.8s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 9.8s to 13.2s", "B) 11.8s to 15.2s", "C) 10.8s to 14.2s", "D) 8.8s to 12.2s"], "answer": "A) 9.8s to 13.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 15.8s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 4.6s to 8.0s", "B) 6.6s to 10.0s", "C) 7.6s to 11.0s", "D) 5.6s to 9.0s"], "answer": "D) 5.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 9.8s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 7.6s to 11.0s", "B) 4.6s to 8.0s", "C) 6.6s to 10.0s", "D) 5.6s to 9.0s"], "answer": "D) 5.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 16.6s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 2.6s to 5.2s", "B) 3.6s to 6.2s", "C) 1.6s to 4.2s", "D) 0.6s to 3.2s"], "answer": "C) 1.6s to 4.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 16.6s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 6.6s to 10.0s", "B) 5.6s to 9.0s", "C) 4.6s to 8.0s", "D) 7.6s to 11.0s"], "answer": "B) 5.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 9.6s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 7.6s to 11.0s", "B) 5.6s to 9.0s", "C) 6.6s to 10.0s", "D) 4.6s to 8.0s"], "answer": "B) 5.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 17.4s to 18.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 2.0s to 6.0s", "B) 0.0s to 4.0s", "C) 1.0s to 5.0s", "D) 3.0s to 7.0s"], "answer": "B) 0.0s to 4.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 17.4s to 18.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 7.6s to 8.8s", "B) 4.6s to 5.8s", "C) 5.6s to 6.8s", "D) 6.6s to 7.8s"], "answer": "C) 5.6s to 6.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 4.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 5.6s to 6.8s", "B) 6.6s to 7.8s", "C) 4.6s to 5.8s", "D) 7.6s to 8.8s"], "answer": "A) 5.6s to 6.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 17.0s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 0.8s to 2.0s", "B) 2.8s to 4.0s", "C) 1.8s to 3.0s", "D) 3.8s to 5.0s"], "answer": "C) 1.8s to 3.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 16.8s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 2.4s to 5.8s", "B) 3.4s to 6.8s", "C) 0.4s to 3.8s", "D) 1.4s to 4.8s"], "answer": "C) 0.4s to 3.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 18.2s to 19.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 2.2s to 4.8s", "B) 1.2s to 3.8s", "C) 3.2s to 5.8s", "D) 4.2s to 6.8s"], "answer": "A) 2.2s to 4.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 18.2s to 19.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 5.4s to 8.0s", "B) 8.4s to 11.0s", "C) 6.4s to 9.0s", "D) 7.4s to 10.0s"], "answer": "C) 6.4s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 10.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 6.4s to 9.0s", "B) 5.4s to 8.0s", "C) 7.4s to 10.0s", "D) 8.4s to 11.0s"], "answer": "A) 6.4s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 1.2s to 3.8s", "B) 3.2s to 5.8s", "C) 2.2s to 4.8s", "D) 4.2s to 6.8s"], "answer": "C) 2.2s to 4.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 3.0s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 17.2s to 18.2s", "B) 14.2s to 15.2s", "C) 16.2s to 17.2s", "D) 15.2s to 16.2s"], "answer": "D) 15.2s to 16.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 3.0s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 14.0s to 18.6s", "B) 12.0s to 16.6s", "C) 11.0s to 15.6s", "D) 13.0s to 17.6s"], "answer": "B) 12.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 15.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 13.0s to 17.6s", "B) 14.0s to 18.6s", "C) 12.0s to 16.6s", "D) 11.0s to 15.6s"], "answer": "C) 12.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 2.4s to 5.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 13.8s to 14.6s", "B) 12.8s to 13.6s", "C) 15.8s to 16.6s", "D) 14.8s to 15.6s"], "answer": "A) 13.8s to 14.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 7.2s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 15.2s to 16.2s", "B) 17.2s to 18.2s", "C) 14.2s to 15.2s", "D) 16.2s to 17.2s"], "answer": "A) 15.2s to 16.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 4.6s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 13.2s to 16.8s", "B) 11.2s to 14.8s", "C) 14.2s to 17.8s", "D) 12.2s to 15.8s"], "answer": "D) 12.2s to 15.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 15.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 12.2s to 15.8s", "B) 13.2s to 16.8s", "C) 14.2s to 17.8s", "D) 11.2s to 14.8s"], "answer": "A) 12.2s to 15.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 4.8s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 15.4s to 17.6s", "B) 16.4s to 18.6s", "C) 13.4s to 15.6s", "D) 14.4s to 16.6s"], "answer": "D) 14.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 4.8s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 13.2s to 13.8s", "B) 12.2s to 12.8s", "C) 11.2s to 11.8s", "D) 10.2s to 10.8s"], "answer": "C) 11.2s to 11.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 14.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 13.2s to 13.8s", "B) 11.2s to 11.8s", "C) 10.2s to 10.8s", "D) 12.2s to 12.8s"], "answer": "B) 11.2s to 11.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.2s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 15.4s to 19.0s", "B) 14.4s to 18.0s", "C) 12.4s to 16.0s", "D) 13.4s to 17.0s"], "answer": "D) 13.4s to 17.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.2s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 8.4s to 11.0s", "B) 10.4s to 13.0s", "C) 9.4s to 12.0s", "D) 11.4s to 14.0s"], "answer": "C) 9.4s to 12.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 13.4s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 10.4s to 13.0s", "B) 8.4s to 11.0s", "C) 11.4s to 14.0s", "D) 9.4s to 12.0s"], "answer": "D) 9.4s to 12.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 0.0s to 1.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 14.0s to 15.4s", "B) 17.0s to 18.4s", "C) 16.0s to 17.4s", "D) 15.0s to 16.4s"], "answer": "D) 15.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 2.2s to 2.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 16.2s to 17.6s", "B) 15.2s to 16.6s", "C) 17.2s to 18.6s", "D) 14.2s to 15.6s"], "answer": "B) 15.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'countertop' is clearly visible from 3.8s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'countertop' in Video 2.", "options": ["A) 13.8s to 15.4s", "B) 15.8s to 17.4s", "C) 14.8s to 16.4s", "D) 16.8s to 18.4s"], "answer": "C) 14.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 1.8s to 2.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 17.0s to 18.4s", "B) 16.0s to 17.4s", "C) 15.0s to 16.4s", "D) 14.0s to 15.4s"], "answer": "C) 15.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 0.6s to 1.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 14.0s to 15.2s", "B) 16.0s to 17.2s", "C) 17.0s to 18.2s", "D) 15.0s to 16.2s"], "answer": "D) 15.0s to 16.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 9.2s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 10.4s to 12.2s", "B) 12.4s to 14.2s", "C) 13.4s to 15.2s", "D) 11.4s to 13.2s"], "answer": "D) 11.4s to 13.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 9.2s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 8.6s to 10.6s", "B) 6.6s to 8.6s", "C) 9.6s to 11.6s", "D) 7.6s to 9.6s"], "answer": "D) 7.6s to 9.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 11.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 9.6s to 11.6s", "B) 8.6s to 10.6s", "C) 6.6s to 8.6s", "D) 7.6s to 9.6s"], "answer": "D) 7.6s to 9.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 7.6s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 11.6s to 13.4s", "B) 13.6s to 15.4s", "C) 10.6s to 12.4s", "D) 12.6s to 14.4s"], "answer": "A) 11.6s to 13.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 7.6s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 6.6s to 8.6s", "B) 8.6s to 10.6s", "C) 7.6s to 9.6s", "D) 9.6s to 11.6s"], "answer": "C) 7.6s to 9.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 11.6s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 9.6s to 11.6s", "B) 8.6s to 10.6s", "C) 6.6s to 8.6s", "D) 7.6s to 9.6s"], "answer": "D) 7.6s to 9.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 10.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 12.8s to 14.4s", "B) 11.8s to 13.4s", "C) 9.8s to 11.4s", "D) 10.8s to 12.4s"], "answer": "D) 10.8s to 12.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 10.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 7.0s to 8.2s", "B) 8.0s to 9.2s", "C) 9.0s to 10.2s", "D) 6.0s to 7.2s"], "answer": "A) 7.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 10.8s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 9.0s to 10.2s", "B) 6.0s to 7.2s", "C) 8.0s to 9.2s", "D) 7.0s to 8.2s"], "answer": "D) 7.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 7.6s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 12.0s to 14.2s", "B) 13.0s to 15.2s", "C) 14.0s to 16.2s", "D) 11.0s to 13.2s"], "answer": "A) 12.0s to 14.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 7.6s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 9.0s to 10.8s", "B) 8.0s to 9.8s", "C) 10.0s to 11.8s", "D) 7.0s to 8.8s"], "answer": "B) 8.0s to 9.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 12.0s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 10.0s to 11.8s", "B) 8.0s to 9.8s", "C) 7.0s to 8.8s", "D) 9.0s to 10.8s"], "answer": "B) 8.0s to 9.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 8.6s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 11.0s to 12.4s", "B) 13.0s to 14.4s", "C) 14.0s to 15.4s", "D) 12.0s to 13.4s"], "answer": "D) 12.0s to 13.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 8.6s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 8.0s to 9.6s", "B) 10.0s to 11.6s", "C) 7.0s to 8.6s", "D) 9.0s to 10.6s"], "answer": "A) 8.0s to 9.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 12.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 9.0s to 10.6s", "B) 10.0s to 11.6s", "C) 8.0s to 9.6s", "D) 7.0s to 8.6s"], "answer": "C) 8.0s to 9.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 7.4s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 13.4s to 15.8s", "B) 14.4s to 16.8s", "C) 12.4s to 14.8s", "D) 11.4s to 13.8s"], "answer": "C) 12.4s to 14.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 7.4s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 8.4s to 10.2s", "B) 10.4s to 12.2s", "C) 9.4s to 11.2s", "D) 7.4s to 9.2s"], "answer": "A) 8.4s to 10.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 12.4s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 10.4s to 12.2s", "B) 9.4s to 11.2s", "C) 7.4s to 9.2s", "D) 8.4s to 10.2s"], "answer": "D) 8.4s to 10.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 7.8s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 12.0s to 13.4s", "B) 14.0s to 15.4s", "C) 11.0s to 12.4s", "D) 13.0s to 14.4s"], "answer": "A) 12.0s to 13.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 7.8s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 7.0s to 8.6s", "B) 9.0s to 10.6s", "C) 8.0s to 9.6s", "D) 10.0s to 11.6s"], "answer": "C) 8.0s to 9.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 12.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 10.0s to 11.6s", "B) 9.0s to 10.6s", "C) 7.0s to 8.6s", "D) 8.0s to 9.6s"], "answer": "D) 8.0s to 9.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 9.4s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 13.0s to 15.0s", "B) 10.0s to 12.0s", "C) 12.0s to 14.0s", "D) 11.0s to 13.0s"], "answer": "D) 11.0s to 13.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 9.4s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 9.2s to 10.8s", "B) 6.2s to 7.8s", "C) 8.2s to 9.8s", "D) 7.2s to 8.8s"], "answer": "D) 7.2s to 8.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 11.0s to 13.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 6.2s to 7.8s", "B) 8.2s to 9.8s", "C) 7.2s to 8.8s", "D) 9.2s to 10.8s"], "answer": "C) 7.2s to 8.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shower curtain' is clearly visible from 7.6s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'shower curtain' in Video 2.", "options": ["A) 5.0s to 9.0s", "B) 6.0s to 10.0s", "C) 4.0s to 8.0s", "D) 3.0s to 7.0s"], "answer": "C) 4.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'toilet' is clearly visible from 10.6s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'toilet' in Video 2.", "options": ["A) 3.0s to 7.0s", "B) 5.0s to 9.0s", "C) 4.0s to 8.0s", "D) 6.0s to 10.0s"], "answer": "C) 4.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 12.2s to 14.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.0s to 4.2s", "B) 4.0s to 6.2s", "C) 3.0s to 5.2s", "D) 5.0s to 7.2s"], "answer": "C) 3.0s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 12.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 7.2s to 8.0s", "B) 9.2s to 10.0s", "C) 8.2s to 9.0s", "D) 10.2s to 11.0s"], "answer": "C) 8.2s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 12.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 3.2s to 3.6s", "B) 2.2s to 2.6s", "C) 4.2s to 4.6s", "D) 5.2s to 5.6s"], "answer": "A) 3.2s to 3.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 8.2s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 4.2s to 4.6s", "B) 5.2s to 5.6s", "C) 3.2s to 3.6s", "D) 2.2s to 2.6s"], "answer": "C) 3.2s to 3.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 12.4s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 9.2s to 10.0s", "B) 10.2s to 11.0s", "C) 7.2s to 8.0s", "D) 8.2s to 9.0s"], "answer": "D) 8.2s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 12.4s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 3.2s to 5.2s", "B) 5.2s to 7.2s", "C) 2.2s to 4.2s", "D) 4.2s to 6.2s"], "answer": "A) 3.2s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 8.2s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 5.2s to 7.2s", "B) 4.2s to 6.2s", "C) 2.2s to 4.2s", "D) 3.2s to 5.2s"], "answer": "D) 3.2s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 12.4s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 7.2s to 8.0s", "B) 9.2s to 10.0s", "C) 10.2s to 11.0s", "D) 8.2s to 9.0s"], "answer": "D) 8.2s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 12.4s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 4.2s to 6.2s", "B) 2.2s to 4.2s", "C) 3.2s to 5.2s", "D) 5.2s to 7.2s"], "answer": "C) 3.2s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 8.2s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 3.2s to 5.2s", "B) 4.2s to 6.2s", "C) 5.2s to 7.2s", "D) 2.2s to 4.2s"], "answer": "A) 3.2s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 7.0s to 9.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 5.2s to 7.4s", "B) 4.2s to 6.4s", "C) 2.2s to 4.4s", "D) 3.2s to 5.4s"], "answer": "D) 3.2s to 5.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 12.4s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 7.0s to 9.6s", "B) 6.0s to 8.6s", "C) 9.0s to 11.6s", "D) 8.0s to 10.6s"], "answer": "A) 7.0s to 9.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 12.4s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 5.4s to 7.6s", "B) 4.4s to 6.6s", "C) 3.4s to 5.6s", "D) 2.4s to 4.6s"], "answer": "C) 3.4s to 5.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.0s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 3.4s to 5.6s", "B) 4.4s to 6.6s", "C) 5.4s to 7.6s", "D) 2.4s to 4.6s"], "answer": "A) 3.4s to 5.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 12.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 9.2s to 11.4s", "B) 6.2s to 8.4s", "C) 8.2s to 10.4s", "D) 7.2s to 9.4s"], "answer": "D) 7.2s to 9.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 12.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 5.2s to 7.4s", "B) 2.2s to 4.4s", "C) 4.2s to 6.4s", "D) 3.2s to 5.4s"], "answer": "D) 3.2s to 5.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 7.2s to 9.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 2.2s to 4.4s", "B) 5.2s to 7.4s", "C) 4.2s to 6.4s", "D) 3.2s to 5.4s"], "answer": "D) 3.2s to 5.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 12.2s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 8.2s to 9.0s", "B) 10.2s to 11.0s", "C) 9.2s to 10.0s", "D) 7.2s to 8.0s"], "answer": "A) 8.2s to 9.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 12.2s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 5.2s to 7.2s", "B) 4.2s to 6.2s", "C) 2.2s to 4.2s", "D) 3.2s to 5.2s"], "answer": "D) 3.2s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 8.2s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 5.2s to 7.2s", "B) 4.2s to 6.2s", "C) 2.2s to 4.2s", "D) 3.2s to 5.2s"], "answer": "D) 3.2s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dishwasher' is clearly visible from 6.6s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'dishwasher' in Video 2.", "options": ["A) 4.6s to 7.4s", "B) 3.6s to 6.4s", "C) 5.6s to 8.4s", "D) 2.6s to 5.4s"], "answer": "B) 3.6s to 6.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 12.2s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 7.2s to 13.0s", "B) 5.2s to 11.0s", "C) 6.2s to 12.0s", "D) 8.2s to 14.0s"], "answer": "C) 6.2s to 12.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 12.2s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 3.0s to 8.0s", "B) 2.0s to 7.0s", "C) 5.0s to 10.0s", "D) 4.0s to 9.0s"], "answer": "A) 3.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 6.2s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 5.0s to 10.0s", "B) 4.0s to 9.0s", "C) 3.0s to 8.0s", "D) 2.0s to 7.0s"], "answer": "C) 3.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 6.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 5.6s to 8.4s", "B) 2.6s to 5.4s", "C) 4.6s to 7.4s", "D) 3.6s to 6.4s"], "answer": "D) 3.6s to 6.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 11.2s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 3.4s to 5.6s", "B) 5.4s to 7.6s", "C) 2.4s to 4.6s", "D) 4.4s to 6.6s"], "answer": "A) 3.4s to 5.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 6.8s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 2.4s to 4.6s", "B) 3.4s to 5.6s", "C) 4.4s to 6.6s", "D) 5.4s to 7.6s"], "answer": "B) 3.4s to 5.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 11.2s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 3.4s to 5.6s", "B) 2.4s to 4.6s", "C) 4.4s to 6.6s", "D) 5.4s to 7.6s"], "answer": "A) 3.4s to 5.6s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 11.6s to 14.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 3.4s to 5.2s", "B) 2.4s to 4.2s", "C) 4.4s to 6.2s", "D) 5.4s to 7.2s"], "answer": "A) 3.4s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 6.6s to 13.4s", "B) 4.6s to 11.4s", "C) 7.6s to 14.4s", "D) 5.6s to 12.4s"], "answer": "D) 5.6s to 12.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 3.0s to 7.2s", "B) 4.0s to 8.2s", "C) 5.0s to 9.2s", "D) 6.0s to 10.2s"], "answer": "B) 4.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 5.6s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 6.0s to 10.2s", "B) 5.0s to 9.2s", "C) 3.0s to 7.2s", "D) 4.0s to 8.2s"], "answer": "D) 4.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 6.6s to 13.4s", "B) 7.6s to 14.4s", "C) 5.6s to 12.4s", "D) 4.6s to 11.4s"], "answer": "C) 5.6s to 12.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 4.0s to 8.2s", "B) 3.0s to 7.2s", "C) 6.0s to 10.2s", "D) 5.0s to 9.2s"], "answer": "A) 4.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 5.6s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 3.0s to 7.2s", "B) 4.0s to 8.2s", "C) 6.0s to 10.2s", "D) 5.0s to 9.2s"], "answer": "B) 4.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelving' is clearly visible from 6.2s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelving' in Video 2.", "options": ["A) 3.6s to 8.0s", "B) 2.6s to 7.0s", "C) 4.6s to 9.0s", "D) 5.6s to 10.0s"], "answer": "A) 3.6s to 8.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen island' is clearly visible from 11.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen island' in Video 2.", "options": ["A) 6.4s to 10.8s", "B) 8.4s to 12.8s", "C) 7.4s to 11.8s", "D) 9.4s to 13.8s"], "answer": "C) 7.4s to 11.8s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen island' is clearly visible from 11.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen island' in Video 2.", "options": ["A) 4.4s to 9.0s", "B) 2.4s to 7.0s", "C) 5.4s to 10.0s", "D) 3.4s to 8.0s"], "answer": "D) 3.4s to 8.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen island' is clearly visible from 7.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen island' in Video 2.", "options": ["A) 4.4s to 9.0s", "B) 2.4s to 7.0s", "C) 3.4s to 8.0s", "D) 5.4s to 10.0s"], "answer": "C) 3.4s to 8.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.4s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 2.8s to 4.2s", "B) 3.8s to 5.2s", "C) 5.8s to 7.2s", "D) 4.8s to 6.2s"], "answer": "B) 3.8s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'trashcan' is clearly visible from 12.6s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'trashcan' in Video 2.", "options": ["A) 8.6s to 12.4s", "B) 9.6s to 13.4s", "C) 6.6s to 10.4s", "D) 7.6s to 11.4s"], "answer": "D) 7.6s to 11.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'trashcan' is clearly visible from 12.6s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'trashcan' in Video 2.", "options": ["A) 4.2s to 7.4s", "B) 6.2s to 9.4s", "C) 3.2s to 6.4s", "D) 5.2s to 8.4s"], "answer": "A) 4.2s to 7.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'trashcan' is clearly visible from 7.6s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'trashcan' in Video 2.", "options": ["A) 5.2s to 8.4s", "B) 6.2s to 9.4s", "C) 3.2s to 6.4s", "D) 4.2s to 7.4s"], "answer": "D) 4.2s to 7.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 11.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 7.4s to 12.0s", "B) 8.4s to 13.0s", "C) 6.4s to 11.0s", "D) 9.4s to 14.0s"], "answer": "A) 7.4s to 12.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 11.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 3.0s to 8.0s", "B) 5.0s to 10.0s", "C) 2.0s to 7.0s", "D) 4.0s to 9.0s"], "answer": "A) 3.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 7.4s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 2.0s to 7.0s", "B) 5.0s to 10.0s", "C) 3.0s to 8.0s", "D) 4.0s to 9.0s"], "answer": "C) 3.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stove' is clearly visible from 11.8s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'stove' in Video 2.", "options": ["A) 3.0s to 5.2s", "B) 4.0s to 6.2s", "C) 2.0s to 4.2s", "D) 5.0s to 7.2s"], "answer": "A) 3.0s to 5.2s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 12.2s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 7.4s to 8.4s", "B) 8.4s to 9.4s", "C) 9.4s to 10.4s", "D) 10.4s to 11.4s"], "answer": "B) 8.4s to 9.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 12.2s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 6.0s to 7.4s", "B) 3.0s to 4.4s", "C) 5.0s to 6.4s", "D) 4.0s to 5.4s"], "answer": "D) 4.0s to 5.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam0/cam0.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 11.2s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 5.0s to 6.4s", "B) 3.0s to 4.4s", "C) 6.0s to 7.4s", "D) 4.0s to 5.4s"], "answer": "D) 4.0s to 5.4s", "videos": ["dataset/habitat_data/general/val/BAbdmeyTvMZ/cam1/cam1.mp4", "dataset/habitat_data/general/val/BAbdmeyTvMZ/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 11.4s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 18.4s to 19.8s", "B) 19.4s to 20.8s", "C) 17.4s to 18.8s", "D) 16.4s to 17.8s"], "answer": "C) 17.4s to 18.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 8.2s to 11.8s", "B) 9.2s to 12.8s", "C) 10.2s to 13.8s", "D) 7.2s to 10.8s"], "answer": "A) 8.2s to 11.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 9.2s to 12.8s", "B) 10.2s to 13.8s", "C) 8.2s to 11.8s", "D) 7.2s to 10.8s"], "answer": "C) 8.2s to 11.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 9.4s to 12.0s", "B) 7.4s to 10.0s", "C) 8.4s to 11.0s", "D) 10.4s to 13.0s"], "answer": "C) 8.4s to 11.0s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.4s to 12.8s", "B) 10.4s to 13.8s", "C) 8.4s to 11.8s", "D) 7.4s to 10.8s"], "answer": "C) 8.4s to 11.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.6s to 13.6s", "B) 10.6s to 11.6s", "C) 9.6s to 10.6s", "D) 11.6s to 12.6s"], "answer": "B) 10.6s to 11.6s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 8.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.6s to 10.6s", "B) 11.6s to 12.6s", "C) 12.6s to 13.6s", "D) 10.6s to 11.6s"], "answer": "D) 10.6s to 11.6s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 8.8s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 8.8s to 10.6s", "B) 9.8s to 11.6s", "C) 11.8s to 13.6s", "D) 10.8s to 12.6s"], "answer": "B) 9.8s to 11.6s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 17.8s to 19.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 10.6s to 12.4s", "B) 11.6s to 13.4s", "C) 8.6s to 10.4s", "D) 9.6s to 11.4s"], "answer": "D) 9.6s to 11.4s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 17.8s to 19.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 11.4s to 13.8s", "B) 8.4s to 10.8s", "C) 10.4s to 12.8s", "D) 9.4s to 11.8s"], "answer": "D) 9.4s to 11.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 9.6s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.4s to 11.8s", "B) 11.4s to 13.8s", "C) 10.4s to 12.8s", "D) 8.4s to 10.8s"], "answer": "A) 9.4s to 11.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 17.6s to 18.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 12.2s to 13.0s", "B) 9.2s to 10.0s", "C) 10.2s to 11.0s", "D) 11.2s to 12.0s"], "answer": "C) 10.2s to 11.0s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 17.6s to 18.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 11.2s to 15.0s", "B) 9.2s to 13.0s", "C) 8.2s to 12.0s", "D) 10.2s to 14.0s"], "answer": "B) 9.2s to 13.0s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 10.2s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 8.2s to 12.0s", "B) 9.2s to 13.0s", "C) 11.2s to 15.0s", "D) 10.2s to 14.0s"], "answer": "B) 9.2s to 13.0s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink cabinet' is clearly visible from 17.8s to 18.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink cabinet' in Video 2.", "options": ["A) 8.4s to 10.4s", "B) 10.4s to 12.4s", "C) 9.4s to 11.4s", "D) 11.4s to 13.4s"], "answer": "C) 9.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 6.2s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 2.0s to 5.8s", "B) 0.0s to 3.8s", "C) 3.0s to 6.8s", "D) 1.0s to 4.8s"], "answer": "B) 0.0s to 3.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.6s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 11.6s to 14.2s", "B) 14.6s to 17.2s", "C) 12.6s to 15.2s", "D) 13.6s to 16.2s"], "answer": "C) 12.6s to 15.2s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.6s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 4.0s to 7.8s", "B) 6.0s to 9.8s", "C) 5.0s to 8.8s", "D) 7.0s to 10.8s"], "answer": "C) 5.0s to 8.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.6s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 7.0s to 10.8s", "B) 4.0s to 7.8s", "C) 5.0s to 8.8s", "D) 6.0s to 9.8s"], "answer": "C) 5.0s to 8.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 9.6s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 17.8s to 18.8s", "C) 20.8s to 21.8s", "D) 18.8s to 19.8s"], "answer": "D) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 9.6s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 4.8s to 6.4s", "B) 3.8s to 5.4s", "C) 1.8s to 3.4s", "D) 2.8s to 4.4s"], "answer": "D) 2.8s to 4.4s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.8s to 5.4s", "B) 1.8s to 3.4s", "C) 4.8s to 6.4s", "D) 2.8s to 4.4s"], "answer": "D) 2.8s to 4.4s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 11.4s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 3.4s to 4.2s", "B) 5.4s to 6.2s", "C) 6.4s to 7.2s", "D) 4.4s to 5.2s"], "answer": "D) 4.4s to 5.2s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 11.6s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 16.0s to 16.8s", "B) 18.0s to 18.8s", "C) 19.0s to 19.8s", "D) 17.0s to 17.8s"], "answer": "D) 17.0s to 17.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 11.6s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 3.4s to 4.2s", "B) 4.4s to 5.2s", "C) 6.4s to 7.2s", "D) 5.4s to 6.2s"], "answer": "B) 4.4s to 5.2s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 17.0s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 4.4s to 5.2s", "B) 6.4s to 7.2s", "C) 5.4s to 6.2s", "D) 3.4s to 4.2s"], "answer": "A) 4.4s to 5.2s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 5.6s to 6.4s", "B) 6.6s to 7.4s", "C) 4.6s to 5.4s", "D) 3.6s to 4.4s"], "answer": "C) 4.6s to 5.4s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 11.8s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 18.8s to 19.8s", "B) 16.8s to 17.8s", "C) 17.8s to 18.8s", "D) 15.8s to 16.8s"], "answer": "B) 16.8s to 17.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 11.4s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 15.8s to 16.8s", "B) 17.8s to 18.8s", "C) 18.8s to 19.8s", "D) 16.8s to 17.8s"], "answer": "D) 16.8s to 17.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 11.4s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 4.4s to 5.2s", "B) 3.4s to 4.2s", "C) 6.4s to 7.2s", "D) 5.4s to 6.2s"], "answer": "A) 4.4s to 5.2s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 4.4s to 5.2s", "B) 3.4s to 4.2s", "C) 5.4s to 6.2s", "D) 6.4s to 7.2s"], "answer": "A) 4.4s to 5.2s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.4s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 15.8s to 16.8s", "B) 16.8s to 17.8s", "C) 17.8s to 18.8s", "D) 18.8s to 19.8s"], "answer": "B) 16.8s to 17.8s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.4s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 4.4s to 5.2s", "B) 6.4s to 7.2s", "C) 5.4s to 6.2s", "D) 3.4s to 4.2s"], "answer": "A) 4.4s to 5.2s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam0/cam0.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 6.4s to 7.2s", "B) 5.4s to 6.2s", "C) 3.4s to 4.2s", "D) 4.4s to 5.2s"], "answer": "D) 4.4s to 5.2s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 5.6s to 6.6s", "B) 3.6s to 4.6s", "C) 6.6s to 7.6s", "D) 4.6s to 5.6s"], "answer": "D) 4.6s to 5.6s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 4.6s to 5.6s", "B) 5.6s to 6.6s", "C) 3.6s to 4.6s", "D) 6.6s to 7.6s"], "answer": "A) 4.6s to 5.6s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 16.8s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 4.8s to 5.6s", "B) 5.8s to 6.6s", "C) 3.8s to 4.6s", "D) 6.8s to 7.6s"], "answer": "A) 4.8s to 5.6s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 3.6s to 5.2s", "B) 5.6s to 7.2s", "C) 4.6s to 6.2s", "D) 6.6s to 8.2s"], "answer": "C) 4.6s to 6.2s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 6.6s to 7.6s", "B) 4.6s to 5.6s", "C) 5.6s to 6.6s", "D) 3.6s to 4.6s"], "answer": "B) 4.6s to 5.6s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 3.6s to 4.6s", "B) 4.6s to 5.6s", "C) 6.6s to 7.6s", "D) 5.6s to 6.6s"], "answer": "B) 4.6s to 5.6s", "videos": ["dataset/habitat_data/general/val/CrMo8WxCyVb/cam1/cam1.mp4", "dataset/habitat_data/general/val/CrMo8WxCyVb/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 11.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 8.2s to 11.8s", "B) 6.2s to 9.8s", "C) 9.2s to 12.8s", "D) 7.2s to 10.8s"], "answer": "D) 7.2s to 10.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 11.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 1.4s to 3.2s", "B) 3.4s to 5.2s", "C) 0.4s to 2.2s", "D) 2.4s to 4.2s"], "answer": "A) 1.4s to 3.2s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 7.2s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 2.4s to 4.2s", "B) 3.4s to 5.2s", "C) 1.4s to 3.2s", "D) 0.4s to 2.2s"], "answer": "C) 1.4s to 3.2s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 4.2s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 21.0s to 21.8s", "B) 18.0s to 18.8s", "C) 19.0s to 19.8s", "D) 20.0s to 20.8s"], "answer": "C) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 4.2s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.2s to 7.8s", "B) 10.2s to 10.8s", "C) 9.2s to 9.8s", "D) 8.2s to 8.8s"], "answer": "D) 8.2s to 8.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.2s to 8.8s", "B) 10.2s to 10.8s", "C) 9.2s to 9.8s", "D) 7.2s to 7.8s"], "answer": "A) 8.2s to 8.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 8.6s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.6s to 15.0s", "B) 12.6s to 18.0s", "C) 11.6s to 17.0s", "D) 10.6s to 16.0s"], "answer": "D) 10.6s to 16.0s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 8.6s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 5.2s to 8.2s", "B) 3.2s to 6.2s", "C) 4.2s to 7.2s", "D) 6.2s to 9.2s"], "answer": "C) 4.2s to 7.2s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 10.6s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.2s to 6.2s", "B) 5.2s to 8.2s", "C) 6.2s to 9.2s", "D) 4.2s to 7.2s"], "answer": "D) 4.2s to 7.2s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.2s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 15.4s to 16.4s", "B) 16.4s to 17.4s", "C) 17.4s to 18.4s", "D) 18.4s to 19.4s"], "answer": "B) 16.4s to 17.4s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.2s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 8.6s to 13.8s", "B) 9.6s to 14.8s", "C) 6.6s to 11.8s", "D) 7.6s to 12.8s"], "answer": "D) 7.6s to 12.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 18.8s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 9.6s to 14.8s", "B) 8.6s to 13.8s", "C) 7.6s to 12.8s", "D) 6.6s to 11.8s"], "answer": "C) 7.6s to 12.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.0s to 5.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 17.8s to 18.6s", "B) 20.8s to 21.6s", "C) 18.8s to 19.6s", "D) 19.8s to 20.6s"], "answer": "C) 18.8s to 19.6s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.0s to 5.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 9.0s to 12.8s", "B) 10.0s to 13.8s", "C) 11.0s to 14.8s", "D) 8.0s to 11.8s"], "answer": "A) 9.0s to 12.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 18.8s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 10.0s to 13.8s", "B) 11.0s to 14.8s", "C) 8.0s to 11.8s", "D) 9.0s to 12.8s"], "answer": "D) 9.0s to 12.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 2.2s to 4.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 20.8s to 21.8s", "B) 17.8s to 18.8s", "C) 18.8s to 19.8s", "D) 19.8s to 20.8s"], "answer": "C) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 2.2s to 4.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 11.8s to 15.0s", "B) 8.8s to 12.0s", "C) 9.8s to 13.0s", "D) 10.8s to 14.0s"], "answer": "C) 9.8s to 13.0s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 10.8s to 14.0s", "B) 9.8s to 13.0s", "C) 8.8s to 12.0s", "D) 11.8s to 15.0s"], "answer": "B) 9.8s to 13.0s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 0.0s to 2.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 10.4s to 13.6s", "B) 11.4s to 14.6s", "C) 9.4s to 12.6s", "D) 12.4s to 15.6s"], "answer": "A) 10.4s to 13.6s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 1.8s to 4.8s", "B) 3.8s to 6.8s", "C) 2.8s to 5.8s", "D) 4.8s to 7.8s"], "answer": "C) 2.8s to 5.8s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 14.6s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 5.6s to 8.2s", "B) 2.6s to 5.2s", "C) 3.6s to 6.2s", "D) 4.6s to 7.2s"], "answer": "C) 3.6s to 6.2s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window curtain' is clearly visible from 19.2s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window curtain' in Video 2.", "options": ["A) 0.0s to 6.0s", "B) 2.0s to 8.0s", "C) 1.0s to 7.0s", "D) 3.0s to 9.0s"], "answer": "A) 0.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 0.6s to 3.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 13.0s to 16.2s", "B) 12.0s to 15.2s", "C) 11.0s to 14.2s", "D) 10.0s to 13.2s"], "answer": "C) 11.0s to 14.2s", "videos": ["dataset/habitat_data/general/val/DYehNKdT76V/cam0/cam0.mp4", "dataset/habitat_data/general/val/DYehNKdT76V/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 15.4s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 3.4s to 7.2s", "B) 4.4s to 8.2s", "C) 2.4s to 6.2s", "D) 1.4s to 5.2s"], "answer": "C) 2.4s to 6.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 14.0s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 6.6s to 11.8s", "B) 5.6s to 10.8s", "C) 4.6s to 9.8s", "D) 3.6s to 8.8s"], "answer": "C) 4.6s to 9.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 14.0s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 17.2s to 18.6s", "B) 18.2s to 19.6s", "C) 19.2s to 20.6s", "D) 20.2s to 21.6s"], "answer": "B) 18.2s to 19.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 4.6s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 17.2s to 18.6s", "B) 19.2s to 20.6s", "C) 18.2s to 19.6s", "D) 20.2s to 21.6s"], "answer": "C) 18.2s to 19.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace wall' is clearly visible from 14.4s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace wall' in Video 2.", "options": ["A) 5.4s to 10.8s", "B) 6.4s to 11.8s", "C) 3.4s to 8.8s", "D) 4.4s to 9.8s"], "answer": "D) 4.4s to 9.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace wall' is clearly visible from 14.4s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace wall' in Video 2.", "options": ["A) 18.2s to 19.8s", "B) 17.2s to 18.8s", "C) 20.2s to 21.8s", "D) 19.2s to 20.8s"], "answer": "A) 18.2s to 19.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace wall' is clearly visible from 4.4s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace wall' in Video 2.", "options": ["A) 17.2s to 18.8s", "B) 20.2s to 21.8s", "C) 18.2s to 19.8s", "D) 19.2s to 20.8s"], "answer": "C) 18.2s to 19.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace wall' is clearly visible from 13.8s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace wall' in Video 2.", "options": ["A) 6.2s to 10.0s", "B) 5.2s to 9.0s", "C) 7.2s to 11.0s", "D) 4.2s to 8.0s"], "answer": "B) 5.2s to 9.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace wall' is clearly visible from 13.8s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace wall' in Video 2.", "options": ["A) 16.8s to 18.4s", "B) 17.8s to 19.4s", "C) 18.8s to 20.4s", "D) 19.8s to 21.4s"], "answer": "B) 17.8s to 19.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace wall' is clearly visible from 5.2s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace wall' in Video 2.", "options": ["A) 19.8s to 21.4s", "B) 17.8s to 19.4s", "C) 16.8s to 18.4s", "D) 18.8s to 20.4s"], "answer": "B) 17.8s to 19.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 13.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 6.6s to 10.0s", "B) 7.6s to 11.0s", "C) 5.6s to 9.0s", "D) 4.6s to 8.0s"], "answer": "C) 5.6s to 9.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 14.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 4.4s to 8.0s", "B) 7.4s to 11.0s", "C) 6.4s to 10.0s", "D) 5.4s to 9.0s"], "answer": "D) 5.4s to 9.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 14.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 17.2s to 18.2s", "B) 20.2s to 21.2s", "C) 19.2s to 20.2s", "D) 18.2s to 19.2s"], "answer": "D) 18.2s to 19.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 5.4s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 18.2s to 19.2s", "B) 17.2s to 18.2s", "C) 20.2s to 21.2s", "D) 19.2s to 20.2s"], "answer": "A) 18.2s to 19.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 14.6s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 5.6s to 10.8s", "B) 6.6s to 11.8s", "C) 4.6s to 9.8s", "D) 3.6s to 8.8s"], "answer": "C) 4.6s to 9.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'podium' is clearly visible from 14.4s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'podium' in Video 2.", "options": ["A) 5.8s to 10.8s", "B) 4.8s to 9.8s", "C) 6.8s to 11.8s", "D) 3.8s to 8.8s"], "answer": "B) 4.8s to 9.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 13.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 4.6s to 8.2s", "B) 5.6s to 9.2s", "C) 7.6s to 11.2s", "D) 6.6s to 10.2s"], "answer": "B) 5.6s to 9.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 16.6s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 0.8s to 6.0s", "B) 1.8s to 7.0s", "C) 2.8s to 8.0s", "D) 3.8s to 9.0s"], "answer": "A) 0.8s to 6.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 15.2s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 5.8s to 8.2s", "B) 2.8s to 5.2s", "C) 3.8s to 6.2s", "D) 4.8s to 7.2s"], "answer": "C) 3.8s to 6.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'podium' is clearly visible from 14.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'podium' in Video 2.", "options": ["A) 8.0s to 10.2s", "B) 10.0s to 12.2s", "C) 9.0s to 11.2s", "D) 7.0s to 9.2s"], "answer": "A) 8.0s to 10.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'podium' is clearly visible from 14.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'podium' in Video 2.", "options": ["A) 18.2s to 19.6s", "B) 15.2s to 16.6s", "C) 17.2s to 18.6s", "D) 16.2s to 17.6s"], "answer": "D) 16.2s to 17.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'podium' is clearly visible from 8.0s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'podium' in Video 2.", "options": ["A) 17.2s to 18.6s", "B) 18.2s to 19.6s", "C) 16.2s to 17.6s", "D) 15.2s to 16.6s"], "answer": "C) 16.2s to 17.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 13.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 7.8s to 10.6s", "B) 4.8s to 7.6s", "C) 5.8s to 8.6s", "D) 6.8s to 9.6s"], "answer": "C) 5.8s to 8.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 13.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 16.8s to 18.2s", "B) 17.8s to 19.2s", "C) 15.8s to 17.2s", "D) 18.8s to 20.2s"], "answer": "A) 16.8s to 18.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.8s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 15.8s to 17.2s", "B) 18.8s to 20.2s", "C) 17.8s to 19.2s", "D) 16.8s to 18.2s"], "answer": "D) 16.8s to 18.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 15.4s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 4.4s to 8.2s", "B) 2.4s to 6.2s", "C) 3.4s to 7.2s", "D) 1.4s to 5.2s"], "answer": "B) 2.4s to 6.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 16.8s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 3.0s to 9.0s", "B) 1.0s to 7.0s", "C) 0.0s to 6.0s", "D) 2.0s to 8.0s"], "answer": "C) 0.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'podium' is clearly visible from 13.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'podium' in Video 2.", "options": ["A) 17.6s to 18.8s", "B) 15.6s to 16.8s", "C) 18.6s to 19.8s", "D) 16.6s to 17.8s"], "answer": "D) 16.6s to 17.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fan' is clearly visible from 4.4s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fan' in Video 2.", "options": ["A) 16.4s to 18.2s", "B) 14.4s to 16.2s", "C) 13.4s to 15.2s", "D) 15.4s to 17.2s"], "answer": "B) 14.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fan' is clearly visible from 4.4s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fan' in Video 2.", "options": ["A) 10.4s to 11.6s", "B) 8.4s to 9.6s", "C) 9.4s to 10.6s", "D) 7.4s to 8.6s"], "answer": "B) 8.4s to 9.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fan' is clearly visible from 14.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'fan' in Video 2.", "options": ["A) 8.4s to 9.6s", "B) 7.4s to 8.6s", "C) 10.4s to 11.6s", "D) 9.4s to 10.6s"], "answer": "A) 8.4s to 9.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 5.6s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 15.8s to 16.8s", "B) 13.8s to 14.8s", "C) 14.8s to 15.8s", "D) 12.8s to 13.8s"], "answer": "B) 13.8s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 5.6s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 7.0s to 10.2s", "B) 10.0s to 13.2s", "C) 9.0s to 12.2s", "D) 8.0s to 11.2s"], "answer": "D) 8.0s to 11.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 13.8s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 9.0s to 12.2s", "B) 10.0s to 13.2s", "C) 8.0s to 11.2s", "D) 7.0s to 10.2s"], "answer": "C) 8.0s to 11.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 3.2s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 6.2s to 9.4s", "B) 7.2s to 10.4s", "C) 8.2s to 11.4s", "D) 9.2s to 12.4s"], "answer": "B) 7.2s to 10.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 7.8s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 7.0s to 10.2s", "B) 10.0s to 13.2s", "C) 8.0s to 11.2s", "D) 9.0s to 12.2s"], "answer": "C) 8.0s to 11.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 5.0s to 6.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 7.0s to 9.6s", "B) 9.0s to 11.6s", "C) 8.0s to 10.6s", "D) 10.0s to 12.6s"], "answer": "C) 8.0s to 10.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 14.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 10.2s to 10.6s", "B) 9.2s to 9.6s", "C) 8.2s to 8.6s", "D) 11.2s to 11.6s"], "answer": "B) 9.2s to 9.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 12.2s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 12.2s to 15.2s", "B) 15.2s to 18.2s", "C) 13.2s to 16.2s", "D) 14.2s to 17.2s"], "answer": "C) 13.2s to 16.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'refrigerator cabinet' is clearly visible from 8.8s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'refrigerator cabinet' in Video 2.", "options": ["A) 12.4s to 16.8s", "B) 9.4s to 13.8s", "C) 11.4s to 15.8s", "D) 10.4s to 14.8s"], "answer": "D) 10.4s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'refrigerator cabinet' is clearly visible from 8.8s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'refrigerator cabinet' in Video 2.", "options": ["A) 11.0s to 11.4s", "B) 10.0s to 10.4s", "C) 13.0s to 13.4s", "D) 12.0s to 12.4s"], "answer": "A) 11.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'refrigerator cabinet' is clearly visible from 10.4s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'refrigerator cabinet' in Video 2.", "options": ["A) 10.0s to 10.4s", "B) 11.0s to 11.4s", "C) 13.0s to 13.4s", "D) 12.0s to 12.4s"], "answer": "B) 11.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'refrigerator' is clearly visible from 8.8s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'refrigerator' in Video 2.", "options": ["A) 12.4s to 16.8s", "B) 10.4s to 14.8s", "C) 9.4s to 13.8s", "D) 11.4s to 15.8s"], "answer": "B) 10.4s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'refrigerator' is clearly visible from 8.8s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'refrigerator' in Video 2.", "options": ["A) 10.0s to 10.4s", "B) 12.0s to 12.4s", "C) 13.0s to 13.4s", "D) 11.0s to 11.4s"], "answer": "D) 11.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'refrigerator' is clearly visible from 10.4s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'refrigerator' in Video 2.", "options": ["A) 12.0s to 12.4s", "B) 11.0s to 11.4s", "C) 13.0s to 13.4s", "D) 10.0s to 10.4s"], "answer": "B) 11.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 8.2s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 11.0s to 14.8s", "B) 12.0s to 15.8s", "C) 10.0s to 13.8s", "D) 13.0s to 16.8s"], "answer": "A) 11.0s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 9.2s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 14.0s to 16.8s", "B) 13.0s to 15.8s", "C) 12.0s to 14.8s", "D) 11.0s to 13.8s"], "answer": "C) 12.0s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 9.2s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 17.8s to 19.2s", "B) 15.8s to 17.2s", "C) 14.8s to 16.2s", "D) 16.8s to 18.2s"], "answer": "B) 15.8s to 17.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 12.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 17.8s to 19.2s", "B) 15.8s to 17.2s", "C) 14.8s to 16.2s", "D) 16.8s to 18.2s"], "answer": "B) 15.8s to 17.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 8.8s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 13.2s to 17.2s", "B) 14.2s to 18.2s", "C) 11.2s to 15.2s", "D) 12.2s to 16.2s"], "answer": "D) 12.2s to 16.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 8.8s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 10.6s to 11.6s", "B) 9.6s to 10.6s", "C) 11.6s to 12.6s", "D) 8.6s to 9.6s"], "answer": "B) 9.6s to 10.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 12.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 10.6s to 11.6s", "B) 8.6s to 9.6s", "C) 9.6s to 10.6s", "D) 11.6s to 12.6s"], "answer": "C) 9.6s to 10.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 8.8s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 11.0s to 13.8s", "B) 12.0s to 14.8s", "C) 14.0s to 16.8s", "D) 13.0s to 15.8s"], "answer": "B) 12.0s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 8.8s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 11.4s to 11.8s", "B) 10.4s to 10.8s", "C) 9.4s to 9.8s", "D) 12.4s to 12.8s"], "answer": "B) 10.4s to 10.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 12.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 11.4s to 11.8s", "B) 9.4s to 9.8s", "C) 12.4s to 12.8s", "D) 10.4s to 10.8s"], "answer": "D) 10.4s to 10.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 10.4s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 14.4s to 17.2s", "B) 15.4s to 18.2s", "C) 12.4s to 15.2s", "D) 13.4s to 16.2s"], "answer": "D) 13.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 9.6s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 14.2s to 17.2s", "B) 15.2s to 18.2s", "C) 13.2s to 16.2s", "D) 12.2s to 15.2s"], "answer": "C) 13.2s to 16.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 9.6s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 16.8s to 17.8s", "B) 15.8s to 16.8s", "C) 17.8s to 18.8s", "D) 14.8s to 15.8s"], "answer": "B) 15.8s to 16.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 13.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 16.8s to 17.8s", "B) 17.8s to 18.8s", "C) 15.8s to 16.8s", "D) 14.8s to 15.8s"], "answer": "C) 15.8s to 16.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 8.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 10.8s to 15.2s", "B) 11.8s to 16.2s", "C) 12.8s to 17.2s", "D) 13.8s to 18.2s"], "answer": "B) 11.8s to 16.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 8.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 10.6s to 11.6s", "B) 9.6s to 10.6s", "C) 8.6s to 9.6s", "D) 11.6s to 12.6s"], "answer": "B) 9.6s to 10.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 11.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 9.6s to 10.6s", "B) 11.6s to 12.6s", "C) 10.6s to 11.6s", "D) 8.6s to 9.6s"], "answer": "A) 9.6s to 10.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 9.8s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 12.0s to 16.8s", "B) 11.0s to 15.8s", "C) 10.0s to 14.8s", "D) 9.0s to 13.8s"], "answer": "C) 10.0s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 9.8s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 13.2s to 16.0s", "B) 11.2s to 14.0s", "C) 10.2s to 13.0s", "D) 12.2s to 15.0s"], "answer": "B) 11.2s to 14.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 10.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 12.2s to 15.0s", "B) 11.2s to 14.0s", "C) 13.2s to 16.0s", "D) 10.2s to 13.0s"], "answer": "B) 11.2s to 14.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 9.6s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 10.0s to 14.8s", "B) 9.0s to 13.8s", "C) 12.0s to 16.8s", "D) 11.0s to 15.8s"], "answer": "A) 10.0s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 9.6s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 12.6s to 14.0s", "B) 14.6s to 16.0s", "C) 11.6s to 13.0s", "D) 13.6s to 15.0s"], "answer": "A) 12.6s to 14.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen lower cabinet' is clearly visible from 15.6s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen lower cabinet' in Video 2.", "options": ["A) 13.6s to 15.0s", "B) 12.6s to 14.0s", "C) 14.6s to 16.0s", "D) 11.6s to 13.0s"], "answer": "B) 12.6s to 14.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 7.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 10.4s to 12.8s", "B) 13.4s to 15.8s", "C) 11.4s to 13.8s", "D) 12.4s to 14.8s"], "answer": "C) 11.4s to 13.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 7.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 10.6s to 11.4s", "B) 9.6s to 10.4s", "C) 11.6s to 12.4s", "D) 12.6s to 13.4s"], "answer": "A) 10.6s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'flower vase' is clearly visible from 11.4s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'flower vase' in Video 2.", "options": ["A) 10.6s to 11.4s", "B) 11.6s to 12.4s", "C) 9.6s to 10.4s", "D) 12.6s to 13.4s"], "answer": "A) 10.6s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 6.8s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 10.4s to 12.4s", "B) 13.4s to 15.4s", "C) 11.4s to 13.4s", "D) 12.4s to 14.4s"], "answer": "C) 11.4s to 13.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 6.8s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 11.4s to 12.4s", "B) 9.4s to 10.4s", "C) 10.4s to 11.4s", "D) 12.4s to 13.4s"], "answer": "C) 10.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 11.4s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 9.4s to 10.4s", "B) 10.4s to 11.4s", "C) 12.4s to 13.4s", "D) 11.4s to 12.4s"], "answer": "B) 10.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 7.4s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 10.6s to 11.8s", "B) 11.6s to 12.8s", "C) 12.6s to 13.8s", "D) 13.6s to 14.8s"], "answer": "B) 11.6s to 12.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bench' is clearly visible from 6.8s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bench' in Video 2.", "options": ["A) 10.4s to 13.0s", "B) 11.4s to 14.0s", "C) 12.4s to 15.0s", "D) 13.4s to 16.0s"], "answer": "B) 11.4s to 14.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bench' is clearly visible from 6.8s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bench' in Video 2.", "options": ["A) 9.4s to 10.4s", "B) 12.4s to 13.4s", "C) 10.4s to 11.4s", "D) 11.4s to 12.4s"], "answer": "C) 10.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bench' is clearly visible from 11.4s to 14.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'bench' in Video 2.", "options": ["A) 12.4s to 13.4s", "B) 11.4s to 12.4s", "C) 9.4s to 10.4s", "D) 10.4s to 11.4s"], "answer": "D) 10.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stove' is clearly visible from 10.0s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'stove' in Video 2.", "options": ["A) 14.8s to 16.2s", "B) 17.8s to 19.2s", "C) 16.8s to 18.2s", "D) 15.8s to 17.2s"], "answer": "D) 15.8s to 17.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen extractor' is clearly visible from 9.6s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen extractor' in Video 2.", "options": ["A) 12.2s to 14.4s", "B) 15.2s to 17.4s", "C) 14.2s to 16.4s", "D) 13.2s to 15.4s"], "answer": "D) 13.2s to 15.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen extractor' is clearly visible from 9.6s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen extractor' in Video 2.", "options": ["A) 15.0s to 15.8s", "B) 16.0s to 16.8s", "C) 17.0s to 17.8s", "D) 18.0s to 18.8s"], "answer": "B) 16.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen extractor' is clearly visible from 13.2s to 15.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen extractor' in Video 2.", "options": ["A) 17.0s to 17.8s", "B) 15.0s to 15.8s", "C) 18.0s to 18.8s", "D) 16.0s to 16.8s"], "answer": "D) 16.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 7.2s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 11.6s to 13.2s", "B) 10.6s to 12.2s", "C) 13.6s to 15.2s", "D) 12.6s to 14.2s"], "answer": "A) 11.6s to 13.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 9.2s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 14.6s to 16.2s", "B) 12.6s to 14.2s", "C) 13.6s to 15.2s", "D) 11.6s to 13.2s"], "answer": "B) 12.6s to 14.2s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 8.0s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 11.0s to 13.8s", "B) 13.0s to 15.8s", "C) 12.0s to 14.8s", "D) 14.0s to 16.8s"], "answer": "C) 12.0s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 8.0s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 9.6s to 10.4s", "B) 12.6s to 13.4s", "C) 11.6s to 12.4s", "D) 10.6s to 11.4s"], "answer": "D) 10.6s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 12.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 10.6s to 11.4s", "B) 11.6s to 12.4s", "C) 9.6s to 10.4s", "D) 12.6s to 13.4s"], "answer": "A) 10.6s to 11.4s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 8.4s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 12.2s to 15.8s", "B) 13.2s to 16.8s", "C) 10.2s to 13.8s", "D) 11.2s to 14.8s"], "answer": "D) 11.2s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 8.4s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 11.8s to 13.0s", "B) 12.8s to 14.0s", "C) 14.8s to 16.0s", "D) 13.8s to 15.0s"], "answer": "B) 12.8s to 14.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 11.2s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 14.8s to 16.0s", "B) 12.8s to 14.0s", "C) 13.8s to 15.0s", "D) 11.8s to 13.0s"], "answer": "B) 12.8s to 14.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 9.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 14.0s to 16.8s", "B) 11.0s to 13.8s", "C) 12.0s to 14.8s", "D) 13.0s to 15.8s"], "answer": "C) 12.0s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 9.6s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 11.8s to 15.8s", "B) 12.8s to 16.8s", "C) 10.8s to 14.8s", "D) 9.8s to 13.8s"], "answer": "C) 10.8s to 14.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.2s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 4.4s to 9.8s", "B) 7.4s to 12.8s", "C) 5.4s to 10.8s", "D) 6.4s to 11.8s"], "answer": "C) 5.4s to 10.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.2s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 18.6s to 19.8s", "B) 17.6s to 18.8s", "C) 19.6s to 20.8s", "D) 20.6s to 21.8s"], "answer": "A) 18.6s to 19.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.2s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 4.2s to 9.8s", "B) 7.2s to 12.8s", "C) 6.2s to 11.8s", "D) 5.2s to 10.8s"], "answer": "D) 5.2s to 10.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 7.2s to 12.8s", "B) 4.2s to 9.8s", "C) 5.2s to 10.8s", "D) 6.2s to 11.8s"], "answer": "C) 5.2s to 10.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 5.2s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 20.8s to 21.8s", "B) 19.8s to 20.8s", "C) 18.8s to 19.8s", "D) 17.8s to 18.8s"], "answer": "C) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 5.2s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 5.4s to 11.0s", "B) 4.4s to 10.0s", "C) 7.4s to 13.0s", "D) 6.4s to 12.0s"], "answer": "A) 5.4s to 11.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 7.4s to 13.0s", "B) 6.4s to 12.0s", "C) 5.4s to 11.0s", "D) 4.4s to 10.0s"], "answer": "C) 5.4s to 11.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 5.2s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 17.2s to 19.6s", "B) 18.2s to 20.6s", "C) 16.2s to 18.6s", "D) 19.2s to 21.6s"], "answer": "A) 17.2s to 19.6s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 5.2s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 5.4s to 11.0s", "B) 4.4s to 10.0s", "C) 6.4s to 12.0s", "D) 7.4s to 13.0s"], "answer": "A) 5.4s to 11.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam0/cam0.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 17.2s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 6.4s to 12.0s", "B) 5.4s to 11.0s", "C) 4.4s to 10.0s", "D) 7.4s to 13.0s"], "answer": "B) 5.4s to 11.0s", "videos": ["dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam1/cam1.mp4", "dataset/habitat_data/general/val/Dd4bFSTQ8gi/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 13.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 17.6s to 18.8s", "B) 15.6s to 16.8s", "C) 16.6s to 17.8s", "D) 18.6s to 19.8s"], "answer": "C) 16.6s to 17.8s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 13.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 4.4s to 5.6s", "B) 3.4s to 4.6s", "C) 2.4s to 3.6s", "D) 1.4s to 2.6s"], "answer": "C) 2.4s to 3.6s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 16.6s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 3.4s to 4.6s", "B) 4.4s to 5.6s", "C) 1.4s to 2.6s", "D) 2.4s to 3.6s"], "answer": "D) 2.4s to 3.6s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'telephone' is clearly visible from 14.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'telephone' in Video 2.", "options": ["A) 17.4s to 18.6s", "B) 16.4s to 17.6s", "C) 15.4s to 16.6s", "D) 18.4s to 19.6s"], "answer": "B) 16.4s to 17.6s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 18.4s to 20.0s", "B) 15.4s to 17.0s", "C) 16.4s to 18.0s", "D) 17.4s to 19.0s"], "answer": "C) 16.4s to 18.0s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa chair' is clearly visible from 14.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa chair' in Video 2.", "options": ["A) 15.4s to 17.0s", "B) 14.4s to 16.0s", "C) 16.4s to 18.0s", "D) 17.4s to 19.0s"], "answer": "A) 15.4s to 17.0s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'small table/stand' is clearly visible from 15.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'small table/stand' in Video 2.", "options": ["A) 17.0s to 18.6s", "B) 14.0s to 15.6s", "C) 15.0s to 16.6s", "D) 16.0s to 17.6s"], "answer": "C) 15.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'small table/stand' is clearly visible from 15.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'small table/stand' in Video 2.", "options": ["A) 17.0s to 18.6s", "B) 16.0s to 17.6s", "C) 14.0s to 15.6s", "D) 15.0s to 16.6s"], "answer": "D) 15.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ventilation hood' is clearly visible from 13.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'ventilation hood' in Video 2.", "options": ["A) 2.4s to 4.2s", "B) 3.4s to 5.2s", "C) 0.4s to 2.2s", "D) 1.4s to 3.2s"], "answer": "C) 0.4s to 2.2s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 12.0s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 18.6s to 20.6s", "B) 16.6s to 18.6s", "C) 19.6s to 21.6s", "D) 17.6s to 19.6s"], "answer": "D) 17.6s to 19.6s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 12.0s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 3.6s to 11.0s", "B) 1.6s to 9.0s", "C) 2.6s to 10.0s", "D) 4.6s to 12.0s"], "answer": "C) 2.6s to 10.0s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 17.6s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 1.6s to 9.0s", "B) 2.6s to 10.0s", "C) 3.6s to 11.0s", "D) 4.6s to 12.0s"], "answer": "B) 2.6s to 10.0s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 12.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 1.4s to 3.2s", "B) 0.4s to 2.2s", "C) 3.4s to 5.2s", "D) 2.4s to 4.2s"], "answer": "B) 0.4s to 2.2s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 14.6s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 0.2s to 2.2s", "B) 3.2s to 5.2s", "C) 1.2s to 3.2s", "D) 2.2s to 4.2s"], "answer": "A) 0.2s to 2.2s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.0s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 2.2s to 4.2s", "B) 3.2s to 5.2s", "C) 0.2s to 2.2s", "D) 1.2s to 3.2s"], "answer": "C) 0.2s to 2.2s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bowl' is clearly visible from 12.2s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bowl' in Video 2.", "options": ["A) 1.2s to 3.2s", "B) 0.2s to 2.2s", "C) 3.2s to 5.2s", "D) 2.2s to 4.2s"], "answer": "B) 0.2s to 2.2s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 4.8s to 7.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 16.6s to 17.8s", "B) 17.6s to 18.8s", "C) 19.6s to 20.8s", "D) 18.6s to 19.8s"], "answer": "B) 17.6s to 18.8s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen island' is clearly visible from 11.8s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen island' in Video 2.", "options": ["A) 1.2s to 3.2s", "B) 3.2s to 5.2s", "C) 0.2s to 2.2s", "D) 2.2s to 4.2s"], "answer": "C) 0.2s to 2.2s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 13.4s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 0.0s to 1.4s", "B) 1.0s to 2.4s", "C) 2.0s to 3.4s", "D) 3.0s to 4.4s"], "answer": "B) 1.0s to 2.4s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'oven' is clearly visible from 12.0s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'oven' in Video 2.", "options": ["A) 2.2s to 4.2s", "B) 0.2s to 2.2s", "C) 1.2s to 3.2s", "D) 3.2s to 5.2s"], "answer": "B) 0.2s to 2.2s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 11.8s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 3.2s to 5.2s", "B) 1.2s to 3.2s", "C) 2.2s to 4.2s", "D) 0.2s to 2.2s"], "answer": "D) 0.2s to 2.2s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 13.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.2s to 4.2s", "B) 0.2s to 1.2s", "C) 1.2s to 2.2s", "D) 2.2s to 3.2s"], "answer": "C) 1.2s to 2.2s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam1/cam1.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 4.6s to 7.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 16.6s to 17.8s", "B) 19.6s to 20.8s", "C) 17.6s to 18.8s", "D) 18.6s to 19.8s"], "answer": "C) 17.6s to 18.8s", "videos": ["dataset/habitat_data/general/val/GLAQ4DNUx5U/cam0/cam0.mp4", "dataset/habitat_data/general/val/GLAQ4DNUx5U/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 7.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 16.4s to 18.2s", "B) 15.4s to 17.2s", "C) 17.4s to 19.2s", "D) 14.4s to 16.2s"], "answer": "B) 15.4s to 17.2s", "videos": ["dataset/habitat_data/general/val/HY1NcmCgn3n/cam0/cam0.mp4", "dataset/habitat_data/general/val/HY1NcmCgn3n/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 9.0s to 14.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 5.4s to 7.6s", "B) 7.4s to 9.6s", "C) 6.4s to 8.6s", "D) 4.4s to 6.6s"], "answer": "A) 5.4s to 7.6s", "videos": ["dataset/habitat_data/general/val/LT9Jq6dN3Ea/cam1/cam1.mp4", "dataset/habitat_data/general/val/LT9Jq6dN3Ea/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'counter' is clearly visible from 13.8s to 15.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'counter' in Video 2.", "options": ["A) 6.0s to 8.4s", "B) 7.0s to 9.4s", "C) 4.0s to 6.4s", "D) 5.0s to 7.4s"], "answer": "D) 5.0s to 7.4s", "videos": ["dataset/habitat_data/general/val/LT9Jq6dN3Ea/cam1/cam1.mp4", "dataset/habitat_data/general/val/LT9Jq6dN3Ea/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dining table' is clearly visible from 16.4s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'dining table' in Video 2.", "options": ["A) 17.4s to 18.4s", "B) 15.4s to 16.4s", "C) 14.4s to 15.4s", "D) 16.4s to 17.4s"], "answer": "B) 15.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/LT9Jq6dN3Ea/cam0/cam0.mp4", "dataset/habitat_data/general/val/LT9Jq6dN3Ea/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa chair' is clearly visible from 14.6s to 15.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa chair' in Video 2.", "options": ["A) 4.0s to 6.4s", "B) 5.0s to 7.4s", "C) 7.0s to 9.4s", "D) 6.0s to 8.4s"], "answer": "B) 5.0s to 7.4s", "videos": ["dataset/habitat_data/general/val/LT9Jq6dN3Ea/cam1/cam1.mp4", "dataset/habitat_data/general/val/LT9Jq6dN3Ea/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 0.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 17.2s to 18.6s", "B) 16.2s to 17.6s", "C) 18.2s to 19.6s", "D) 19.2s to 20.6s"], "answer": "A) 17.2s to 18.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 0.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 5.6s to 7.8s", "B) 4.6s to 6.8s", "C) 3.6s to 5.8s", "D) 2.6s to 4.8s"], "answer": "C) 3.6s to 5.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 17.2s to 18.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 2.6s to 4.8s", "B) 3.6s to 5.8s", "C) 4.6s to 6.8s", "D) 5.6s to 7.8s"], "answer": "B) 3.6s to 5.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 1.4s to 8.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 16.6s to 18.8s", "B) 14.6s to 16.8s", "C) 17.6s to 19.8s", "D) 15.6s to 17.8s"], "answer": "D) 15.6s to 17.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 1.4s to 8.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 7.6s to 11.8s", "B) 8.6s to 12.8s", "C) 6.6s to 10.8s", "D) 9.6s to 13.8s"], "answer": "A) 7.6s to 11.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 15.6s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 8.6s to 12.8s", "B) 7.6s to 11.8s", "C) 9.6s to 13.8s", "D) 6.6s to 10.8s"], "answer": "B) 7.6s to 11.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 1.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 16.6s to 18.0s", "B) 17.6s to 19.0s", "C) 18.6s to 20.0s", "D) 15.6s to 17.0s"], "answer": "A) 16.6s to 18.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 1.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 6.4s to 10.8s", "B) 7.4s to 11.8s", "C) 9.4s to 13.8s", "D) 8.4s to 12.8s"], "answer": "B) 7.4s to 11.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 16.6s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 7.4s to 11.8s", "B) 8.4s to 12.8s", "C) 6.4s to 10.8s", "D) 9.4s to 13.8s"], "answer": "A) 7.4s to 11.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 2.2s to 8.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 13.8s to 18.2s", "B) 11.8s to 16.2s", "C) 12.8s to 17.2s", "D) 14.8s to 19.2s"], "answer": "C) 12.8s to 17.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 2.2s to 8.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 9.8s to 13.8s", "B) 6.8s to 10.8s", "C) 8.8s to 12.8s", "D) 7.8s to 11.8s"], "answer": "D) 7.8s to 11.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 12.8s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 8.8s to 12.8s", "B) 9.8s to 13.8s", "C) 7.8s to 11.8s", "D) 6.8s to 10.8s"], "answer": "C) 7.8s to 11.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 4.4s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 15.0s to 18.0s", "B) 16.0s to 19.0s", "C) 13.0s to 16.0s", "D) 14.0s to 17.0s"], "answer": "D) 14.0s to 17.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 4.4s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 7.0s to 10.8s", "B) 9.0s to 12.8s", "C) 8.0s to 11.8s", "D) 10.0s to 13.8s"], "answer": "C) 8.0s to 11.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 14.0s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 10.0s to 13.8s", "B) 9.0s to 12.8s", "C) 8.0s to 11.8s", "D) 7.0s to 10.8s"], "answer": "C) 8.0s to 11.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 4.0s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 13.6s to 17.0s", "B) 14.6s to 18.0s", "C) 12.6s to 16.0s", "D) 15.6s to 19.0s"], "answer": "A) 13.6s to 17.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 4.0s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 8.2s to 11.6s", "B) 9.2s to 12.6s", "C) 10.2s to 13.6s", "D) 7.2s to 10.6s"], "answer": "A) 8.2s to 11.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 13.6s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 8.2s to 11.6s", "B) 7.2s to 10.6s", "C) 9.2s to 12.6s", "D) 10.2s to 13.6s"], "answer": "A) 8.2s to 11.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 0.0s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 4.0s to 5.2s", "B) 6.0s to 7.2s", "C) 7.0s to 8.2s", "D) 5.0s to 6.2s"], "answer": "D) 5.0s to 6.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 1.0s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 16.8s to 18.0s", "B) 17.8s to 19.0s", "C) 15.8s to 17.0s", "D) 18.8s to 20.0s"], "answer": "A) 16.8s to 18.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 1.0s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 8.2s to 13.0s", "B) 7.2s to 12.0s", "C) 9.2s to 14.0s", "D) 6.2s to 11.0s"], "answer": "B) 7.2s to 12.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 16.8s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 8.2s to 13.0s", "B) 7.2s to 12.0s", "C) 9.2s to 14.0s", "D) 6.2s to 11.0s"], "answer": "B) 7.2s to 12.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 5.4s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 7.0s to 10.6s", "B) 5.0s to 8.6s", "C) 6.0s to 9.6s", "D) 4.0s to 7.6s"], "answer": "B) 5.0s to 8.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'oven and stove' is clearly visible from 15.0s to 15.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'oven and stove' in Video 2.", "options": ["A) 7.2s to 10.4s", "B) 4.2s to 7.4s", "C) 5.2s to 8.4s", "D) 6.2s to 9.4s"], "answer": "C) 5.2s to 8.4s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 14.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 13.0s to 17.4s", "B) 11.0s to 15.4s", "C) 14.0s to 18.4s", "D) 12.0s to 16.4s"], "answer": "D) 12.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 14.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 7.6s to 13.4s", "B) 5.6s to 11.4s", "C) 8.6s to 14.4s", "D) 6.6s to 12.4s"], "answer": "D) 6.6s to 12.4s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 12.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 6.6s to 12.4s", "B) 5.6s to 11.4s", "C) 8.6s to 14.4s", "D) 7.6s to 13.4s"], "answer": "A) 6.6s to 12.4s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 4.0s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 14.0s to 17.4s", "B) 12.0s to 15.4s", "C) 15.0s to 18.4s", "D) 13.0s to 16.4s"], "answer": "D) 13.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 4.0s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 5.6s to 9.2s", "B) 7.6s to 11.2s", "C) 6.6s to 10.2s", "D) 8.6s to 12.2s"], "answer": "C) 6.6s to 10.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 13.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 8.6s to 12.2s", "B) 6.6s to 10.2s", "C) 7.6s to 11.2s", "D) 5.6s to 9.2s"], "answer": "B) 6.6s to 10.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dishwasher' is clearly visible from 14.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'dishwasher' in Video 2.", "options": ["A) 8.6s to 9.8s", "B) 6.6s to 7.8s", "C) 5.6s to 6.8s", "D) 7.6s to 8.8s"], "answer": "B) 6.6s to 7.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 5.4s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 7.4s to 10.6s", "B) 5.4s to 8.6s", "C) 4.4s to 7.6s", "D) 6.4s to 9.6s"], "answer": "B) 5.4s to 8.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fan' is clearly visible from 4.6s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'fan' in Video 2.", "options": ["A) 11.8s to 15.6s", "B) 12.8s to 16.6s", "C) 13.8s to 17.6s", "D) 14.8s to 18.6s"], "answer": "B) 12.8s to 16.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fan' is clearly visible from 4.6s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'fan' in Video 2.", "options": ["A) 9.8s to 11.8s", "B) 10.8s to 12.8s", "C) 7.8s to 9.8s", "D) 8.8s to 10.8s"], "answer": "D) 8.8s to 10.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fan' is clearly visible from 12.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'fan' in Video 2.", "options": ["A) 9.8s to 11.8s", "B) 7.8s to 9.8s", "C) 8.8s to 10.8s", "D) 10.8s to 12.8s"], "answer": "C) 8.8s to 10.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 13.8s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 16.6s to 18.8s", "B) 15.6s to 17.8s", "C) 14.6s to 16.8s", "D) 17.6s to 19.8s"], "answer": "B) 15.6s to 17.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 2.6s to 4.2s", "B) 3.6s to 5.2s", "C) 5.6s to 7.2s", "D) 4.6s to 6.2s"], "answer": "B) 3.6s to 5.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.6s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 3.6s to 5.2s", "B) 5.6s to 7.2s", "C) 4.6s to 6.2s", "D) 2.6s to 4.2s"], "answer": "A) 3.6s to 5.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 13.8s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 16.4s to 19.0s", "B) 14.4s to 17.0s", "C) 17.4s to 20.0s", "D) 15.4s to 18.0s"], "answer": "D) 15.4s to 18.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 13.8s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.0s to 13.2s", "B) 6.0s to 11.2s", "C) 9.0s to 14.2s", "D) 7.0s to 12.2s"], "answer": "D) 7.0s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.4s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 9.0s to 14.2s", "B) 6.0s to 11.2s", "C) 8.0s to 13.2s", "D) 7.0s to 12.2s"], "answer": "D) 7.0s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.2s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 16.0s to 17.2s", "B) 17.0s to 18.2s", "C) 18.0s to 19.2s", "D) 19.0s to 20.2s"], "answer": "B) 17.0s to 18.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.2s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 5.6s to 6.8s", "B) 4.6s to 5.8s", "C) 2.6s to 3.8s", "D) 3.6s to 4.8s"], "answer": "D) 3.6s to 4.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 17.0s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 4.6s to 5.8s", "B) 3.6s to 4.8s", "C) 2.6s to 3.8s", "D) 5.6s to 6.8s"], "answer": "B) 3.6s to 4.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bench' is clearly visible from 1.0s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bench' in Video 2.", "options": ["A) 6.2s to 11.0s", "B) 9.2s to 14.0s", "C) 7.2s to 12.0s", "D) 8.2s to 13.0s"], "answer": "C) 7.2s to 12.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 13.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 18.0s to 19.8s", "B) 17.0s to 18.8s", "C) 15.0s to 16.8s", "D) 16.0s to 17.8s"], "answer": "D) 16.0s to 17.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 13.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 4.6s to 6.2s", "B) 2.6s to 4.2s", "C) 3.6s to 5.2s", "D) 5.6s to 7.2s"], "answer": "C) 3.6s to 5.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 16.0s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 4.6s to 6.2s", "B) 2.6s to 4.2s", "C) 5.6s to 7.2s", "D) 3.6s to 5.2s"], "answer": "D) 3.6s to 5.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 14.4s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 5.0s to 5.8s", "B) 4.0s to 4.8s", "C) 3.0s to 3.8s", "D) 6.0s to 6.8s"], "answer": "B) 4.0s to 4.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 2.8s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 15.0s to 18.4s", "B) 12.0s to 15.4s", "C) 13.0s to 16.4s", "D) 14.0s to 17.4s"], "answer": "C) 13.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 2.8s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 7.0s to 12.2s", "B) 9.0s to 14.2s", "C) 8.0s to 13.2s", "D) 6.0s to 11.2s"], "answer": "A) 7.0s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 13.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 9.0s to 14.2s", "B) 8.0s to 13.2s", "C) 6.0s to 11.2s", "D) 7.0s to 12.2s"], "answer": "D) 7.0s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 15.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 14.0s to 18.2s", "B) 13.0s to 17.2s", "C) 12.0s to 16.2s", "D) 11.0s to 15.2s"], "answer": "C) 12.0s to 16.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 15.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 6.2s to 10.2s", "B) 9.2s to 13.2s", "C) 8.2s to 12.2s", "D) 7.2s to 11.2s"], "answer": "D) 7.2s to 11.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 12.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 9.2s to 13.2s", "B) 7.2s to 11.2s", "C) 6.2s to 10.2s", "D) 8.2s to 12.2s"], "answer": "B) 7.2s to 11.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 15.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 9.2s to 10.2s", "B) 12.2s to 13.2s", "C) 10.2s to 11.2s", "D) 11.2s to 12.2s"], "answer": "C) 10.2s to 11.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 8.0s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 11.4s to 13.8s", "B) 10.4s to 12.8s", "C) 9.4s to 11.8s", "D) 12.4s to 14.8s"], "answer": "B) 10.4s to 12.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 11.6s to 13.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 9.4s to 11.8s", "B) 10.4s to 12.8s", "C) 11.4s to 13.8s", "D) 12.4s to 14.8s"], "answer": "B) 10.4s to 12.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 11.6s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 5.0s to 11.6s", "B) 6.0s to 12.6s", "C) 4.0s to 10.6s", "D) 7.0s to 13.6s"], "answer": "A) 5.0s to 11.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 11.6s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 12.2s to 13.4s", "B) 13.2s to 14.4s", "C) 14.2s to 15.4s", "D) 15.2s to 16.4s"], "answer": "B) 13.2s to 14.4s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 5.0s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 13.2s to 14.4s", "B) 12.2s to 13.4s", "C) 15.2s to 16.4s", "D) 14.2s to 15.4s"], "answer": "A) 13.2s to 14.4s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 10.0s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 9.4s to 14.2s", "B) 6.4s to 11.2s", "C) 7.4s to 12.2s", "D) 8.4s to 13.2s"], "answer": "C) 7.4s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 10.0s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.8s to 12.2s", "B) 12.8s to 14.2s", "C) 13.8s to 15.2s", "D) 11.8s to 13.2s"], "answer": "D) 11.8s to 13.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 7.4s to 12.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 12.8s to 14.2s", "B) 10.8s to 12.2s", "C) 11.8s to 13.2s", "D) 13.8s to 15.2s"], "answer": "C) 11.8s to 13.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 0.8s to 4.8s", "B) 1.8s to 5.8s", "C) 3.8s to 7.8s", "D) 2.8s to 6.8s"], "answer": "B) 1.8s to 5.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 18.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 3.0s to 8.8s", "B) 0.0s to 5.8s", "C) 2.0s to 7.8s", "D) 1.0s to 6.8s"], "answer": "B) 0.0s to 5.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 17.4s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 0.6s to 5.0s", "B) 1.6s to 6.0s", "C) 2.6s to 7.0s", "D) 3.6s to 8.0s"], "answer": "B) 1.6s to 6.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 17.4s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 12.8s to 13.6s", "B) 15.8s to 16.6s", "C) 14.8s to 15.6s", "D) 13.8s to 14.6s"], "answer": "D) 13.8s to 14.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 1.6s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 12.8s to 13.6s", "B) 14.8s to 15.6s", "C) 13.8s to 14.6s", "D) 15.8s to 16.6s"], "answer": "C) 13.8s to 14.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 14.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 2.2s to 3.6s", "B) 4.2s to 5.6s", "C) 1.2s to 2.6s", "D) 3.2s to 4.6s"], "answer": "A) 2.2s to 3.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 14.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 13.8s to 14.8s", "B) 12.8s to 13.8s", "C) 14.8s to 15.8s", "D) 15.8s to 16.8s"], "answer": "A) 13.8s to 14.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 2.2s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 15.8s to 16.8s", "B) 13.8s to 14.8s", "C) 14.8s to 15.8s", "D) 12.8s to 13.8s"], "answer": "B) 13.8s to 14.8s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 3.6s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 12.8s to 15.4s", "B) 15.8s to 18.4s", "C) 14.8s to 17.4s", "D) 13.8s to 16.4s"], "answer": "D) 13.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 3.6s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.2s to 12.2s", "B) 9.2s to 14.2s", "C) 8.2s to 13.2s", "D) 6.2s to 11.2s"], "answer": "A) 7.2s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 13.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.2s to 13.2s", "B) 7.2s to 12.2s", "C) 9.2s to 14.2s", "D) 6.2s to 11.2s"], "answer": "B) 7.2s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 14.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.8s to 12.2s", "B) 6.8s to 11.2s", "C) 8.8s to 13.2s", "D) 9.8s to 14.2s"], "answer": "A) 7.8s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 5.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 14.2s to 15.0s", "B) 13.2s to 14.0s", "C) 15.2s to 16.0s", "D) 12.2s to 13.0s"], "answer": "B) 13.2s to 14.0s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 5.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.2s to 12.2s", "B) 10.2s to 14.2s", "C) 7.2s to 11.2s", "D) 9.2s to 13.2s"], "answer": "A) 8.2s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 13.2s to 14.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.2s to 12.2s", "B) 10.2s to 14.2s", "C) 9.2s to 13.2s", "D) 7.2s to 11.2s"], "answer": "A) 8.2s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 14.8s to 15.6s", "B) 11.8s to 12.6s", "C) 13.8s to 14.6s", "D) 12.8s to 13.6s"], "answer": "D) 12.8s to 13.6s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.8s to 11.2s", "B) 8.8s to 12.2s", "C) 10.8s to 14.2s", "D) 9.8s to 13.2s"], "answer": "B) 8.8s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam0/cam0.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 12.8s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.8s to 12.2s", "B) 9.8s to 13.2s", "C) 10.8s to 14.2s", "D) 7.8s to 11.2s"], "answer": "A) 8.8s to 12.2s", "videos": ["dataset/habitat_data/general/val/Nfvxx8J5NCo/cam1/cam1.mp4", "dataset/habitat_data/general/val/Nfvxx8J5NCo/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 0.0s to 2.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.4s to 13.4s", "B) 9.4s to 12.4s", "C) 11.4s to 14.4s", "D) 8.4s to 11.4s"], "answer": "B) 9.4s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 0.0s to 2.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.4s to 13.6s", "B) 8.4s to 11.6s", "C) 9.4s to 12.6s", "D) 11.4s to 14.6s"], "answer": "C) 9.4s to 12.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 9.4s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 11.4s to 14.6s", "B) 9.4s to 12.6s", "C) 8.4s to 11.6s", "D) 10.4s to 13.6s"], "answer": "B) 9.4s to 12.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 13.2s to 14.4s", "B) 12.2s to 13.4s", "C) 10.2s to 11.4s", "D) 11.2s to 12.4s"], "answer": "D) 11.2s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 6.8s to 12.0s", "B) 5.8s to 11.0s", "C) 7.8s to 13.0s", "D) 8.8s to 14.0s"], "answer": "A) 6.8s to 12.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 11.2s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 7.8s to 13.0s", "B) 5.8s to 11.0s", "C) 8.8s to 14.0s", "D) 6.8s to 12.0s"], "answer": "D) 6.8s to 12.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 14.4s to 15.0s", "B) 13.4s to 14.0s", "C) 11.4s to 12.0s", "D) 12.4s to 13.0s"], "answer": "D) 12.4s to 13.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 2.6s to 9.0s", "B) 5.6s to 12.0s", "C) 4.6s to 11.0s", "D) 3.6s to 10.0s"], "answer": "D) 3.6s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 12.4s to 13.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 2.6s to 9.0s", "B) 3.6s to 10.0s", "C) 4.6s to 11.0s", "D) 5.6s to 12.0s"], "answer": "B) 3.6s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 5.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 11.2s to 13.4s", "B) 9.2s to 11.4s", "C) 10.2s to 12.4s", "D) 12.2s to 14.4s"], "answer": "C) 10.2s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 5.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.4s to 11.0s", "B) 8.4s to 12.0s", "C) 6.4s to 10.0s", "D) 9.4s to 13.0s"], "answer": "A) 7.4s to 11.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.2s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 6.4s to 10.0s", "B) 8.4s to 12.0s", "C) 7.4s to 11.0s", "D) 9.4s to 13.0s"], "answer": "C) 7.4s to 11.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 12.0s to 14.4s", "B) 9.0s to 11.4s", "C) 11.0s to 13.4s", "D) 10.0s to 12.4s"], "answer": "D) 10.0s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.2s to 11.6s", "B) 9.2s to 12.6s", "C) 10.2s to 13.6s", "D) 7.2s to 10.6s"], "answer": "A) 8.2s to 11.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.0s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 9.2s to 12.6s", "B) 7.2s to 10.6s", "C) 10.2s to 13.6s", "D) 8.2s to 11.6s"], "answer": "D) 8.2s to 11.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 3.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 11.0s to 13.4s", "B) 9.0s to 11.4s", "C) 12.0s to 14.4s", "D) 10.0s to 12.4s"], "answer": "D) 10.0s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 3.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.6s to 11.8s", "B) 9.6s to 12.8s", "C) 10.6s to 13.8s", "D) 7.6s to 10.8s"], "answer": "A) 8.6s to 11.8s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.0s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.6s to 11.8s", "B) 9.6s to 12.8s", "C) 7.6s to 10.8s", "D) 10.6s to 13.8s"], "answer": "A) 8.6s to 11.8s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 2.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 10.0s to 11.4s", "B) 11.0s to 12.4s", "C) 12.0s to 13.4s", "D) 9.0s to 10.4s"], "answer": "A) 10.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 2.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.0s to 11.0s", "B) 11.0s to 14.0s", "C) 9.0s to 12.0s", "D) 10.0s to 13.0s"], "answer": "C) 9.0s to 12.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 12.0s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.0s to 11.0s", "B) 11.0s to 14.0s", "C) 10.0s to 13.0s", "D) 9.0s to 12.0s"], "answer": "D) 9.0s to 12.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 2.4s to 5.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.2s to 10.8s", "B) 10.2s to 13.8s", "C) 8.2s to 11.8s", "D) 9.2s to 12.8s"], "answer": "C) 8.2s to 11.8s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 4.0s to 5.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 9.8s to 13.6s", "B) 6.8s to 10.6s", "C) 7.8s to 11.6s", "D) 8.8s to 12.6s"], "answer": "C) 7.8s to 11.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.4s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 6.2s to 10.4s", "B) 8.2s to 12.4s", "C) 9.2s to 13.4s", "D) 7.2s to 11.4s"], "answer": "D) 7.2s to 11.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 11.0s to 12.4s", "B) 12.0s to 13.4s", "C) 13.0s to 14.4s", "D) 10.0s to 11.4s"], "answer": "A) 11.0s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.0s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 5.4s to 9.0s", "B) 6.4s to 10.0s", "C) 8.4s to 12.0s", "D) 7.4s to 11.0s"], "answer": "B) 6.4s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.0s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 6.4s to 10.0s", "B) 7.4s to 11.0s", "C) 8.4s to 12.0s", "D) 5.4s to 9.0s"], "answer": "A) 6.4s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 0.0s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 10.0s to 12.4s", "B) 9.0s to 11.4s", "C) 11.0s to 13.4s", "D) 12.0s to 14.4s"], "answer": "A) 10.0s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 0.0s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 5.6s to 11.0s", "B) 6.6s to 12.0s", "C) 7.6s to 13.0s", "D) 8.6s to 14.0s"], "answer": "B) 6.6s to 12.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 10.0s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 8.6s to 14.0s", "B) 7.6s to 13.0s", "C) 5.6s to 11.0s", "D) 6.6s to 12.0s"], "answer": "D) 6.6s to 12.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bowl of sweets' is clearly visible from 0.0s to 5.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bowl of sweets' in Video 2.", "options": ["A) 11.2s to 12.2s", "B) 12.2s to 13.2s", "C) 10.2s to 11.2s", "D) 9.2s to 10.2s"], "answer": "C) 10.2s to 11.2s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bowl of sweets' is clearly visible from 0.0s to 5.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bowl of sweets' in Video 2.", "options": ["A) 6.8s to 10.6s", "B) 9.8s to 13.6s", "C) 8.8s to 12.6s", "D) 7.8s to 11.6s"], "answer": "D) 7.8s to 11.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bowl of sweets' is clearly visible from 10.2s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bowl of sweets' in Video 2.", "options": ["A) 9.8s to 13.6s", "B) 6.8s to 10.6s", "C) 7.8s to 11.6s", "D) 8.8s to 12.6s"], "answer": "C) 7.8s to 11.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 0.0s to 4.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 11.0s to 13.4s", "B) 10.0s to 12.4s", "C) 9.0s to 11.4s", "D) 12.0s to 14.4s"], "answer": "B) 10.0s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 0.0s to 4.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 8.2s to 12.6s", "B) 6.2s to 10.6s", "C) 9.2s to 13.6s", "D) 7.2s to 11.6s"], "answer": "D) 7.2s to 11.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 10.0s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 9.2s to 13.6s", "B) 7.2s to 11.6s", "C) 8.2s to 12.6s", "D) 6.2s to 10.6s"], "answer": "B) 7.2s to 11.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 0.0s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 13.6s to 14.4s", "B) 12.6s to 13.4s", "C) 11.6s to 12.4s", "D) 10.6s to 11.4s"], "answer": "C) 11.6s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 0.0s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 5.4s to 10.0s", "B) 7.4s to 12.0s", "C) 6.4s to 11.0s", "D) 4.4s to 9.0s"], "answer": "A) 5.4s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 11.6s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 6.4s to 11.0s", "B) 4.4s to 9.0s", "C) 5.4s to 10.0s", "D) 7.4s to 12.0s"], "answer": "C) 5.4s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 0.0s to 6.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 11.0s to 12.4s", "B) 10.0s to 11.4s", "C) 13.0s to 14.4s", "D) 12.0s to 13.4s"], "answer": "A) 11.0s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 0.0s to 6.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 3.4s to 8.6s", "B) 6.4s to 11.6s", "C) 5.4s to 10.6s", "D) 4.4s to 9.6s"], "answer": "D) 4.4s to 9.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 11.0s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 4.4s to 9.6s", "B) 6.4s to 11.6s", "C) 5.4s to 10.6s", "D) 3.4s to 8.6s"], "answer": "A) 4.4s to 9.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 0.0s to 7.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 13.6s to 14.4s", "B) 11.6s to 12.4s", "C) 12.6s to 13.4s", "D) 10.6s to 11.4s"], "answer": "B) 11.6s to 12.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 0.0s to 7.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 7.4s to 12.0s", "B) 5.4s to 10.0s", "C) 6.4s to 11.0s", "D) 4.4s to 9.0s"], "answer": "B) 5.4s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 11.6s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 6.4s to 11.0s", "B) 7.4s to 12.0s", "C) 5.4s to 10.0s", "D) 4.4s to 9.0s"], "answer": "C) 5.4s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 0.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 10.8s to 12.0s", "B) 11.8s to 13.0s", "C) 12.8s to 14.0s", "D) 13.8s to 15.0s"], "answer": "B) 11.8s to 13.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 0.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 2.6s to 9.0s", "B) 4.6s to 11.0s", "C) 5.6s to 12.0s", "D) 3.6s to 10.0s"], "answer": "D) 3.6s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 15.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 4.6s to 11.0s", "B) 3.6s to 10.0s", "C) 5.6s to 12.0s", "D) 2.6s to 9.0s"], "answer": "B) 3.6s to 10.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 3.8s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 5.2s to 9.2s", "B) 7.2s to 11.2s", "C) 4.2s to 8.2s", "D) 6.2s to 10.2s"], "answer": "A) 5.2s to 9.2s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 1.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 3.6s to 9.2s", "B) 4.6s to 10.2s", "C) 2.6s to 8.2s", "D) 5.6s to 11.2s"], "answer": "A) 3.6s to 9.2s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ottoman' is clearly visible from 6.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ottoman' in Video 2.", "options": ["A) 3.0s to 8.0s", "B) 5.0s to 10.0s", "C) 4.0s to 9.0s", "D) 6.0s to 11.0s"], "answer": "C) 4.0s to 9.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ottoman' is clearly visible from 6.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ottoman' in Video 2.", "options": ["A) 3.4s to 9.0s", "B) 4.4s to 10.0s", "C) 5.4s to 11.0s", "D) 2.4s to 8.0s"], "answer": "A) 3.4s to 9.0s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'floor lamp' is clearly visible from 2.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'floor lamp' in Video 2.", "options": ["A) 5.6s to 11.6s", "B) 3.6s to 9.6s", "C) 4.6s to 10.6s", "D) 2.6s to 8.6s"], "answer": "B) 3.6s to 9.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 4.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 15.8s to 17.2s", "B) 14.8s to 16.2s", "C) 16.8s to 18.2s", "D) 17.8s to 19.2s"], "answer": "A) 15.8s to 17.2s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 4.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 1.8s to 9.4s", "B) 0.8s to 8.4s", "C) 2.8s to 10.4s", "D) 3.8s to 11.4s"], "answer": "A) 1.8s to 9.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 15.8s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 0.8s to 8.4s", "B) 2.8s to 10.4s", "C) 1.8s to 9.4s", "D) 3.8s to 11.4s"], "answer": "C) 1.8s to 9.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv stand' is clearly visible from 3.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv stand' in Video 2.", "options": ["A) 15.0s to 16.2s", "B) 18.0s to 19.2s", "C) 17.0s to 18.2s", "D) 16.0s to 17.2s"], "answer": "D) 16.0s to 17.2s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv stand' is clearly visible from 3.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv stand' in Video 2.", "options": ["A) 2.4s to 10.4s", "B) 0.4s to 8.4s", "C) 3.4s to 11.4s", "D) 1.4s to 9.4s"], "answer": "D) 1.4s to 9.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv stand' is clearly visible from 16.0s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv stand' in Video 2.", "options": ["A) 0.4s to 8.4s", "B) 2.4s to 10.4s", "C) 1.4s to 9.4s", "D) 3.4s to 11.4s"], "answer": "C) 1.4s to 9.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'statue' is clearly visible from 4.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'statue' in Video 2.", "options": ["A) 3.0s to 5.4s", "B) 2.0s to 4.4s", "C) 4.0s to 6.4s", "D) 5.0s to 7.4s"], "answer": "A) 3.0s to 5.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 12.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 12.4s to 15.4s", "B) 14.4s to 17.4s", "C) 15.4s to 18.4s", "D) 13.4s to 16.4s"], "answer": "D) 13.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 12.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 2.8s to 6.4s", "B) 1.8s to 5.4s", "C) 3.8s to 7.4s", "D) 0.8s to 4.4s"], "answer": "D) 0.8s to 4.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 13.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 0.8s to 4.4s", "B) 1.8s to 5.4s", "C) 2.8s to 6.4s", "D) 3.8s to 7.4s"], "answer": "A) 0.8s to 4.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 15.0s to 16.8s", "B) 14.0s to 15.8s", "C) 17.0s to 18.8s", "D) 16.0s to 17.8s"], "answer": "A) 15.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 0.0s to 7.6s", "B) 3.0s to 10.6s", "C) 1.0s to 8.6s", "D) 2.0s to 9.6s"], "answer": "A) 0.0s to 7.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 15.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 1.0s to 8.6s", "B) 0.0s to 7.6s", "C) 2.0s to 9.6s", "D) 3.0s to 10.6s"], "answer": "B) 0.0s to 7.6s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 13.2s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.0s to 4.2s", "B) 2.0s to 3.2s", "C) 0.0s to 1.2s", "D) 1.0s to 2.2s"], "answer": "C) 0.0s to 1.2s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 16.0s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 17.4s to 18.4s", "B) 15.4s to 16.4s", "C) 16.4s to 17.4s", "D) 14.4s to 15.4s"], "answer": "B) 15.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/QaLdnwvtxbs/cam0/cam0.mp4", "dataset/habitat_data/general/val/QaLdnwvtxbs/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wardrobe' is clearly visible from 6.2s to 7.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'wardrobe' in Video 2.", "options": ["A) 14.0s to 15.8s", "B) 16.0s to 17.8s", "C) 13.0s to 14.8s", "D) 15.0s to 16.8s"], "answer": "A) 14.0s to 15.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 10.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 7.6s to 9.0s", "B) 9.6s to 11.0s", "C) 8.6s to 10.0s", "D) 10.6s to 12.0s"], "answer": "C) 8.6s to 10.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 0.4s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 14.8s to 18.6s", "B) 11.8s to 15.6s", "C) 12.8s to 16.6s", "D) 13.8s to 17.6s"], "answer": "C) 12.8s to 16.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 0.4s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 5.2s to 9.2s", "B) 8.2s to 12.2s", "C) 6.2s to 10.2s", "D) 7.2s to 11.2s"], "answer": "C) 6.2s to 10.2s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 12.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 5.2s to 9.2s", "B) 6.2s to 10.2s", "C) 7.2s to 11.2s", "D) 8.2s to 12.2s"], "answer": "B) 6.2s to 10.2s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 19.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 15.0s to 17.8s", "B) 13.0s to 15.8s", "C) 16.0s to 18.8s", "D) 14.0s to 16.8s"], "answer": "D) 14.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 19.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 6.8s to 8.0s", "B) 4.8s to 6.0s", "C) 7.8s to 9.0s", "D) 5.8s to 7.0s"], "answer": "D) 5.8s to 7.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 14.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 7.8s to 9.0s", "B) 6.8s to 8.0s", "C) 4.8s to 6.0s", "D) 5.8s to 7.0s"], "answer": "D) 5.8s to 7.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window curtain' is clearly visible from 0.0s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window curtain' in Video 2.", "options": ["A) 14.8s to 17.0s", "B) 15.8s to 18.0s", "C) 16.8s to 19.0s", "D) 13.8s to 16.0s"], "answer": "A) 14.8s to 17.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window curtain' is clearly visible from 0.0s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window curtain' in Video 2.", "options": ["A) 4.8s to 5.6s", "B) 7.8s to 8.6s", "C) 6.8s to 7.6s", "D) 5.8s to 6.6s"], "answer": "D) 5.8s to 6.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window curtain' is clearly visible from 14.8s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'window curtain' in Video 2.", "options": ["A) 6.8s to 7.6s", "B) 4.8s to 5.6s", "C) 7.8s to 8.6s", "D) 5.8s to 6.6s"], "answer": "D) 5.8s to 6.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'speaker' is clearly visible from 1.2s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'speaker' in Video 2.", "options": ["A) 13.4s to 16.4s", "B) 14.4s to 17.4s", "C) 12.4s to 15.4s", "D) 15.4s to 18.4s"], "answer": "A) 13.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'speaker' is clearly visible from 1.2s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'speaker' in Video 2.", "options": ["A) 7.4s to 12.0s", "B) 6.4s to 11.0s", "C) 9.4s to 14.0s", "D) 8.4s to 13.0s"], "answer": "A) 7.4s to 12.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'speaker' is clearly visible from 13.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'speaker' in Video 2.", "options": ["A) 9.4s to 14.0s", "B) 8.4s to 13.0s", "C) 7.4s to 12.0s", "D) 6.4s to 11.0s"], "answer": "C) 7.4s to 12.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 0.0s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 15.2s to 16.2s", "B) 18.2s to 19.2s", "C) 16.2s to 17.2s", "D) 17.2s to 18.2s"], "answer": "C) 16.2s to 17.2s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 0.0s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 4.4s to 5.6s", "B) 5.4s to 6.6s", "C) 7.4s to 8.6s", "D) 6.4s to 7.6s"], "answer": "B) 5.4s to 6.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 16.2s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 4.4s to 5.6s", "B) 6.4s to 7.6s", "C) 7.4s to 8.6s", "D) 5.4s to 6.6s"], "answer": "D) 5.4s to 6.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.4s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 16.6s to 17.6s", "B) 19.6s to 20.6s", "C) 18.6s to 19.6s", "D) 17.6s to 18.6s"], "answer": "D) 17.6s to 18.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.4s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 5.6s to 8.0s", "B) 3.6s to 6.0s", "C) 2.6s to 5.0s", "D) 4.6s to 7.0s"], "answer": "B) 3.6s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 17.6s to 18.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 4.6s to 7.0s", "B) 2.6s to 5.0s", "C) 5.6s to 8.0s", "D) 3.6s to 6.0s"], "answer": "D) 3.6s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 15.2s to 16.4s", "B) 17.2s to 18.4s", "C) 18.2s to 19.4s", "D) 16.2s to 17.4s"], "answer": "D) 16.2s to 17.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 19.2s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 6.6s to 7.6s", "B) 5.6s to 6.6s", "C) 7.6s to 8.6s", "D) 4.6s to 5.6s"], "answer": "B) 5.6s to 6.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 16.2s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 7.6s to 8.6s", "B) 5.6s to 6.6s", "C) 6.6s to 7.6s", "D) 4.6s to 5.6s"], "answer": "B) 5.6s to 6.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 15.2s to 16.6s", "B) 16.2s to 17.6s", "C) 17.2s to 18.6s", "D) 18.2s to 19.6s"], "answer": "B) 16.2s to 17.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.0s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 5.2s to 6.4s", "B) 4.2s to 5.4s", "C) 7.2s to 8.4s", "D) 6.2s to 7.4s"], "answer": "A) 5.2s to 6.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 16.2s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 6.2s to 7.4s", "B) 7.2s to 8.4s", "C) 5.2s to 6.4s", "D) 4.2s to 5.4s"], "answer": "C) 5.2s to 6.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 19.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 19.2s to 20.2s", "B) 17.2s to 18.2s", "C) 16.2s to 17.2s", "D) 18.2s to 19.2s"], "answer": "B) 17.2s to 18.2s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 19.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 5.0s to 7.2s", "B) 3.0s to 5.2s", "C) 6.0s to 8.2s", "D) 4.0s to 6.2s"], "answer": "D) 4.0s to 6.2s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 17.2s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 5.0s to 7.2s", "B) 6.0s to 8.2s", "C) 4.0s to 6.2s", "D) 3.0s to 5.2s"], "answer": "C) 4.0s to 6.2s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'led tv' is clearly visible from 19.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'led tv' in Video 2.", "options": ["A) 4.4s to 6.4s", "B) 5.4s to 7.4s", "C) 3.4s to 5.4s", "D) 6.4s to 8.4s"], "answer": "A) 4.4s to 6.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 19.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 18.4s to 20.0s", "B) 17.4s to 19.0s", "C) 16.4s to 18.0s", "D) 15.4s to 17.0s"], "answer": "C) 16.4s to 18.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 0.0s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 3.2s to 5.4s", "B) 5.2s to 7.4s", "C) 6.2s to 8.4s", "D) 4.2s to 6.4s"], "answer": "D) 4.2s to 6.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 16.4s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 5.2s to 7.4s", "B) 3.2s to 5.4s", "C) 4.2s to 6.4s", "D) 6.2s to 8.4s"], "answer": "C) 4.2s to 6.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chandelier' is clearly visible from 19.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chandelier' in Video 2.", "options": ["A) 6.2s to 7.0s", "B) 7.2s to 8.0s", "C) 5.2s to 6.0s", "D) 4.2s to 5.0s"], "answer": "C) 5.2s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 19.2s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 14.4s to 16.4s", "B) 16.4s to 18.4s", "C) 15.4s to 17.4s", "D) 17.4s to 19.4s"], "answer": "C) 15.4s to 17.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 19.2s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 4.0s to 5.6s", "B) 7.0s to 8.6s", "C) 5.0s to 6.6s", "D) 6.0s to 7.6s"], "answer": "C) 5.0s to 6.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 15.4s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 5.0s to 6.6s", "B) 4.0s to 5.6s", "C) 6.0s to 7.6s", "D) 7.0s to 8.6s"], "answer": "A) 5.0s to 6.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 2.8s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 20.0s to 21.2s", "B) 17.0s to 18.2s", "C) 18.0s to 19.2s", "D) 19.0s to 20.2s"], "answer": "C) 18.0s to 19.2s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 2.8s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 5.0s to 8.0s", "B) 3.0s to 6.0s", "C) 4.0s to 7.0s", "D) 2.0s to 5.0s"], "answer": "B) 3.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 18.0s to 19.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 3.0s to 6.0s", "B) 5.0s to 8.0s", "C) 2.0s to 5.0s", "D) 4.0s to 7.0s"], "answer": "A) 3.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 2.4s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 6.0s to 8.0s", "B) 3.0s to 5.0s", "C) 5.0s to 7.0s", "D) 4.0s to 6.0s"], "answer": "D) 4.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'floor mat' is clearly visible from 1.8s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'floor mat' in Video 2.", "options": ["A) 16.4s to 17.8s", "B) 15.4s to 16.8s", "C) 17.4s to 18.8s", "D) 18.4s to 19.8s"], "answer": "A) 16.4s to 17.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'floor mat' is clearly visible from 1.8s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'floor mat' in Video 2.", "options": ["A) 4.8s to 6.2s", "B) 5.8s to 7.2s", "C) 3.8s to 5.2s", "D) 6.8s to 8.2s"], "answer": "A) 4.8s to 6.2s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'floor mat' is clearly visible from 16.4s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'floor mat' in Video 2.", "options": ["A) 5.8s to 7.2s", "B) 3.8s to 5.2s", "C) 4.8s to 6.2s", "D) 6.8s to 8.2s"], "answer": "C) 4.8s to 6.2s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'floor mat' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'floor mat' in Video 2.", "options": ["A) 3.2s to 6.8s", "B) 1.2s to 4.8s", "C) 4.2s to 7.8s", "D) 2.2s to 5.8s"], "answer": "D) 2.2s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 4.4s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 0.0s to 4.4s", "B) 2.0s to 6.4s", "C) 3.0s to 7.4s", "D) 1.0s to 5.4s"], "answer": "D) 1.0s to 5.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 4.8s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 3.0s to 7.4s", "B) 0.0s to 4.4s", "C) 1.0s to 5.4s", "D) 2.0s to 6.4s"], "answer": "C) 1.0s to 5.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 5.6s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 2.0s to 6.4s", "B) 3.0s to 7.4s", "C) 1.0s to 5.4s", "D) 0.0s to 4.4s"], "answer": "C) 1.0s to 5.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 5.6s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 0.0s to 4.4s", "B) 3.0s to 7.4s", "C) 1.0s to 5.4s", "D) 2.0s to 6.4s"], "answer": "C) 1.0s to 5.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 5.0s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 2.2s to 5.4s", "B) 1.2s to 4.4s", "C) 4.2s to 7.4s", "D) 3.2s to 6.4s"], "answer": "A) 2.2s to 5.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'refrigerator' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'refrigerator' in Video 2.", "options": ["A) 3.0s to 8.4s", "B) 0.0s to 5.4s", "C) 2.0s to 7.4s", "D) 1.0s to 6.4s"], "answer": "B) 0.0s to 5.4s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 7.2s to 9.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 19.0s to 19.8s", "B) 20.0s to 20.8s", "C) 18.0s to 18.8s", "D) 21.0s to 21.8s"], "answer": "A) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 7.2s to 9.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 0.0s to 5.8s", "B) 2.0s to 7.8s", "C) 3.0s to 8.8s", "D) 1.0s to 6.8s"], "answer": "A) 0.0s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 3.0s to 8.8s", "B) 0.0s to 5.8s", "C) 1.0s to 6.8s", "D) 2.0s to 7.8s"], "answer": "B) 0.0s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 5.8s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 0.6s to 4.8s", "B) 3.6s to 7.8s", "C) 1.6s to 5.8s", "D) 2.6s to 6.8s"], "answer": "C) 1.6s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 1.6s to 5.8s", "B) 0.6s to 4.8s", "C) 3.6s to 7.8s", "D) 2.6s to 6.8s"], "answer": "A) 1.6s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'worktop' is clearly visible from 4.2s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'worktop' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 18.8s to 19.8s", "C) 20.8s to 21.8s", "D) 17.8s to 18.8s"], "answer": "B) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'worktop' is clearly visible from 4.2s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'worktop' in Video 2.", "options": ["A) 0.0s to 5.0s", "B) 2.0s to 7.0s", "C) 3.0s to 8.0s", "D) 1.0s to 6.0s"], "answer": "D) 1.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'worktop' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'worktop' in Video 2.", "options": ["A) 3.0s to 8.0s", "B) 2.0s to 7.0s", "C) 0.0s to 5.0s", "D) 1.0s to 6.0s"], "answer": "D) 1.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 5.8s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 20.8s to 21.8s", "C) 17.8s to 18.8s", "D) 18.8s to 19.8s"], "answer": "D) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 5.8s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 0.4s to 4.8s", "B) 3.4s to 7.8s", "C) 2.4s to 6.8s", "D) 1.4s to 5.8s"], "answer": "D) 1.4s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 1.4s to 5.8s", "B) 2.4s to 6.8s", "C) 0.4s to 4.8s", "D) 3.4s to 7.8s"], "answer": "A) 1.4s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 4.4s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 21.0s to 21.8s", "B) 18.0s to 18.8s", "C) 20.0s to 20.8s", "D) 19.0s to 19.8s"], "answer": "D) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 4.4s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 4.0s to 8.0s", "B) 1.0s to 5.0s", "C) 3.0s to 7.0s", "D) 2.0s to 6.0s"], "answer": "D) 2.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 3.0s to 7.0s", "B) 4.0s to 8.0s", "C) 2.0s to 6.0s", "D) 1.0s to 5.0s"], "answer": "C) 2.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'microwave' is clearly visible from 4.6s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'microwave' in Video 2.", "options": ["A) 3.4s to 6.8s", "B) 1.4s to 4.8s", "C) 2.4s to 5.8s", "D) 4.4s to 7.8s"], "answer": "C) 2.4s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'oven and stove' is clearly visible from 4.6s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'oven and stove' in Video 2.", "options": ["A) 19.6s to 20.8s", "B) 18.6s to 19.8s", "C) 17.6s to 18.8s", "D) 20.6s to 21.8s"], "answer": "B) 18.6s to 19.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'oven and stove' is clearly visible from 4.6s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'oven and stove' in Video 2.", "options": ["A) 1.2s to 4.8s", "B) 3.2s to 6.8s", "C) 4.2s to 7.8s", "D) 2.2s to 5.8s"], "answer": "D) 2.2s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'oven and stove' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'oven and stove' in Video 2.", "options": ["A) 3.2s to 6.8s", "B) 1.2s to 4.8s", "C) 4.2s to 7.8s", "D) 2.2s to 5.8s"], "answer": "D) 2.2s to 5.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 4.2s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 20.8s to 21.8s", "B) 18.8s to 19.8s", "C) 19.8s to 20.8s", "D) 17.8s to 18.8s"], "answer": "B) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 4.2s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 1.0s to 6.0s", "B) 2.0s to 7.0s", "C) 0.0s to 5.0s", "D) 3.0s to 8.0s"], "answer": "A) 1.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam0/cam0.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 1.0s to 6.0s", "B) 3.0s to 8.0s", "C) 0.0s to 5.0s", "D) 2.0s to 7.0s"], "answer": "A) 1.0s to 6.0s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dishwasher' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'dishwasher' in Video 2.", "options": ["A) 0.0s to 4.6s", "B) 2.0s to 6.6s", "C) 1.0s to 5.6s", "D) 3.0s to 7.6s"], "answer": "C) 1.0s to 5.6s", "videos": ["dataset/habitat_data/general/val/TEEsavR23oF/cam1/cam1.mp4", "dataset/habitat_data/general/val/TEEsavR23oF/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling fan' is clearly visible from 7.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling fan' in Video 2.", "options": ["A) 17.4s to 18.2s", "B) 14.4s to 15.2s", "C) 16.4s to 17.2s", "D) 15.4s to 16.2s"], "answer": "D) 15.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling fan' is clearly visible from 7.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling fan' in Video 2.", "options": ["A) 3.0s to 4.0s", "B) 2.0s to 3.0s", "C) 1.0s to 2.0s", "D) 0.0s to 1.0s"], "answer": "D) 0.0s to 1.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling fan' is clearly visible from 15.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling fan' in Video 2.", "options": ["A) 2.0s to 3.0s", "B) 1.0s to 2.0s", "C) 0.0s to 1.0s", "D) 3.0s to 4.0s"], "answer": "C) 0.0s to 1.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling fan' is clearly visible from 10.4s to 12.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling fan' in Video 2.", "options": ["A) 10.6s to 14.2s", "B) 11.6s to 15.2s", "C) 12.6s to 16.2s", "D) 9.6s to 13.2s"], "answer": "A) 10.6s to 14.2s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa chair' is clearly visible from 4.8s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa chair' in Video 2.", "options": ["A) 11.0s to 16.6s", "B) 10.0s to 15.6s", "C) 12.0s to 17.6s", "D) 13.0s to 18.6s"], "answer": "A) 11.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 14.4s to 15.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 0.0s to 2.6s", "B) 2.0s to 4.6s", "C) 3.0s to 5.6s", "D) 1.0s to 3.6s"], "answer": "A) 0.0s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 7.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 14.0s to 18.0s", "B) 13.0s to 17.0s", "C) 12.0s to 16.0s", "D) 15.0s to 19.0s"], "answer": "B) 13.0s to 17.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 7.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 1.0s to 3.6s", "B) 3.0s to 5.6s", "C) 0.0s to 2.6s", "D) 2.0s to 4.6s"], "answer": "C) 0.0s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 13.0s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 0.0s to 2.6s", "B) 2.0s to 4.6s", "C) 3.0s to 5.6s", "D) 1.0s to 3.6s"], "answer": "A) 0.0s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 5.2s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 10.4s to 11.4s", "B) 13.4s to 14.4s", "C) 11.4s to 12.4s", "D) 12.4s to 13.4s"], "answer": "C) 11.4s to 12.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'folding chair' is clearly visible from 6.6s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'folding chair' in Video 2.", "options": ["A) 9.6s to 16.6s", "B) 10.6s to 17.6s", "C) 8.6s to 15.6s", "D) 11.6s to 18.6s"], "answer": "A) 9.6s to 16.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'display cabinet' is clearly visible from 6.4s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'display cabinet' in Video 2.", "options": ["A) 11.0s to 14.6s", "B) 10.0s to 13.6s", "C) 12.0s to 15.6s", "D) 9.0s to 12.6s"], "answer": "B) 10.0s to 13.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'telephone' is clearly visible from 14.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'telephone' in Video 2.", "options": ["A) 0.0s to 2.6s", "B) 3.0s to 5.6s", "C) 2.0s to 4.6s", "D) 1.0s to 3.6s"], "answer": "A) 0.0s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed stand' is clearly visible from 7.2s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed stand' in Video 2.", "options": ["A) 0.0s to 3.8s", "B) 2.0s to 5.8s", "C) 1.0s to 4.8s", "D) 3.0s to 6.8s"], "answer": "A) 0.0s to 3.8s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 2.2s to 7.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 15.4s to 18.4s", "B) 14.4s to 17.4s", "C) 13.4s to 16.4s", "D) 12.4s to 15.4s"], "answer": "C) 13.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 4.4s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 16.0s to 17.4s", "B) 15.0s to 16.4s", "C) 14.0s to 15.4s", "D) 17.0s to 18.4s"], "answer": "B) 15.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 7.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 17.6s to 18.4s", "B) 16.6s to 17.4s", "C) 15.6s to 16.4s", "D) 14.6s to 15.4s"], "answer": "C) 15.6s to 16.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 7.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 1.0s to 3.6s", "B) 3.0s to 5.6s", "C) 0.0s to 2.6s", "D) 2.0s to 4.6s"], "answer": "C) 0.0s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 15.6s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 1.0s to 3.6s", "B) 3.0s to 5.6s", "C) 2.0s to 4.6s", "D) 0.0s to 2.6s"], "answer": "D) 0.0s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk chair' is clearly visible from 7.6s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk chair' in Video 2.", "options": ["A) 15.8s to 17.4s", "B) 13.8s to 15.4s", "C) 16.8s to 18.4s", "D) 14.8s to 16.4s"], "answer": "D) 14.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk chair' is clearly visible from 7.6s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk chair' in Video 2.", "options": ["A) 2.0s to 5.0s", "B) 0.0s to 3.0s", "C) 1.0s to 4.0s", "D) 3.0s to 6.0s"], "answer": "B) 0.0s to 3.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk chair' is clearly visible from 14.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk chair' in Video 2.", "options": ["A) 0.0s to 3.0s", "B) 1.0s to 4.0s", "C) 2.0s to 5.0s", "D) 3.0s to 6.0s"], "answer": "A) 0.0s to 3.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall cabinet' is clearly visible from 14.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall cabinet' in Video 2.", "options": ["A) 3.0s to 5.8s", "B) 0.0s to 2.8s", "C) 2.0s to 4.8s", "D) 1.0s to 3.8s"], "answer": "B) 0.0s to 2.8s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa chair' is clearly visible from 7.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa chair' in Video 2.", "options": ["A) 14.2s to 18.0s", "B) 12.2s to 16.0s", "C) 13.2s to 17.0s", "D) 15.2s to 19.0s"], "answer": "C) 13.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa chair' is clearly visible from 7.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa chair' in Video 2.", "options": ["A) 0.8s to 2.6s", "B) 2.8s to 4.6s", "C) 3.8s to 5.6s", "D) 1.8s to 3.6s"], "answer": "A) 0.8s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa chair' is clearly visible from 13.2s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa chair' in Video 2.", "options": ["A) 1.8s to 3.6s", "B) 2.8s to 4.6s", "C) 3.8s to 5.6s", "D) 0.8s to 2.6s"], "answer": "D) 0.8s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 11.6s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 11.4s to 12.4s", "B) 12.4s to 13.4s", "C) 14.4s to 15.4s", "D) 13.4s to 14.4s"], "answer": "B) 12.4s to 13.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 11.6s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 1.8s to 2.6s", "B) 3.8s to 4.6s", "C) 2.8s to 3.6s", "D) 0.8s to 1.6s"], "answer": "A) 1.8s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 15.8s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 2.8s to 3.6s", "B) 0.8s to 1.6s", "C) 1.8s to 2.6s", "D) 3.8s to 4.6s"], "answer": "C) 1.8s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 15.8s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 10.2s to 13.6s", "B) 12.2s to 15.6s", "C) 13.2s to 16.6s", "D) 11.2s to 14.6s"], "answer": "D) 11.2s to 14.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 15.8s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 8.4s to 13.4s", "B) 6.4s to 11.4s", "C) 7.4s to 12.4s", "D) 9.4s to 14.4s"], "answer": "C) 7.4s to 12.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 11.2s to 14.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 9.4s to 14.4s", "B) 8.4s to 13.4s", "C) 6.4s to 11.4s", "D) 7.4s to 12.4s"], "answer": "D) 7.4s to 12.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling fan' is clearly visible from 10.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling fan' in Video 2.", "options": ["A) 13.4s to 16.8s", "B) 12.4s to 15.8s", "C) 10.4s to 13.8s", "D) 11.4s to 14.8s"], "answer": "D) 11.4s to 14.8s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 0.0s to 8.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 0.0s to 1.0s", "B) 2.0s to 3.0s", "C) 3.0s to 4.0s", "D) 1.0s to 2.0s"], "answer": "A) 0.0s to 1.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'antique clock' is clearly visible from 11.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'antique clock' in Video 2.", "options": ["A) 1.8s to 3.6s", "B) 0.8s to 2.6s", "C) 3.8s to 5.6s", "D) 2.8s to 4.6s"], "answer": "B) 0.8s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'piano bench' is clearly visible from 9.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'piano bench' in Video 2.", "options": ["A) 13.6s to 16.2s", "B) 12.6s to 15.2s", "C) 14.6s to 17.2s", "D) 11.6s to 14.2s"], "answer": "B) 12.6s to 15.2s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'piano bench' is clearly visible from 9.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'piano bench' in Video 2.", "options": ["A) 2.0s to 3.6s", "B) 0.0s to 1.6s", "C) 3.0s to 4.6s", "D) 1.0s to 2.6s"], "answer": "D) 1.0s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'piano bench' is clearly visible from 12.6s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'piano bench' in Video 2.", "options": ["A) 0.0s to 1.6s", "B) 1.0s to 2.6s", "C) 2.0s to 3.6s", "D) 3.0s to 4.6s"], "answer": "B) 1.0s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'piano' is clearly visible from 9.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'piano' in Video 2.", "options": ["A) 12.8s to 13.4s", "B) 13.8s to 14.4s", "C) 14.8s to 15.4s", "D) 11.8s to 12.4s"], "answer": "A) 12.8s to 13.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'piano' is clearly visible from 9.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'piano' in Video 2.", "options": ["A) 2.8s to 4.6s", "B) 3.8s to 5.6s", "C) 1.8s to 3.6s", "D) 0.8s to 2.6s"], "answer": "D) 0.8s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'piano' is clearly visible from 15.8s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'piano' in Video 2.", "options": ["A) 0.8s to 2.6s", "B) 3.8s to 5.6s", "C) 2.8s to 4.6s", "D) 1.8s to 3.6s"], "answer": "A) 0.8s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table cloth' is clearly visible from 11.6s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table cloth' in Video 2.", "options": ["A) 14.4s to 15.2s", "B) 12.4s to 13.2s", "C) 13.4s to 14.2s", "D) 11.4s to 12.2s"], "answer": "B) 12.4s to 13.2s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table cloth' is clearly visible from 11.6s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table cloth' in Video 2.", "options": ["A) 0.8s to 1.6s", "B) 3.8s to 4.6s", "C) 1.8s to 2.6s", "D) 2.8s to 3.6s"], "answer": "C) 1.8s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table cloth' is clearly visible from 12.4s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table cloth' in Video 2.", "options": ["A) 0.8s to 1.6s", "B) 1.8s to 2.6s", "C) 3.8s to 4.6s", "D) 2.8s to 3.6s"], "answer": "B) 1.8s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table stand' is clearly visible from 11.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table stand' in Video 2.", "options": ["A) 13.4s to 14.4s", "B) 11.4s to 12.4s", "C) 12.4s to 13.4s", "D) 14.4s to 15.4s"], "answer": "C) 12.4s to 13.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table stand' is clearly visible from 11.2s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table stand' in Video 2.", "options": ["A) 2.4s to 3.6s", "B) 3.4s to 4.6s", "C) 1.4s to 2.6s", "D) 0.4s to 1.6s"], "answer": "C) 1.4s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table stand' is clearly visible from 15.4s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table stand' in Video 2.", "options": ["A) 2.4s to 3.6s", "B) 0.4s to 1.6s", "C) 3.4s to 4.6s", "D) 1.4s to 2.6s"], "answer": "D) 1.4s to 2.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 1.2s to 5.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 15.2s to 17.6s", "B) 16.2s to 18.6s", "C) 13.2s to 15.6s", "D) 14.2s to 16.6s"], "answer": "D) 14.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table stand' is clearly visible from 15.2s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table stand' in Video 2.", "options": ["A) 11.2s to 14.4s", "B) 13.2s to 16.4s", "C) 10.2s to 13.4s", "D) 12.2s to 15.4s"], "answer": "A) 11.2s to 14.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'case' is clearly visible from 16.2s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'case' in Video 2.", "options": ["A) 10.0s to 13.2s", "B) 12.0s to 15.2s", "C) 11.0s to 14.2s", "D) 13.0s to 16.2s"], "answer": "C) 11.0s to 14.2s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'case' is clearly visible from 16.2s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'case' in Video 2.", "options": ["A) 6.8s to 12.4s", "B) 8.8s to 14.4s", "C) 7.8s to 13.4s", "D) 5.8s to 11.4s"], "answer": "A) 6.8s to 12.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'case' is clearly visible from 11.0s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'case' in Video 2.", "options": ["A) 5.8s to 11.4s", "B) 7.8s to 13.4s", "C) 6.8s to 12.4s", "D) 8.8s to 14.4s"], "answer": "C) 6.8s to 12.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'case' is clearly visible from 16.4s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'case' in Video 2.", "options": ["A) 10.0s to 13.6s", "B) 13.0s to 16.6s", "C) 12.0s to 15.6s", "D) 11.0s to 14.6s"], "answer": "D) 11.0s to 14.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'case' is clearly visible from 16.4s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'case' in Video 2.", "options": ["A) 8.6s to 14.4s", "B) 5.6s to 11.4s", "C) 6.6s to 12.4s", "D) 7.6s to 13.4s"], "answer": "C) 6.6s to 12.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'case' is clearly visible from 11.0s to 14.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'case' in Video 2.", "options": ["A) 5.6s to 11.4s", "B) 6.6s to 12.4s", "C) 7.6s to 13.4s", "D) 8.6s to 14.4s"], "answer": "B) 6.6s to 12.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 17.2s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 11.4s to 14.8s", "B) 12.4s to 15.8s", "C) 10.4s to 13.8s", "D) 9.4s to 12.8s"], "answer": "C) 10.4s to 13.8s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 17.2s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 8.0s to 11.4s", "B) 6.0s to 9.4s", "C) 7.0s to 10.4s", "D) 5.0s to 8.4s"], "answer": "B) 6.0s to 9.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 10.4s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 5.0s to 8.4s", "B) 7.0s to 10.4s", "C) 8.0s to 11.4s", "D) 6.0s to 9.4s"], "answer": "D) 6.0s to 9.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 11.8s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 10.4s to 15.6s", "B) 12.4s to 17.6s", "C) 13.4s to 18.6s", "D) 11.4s to 16.6s"], "answer": "D) 11.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 12.0s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 10.4s to 15.8s", "B) 12.4s to 17.8s", "C) 11.4s to 16.8s", "D) 13.4s to 18.8s"], "answer": "C) 11.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 12.6s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 12.6s to 17.8s", "B) 13.6s to 18.8s", "C) 10.6s to 15.8s", "D) 11.6s to 16.8s"], "answer": "D) 11.6s to 16.8s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 2.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 0.0s to 6.4s", "B) 3.0s to 9.4s", "C) 1.0s to 7.4s", "D) 2.0s to 8.4s"], "answer": "A) 0.0s to 6.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 14.2s to 15.2s", "B) 12.2s to 13.2s", "C) 11.2s to 12.2s", "D) 13.2s to 14.2s"], "answer": "B) 12.2s to 13.2s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 16.8s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 11.6s to 15.2s", "B) 12.6s to 16.2s", "C) 9.6s to 13.2s", "D) 10.6s to 14.2s"], "answer": "D) 10.6s to 14.2s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 16.8s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 4.6s to 12.0s", "B) 6.6s to 14.0s", "C) 7.6s to 15.0s", "D) 5.6s to 13.0s"], "answer": "D) 5.6s to 13.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 10.6s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 6.6s to 14.0s", "B) 7.6s to 15.0s", "C) 4.6s to 12.0s", "D) 5.6s to 13.0s"], "answer": "D) 5.6s to 13.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 16.6s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.8s to 16.2s", "B) 9.8s to 13.2s", "C) 10.8s to 14.2s", "D) 11.8s to 15.2s"], "answer": "C) 10.8s to 14.2s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 16.6s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 6.6s to 14.4s", "B) 4.6s to 12.4s", "C) 5.6s to 13.4s", "D) 7.6s to 15.4s"], "answer": "C) 5.6s to 13.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 10.8s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 7.6s to 15.4s", "B) 6.6s to 14.4s", "C) 5.6s to 13.4s", "D) 4.6s to 12.4s"], "answer": "C) 5.6s to 13.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 12.8s to 15.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 12.2s to 14.0s", "B) 13.2s to 15.0s", "C) 10.2s to 12.0s", "D) 11.2s to 13.0s"], "answer": "D) 11.2s to 13.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 7.8s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 7.8s to 16.4s", "B) 6.8s to 15.4s", "C) 8.8s to 17.4s", "D) 9.8s to 18.4s"], "answer": "A) 7.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'telephone' is clearly visible from 10.4s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'telephone' in Video 2.", "options": ["A) 10.8s to 13.6s", "B) 7.8s to 10.6s", "C) 9.8s to 12.6s", "D) 8.8s to 11.6s"], "answer": "D) 8.8s to 11.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 6.8s to 9.0s", "B) 7.8s to 10.0s", "C) 9.8s to 12.0s", "D) 8.8s to 11.0s"], "answer": "B) 7.8s to 10.0s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 9.2s to 18.4s", "B) 7.2s to 16.4s", "C) 8.2s to 17.4s", "D) 6.2s to 15.4s"], "answer": "B) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam0/cam0.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 7.8s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 8.2s to 17.4s", "B) 9.2s to 18.4s", "C) 6.2s to 15.4s", "D) 7.2s to 16.4s"], "answer": "D) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 12.0s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 10.2s to 18.4s", "B) 9.2s to 17.4s", "C) 7.2s to 15.4s", "D) 8.2s to 16.4s"], "answer": "D) 8.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling fixture' is clearly visible from 10.6s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling fixture' in Video 2.", "options": ["A) 4.6s to 12.8s", "B) 3.6s to 11.8s", "C) 5.6s to 13.8s", "D) 2.6s to 10.8s"], "answer": "B) 3.6s to 11.8s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 9.8s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 7.0s to 12.4s", "B) 8.0s to 13.4s", "C) 6.0s to 11.4s", "D) 5.0s to 10.4s"], "answer": "C) 6.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'microwave' is clearly visible from 9.8s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'microwave' in Video 2.", "options": ["A) 7.0s to 12.4s", "B) 5.0s to 10.4s", "C) 6.0s to 11.4s", "D) 8.0s to 13.4s"], "answer": "C) 6.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'oven' is clearly visible from 10.0s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'oven' in Video 2.", "options": ["A) 6.0s to 11.4s", "B) 8.0s to 13.4s", "C) 7.0s to 12.4s", "D) 5.0s to 10.4s"], "answer": "A) 6.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bowl of fruit' is clearly visible from 8.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bowl of fruit' in Video 2.", "options": ["A) 10.6s to 12.4s", "B) 9.6s to 11.4s", "C) 11.6s to 13.4s", "D) 8.6s to 10.4s"], "answer": "B) 9.6s to 11.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bowl of fruit' is clearly visible from 8.2s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bowl of fruit' in Video 2.", "options": ["A) 10.2s to 12.4s", "B) 9.2s to 11.4s", "C) 11.2s to 13.4s", "D) 8.2s to 10.4s"], "answer": "B) 9.2s to 11.4s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.2s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.6s to 10.6s", "B) 9.6s to 11.6s", "C) 10.6s to 12.6s", "D) 11.6s to 13.6s"], "answer": "B) 9.6s to 11.6s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 7.8s to 12.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 9.0s to 12.8s", "B) 10.0s to 13.8s", "C) 7.0s to 10.8s", "D) 8.0s to 11.8s"], "answer": "D) 8.0s to 11.8s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 8.2s to 12.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 7.0s to 10.8s", "B) 10.0s to 13.8s", "C) 9.0s to 12.8s", "D) 8.0s to 11.8s"], "answer": "D) 8.0s to 11.8s", "videos": ["dataset/habitat_data/general/val/VBzV5z6i1WS/cam1/cam1.mp4", "dataset/habitat_data/general/val/VBzV5z6i1WS/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chandelier' is clearly visible from 1.8s to 2.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chandelier' in Video 2.", "options": ["A) 16.2s to 18.6s", "B) 15.2s to 17.6s", "C) 13.2s to 15.6s", "D) 14.2s to 16.6s"], "answer": "D) 14.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 0.0s to 2.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 14.0s to 16.6s", "B) 16.0s to 18.6s", "C) 13.0s to 15.6s", "D) 15.0s to 17.6s"], "answer": "A) 14.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 2.2s to 3.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 15.8s to 18.2s", "B) 18.8s to 21.2s", "C) 17.8s to 20.2s", "D) 16.8s to 19.2s"], "answer": "D) 16.8s to 19.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 5.4s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 9.6s to 11.2s", "B) 12.6s to 14.2s", "C) 11.6s to 13.2s", "D) 10.6s to 12.2s"], "answer": "D) 10.6s to 12.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 5.4s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.2s to 12.4s", "B) 11.2s to 13.4s", "C) 12.2s to 14.4s", "D) 13.2s to 15.4s"], "answer": "B) 11.2s to 13.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 10.6s to 12.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.2s to 12.4s", "B) 12.2s to 14.4s", "C) 11.2s to 13.4s", "D) 13.2s to 15.4s"], "answer": "C) 11.2s to 13.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 7.0s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 10.8s to 12.8s", "B) 8.8s to 10.8s", "C) 9.8s to 11.8s", "D) 7.8s to 9.8s"], "answer": "B) 8.8s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 7.0s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 8.0s to 10.0s", "B) 11.0s to 13.0s", "C) 10.0s to 12.0s", "D) 9.0s to 11.0s"], "answer": "D) 9.0s to 11.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 8.8s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 9.0s to 11.0s", "B) 11.0s to 13.0s", "C) 10.0s to 12.0s", "D) 8.0s to 10.0s"], "answer": "A) 9.0s to 11.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall clock' is clearly visible from 7.8s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall clock' in Video 2.", "options": ["A) 8.8s to 10.4s", "B) 9.8s to 11.4s", "C) 10.8s to 12.4s", "D) 7.8s to 9.4s"], "answer": "A) 8.8s to 10.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall clock' is clearly visible from 7.8s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall clock' in Video 2.", "options": ["A) 10.0s to 11.8s", "B) 9.0s to 10.8s", "C) 8.0s to 9.8s", "D) 11.0s to 12.8s"], "answer": "B) 9.0s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall clock' is clearly visible from 8.8s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall clock' in Video 2.", "options": ["A) 10.0s to 11.8s", "B) 11.0s to 12.8s", "C) 9.0s to 10.8s", "D) 8.0s to 9.8s"], "answer": "C) 9.0s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 7.2s to 8.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 8.6s to 9.8s", "B) 10.6s to 11.8s", "C) 9.6s to 10.8s", "D) 11.6s to 12.8s"], "answer": "C) 9.6s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 7.2s to 8.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.0s to 11.2s", "B) 11.0s to 12.2s", "C) 12.0s to 13.2s", "D) 9.0s to 10.2s"], "answer": "A) 10.0s to 11.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 9.6s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 12.0s to 13.2s", "B) 10.0s to 11.2s", "C) 11.0s to 12.2s", "D) 9.0s to 10.2s"], "answer": "B) 10.0s to 11.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 8.4s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.6s to 12.0s", "B) 8.6s to 10.0s", "C) 9.6s to 11.0s", "D) 7.6s to 9.0s"], "answer": "B) 8.6s to 10.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 8.4s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 8.6s to 10.2s", "B) 9.6s to 11.2s", "C) 10.6s to 12.2s", "D) 7.6s to 9.2s"], "answer": "A) 8.6s to 10.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 8.6s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 10.6s to 12.2s", "B) 8.6s to 10.2s", "C) 9.6s to 11.2s", "D) 7.6s to 9.2s"], "answer": "B) 8.6s to 10.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'coffee table' is clearly visible from 7.0s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'coffee table' in Video 2.", "options": ["A) 12.0s to 12.8s", "B) 10.0s to 10.8s", "C) 11.0s to 11.8s", "D) 9.0s to 9.8s"], "answer": "B) 10.0s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'coffee table' is clearly visible from 7.0s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'coffee table' in Video 2.", "options": ["A) 11.2s to 12.2s", "B) 12.2s to 13.2s", "C) 10.2s to 11.2s", "D) 9.2s to 10.2s"], "answer": "C) 10.2s to 11.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'coffee table' is clearly visible from 10.0s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'coffee table' in Video 2.", "options": ["A) 9.2s to 10.2s", "B) 10.2s to 11.2s", "C) 12.2s to 13.2s", "D) 11.2s to 12.2s"], "answer": "B) 10.2s to 11.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 7.4s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 8.4s to 9.6s", "B) 10.4s to 11.6s", "C) 9.4s to 10.6s", "D) 11.4s to 12.6s"], "answer": "C) 9.4s to 10.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 7.4s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 11.6s to 13.0s", "B) 9.6s to 11.0s", "C) 10.6s to 12.0s", "D) 8.6s to 10.0s"], "answer": "B) 9.6s to 11.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 9.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 10.6s to 12.0s", "B) 11.6s to 13.0s", "C) 9.6s to 11.0s", "D) 8.6s to 10.0s"], "answer": "C) 9.6s to 11.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 7.0s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 9.6s to 10.8s", "B) 11.6s to 12.8s", "C) 8.6s to 9.8s", "D) 10.6s to 11.8s"], "answer": "A) 9.6s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 7.0s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 10.6s to 12.2s", "B) 11.6s to 13.2s", "C) 9.6s to 11.2s", "D) 8.6s to 10.2s"], "answer": "C) 9.6s to 11.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 9.6s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 11.6s to 13.2s", "B) 9.6s to 11.2s", "C) 10.6s to 12.2s", "D) 8.6s to 10.2s"], "answer": "B) 9.6s to 11.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 7.0s to 8.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 12.0s to 12.8s", "B) 9.0s to 9.8s", "C) 10.0s to 10.8s", "D) 11.0s to 11.8s"], "answer": "C) 10.0s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 7.4s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 11.4s to 12.6s", "B) 10.4s to 11.6s", "C) 8.4s to 9.6s", "D) 9.4s to 10.6s"], "answer": "D) 9.4s to 10.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 7.4s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 9.6s to 11.0s", "B) 11.6s to 13.0s", "C) 8.6s to 10.0s", "D) 10.6s to 12.0s"], "answer": "A) 9.6s to 11.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 9.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 11.6s to 13.0s", "B) 10.6s to 12.0s", "C) 8.6s to 10.0s", "D) 9.6s to 11.0s"], "answer": "D) 9.6s to 11.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 7.4s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 8.4s to 9.6s", "B) 9.4s to 10.6s", "C) 10.4s to 11.6s", "D) 11.4s to 12.6s"], "answer": "B) 9.4s to 10.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 7.4s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 8.6s to 10.0s", "B) 11.6s to 13.0s", "C) 10.6s to 12.0s", "D) 9.6s to 11.0s"], "answer": "D) 9.6s to 11.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 9.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 10.6s to 12.0s", "B) 11.6s to 13.0s", "C) 8.6s to 10.0s", "D) 9.6s to 11.0s"], "answer": "D) 9.6s to 11.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.8s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 10.8s to 12.4s", "B) 9.8s to 11.4s", "C) 8.8s to 10.4s", "D) 7.8s to 9.4s"], "answer": "C) 8.8s to 10.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.8s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 9.0s to 10.8s", "B) 11.0s to 12.8s", "C) 8.0s to 9.8s", "D) 10.0s to 11.8s"], "answer": "A) 9.0s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 8.8s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 11.0s to 12.8s", "B) 9.0s to 10.8s", "C) 10.0s to 11.8s", "D) 8.0s to 9.8s"], "answer": "B) 9.0s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 7.0s to 8.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 9.0s to 9.8s", "B) 11.0s to 11.8s", "C) 12.0s to 12.8s", "D) 10.0s to 10.8s"], "answer": "D) 10.0s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 7.8s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 8.8s to 10.4s", "B) 10.8s to 12.4s", "C) 7.8s to 9.4s", "D) 9.8s to 11.4s"], "answer": "A) 8.8s to 10.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 7.8s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 8.0s to 9.6s", "B) 10.0s to 11.6s", "C) 9.0s to 10.6s", "D) 11.0s to 12.6s"], "answer": "C) 9.0s to 10.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 8.8s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 8.0s to 9.6s", "B) 11.0s to 12.6s", "C) 9.0s to 10.6s", "D) 10.0s to 11.6s"], "answer": "C) 9.0s to 10.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 8.0s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.8s to 10.4s", "B) 10.8s to 12.4s", "C) 7.8s to 9.4s", "D) 9.8s to 11.4s"], "answer": "A) 8.8s to 10.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 8.0s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 10.0s to 11.6s", "B) 8.0s to 9.6s", "C) 9.0s to 10.6s", "D) 11.0s to 12.6s"], "answer": "C) 9.0s to 10.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 8.8s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 11.0s to 12.6s", "B) 9.0s to 10.6s", "C) 10.0s to 11.6s", "D) 8.0s to 9.6s"], "answer": "B) 9.0s to 10.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.8s to 9.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 11.2s to 12.4s", "B) 9.2s to 10.4s", "C) 8.2s to 9.4s", "D) 10.2s to 11.4s"], "answer": "B) 9.2s to 10.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.8s to 9.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 11.4s to 12.8s", "B) 10.4s to 11.8s", "C) 9.4s to 10.8s", "D) 8.4s to 9.8s"], "answer": "C) 9.4s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 9.2s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 9.4s to 10.8s", "B) 11.4s to 12.8s", "C) 10.4s to 11.8s", "D) 8.4s to 9.8s"], "answer": "A) 9.4s to 10.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 8.2s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 10.6s to 12.0s", "B) 7.6s to 9.0s", "C) 8.6s to 10.0s", "D) 9.6s to 11.0s"], "answer": "C) 8.6s to 10.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 8.2s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 7.8s to 9.4s", "B) 9.8s to 11.4s", "C) 8.8s to 10.4s", "D) 10.8s to 12.4s"], "answer": "C) 8.8s to 10.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 8.6s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 10.8s to 12.4s", "B) 7.8s to 9.4s", "C) 9.8s to 11.4s", "D) 8.8s to 10.4s"], "answer": "D) 8.8s to 10.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 9.2s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 8.2s to 9.0s", "B) 9.2s to 10.0s", "C) 7.2s to 8.0s", "D) 10.2s to 11.0s"], "answer": "A) 8.2s to 9.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 9.2s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 9.2s to 10.4s", "B) 10.2s to 11.4s", "C) 7.2s to 8.4s", "D) 8.2s to 9.4s"], "answer": "D) 8.2s to 9.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 8.2s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 7.2s to 8.4s", "B) 9.2s to 10.4s", "C) 8.2s to 9.4s", "D) 10.2s to 11.4s"], "answer": "C) 8.2s to 9.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 1.4s to 4.0s", "B) 3.4s to 6.0s", "C) 0.4s to 3.0s", "D) 2.4s to 5.0s"], "answer": "C) 0.4s to 3.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 0.2s to 2.8s", "B) 1.2s to 3.8s", "C) 2.2s to 4.8s", "D) 3.2s to 5.8s"], "answer": "A) 0.2s to 2.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 0.4s to 3.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 1.2s to 3.8s", "B) 2.2s to 4.8s", "C) 3.2s to 5.8s", "D) 0.2s to 2.8s"], "answer": "D) 0.2s to 2.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 2.6s to 5.4s", "B) 1.6s to 4.4s", "C) 3.6s to 6.4s", "D) 0.6s to 3.4s"], "answer": "D) 0.6s to 3.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 0.4s to 3.2s", "B) 3.4s to 6.2s", "C) 2.4s to 5.2s", "D) 1.4s to 4.2s"], "answer": "A) 0.4s to 3.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 0.6s to 3.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 0.4s to 3.2s", "B) 3.4s to 6.2s", "C) 2.4s to 5.2s", "D) 1.4s to 4.2s"], "answer": "A) 0.4s to 3.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 15.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.8s to 5.8s", "B) 4.8s to 6.8s", "C) 5.8s to 7.8s", "D) 2.8s to 4.8s"], "answer": "A) 3.8s to 5.8s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 15.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.4s to 5.6s", "B) 5.4s to 7.6s", "C) 4.4s to 6.6s", "D) 2.4s to 4.6s"], "answer": "A) 3.4s to 5.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 3.8s to 5.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 2.4s to 4.6s", "B) 4.4s to 6.6s", "C) 3.4s to 5.6s", "D) 5.4s to 7.6s"], "answer": "C) 3.4s to 5.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 3.8s to 4.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 2.4s to 3.4s", "B) 4.4s to 5.4s", "C) 3.4s to 4.4s", "D) 5.4s to 6.4s"], "answer": "C) 3.4s to 4.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dresser' is clearly visible from 15.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'dresser' in Video 2.", "options": ["A) 5.2s to 7.6s", "B) 3.2s to 5.6s", "C) 4.2s to 6.6s", "D) 2.2s to 4.6s"], "answer": "B) 3.2s to 5.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dresser' is clearly visible from 15.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'dresser' in Video 2.", "options": ["A) 4.6s to 7.4s", "B) 3.6s to 6.4s", "C) 1.6s to 4.4s", "D) 2.6s to 5.4s"], "answer": "D) 2.6s to 5.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dresser' is clearly visible from 3.2s to 5.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dresser' in Video 2.", "options": ["A) 3.6s to 6.4s", "B) 1.6s to 4.4s", "C) 4.6s to 7.4s", "D) 2.6s to 5.4s"], "answer": "D) 2.6s to 5.4s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'dresser' is clearly visible from 1.6s to 4.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'dresser' in Video 2.", "options": ["A) 0.8s to 4.2s", "B) 3.8s to 7.2s", "C) 1.8s to 5.2s", "D) 2.8s to 6.2s"], "answer": "A) 0.8s to 4.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'telephone' is clearly visible from 1.8s to 4.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'telephone' in Video 2.", "options": ["A) 0.2s to 3.2s", "B) 1.2s to 4.2s", "C) 2.2s to 5.2s", "D) 3.2s to 6.2s"], "answer": "B) 1.2s to 4.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 1.8s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 0.4s to 4.0s", "B) 1.4s to 5.0s", "C) 2.4s to 6.0s", "D) 3.4s to 7.0s"], "answer": "B) 1.4s to 5.0s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 17.4s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 3.0s to 3.6s", "B) 1.0s to 1.6s", "C) 0.0s to 0.6s", "D) 2.0s to 2.6s"], "answer": "C) 0.0s to 0.6s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 17.4s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.0s to 3.2s", "B) 3.0s to 4.2s", "C) 0.0s to 1.2s", "D) 1.0s to 2.2s"], "answer": "C) 0.0s to 1.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 1.2s to 1.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 0.0s to 1.2s", "B) 3.0s to 4.2s", "C) 1.0s to 2.2s", "D) 2.0s to 3.2s"], "answer": "A) 0.0s to 1.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'printer' is clearly visible from 18.6s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'printer' in Video 2.", "options": ["A) 1.0s to 2.2s", "B) 0.0s to 1.2s", "C) 3.0s to 4.2s", "D) 2.0s to 3.2s"], "answer": "B) 0.0s to 1.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'exercise bike' is clearly visible from 18.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'exercise bike' in Video 2.", "options": ["A) 2.2s to 4.2s", "B) 1.2s to 3.2s", "C) 3.2s to 5.2s", "D) 0.2s to 2.2s"], "answer": "B) 1.2s to 3.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'exercise bike' is clearly visible from 18.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'exercise bike' in Video 2.", "options": ["A) 1.4s to 4.2s", "B) 2.4s to 5.2s", "C) 0.4s to 3.2s", "D) 3.4s to 6.2s"], "answer": "C) 0.4s to 3.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam0/cam0.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'exercise bike' is clearly visible from 1.2s to 3.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'exercise bike' in Video 2.", "options": ["A) 0.4s to 3.2s", "B) 3.4s to 6.2s", "C) 1.4s to 4.2s", "D) 2.4s to 5.2s"], "answer": "A) 0.4s to 3.2s", "videos": ["dataset/habitat_data/general/val/XB4GS9ShBRE/cam1/cam1.mp4", "dataset/habitat_data/general/val/XB4GS9ShBRE/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 4.2s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 17.8s to 18.8s", "B) 18.8s to 19.8s", "C) 19.8s to 20.8s", "D) 20.8s to 21.8s"], "answer": "B) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/cvZr5TUy5C5/cam0/cam0.mp4", "dataset/habitat_data/general/val/cvZr5TUy5C5/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 0.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 1.0s to 9.6s", "B) 3.0s to 11.6s", "C) 2.0s to 10.6s", "D) 0.0s to 8.6s"], "answer": "D) 0.0s to 8.6s", "videos": ["dataset/habitat_data/general/val/eF36g7L6Z9M/cam0/cam0.mp4", "dataset/habitat_data/general/val/eF36g7L6Z9M/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 0.2s to 3.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 7.6s to 9.0s", "B) 8.6s to 10.0s", "C) 6.6s to 8.0s", "D) 5.6s to 7.0s"], "answer": "C) 6.6s to 8.0s", "videos": ["dataset/habitat_data/general/val/eF36g7L6Z9M/cam0/cam0.mp4", "dataset/habitat_data/general/val/eF36g7L6Z9M/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 0.8s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 0.0s to 8.0s", "B) 3.0s to 11.0s", "C) 1.0s to 9.0s", "D) 2.0s to 10.0s"], "answer": "A) 0.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/eF36g7L6Z9M/cam0/cam0.mp4", "dataset/habitat_data/general/val/eF36g7L6Z9M/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 1.6s to 3.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 18.0s to 19.4s", "B) 19.0s to 20.4s", "C) 17.0s to 18.4s", "D) 16.0s to 17.4s"], "answer": "C) 17.0s to 18.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'washing machine' is clearly visible from 1.8s to 2.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'washing machine' in Video 2.", "options": ["A) 16.0s to 17.4s", "B) 19.0s to 20.4s", "C) 18.0s to 19.4s", "D) 17.0s to 18.4s"], "answer": "D) 17.0s to 18.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 5.2s to 6.0s", "B) 3.2s to 4.0s", "C) 6.2s to 7.0s", "D) 4.2s to 5.0s"], "answer": "D) 4.2s to 5.0s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 5.8s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 8.8s to 11.6s", "B) 10.8s to 13.6s", "C) 9.8s to 12.6s", "D) 11.8s to 14.6s"], "answer": "C) 9.8s to 12.6s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 5.8s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 7.8s to 8.8s", "B) 4.8s to 5.8s", "C) 6.8s to 7.8s", "D) 5.8s to 6.8s"], "answer": "D) 5.8s to 6.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 9.8s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 5.8s to 6.8s", "B) 7.8s to 8.8s", "C) 4.8s to 5.8s", "D) 6.8s to 7.8s"], "answer": "A) 5.8s to 6.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 6.2s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 8.4s to 11.6s", "B) 10.4s to 13.6s", "C) 9.4s to 12.6s", "D) 11.4s to 14.6s"], "answer": "C) 9.4s to 12.6s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 6.2s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 4.2s to 5.8s", "B) 7.2s to 8.8s", "C) 6.2s to 7.8s", "D) 5.2s to 6.8s"], "answer": "D) 5.2s to 6.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 9.4s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 7.2s to 8.8s", "B) 4.2s to 5.8s", "C) 5.2s to 6.8s", "D) 6.2s to 7.8s"], "answer": "C) 5.2s to 6.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'ceiling lamp' is clearly visible from 4.6s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'ceiling lamp' in Video 2.", "options": ["A) 1.8s to 3.8s", "B) 3.8s to 5.8s", "C) 0.8s to 2.8s", "D) 2.8s to 4.8s"], "answer": "A) 1.8s to 3.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 14.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 0.8s to 6.6s", "B) 3.8s to 9.6s", "C) 2.8s to 8.6s", "D) 1.8s to 7.6s"], "answer": "D) 1.8s to 7.6s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 14.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 2.4s to 4.6s", "B) 0.4s to 2.6s", "C) 1.4s to 3.6s", "D) 3.4s to 5.6s"], "answer": "B) 0.4s to 2.6s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 1.8s to 7.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 0.4s to 2.6s", "B) 1.4s to 3.6s", "C) 2.4s to 4.6s", "D) 3.4s to 5.6s"], "answer": "A) 0.4s to 2.6s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.8s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.6s to 5.2s", "B) 4.6s to 6.2s", "C) 2.6s to 4.2s", "D) 1.6s to 3.2s"], "answer": "C) 2.6s to 4.2s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 4.0s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 1.2s to 4.4s", "B) 3.2s to 6.4s", "C) 2.2s to 5.4s", "D) 0.2s to 3.4s"], "answer": "A) 1.2s to 4.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bedside lamp' is clearly visible from 4.8s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'bedside lamp' in Video 2.", "options": ["A) 1.4s to 3.2s", "B) 2.4s to 4.2s", "C) 0.4s to 2.2s", "D) 3.4s to 5.2s"], "answer": "A) 1.4s to 3.2s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 15.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 0.6s to 1.8s", "B) 3.6s to 4.8s", "C) 2.6s to 3.8s", "D) 1.6s to 2.8s"], "answer": "A) 0.6s to 1.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 15.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 2.8s to 6.4s", "B) 3.8s to 7.4s", "C) 0.8s to 4.4s", "D) 1.8s to 5.4s"], "answer": "C) 0.8s to 4.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 0.6s to 1.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 1.8s to 5.4s", "B) 3.8s to 7.4s", "C) 0.8s to 4.4s", "D) 2.8s to 6.4s"], "answer": "C) 0.8s to 4.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 2.6s to 3.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 20.8s to 21.8s", "B) 17.8s to 18.8s", "C) 19.8s to 20.8s", "D) 18.8s to 19.8s"], "answer": "D) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 16.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 0.4s to 0.8s", "B) 1.4s to 1.8s", "C) 3.4s to 3.8s", "D) 2.4s to 2.8s"], "answer": "A) 0.4s to 0.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 16.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 1.0s to 4.4s", "B) 2.0s to 5.4s", "C) 3.0s to 6.4s", "D) 0.0s to 3.4s"], "answer": "A) 1.0s to 4.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.8s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 3.0s to 6.4s", "B) 0.0s to 3.4s", "C) 1.0s to 4.4s", "D) 2.0s to 5.4s"], "answer": "C) 1.0s to 4.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 2.8s to 3.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 20.0s to 20.8s", "B) 19.0s to 19.8s", "C) 21.0s to 21.8s", "D) 18.0s to 18.8s"], "answer": "B) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 3.0s to 4.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 20.6s to 21.8s", "B) 19.6s to 20.8s", "C) 18.6s to 19.8s", "D) 17.6s to 18.8s"], "answer": "C) 18.6s to 19.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 3.0s to 4.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 10.4s to 11.4s", "B) 7.4s to 8.4s", "C) 8.4s to 9.4s", "D) 9.4s to 10.4s"], "answer": "C) 8.4s to 9.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 10.4s to 11.4s", "B) 9.4s to 10.4s", "C) 7.4s to 8.4s", "D) 8.4s to 9.4s"], "answer": "D) 8.4s to 9.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 2.6s to 3.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 18.6s to 19.8s", "B) 19.6s to 20.8s", "C) 20.6s to 21.8s", "D) 17.6s to 18.8s"], "answer": "A) 18.6s to 19.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 2.6s to 3.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 18.8s to 19.8s", "C) 20.8s to 21.8s", "D) 17.8s to 18.8s"], "answer": "B) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'grill' is clearly visible from 2.6s to 3.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'grill' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 18.8s to 19.8s", "C) 17.8s to 18.8s", "D) 20.8s to 21.8s"], "answer": "B) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 2.6s to 3.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 20.0s to 20.8s", "B) 21.0s to 21.8s", "C) 19.0s to 19.8s", "D) 18.0s to 18.8s"], "answer": "C) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam0/cam0.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall lamp' is clearly visible from 6.4s to 8.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall lamp' in Video 2.", "options": ["A) 2.2s to 3.4s", "B) 4.2s to 5.4s", "C) 3.2s to 4.4s", "D) 5.2s to 6.4s"], "answer": "C) 3.2s to 4.4s", "videos": ["dataset/habitat_data/general/val/mL8ThkuaVTM/cam1/cam1.mp4", "dataset/habitat_data/general/val/mL8ThkuaVTM/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 17.0s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 13.2s to 14.4s", "B) 12.2s to 13.4s", "C) 11.2s to 12.4s", "D) 10.2s to 11.4s"], "answer": "C) 11.2s to 12.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 17.0s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 0.0s to 8.2s", "B) 1.0s to 9.2s", "C) 2.0s to 10.2s", "D) 3.0s to 11.2s"], "answer": "A) 0.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'carpet' is clearly visible from 11.2s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'carpet' in Video 2.", "options": ["A) 1.0s to 9.2s", "B) 2.0s to 10.2s", "C) 3.0s to 11.2s", "D) 0.0s to 8.2s"], "answer": "D) 0.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'furnace' is clearly visible from 16.4s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'furnace' in Video 2.", "options": ["A) 14.4s to 18.8s", "B) 12.4s to 16.8s", "C) 11.4s to 15.8s", "D) 13.4s to 17.8s"], "answer": "B) 12.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'furnace' is clearly visible from 12.2s to 13.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'furnace' in Video 2.", "options": ["A) 0.0s to 3.4s", "B) 3.0s to 6.4s", "C) 1.0s to 4.4s", "D) 2.0s to 5.4s"], "answer": "A) 0.0s to 3.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'furnace' is clearly visible from 12.4s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'furnace' in Video 2.", "options": ["A) 1.0s to 4.4s", "B) 2.0s to 5.4s", "C) 3.0s to 6.4s", "D) 0.0s to 3.4s"], "answer": "D) 0.0s to 3.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 10.0s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 12.0s to 15.6s", "B) 13.0s to 16.6s", "C) 14.0s to 17.6s", "D) 15.0s to 18.6s"], "answer": "B) 13.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 10.0s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 1.0s to 2.4s", "B) 2.0s to 3.4s", "C) 4.0s to 5.4s", "D) 3.0s to 4.4s"], "answer": "B) 2.0s to 3.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 13.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 4.0s to 5.4s", "B) 3.0s to 4.4s", "C) 1.0s to 2.4s", "D) 2.0s to 3.4s"], "answer": "D) 2.0s to 3.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fan' is clearly visible from 18.0s to 19.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'fan' in Video 2.", "options": ["A) 8.0s to 12.0s", "B) 9.0s to 13.0s", "C) 11.0s to 15.0s", "D) 10.0s to 14.0s"], "answer": "B) 9.0s to 13.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 17.0s to 18.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 9.8s to 15.0s", "B) 10.8s to 16.0s", "C) 8.8s to 14.0s", "D) 11.8s to 17.0s"], "answer": "A) 9.8s to 15.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 17.0s to 18.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 1.0s to 12.4s", "B) 2.0s to 13.4s", "C) 3.0s to 14.4s", "D) 0.0s to 11.4s"], "answer": "D) 0.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 9.8s to 15.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 3.0s to 14.4s", "B) 0.0s to 11.4s", "C) 2.0s to 13.4s", "D) 1.0s to 12.4s"], "answer": "B) 0.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 17.8s to 19.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 9.2s to 13.2s", "B) 8.2s to 12.2s", "C) 10.2s to 14.2s", "D) 11.2s to 15.2s"], "answer": "A) 9.2s to 13.2s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 17.8s to 19.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 2.0s to 3.0s", "B) 3.0s to 4.0s", "C) 1.0s to 2.0s", "D) 0.0s to 1.0s"], "answer": "D) 0.0s to 1.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 9.2s to 13.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 2.0s to 3.0s", "B) 1.0s to 2.0s", "C) 0.0s to 1.0s", "D) 3.0s to 4.0s"], "answer": "C) 0.0s to 1.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 11.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 2.0s to 5.4s", "B) 0.0s to 3.4s", "C) 3.0s to 6.4s", "D) 1.0s to 4.4s"], "answer": "B) 0.0s to 3.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 16.6s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 11.0s to 15.8s", "B) 13.0s to 17.8s", "C) 14.0s to 18.8s", "D) 12.0s to 16.8s"], "answer": "D) 12.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 10.0s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 13.0s to 16.6s", "B) 15.0s to 18.6s", "C) 12.0s to 15.6s", "D) 14.0s to 17.6s"], "answer": "A) 13.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 10.0s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 3.4s to 4.4s", "B) 4.4s to 5.4s", "C) 1.4s to 2.4s", "D) 2.4s to 3.4s"], "answer": "D) 2.4s to 3.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf' is clearly visible from 13.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf' in Video 2.", "options": ["A) 4.4s to 5.4s", "B) 1.4s to 2.4s", "C) 3.4s to 4.4s", "D) 2.4s to 3.4s"], "answer": "D) 2.4s to 3.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 16.8s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 13.6s to 17.0s", "B) 10.6s to 14.0s", "C) 11.6s to 15.0s", "D) 12.6s to 16.0s"], "answer": "C) 11.6s to 15.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 16.8s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 3.0s to 11.0s", "B) 2.0s to 10.0s", "C) 1.0s to 9.0s", "D) 0.0s to 8.0s"], "answer": "D) 0.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 11.6s to 15.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 2.0s to 10.0s", "B) 3.0s to 11.0s", "C) 1.0s to 9.0s", "D) 0.0s to 8.0s"], "answer": "D) 0.0s to 8.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 16.6s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 10.8s to 14.8s", "B) 13.8s to 17.8s", "C) 11.8s to 15.8s", "D) 12.8s to 16.8s"], "answer": "C) 11.8s to 15.8s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 16.6s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 2.0s to 10.2s", "B) 0.0s to 8.2s", "C) 1.0s to 9.2s", "D) 3.0s to 11.2s"], "answer": "B) 0.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 11.8s to 15.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 0.0s to 8.2s", "B) 2.0s to 10.2s", "C) 3.0s to 11.2s", "D) 1.0s to 9.2s"], "answer": "A) 0.0s to 8.2s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 16.8s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 12.4s to 16.0s", "B) 11.4s to 15.0s", "C) 13.4s to 17.0s", "D) 10.4s to 14.0s"], "answer": "B) 11.4s to 15.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 16.8s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 0.0s to 5.6s", "B) 2.0s to 7.6s", "C) 3.0s to 8.6s", "D) 1.0s to 6.6s"], "answer": "A) 0.0s to 5.6s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 11.4s to 15.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 3.0s to 8.6s", "B) 1.0s to 6.6s", "C) 0.0s to 5.6s", "D) 2.0s to 7.6s"], "answer": "C) 0.0s to 5.6s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 16.8s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 12.6s to 16.4s", "B) 13.6s to 17.4s", "C) 11.6s to 15.4s", "D) 10.6s to 14.4s"], "answer": "C) 11.6s to 15.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 16.8s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 1.0s to 2.0s", "B) 3.0s to 4.0s", "C) 0.0s to 1.0s", "D) 2.0s to 3.0s"], "answer": "C) 0.0s to 1.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 11.6s to 15.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 1.0s to 2.0s", "B) 2.0s to 3.0s", "C) 0.0s to 1.0s", "D) 3.0s to 4.0s"], "answer": "C) 0.0s to 1.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 12.0s to 14.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 15.0s to 18.6s", "B) 12.0s to 15.6s", "C) 14.0s to 17.6s", "D) 13.0s to 16.6s"], "answer": "D) 13.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 12.0s to 14.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 1.6s to 10.4s", "B) 3.6s to 12.4s", "C) 4.6s to 13.4s", "D) 2.6s to 11.4s"], "answer": "D) 2.6s to 11.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 13.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 4.6s to 13.4s", "B) 3.6s to 12.4s", "C) 2.6s to 11.4s", "D) 1.6s to 10.4s"], "answer": "C) 2.6s to 11.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 11.8s to 14.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 15.0s to 18.6s", "B) 14.0s to 17.6s", "C) 13.0s to 16.6s", "D) 12.0s to 15.6s"], "answer": "C) 13.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 16.2s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 5.0s to 13.4s", "B) 4.0s to 12.4s", "C) 2.0s to 10.4s", "D) 3.0s to 11.4s"], "answer": "D) 3.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table lamp' is clearly visible from 13.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table lamp' in Video 2.", "options": ["A) 2.0s to 10.4s", "B) 3.0s to 11.4s", "C) 5.0s to 13.4s", "D) 4.0s to 12.4s"], "answer": "B) 3.0s to 11.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 12.2s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 11.6s to 16.8s", "B) 12.6s to 17.8s", "C) 13.6s to 18.8s", "D) 10.6s to 15.8s"], "answer": "A) 11.6s to 16.8s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 12.2s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 3.0s to 4.0s", "B) 1.0s to 2.0s", "C) 0.0s to 1.0s", "D) 2.0s to 3.0s"], "answer": "C) 0.0s to 1.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 11.6s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 2.0s to 3.0s", "B) 1.0s to 2.0s", "C) 0.0s to 1.0s", "D) 3.0s to 4.0s"], "answer": "C) 0.0s to 1.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 10.0s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 15.2s to 18.6s", "B) 14.2s to 17.6s", "C) 13.2s to 16.6s", "D) 12.2s to 15.6s"], "answer": "C) 13.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 16.2s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 12.0s to 15.6s", "B) 15.0s to 18.6s", "C) 14.0s to 17.6s", "D) 13.0s to 16.6s"], "answer": "D) 13.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 16.2s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 1.0s to 2.4s", "B) 2.0s to 3.4s", "C) 4.0s to 5.4s", "D) 3.0s to 4.4s"], "answer": "B) 2.0s to 3.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 13.0s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 4.0s to 5.4s", "B) 3.0s to 4.4s", "C) 2.0s to 3.4s", "D) 1.0s to 2.4s"], "answer": "C) 2.0s to 3.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 16.8s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 11.2s to 15.0s", "B) 10.2s to 14.0s", "C) 12.2s to 16.0s", "D) 13.2s to 17.0s"], "answer": "A) 11.2s to 15.0s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 17.4s to 18.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 11.0s to 13.4s", "B) 12.0s to 14.4s", "C) 13.0s to 15.4s", "D) 10.0s to 12.4s"], "answer": "A) 11.0s to 13.4s", "videos": ["dataset/habitat_data/general/val/mv2HUxq3B53/cam0/cam0.mp4", "dataset/habitat_data/general/val/mv2HUxq3B53/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 6.2s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 14.4s to 15.8s", "B) 15.4s to 16.8s", "C) 16.4s to 17.8s", "D) 17.4s to 18.8s"], "answer": "B) 15.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'oven and stove' is clearly visible from 14.2s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'oven and stove' in Video 2.", "options": ["A) 20.6s to 21.4s", "B) 18.6s to 19.4s", "C) 17.6s to 18.4s", "D) 19.6s to 20.4s"], "answer": "B) 18.6s to 19.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 15.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 18.0s to 18.8s", "B) 21.0s to 21.8s", "C) 19.0s to 19.8s", "D) 20.0s to 20.8s"], "answer": "C) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 15.8s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 19.6s to 20.4s", "B) 20.6s to 21.4s", "C) 18.6s to 19.4s", "D) 17.6s to 18.4s"], "answer": "C) 18.6s to 19.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 17.6s to 18.4s", "B) 19.6s to 20.4s", "C) 18.6s to 19.4s", "D) 20.6s to 21.4s"], "answer": "C) 18.6s to 19.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'trashcan' is clearly visible from 17.0s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'trashcan' in Video 2.", "options": ["A) 15.8s to 17.0s", "B) 17.8s to 19.0s", "C) 14.8s to 16.0s", "D) 16.8s to 18.0s"], "answer": "A) 15.8s to 17.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'trashcan' is clearly visible from 17.0s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'trashcan' in Video 2.", "options": ["A) 15.8s to 17.0s", "B) 16.8s to 18.0s", "C) 14.8s to 16.0s", "D) 17.8s to 19.0s"], "answer": "A) 15.8s to 17.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 17.4s to 18.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 16.4s to 18.8s", "B) 15.4s to 17.8s", "C) 18.4s to 20.8s", "D) 17.4s to 19.8s"], "answer": "A) 16.4s to 18.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 17.4s to 18.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 17.4s to 19.0s", "B) 18.4s to 20.0s", "C) 16.4s to 18.0s", "D) 19.4s to 21.0s"], "answer": "A) 17.4s to 19.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 16.4s to 18.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 17.4s to 19.0s", "B) 19.4s to 21.0s", "C) 16.4s to 18.0s", "D) 18.4s to 20.0s"], "answer": "A) 17.4s to 19.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 17.2s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 18.4s to 19.6s", "B) 17.4s to 18.6s", "C) 16.4s to 17.6s", "D) 15.4s to 16.6s"], "answer": "C) 16.4s to 17.6s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 17.2s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 16.4s to 17.8s", "B) 17.4s to 18.8s", "C) 18.4s to 19.8s", "D) 19.4s to 20.8s"], "answer": "B) 17.4s to 18.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 16.4s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 18.4s to 19.8s", "B) 19.4s to 20.8s", "C) 17.4s to 18.8s", "D) 16.4s to 17.8s"], "answer": "C) 17.4s to 18.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 17.2s to 18.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 15.2s to 16.8s", "B) 17.2s to 18.8s", "C) 18.2s to 19.8s", "D) 16.2s to 17.8s"], "answer": "D) 16.2s to 17.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 17.2s to 18.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 18.4s to 20.0s", "B) 17.4s to 19.0s", "C) 19.4s to 21.0s", "D) 16.4s to 18.0s"], "answer": "B) 17.4s to 19.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 16.2s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 18.4s to 20.0s", "B) 16.4s to 18.0s", "C) 19.4s to 21.0s", "D) 17.4s to 19.0s"], "answer": "D) 17.4s to 19.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 18.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 19.4s to 20.8s", "B) 20.4s to 21.8s", "C) 18.4s to 19.8s", "D) 17.4s to 18.8s"], "answer": "C) 18.4s to 19.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 12.2s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 18.0s to 18.8s", "B) 21.0s to 21.8s", "C) 19.0s to 19.8s", "D) 20.0s to 20.8s"], "answer": "C) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 16.2s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 19.4s to 20.4s", "B) 17.4s to 18.4s", "C) 20.4s to 21.4s", "D) 18.4s to 19.4s"], "answer": "D) 18.4s to 19.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 17.4s to 18.4s", "B) 19.4s to 20.4s", "C) 18.4s to 19.4s", "D) 20.4s to 21.4s"], "answer": "C) 18.4s to 19.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sink' is clearly visible from 13.6s to 15.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'sink' in Video 2.", "options": ["A) 19.4s to 20.4s", "B) 18.4s to 19.4s", "C) 17.4s to 18.4s", "D) 20.4s to 21.4s"], "answer": "B) 18.4s to 19.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf / cabinet' is clearly visible from 16.4s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf / cabinet' in Video 2.", "options": ["A) 13.6s to 15.8s", "B) 14.6s to 16.8s", "C) 15.6s to 17.8s", "D) 16.6s to 18.8s"], "answer": "B) 14.6s to 16.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf / cabinet' is clearly visible from 3.4s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf / cabinet' in Video 2.", "options": ["A) 18.6s to 20.0s", "B) 15.6s to 17.0s", "C) 16.6s to 18.0s", "D) 17.6s to 19.0s"], "answer": "C) 16.6s to 18.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelf / cabinet' is clearly visible from 14.6s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelf / cabinet' in Video 2.", "options": ["A) 17.6s to 19.0s", "B) 16.6s to 18.0s", "C) 15.6s to 17.0s", "D) 18.6s to 20.0s"], "answer": "B) 16.6s to 18.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 16.6s to 17.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 14.4s to 15.4s", "B) 16.4s to 17.4s", "C) 15.4s to 16.4s", "D) 17.4s to 18.4s"], "answer": "C) 15.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 13.4s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 14.2s to 17.4s", "B) 15.2s to 18.4s", "C) 13.2s to 16.4s", "D) 12.2s to 15.4s"], "answer": "C) 13.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 3.0s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 14.4s to 16.8s", "B) 13.4s to 15.8s", "C) 15.4s to 17.8s", "D) 16.4s to 18.8s"], "answer": "A) 14.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 13.2s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 14.4s to 16.8s", "B) 13.4s to 15.8s", "C) 16.4s to 18.8s", "D) 15.4s to 17.8s"], "answer": "A) 14.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 12.0s to 15.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 15.2s to 17.2s", "B) 14.2s to 16.2s", "C) 13.2s to 15.2s", "D) 12.2s to 14.2s"], "answer": "C) 13.2s to 15.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 1.8s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 14.4s to 19.4s", "B) 11.4s to 16.4s", "C) 13.4s to 18.4s", "D) 12.4s to 17.4s"], "answer": "D) 12.4s to 17.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 13.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 11.4s to 16.4s", "B) 12.4s to 17.4s", "C) 14.4s to 19.4s", "D) 13.4s to 18.4s"], "answer": "B) 12.4s to 17.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 16.4s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 12.0s to 16.0s", "B) 14.0s to 18.0s", "C) 15.0s to 19.0s", "D) 13.0s to 17.0s"], "answer": "D) 13.0s to 17.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 12.8s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 12.2s to 14.2s", "B) 14.2s to 16.2s", "C) 13.2s to 15.2s", "D) 15.2s to 17.2s"], "answer": "C) 13.2s to 15.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 12.8s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 14.6s to 17.2s", "B) 13.6s to 16.2s", "C) 15.6s to 18.2s", "D) 16.6s to 19.2s"], "answer": "A) 14.6s to 17.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 13.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 16.6s to 19.2s", "B) 13.6s to 16.2s", "C) 15.6s to 18.2s", "D) 14.6s to 17.2s"], "answer": "D) 14.6s to 17.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 16.4s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 11.8s to 14.6s", "B) 14.8s to 17.6s", "C) 12.8s to 15.6s", "D) 13.8s to 16.6s"], "answer": "C) 12.8s to 15.6s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 16.4s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 14.2s to 19.0s", "B) 12.2s to 17.0s", "C) 13.2s to 18.0s", "D) 11.2s to 16.0s"], "answer": "B) 12.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 12.8s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 14.2s to 19.0s", "B) 11.2s to 16.0s", "C) 13.2s to 18.0s", "D) 12.2s to 17.0s"], "answer": "D) 12.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 12.2s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 14.0s to 16.2s", "B) 16.0s to 18.2s", "C) 13.0s to 15.2s", "D) 15.0s to 17.2s"], "answer": "A) 14.0s to 16.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 2.2s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 13.4s to 16.2s", "B) 12.4s to 15.2s", "C) 15.4s to 18.2s", "D) 14.4s to 17.2s"], "answer": "A) 13.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 14.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 15.4s to 18.2s", "B) 14.4s to 17.2s", "C) 12.4s to 15.2s", "D) 13.4s to 16.2s"], "answer": "D) 13.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 2.0s to 5.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 16.6s to 18.2s", "B) 15.6s to 17.2s", "C) 14.6s to 16.2s", "D) 13.6s to 15.2s"], "answer": "C) 14.6s to 16.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 14.2s to 15.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 16.0s to 18.0s", "B) 15.0s to 17.0s", "C) 13.0s to 15.0s", "D) 14.0s to 16.0s"], "answer": "D) 14.0s to 16.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 14.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 14.0s to 16.0s", "B) 15.0s to 17.0s", "C) 13.0s to 15.0s", "D) 16.0s to 18.0s"], "answer": "A) 14.0s to 16.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 12.4s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 16.8s to 18.2s", "B) 13.8s to 15.2s", "C) 15.8s to 17.2s", "D) 14.8s to 16.2s"], "answer": "D) 14.8s to 16.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 9.8s to 14.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 11.6s to 14.0s", "B) 10.6s to 13.0s", "C) 12.6s to 15.0s", "D) 9.6s to 12.0s"], "answer": "B) 10.6s to 13.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 9.8s to 14.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 2.8s to 7.4s", "B) 3.8s to 8.4s", "C) 1.8s to 6.4s", "D) 4.8s to 9.4s"], "answer": "A) 2.8s to 7.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 10.6s to 13.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 1.8s to 6.4s", "B) 4.8s to 9.4s", "C) 3.8s to 8.4s", "D) 2.8s to 7.4s"], "answer": "D) 2.8s to 7.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 1.0s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 12.6s to 16.2s", "B) 14.6s to 18.2s", "C) 11.6s to 15.2s", "D) 13.6s to 17.2s"], "answer": "A) 12.6s to 16.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 1.0s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 8.8s to 16.6s", "B) 10.8s to 18.6s", "C) 7.8s to 15.6s", "D) 9.8s to 17.6s"], "answer": "A) 8.8s to 16.6s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'picture' is clearly visible from 12.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'picture' in Video 2.", "options": ["A) 9.8s to 17.6s", "B) 8.8s to 16.6s", "C) 7.8s to 15.6s", "D) 10.8s to 18.6s"], "answer": "B) 8.8s to 16.6s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 1.0s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 14.6s to 18.2s", "B) 11.6s to 15.2s", "C) 13.6s to 17.2s", "D) 12.6s to 16.2s"], "answer": "D) 12.6s to 16.2s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 1.0s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 8.8s to 16.6s", "B) 7.8s to 15.6s", "C) 9.8s to 17.6s", "D) 10.8s to 18.6s"], "answer": "A) 8.8s to 16.6s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 12.6s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 10.8s to 18.6s", "B) 7.8s to 15.6s", "C) 9.8s to 17.6s", "D) 8.8s to 16.6s"], "answer": "D) 8.8s to 16.6s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sculpture' is clearly visible from 1.0s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'sculpture' in Video 2.", "options": ["A) 7.2s to 15.6s", "B) 8.2s to 16.6s", "C) 10.2s to 18.6s", "D) 9.2s to 17.6s"], "answer": "B) 8.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 1.2s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 13.4s to 18.0s", "B) 12.4s to 17.0s", "C) 11.4s to 16.0s", "D) 10.4s to 15.0s"], "answer": "C) 11.4s to 16.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 1.2s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 6.2s to 15.4s", "B) 7.2s to 16.4s", "C) 9.2s to 18.4s", "D) 8.2s to 17.4s"], "answer": "B) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'couch' is clearly visible from 11.4s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'couch' in Video 2.", "options": ["A) 7.2s to 16.4s", "B) 6.2s to 15.4s", "C) 9.2s to 18.4s", "D) 8.2s to 17.4s"], "answer": "A) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 1.6s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 12.4s to 17.0s", "B) 13.4s to 18.0s", "C) 10.4s to 15.0s", "D) 11.4s to 16.0s"], "answer": "D) 11.4s to 16.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 1.6s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 6.2s to 15.4s", "B) 7.2s to 16.4s", "C) 8.2s to 17.4s", "D) 9.2s to 18.4s"], "answer": "B) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 11.4s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 7.2s to 16.4s", "B) 6.2s to 15.4s", "C) 8.2s to 17.4s", "D) 9.2s to 18.4s"], "answer": "A) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 1.6s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 12.4s to 15.0s", "B) 10.4s to 13.0s", "C) 11.4s to 14.0s", "D) 13.4s to 16.0s"], "answer": "C) 11.4s to 14.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 1.6s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 6.2s to 15.4s", "B) 9.2s to 18.4s", "C) 7.2s to 16.4s", "D) 8.2s to 17.4s"], "answer": "C) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 11.4s to 14.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 7.2s to 16.4s", "B) 9.2s to 18.4s", "C) 6.2s to 15.4s", "D) 8.2s to 17.4s"], "answer": "A) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 1.6s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 11.0s to 15.0s", "B) 12.0s to 16.0s", "C) 14.0s to 18.0s", "D) 13.0s to 17.0s"], "answer": "B) 12.0s to 16.0s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 1.6s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 6.2s to 15.4s", "B) 8.2s to 17.4s", "C) 7.2s to 16.4s", "D) 9.2s to 18.4s"], "answer": "C) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 12.0s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 8.2s to 17.4s", "B) 6.2s to 15.4s", "C) 9.2s to 18.4s", "D) 7.2s to 16.4s"], "answer": "D) 7.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam1/cam1.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 1.6s to 5.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 9.6s to 15.4s", "B) 10.6s to 16.4s", "C) 12.6s to 18.4s", "D) 11.6s to 17.4s"], "answer": "B) 10.6s to 16.4s", "videos": ["dataset/habitat_data/general/val/qyAac8rV8Zk/cam0/cam0.mp4", "dataset/habitat_data/general/val/qyAac8rV8Zk/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 10.0s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 15.4s to 18.8s", "B) 14.4s to 17.8s", "C) 12.4s to 15.8s", "D) 13.4s to 16.8s"], "answer": "D) 13.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'light fixture' is clearly visible from 15.2s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'light fixture' in Video 2.", "options": ["A) 0.6s to 3.2s", "B) 1.6s to 4.2s", "C) 2.6s to 5.2s", "D) 3.6s to 6.2s"], "answer": "B) 1.6s to 4.2s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 9.0s to 12.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 17.2s to 19.0s", "B) 16.2s to 18.0s", "C) 14.2s to 16.0s", "D) 15.2s to 17.0s"], "answer": "D) 15.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 11.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 4.4s to 7.0s", "B) 3.4s to 6.0s", "C) 2.4s to 5.0s", "D) 1.4s to 4.0s"], "answer": "C) 2.4s to 5.0s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 14.2s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 1.2s to 3.8s", "B) 2.2s to 4.8s", "C) 0.2s to 2.8s", "D) 3.2s to 5.8s"], "answer": "A) 1.2s to 3.8s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 9.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 6.0s to 7.2s", "B) 5.0s to 6.2s", "C) 4.0s to 5.2s", "D) 3.0s to 4.2s"], "answer": "C) 4.0s to 5.2s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 10.6s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 11.6s to 12.6s", "B) 14.6s to 15.6s", "C) 12.6s to 13.6s", "D) 13.6s to 14.6s"], "answer": "C) 12.6s to 13.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 10.2s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 12.2s to 16.0s", "B) 15.2s to 19.0s", "C) 14.2s to 18.0s", "D) 13.2s to 17.0s"], "answer": "D) 13.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelving' is clearly visible from 6.8s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelving' in Video 2.", "options": ["A) 3.4s to 9.6s", "B) 5.4s to 11.6s", "C) 4.4s to 10.6s", "D) 2.4s to 8.6s"], "answer": "A) 3.4s to 9.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelving' is clearly visible from 6.8s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelving' in Video 2.", "options": ["A) 7.4s to 8.6s", "B) 8.4s to 9.6s", "C) 9.4s to 10.6s", "D) 6.4s to 7.6s"], "answer": "A) 7.4s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'shelving' is clearly visible from 3.4s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'shelving' in Video 2.", "options": ["A) 6.4s to 7.6s", "B) 9.4s to 10.6s", "C) 8.4s to 9.6s", "D) 7.4s to 8.6s"], "answer": "D) 7.4s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 3.8s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 13.4s to 14.0s", "B) 16.4s to 17.0s", "C) 14.4s to 15.0s", "D) 15.4s to 16.0s"], "answer": "C) 14.4s to 15.0s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 3.8s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.2s to 13.4s", "B) 13.2s to 14.4s", "C) 14.2s to 15.4s", "D) 11.2s to 12.4s"], "answer": "A) 12.2s to 13.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 16.2s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.2s to 13.4s", "B) 14.2s to 15.4s", "C) 11.2s to 12.4s", "D) 13.2s to 14.4s"], "answer": "A) 12.2s to 13.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'light fixture' is clearly visible from 1.0s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'light fixture' in Video 2.", "options": ["A) 14.0s to 15.4s", "B) 17.0s to 18.4s", "C) 16.0s to 17.4s", "D) 15.0s to 16.4s"], "answer": "D) 15.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'light fixture' is clearly visible from 5.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'light fixture' in Video 2.", "options": ["A) 8.6s to 9.6s", "B) 9.6s to 10.6s", "C) 7.6s to 8.6s", "D) 6.6s to 7.6s"], "answer": "C) 7.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 4.8s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 13.4s to 13.8s", "B) 16.4s to 16.8s", "C) 15.4s to 15.8s", "D) 14.4s to 14.8s"], "answer": "D) 14.4s to 14.8s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 3.8s to 6.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 14.4s to 15.0s", "B) 13.4s to 14.0s", "C) 16.4s to 17.0s", "D) 15.4s to 16.0s"], "answer": "A) 14.4s to 15.0s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'coffee table' is clearly visible from 3.8s to 6.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'coffee table' in Video 2.", "options": ["A) 17.0s to 18.4s", "B) 16.0s to 17.4s", "C) 15.0s to 16.4s", "D) 18.0s to 19.4s"], "answer": "B) 16.0s to 17.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 3.8s to 6.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 13.4s to 14.0s", "B) 15.4s to 16.0s", "C) 16.4s to 17.0s", "D) 14.4s to 15.0s"], "answer": "D) 14.4s to 15.0s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 3.6s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 17.8s to 19.4s", "B) 14.8s to 16.4s", "C) 15.8s to 17.4s", "D) 16.8s to 18.4s"], "answer": "C) 15.8s to 17.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.8s to 6.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 13.4s to 14.0s", "B) 15.4s to 16.0s", "C) 16.4s to 17.0s", "D) 14.4s to 15.0s"], "answer": "D) 14.4s to 15.0s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.6s to 6.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 14.4s to 15.0s", "B) 13.4s to 14.0s", "C) 15.4s to 16.0s", "D) 16.4s to 17.0s"], "answer": "A) 14.4s to 15.0s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 3.0s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 16.6s to 19.2s", "B) 13.6s to 16.2s", "C) 15.6s to 18.2s", "D) 14.6s to 17.2s"], "answer": "D) 14.6s to 17.2s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 0.0s to 12.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 13.8s to 15.8s", "B) 14.8s to 16.8s", "C) 15.8s to 17.8s", "D) 16.8s to 18.8s"], "answer": "B) 14.8s to 16.8s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 2.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 14.6s to 17.0s", "B) 15.6s to 18.0s", "C) 16.6s to 19.0s", "D) 13.6s to 16.0s"], "answer": "A) 14.6s to 17.0s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 4.2s to 4.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 14.4s to 15.2s", "B) 16.4s to 17.2s", "C) 15.4s to 16.2s", "D) 17.4s to 18.2s"], "answer": "C) 15.4s to 16.2s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 4.2s to 4.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 9.6s to 10.6s", "B) 7.6s to 8.6s", "C) 8.6s to 9.6s", "D) 6.6s to 7.6s"], "answer": "B) 7.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'tv' is clearly visible from 15.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'tv' in Video 2.", "options": ["A) 9.6s to 10.6s", "B) 6.6s to 7.6s", "C) 8.6s to 9.6s", "D) 7.6s to 8.6s"], "answer": "D) 7.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 4.8s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.8s to 9.6s", "B) 7.8s to 8.6s", "C) 9.8s to 10.6s", "D) 6.8s to 7.6s"], "answer": "B) 7.8s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 14.6s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 15.8s to 17.8s", "B) 14.8s to 16.8s", "C) 13.8s to 15.8s", "D) 16.8s to 18.8s"], "answer": "B) 14.8s to 16.8s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 9.0s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 15.4s to 16.8s", "B) 14.4s to 15.8s", "C) 16.4s to 17.8s", "D) 17.4s to 18.8s"], "answer": "A) 15.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 3.2s to 8.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 8.0s to 8.8s", "B) 10.0s to 10.8s", "C) 9.0s to 9.8s", "D) 7.0s to 7.8s"], "answer": "A) 8.0s to 8.8s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 15.4s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 10.0s to 10.8s", "B) 9.0s to 9.8s", "C) 7.0s to 7.8s", "D) 8.0s to 8.8s"], "answer": "D) 8.0s to 8.8s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 5.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 6.6s to 8.6s", "B) 5.6s to 7.6s", "C) 7.6s to 9.6s", "D) 8.6s to 10.6s"], "answer": "A) 6.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 5.8s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 8.4s to 9.6s", "B) 9.4s to 10.6s", "C) 6.4s to 7.6s", "D) 7.4s to 8.6s"], "answer": "D) 7.4s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 5.2s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 6.6s to 7.6s", "B) 9.6s to 10.6s", "C) 8.6s to 9.6s", "D) 7.6s to 8.6s"], "answer": "D) 7.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 15.4s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 9.6s to 10.6s", "B) 7.6s to 8.6s", "C) 6.6s to 7.6s", "D) 8.6s to 9.6s"], "answer": "B) 7.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 4.0s to 5.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 16.4s to 17.4s", "B) 17.4s to 18.4s", "C) 15.4s to 16.4s", "D) 14.4s to 15.4s"], "answer": "C) 15.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 6.8s to 8.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 9.8s to 10.6s", "B) 8.8s to 9.6s", "C) 6.8s to 7.6s", "D) 7.8s to 8.6s"], "answer": "D) 7.8s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 15.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 7.8s to 8.6s", "B) 9.8s to 10.6s", "C) 6.8s to 7.6s", "D) 8.8s to 9.6s"], "answer": "A) 7.8s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'amplifier' is clearly visible from 0.8s to 8.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'amplifier' in Video 2.", "options": ["A) 15.0s to 16.6s", "B) 16.0s to 17.6s", "C) 17.0s to 18.6s", "D) 14.0s to 15.6s"], "answer": "A) 15.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'statue' is clearly visible from 0.0s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'statue' in Video 2.", "options": ["A) 17.2s to 18.4s", "B) 14.2s to 15.4s", "C) 16.2s to 17.4s", "D) 15.2s to 16.4s"], "answer": "D) 15.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stereo' is clearly visible from 0.6s to 6.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'stereo' in Video 2.", "options": ["A) 14.2s to 15.4s", "B) 17.2s to 18.4s", "C) 15.2s to 16.4s", "D) 16.2s to 17.4s"], "answer": "C) 15.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 0.0s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 14.0s to 15.4s", "B) 16.0s to 17.4s", "C) 17.0s to 18.4s", "D) 15.0s to 16.4s"], "answer": "D) 15.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fire screen' is clearly visible from 5.4s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'fire screen' in Video 2.", "options": ["A) 7.6s to 8.6s", "B) 8.6s to 9.6s", "C) 9.6s to 10.6s", "D) 6.6s to 7.6s"], "answer": "A) 7.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fireplace' is clearly visible from 1.8s to 3.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'fireplace' in Video 2.", "options": ["A) 7.4s to 8.6s", "B) 8.4s to 9.6s", "C) 9.4s to 10.6s", "D) 6.4s to 7.6s"], "answer": "A) 7.4s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'light fixture' is clearly visible from 2.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'light fixture' in Video 2.", "options": ["A) 13.8s to 15.4s", "B) 14.8s to 16.4s", "C) 15.8s to 17.4s", "D) 16.8s to 18.4s"], "answer": "B) 14.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen cabinet' is clearly visible from 7.6s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen cabinet' in Video 2.", "options": ["A) 7.8s to 9.4s", "B) 5.8s to 7.4s", "C) 8.8s to 10.4s", "D) 6.8s to 8.4s"], "answer": "D) 6.8s to 8.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'light fixture' is clearly visible from 1.4s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'light fixture' in Video 2.", "options": ["A) 15.2s to 16.4s", "B) 16.2s to 17.4s", "C) 14.2s to 15.4s", "D) 17.2s to 18.4s"], "answer": "A) 15.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'light fixture' is clearly visible from 5.2s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'light fixture' in Video 2.", "options": ["A) 8.6s to 9.6s", "B) 6.6s to 7.6s", "C) 7.6s to 8.6s", "D) 9.6s to 10.6s"], "answer": "C) 7.6s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'light fixture' is clearly visible from 6.0s to 9.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'light fixture' in Video 2.", "options": ["A) 7.4s to 8.6s", "B) 8.4s to 9.6s", "C) 9.4s to 10.6s", "D) 6.4s to 7.6s"], "answer": "A) 7.4s to 8.6s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 15.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 5.4s to 9.4s", "B) 4.4s to 8.4s", "C) 6.4s to 10.4s", "D) 3.4s to 7.4s"], "answer": "B) 4.4s to 8.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bathroom counter' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bathroom counter' in Video 2.", "options": ["A) 3.2s to 4.4s", "B) 2.2s to 3.4s", "C) 1.2s to 2.4s", "D) 4.2s to 5.4s"], "answer": "B) 2.2s to 3.4s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'painting' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'painting' in Video 2.", "options": ["A) 2.6s to 5.2s", "B) 3.6s to 6.2s", "C) 1.6s to 4.2s", "D) 0.6s to 3.2s"], "answer": "C) 1.6s to 4.2s", "videos": ["dataset/habitat_data/general/val/y9hTuugGdiq/cam0/cam0.mp4", "dataset/habitat_data/general/val/y9hTuugGdiq/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 7.0s to 8.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 2.0s to 3.4s", "B) 4.0s to 5.4s", "C) 5.0s to 6.4s", "D) 3.0s to 4.4s"], "answer": "D) 3.0s to 4.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 13.4s to 15.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 9.0s to 10.6s", "B) 11.0s to 12.6s", "C) 12.0s to 13.6s", "D) 10.0s to 11.6s"], "answer": "D) 10.0s to 11.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 14.4s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 20.0s to 20.8s", "B) 18.0s to 18.8s", "C) 19.0s to 19.8s", "D) 21.0s to 21.8s"], "answer": "C) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 7.0s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 11.0s to 16.0s", "B) 13.0s to 18.0s", "C) 14.0s to 19.0s", "D) 12.0s to 17.0s"], "answer": "D) 12.0s to 17.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 13.0s to 18.0s", "B) 12.0s to 17.0s", "C) 11.0s to 16.0s", "D) 14.0s to 19.0s"], "answer": "B) 12.0s to 17.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 13.6s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 6.0s to 10.2s", "B) 7.0s to 11.2s", "C) 5.0s to 9.2s", "D) 4.0s to 8.2s"], "answer": "C) 5.0s to 9.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 13.6s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 15.6s to 17.2s", "B) 14.6s to 16.2s", "C) 16.6s to 18.2s", "D) 13.6s to 15.2s"], "answer": "B) 14.6s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 18.4s to 19.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 14.6s to 16.2s", "B) 13.6s to 15.2s", "C) 16.6s to 18.2s", "D) 15.6s to 17.2s"], "answer": "A) 14.6s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall hanging decoration' is clearly visible from 8.6s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall hanging decoration' in Video 2.", "options": ["A) 6.2s to 11.6s", "B) 3.2s to 8.6s", "C) 5.2s to 10.6s", "D) 4.2s to 9.6s"], "answer": "D) 4.2s to 9.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall hanging decoration' is clearly visible from 8.6s to 11.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall hanging decoration' in Video 2.", "options": ["A) 15.0s to 17.2s", "B) 14.0s to 16.2s", "C) 16.0s to 18.2s", "D) 13.0s to 15.2s"], "answer": "B) 14.0s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'wall hanging decoration' is clearly visible from 4.2s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'wall hanging decoration' in Video 2.", "options": ["A) 15.0s to 17.2s", "B) 13.0s to 15.2s", "C) 16.0s to 18.2s", "D) 14.0s to 16.2s"], "answer": "D) 14.0s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fire extinguisher' is clearly visible from 5.4s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'fire extinguisher' in Video 2.", "options": ["A) 14.0s to 15.2s", "B) 16.0s to 17.2s", "C) 15.0s to 16.2s", "D) 17.0s to 18.2s"], "answer": "C) 15.0s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fire extinguisher' is clearly visible from 13.4s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'fire extinguisher' in Video 2.", "options": ["A) 9.2s to 10.4s", "B) 11.2s to 12.4s", "C) 10.2s to 11.4s", "D) 12.2s to 13.4s"], "answer": "C) 10.2s to 11.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'fire extinguisher' is clearly visible from 15.0s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'fire extinguisher' in Video 2.", "options": ["A) 9.2s to 10.4s", "B) 12.2s to 13.4s", "C) 11.2s to 12.4s", "D) 10.2s to 11.4s"], "answer": "D) 10.2s to 11.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 5.6s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 13.6s to 17.0s", "B) 15.6s to 19.0s", "C) 12.6s to 16.0s", "D) 14.6s to 18.0s"], "answer": "A) 13.6s to 17.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 5.6s to 6.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 20.8s to 21.8s", "C) 17.8s to 18.8s", "D) 18.8s to 19.8s"], "answer": "D) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 13.6s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 17.8s to 18.8s", "B) 18.8s to 19.8s", "C) 19.8s to 20.8s", "D) 20.8s to 21.8s"], "answer": "B) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 11.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 15.0s to 17.8s", "B) 14.0s to 16.8s", "C) 16.0s to 18.8s", "D) 13.0s to 15.8s"], "answer": "B) 14.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 11.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 18.8s to 19.8s", "C) 17.8s to 18.8s", "D) 20.8s to 21.8s"], "answer": "B) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 14.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 20.8s to 21.8s", "B) 18.8s to 19.8s", "C) 19.8s to 20.8s", "D) 17.8s to 18.8s"], "answer": "B) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 11.6s to 15.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 13.2s to 17.2s", "B) 15.2s to 19.2s", "C) 12.2s to 16.2s", "D) 14.2s to 18.2s"], "answer": "A) 13.2s to 17.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 12.2s to 14.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 16.2s to 18.6s", "B) 14.2s to 16.6s", "C) 13.2s to 15.6s", "D) 15.2s to 17.6s"], "answer": "B) 14.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.4s to 6.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.2s to 13.2s", "B) 10.2s to 11.2s", "C) 11.2s to 12.2s", "D) 9.2s to 10.2s"], "answer": "B) 10.2s to 11.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 14.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 10.2s to 11.2s", "B) 11.2s to 12.2s", "C) 12.2s to 13.2s", "D) 9.2s to 10.2s"], "answer": "A) 10.2s to 11.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.4s to 6.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.0s to 13.6s", "B) 9.0s to 10.6s", "C) 10.0s to 11.6s", "D) 11.0s to 12.6s"], "answer": "C) 10.0s to 11.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.0s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 19.0s to 19.8s", "B) 20.0s to 20.8s", "C) 18.0s to 18.8s", "D) 21.0s to 21.8s"], "answer": "A) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.0s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 14.0s to 19.2s", "B) 13.0s to 18.2s", "C) 11.0s to 16.2s", "D) 12.0s to 17.2s"], "answer": "D) 12.0s to 17.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 14.0s to 19.2s", "B) 13.0s to 18.2s", "C) 11.0s to 16.2s", "D) 12.0s to 17.2s"], "answer": "D) 12.0s to 17.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stand' is clearly visible from 7.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'stand' in Video 2.", "options": ["A) 21.0s to 21.8s", "B) 18.0s to 18.8s", "C) 19.0s to 19.8s", "D) 20.0s to 20.8s"], "answer": "C) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stand' is clearly visible from 7.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'stand' in Video 2.", "options": ["A) 14.2s to 19.0s", "B) 13.2s to 18.0s", "C) 11.2s to 16.0s", "D) 12.2s to 17.0s"], "answer": "D) 12.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stand' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'stand' in Video 2.", "options": ["A) 12.2s to 17.0s", "B) 11.2s to 16.0s", "C) 14.2s to 19.0s", "D) 13.2s to 18.0s"], "answer": "A) 12.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 7.0s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 11.0s to 12.6s", "B) 12.0s to 13.6s", "C) 13.0s to 14.6s", "D) 14.0s to 15.6s"], "answer": "B) 12.0s to 13.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 11.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 11.6s to 14.4s", "B) 9.6s to 12.4s", "C) 10.6s to 13.4s", "D) 12.6s to 15.4s"], "answer": "C) 10.6s to 13.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 11.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 11.8s to 14.6s", "B) 9.8s to 12.6s", "C) 12.8s to 15.6s", "D) 10.8s to 13.6s"], "answer": "D) 10.8s to 13.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 11.4s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 13.4s to 14.6s", "B) 14.4s to 15.6s", "C) 11.4s to 12.6s", "D) 12.4s to 13.6s"], "answer": "D) 12.4s to 13.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 13.6s to 15.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 7.6s to 11.6s", "B) 4.6s to 8.6s", "C) 5.6s to 9.6s", "D) 6.6s to 10.6s"], "answer": "C) 5.6s to 9.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 8.8s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 14.4s to 16.4s", "B) 13.4s to 15.4s", "C) 15.4s to 17.4s", "D) 16.4s to 18.4s"], "answer": "A) 14.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 14.2s to 16.4s", "B) 15.2s to 17.4s", "C) 13.2s to 15.4s", "D) 16.2s to 18.4s"], "answer": "A) 14.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 14.2s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 16.2s to 18.6s", "B) 14.2s to 16.6s", "C) 15.2s to 17.6s", "D) 13.2s to 15.6s"], "answer": "B) 14.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 8.8s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 15.2s to 17.6s", "B) 16.2s to 18.6s", "C) 14.2s to 16.6s", "D) 13.2s to 15.6s"], "answer": "C) 14.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'exit sign' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'exit sign' in Video 2.", "options": ["A) 14.2s to 16.4s", "B) 13.2s to 15.4s", "C) 15.2s to 17.4s", "D) 16.2s to 18.4s"], "answer": "A) 14.2s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 9.8s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 19.4s to 21.0s", "B) 16.4s to 18.0s", "C) 17.4s to 19.0s", "D) 18.4s to 20.0s"], "answer": "C) 17.4s to 19.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 7.0s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 17.8s to 18.8s", "C) 20.8s to 21.8s", "D) 18.8s to 19.8s"], "answer": "D) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 7.0s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 0.0s to 1.8s", "B) 2.0s to 3.8s", "C) 3.0s to 4.8s", "D) 1.0s to 2.8s"], "answer": "A) 0.0s to 1.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 1.0s to 2.8s", "B) 0.0s to 1.8s", "C) 2.0s to 3.8s", "D) 3.0s to 4.8s"], "answer": "B) 0.0s to 1.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'monitor' is clearly visible from 11.4s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'monitor' in Video 2.", "options": ["A) 13.2s to 16.0s", "B) 11.2s to 14.0s", "C) 12.2s to 15.0s", "D) 10.2s to 13.0s"], "answer": "B) 11.2s to 14.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 13.6s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 17.6s to 19.2s", "B) 16.6s to 18.2s", "C) 19.6s to 21.2s", "D) 18.6s to 20.2s"], "answer": "A) 17.6s to 19.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 9.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 15.6s to 17.4s", "B) 13.6s to 15.4s", "C) 16.6s to 18.4s", "D) 14.6s to 16.4s"], "answer": "D) 14.6s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 17.6s to 19.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 14.6s to 16.4s", "B) 16.6s to 18.4s", "C) 13.6s to 15.4s", "D) 15.6s to 17.4s"], "answer": "A) 14.6s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 7.0s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 18.0s to 18.8s", "B) 19.0s to 19.8s", "C) 21.0s to 21.8s", "D) 20.0s to 20.8s"], "answer": "B) 19.0s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 7.0s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 0.6s to 4.8s", "B) 3.6s to 7.8s", "C) 2.6s to 6.8s", "D) 1.6s to 5.8s"], "answer": "D) 1.6s to 5.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 19.0s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 0.6s to 4.8s", "B) 3.6s to 7.8s", "C) 2.6s to 6.8s", "D) 1.6s to 5.8s"], "answer": "D) 1.6s to 5.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stand' is clearly visible from 7.2s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'stand' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 17.8s to 18.8s", "C) 20.8s to 21.8s", "D) 18.8s to 19.8s"], "answer": "D) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stand' is clearly visible from 7.2s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'stand' in Video 2.", "options": ["A) 5.2s to 7.6s", "B) 2.2s to 4.6s", "C) 3.2s to 5.6s", "D) 4.2s to 6.6s"], "answer": "C) 3.2s to 5.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stand' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'stand' in Video 2.", "options": ["A) 3.2s to 5.6s", "B) 4.2s to 6.6s", "C) 5.2s to 7.6s", "D) 2.2s to 4.6s"], "answer": "A) 3.2s to 5.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.6s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 11.4s to 12.8s", "B) 8.4s to 9.8s", "C) 10.4s to 11.8s", "D) 9.4s to 10.8s"], "answer": "D) 9.4s to 10.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.6s to 9.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 0.0s to 0.4s", "B) 3.0s to 3.4s", "C) 2.0s to 2.4s", "D) 1.0s to 1.4s"], "answer": "D) 1.0s to 1.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 7.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 20.8s to 21.8s", "C) 18.8s to 19.8s", "D) 17.8s to 18.8s"], "answer": "C) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 7.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 3.0s to 5.2s", "B) 1.0s to 3.2s", "C) 2.0s to 4.2s", "D) 0.0s to 2.2s"], "answer": "D) 0.0s to 2.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 2.0s to 4.2s", "B) 3.0s to 5.2s", "C) 1.0s to 3.2s", "D) 0.0s to 2.2s"], "answer": "D) 0.0s to 2.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.0s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 20.8s to 21.8s", "B) 18.8s to 19.8s", "C) 19.8s to 20.8s", "D) 17.8s to 18.8s"], "answer": "B) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.0s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.0s to 7.8s", "B) 0.0s to 5.8s", "C) 1.0s to 6.8s", "D) 3.0s to 8.8s"], "answer": "B) 0.0s to 5.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.0s to 7.8s", "B) 0.0s to 5.8s", "C) 3.0s to 8.8s", "D) 1.0s to 6.8s"], "answer": "B) 0.0s to 5.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 13.6s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 18.6s to 20.2s", "B) 19.6s to 21.2s", "C) 16.6s to 18.2s", "D) 17.6s to 19.2s"], "answer": "D) 17.6s to 19.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 13.6s to 15.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 14.8s to 16.2s", "B) 16.8s to 18.2s", "C) 15.8s to 17.2s", "D) 13.8s to 15.2s"], "answer": "A) 14.8s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 17.6s to 19.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 13.8s to 15.2s", "B) 15.8s to 17.2s", "C) 16.8s to 18.2s", "D) 14.8s to 16.2s"], "answer": "D) 14.8s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 13.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 18.6s to 19.6s", "B) 16.6s to 17.6s", "C) 17.6s to 18.6s", "D) 19.6s to 20.6s"], "answer": "C) 17.6s to 18.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 13.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 15.2s to 16.2s", "B) 17.2s to 18.2s", "C) 14.2s to 15.2s", "D) 16.2s to 17.2s"], "answer": "A) 15.2s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 17.6s to 18.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 15.2s to 16.2s", "B) 17.2s to 18.2s", "C) 14.2s to 15.2s", "D) 16.2s to 17.2s"], "answer": "A) 15.2s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 14.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 18.2s to 19.0s", "B) 19.2s to 20.0s", "C) 17.2s to 18.0s", "D) 20.2s to 21.0s"], "answer": "A) 18.2s to 19.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 13.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 20.0s to 21.4s", "B) 17.0s to 18.4s", "C) 18.0s to 19.4s", "D) 19.0s to 20.4s"], "answer": "C) 18.0s to 19.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 13.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 14.8s to 17.4s", "B) 13.8s to 16.4s", "C) 15.8s to 18.4s", "D) 12.8s to 15.4s"], "answer": "B) 13.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 18.0s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 14.8s to 17.4s", "B) 15.8s to 18.4s", "C) 12.8s to 15.4s", "D) 13.8s to 16.4s"], "answer": "D) 13.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 8.4s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 20.0s to 21.4s", "B) 18.0s to 19.4s", "C) 19.0s to 20.4s", "D) 17.0s to 18.4s"], "answer": "B) 18.0s to 19.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 13.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 14.0s to 16.4s", "B) 16.0s to 18.4s", "C) 13.0s to 15.4s", "D) 15.0s to 17.4s"], "answer": "A) 14.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 18.0s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 13.0s to 15.4s", "B) 16.0s to 18.4s", "C) 14.0s to 16.4s", "D) 15.0s to 17.4s"], "answer": "C) 14.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 8.2s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 19.0s to 20.4s", "B) 20.0s to 21.4s", "C) 17.0s to 18.4s", "D) 18.0s to 19.4s"], "answer": "D) 18.0s to 19.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 8.2s to 11.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 14.6s to 17.4s", "B) 15.6s to 18.4s", "C) 13.6s to 16.4s", "D) 12.6s to 15.4s"], "answer": "C) 13.6s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 18.0s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 13.6s to 16.4s", "B) 14.6s to 17.4s", "C) 12.6s to 15.4s", "D) 15.6s to 18.4s"], "answer": "A) 13.6s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.6s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 20.4s to 21.8s", "B) 17.4s to 18.8s", "C) 19.4s to 20.8s", "D) 18.4s to 19.8s"], "answer": "D) 18.4s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.6s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 1.0s to 5.0s", "B) 3.0s to 7.0s", "C) 2.0s to 6.0s", "D) 0.0s to 4.0s"], "answer": "D) 0.0s to 4.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 18.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 3.0s to 7.0s", "B) 0.0s to 4.0s", "C) 2.0s to 6.0s", "D) 1.0s to 5.0s"], "answer": "B) 0.0s to 4.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bin' is clearly visible from 7.6s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bin' in Video 2.", "options": ["A) 20.4s to 21.8s", "B) 19.4s to 20.8s", "C) 17.4s to 18.8s", "D) 18.4s to 19.8s"], "answer": "D) 18.4s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bin' is clearly visible from 7.6s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bin' in Video 2.", "options": ["A) 13.6s to 17.8s", "B) 12.6s to 16.8s", "C) 14.6s to 18.8s", "D) 11.6s to 15.8s"], "answer": "B) 12.6s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bin' is clearly visible from 18.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bin' in Video 2.", "options": ["A) 14.6s to 18.8s", "B) 12.6s to 16.8s", "C) 11.6s to 15.8s", "D) 13.6s to 17.8s"], "answer": "B) 12.6s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.0s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 1.0s to 2.4s", "B) 2.0s to 3.4s", "C) 3.0s to 4.4s", "D) 0.0s to 1.4s"], "answer": "D) 0.0s to 1.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.2s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 19.6s to 20.8s", "B) 17.6s to 18.8s", "C) 18.6s to 19.8s", "D) 20.6s to 21.8s"], "answer": "C) 18.6s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.2s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 3.0s to 5.2s", "B) 1.0s to 3.2s", "C) 2.0s to 4.2s", "D) 0.0s to 2.2s"], "answer": "D) 0.0s to 2.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 3.0s to 5.2s", "B) 2.0s to 4.2s", "C) 1.0s to 3.2s", "D) 0.0s to 2.2s"], "answer": "D) 0.0s to 2.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 20.2s to 21.6s", "B) 18.2s to 19.6s", "C) 19.2s to 20.6s", "D) 17.2s to 18.6s"], "answer": "B) 18.2s to 19.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 7.6s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 1.2s to 5.4s", "B) 3.2s to 7.4s", "C) 2.2s to 6.4s", "D) 0.2s to 4.4s"], "answer": "D) 0.2s to 4.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'table' is clearly visible from 18.2s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'table' in Video 2.", "options": ["A) 1.2s to 5.4s", "B) 2.2s to 6.4s", "C) 0.2s to 4.4s", "D) 3.2s to 7.4s"], "answer": "C) 0.2s to 4.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.6s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 18.2s to 19.6s", "B) 19.2s to 20.6s", "C) 17.2s to 18.6s", "D) 20.2s to 21.6s"], "answer": "A) 18.2s to 19.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 7.6s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 2.6s to 6.0s", "B) 3.6s to 7.0s", "C) 1.6s to 5.0s", "D) 0.6s to 4.0s"], "answer": "D) 0.6s to 4.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 18.2s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 3.6s to 7.0s", "B) 2.6s to 6.0s", "C) 0.6s to 4.0s", "D) 1.6s to 5.0s"], "answer": "C) 0.6s to 4.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 0.0s to 3.8s", "B) 3.0s to 6.8s", "C) 2.0s to 5.8s", "D) 1.0s to 4.8s"], "answer": "A) 0.0s to 3.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 19.0s to 20.4s", "B) 17.0s to 18.4s", "C) 18.0s to 19.4s", "D) 20.0s to 21.4s"], "answer": "C) 18.0s to 19.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.6s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 1.0s to 5.0s", "B) 3.0s to 7.0s", "C) 2.0s to 6.0s", "D) 0.0s to 4.0s"], "answer": "D) 0.0s to 4.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 18.0s to 19.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.0s to 6.0s", "B) 1.0s to 5.0s", "C) 0.0s to 4.0s", "D) 3.0s to 7.0s"], "answer": "C) 0.0s to 4.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 20.4s to 21.8s", "B) 19.4s to 20.8s", "C) 17.4s to 18.8s", "D) 18.4s to 19.8s"], "answer": "D) 18.4s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 1.0s to 6.8s", "B) 0.0s to 5.8s", "C) 2.0s to 7.8s", "D) 3.0s to 8.8s"], "answer": "B) 0.0s to 5.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 18.4s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.0s to 7.8s", "B) 1.0s to 6.8s", "C) 3.0s to 8.8s", "D) 0.0s to 5.8s"], "answer": "D) 0.0s to 5.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 18.6s to 19.8s", "B) 20.6s to 21.8s", "C) 19.6s to 20.8s", "D) 17.6s to 18.8s"], "answer": "A) 18.6s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 3.0s to 8.8s", "B) 1.0s to 6.8s", "C) 2.0s to 7.8s", "D) 0.0s to 5.8s"], "answer": "D) 0.0s to 5.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.0s to 7.8s", "B) 1.0s to 6.8s", "C) 0.0s to 5.8s", "D) 3.0s to 8.8s"], "answer": "C) 0.0s to 5.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'monitor' is clearly visible from 13.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'monitor' in Video 2.", "options": ["A) 14.0s to 15.2s", "B) 13.0s to 14.2s", "C) 16.0s to 17.2s", "D) 15.0s to 16.2s"], "answer": "A) 14.0s to 15.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 11.4s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 17.8s to 18.2s", "B) 16.8s to 17.2s", "C) 19.8s to 20.2s", "D) 18.8s to 19.2s"], "answer": "A) 17.8s to 18.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 13.6s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 0.4s to 1.8s", "B) 2.4s to 3.8s", "C) 1.4s to 2.8s", "D) 3.4s to 4.8s"], "answer": "C) 1.4s to 2.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 17.8s to 18.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 0.4s to 1.8s", "B) 2.4s to 3.8s", "C) 3.4s to 4.8s", "D) 1.4s to 2.8s"], "answer": "D) 1.4s to 2.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 20.2s to 21.6s", "B) 18.2s to 19.6s", "C) 19.2s to 20.6s", "D) 17.2s to 18.6s"], "answer": "B) 18.2s to 19.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 7.6s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 3.0s to 7.4s", "B) 1.0s to 5.4s", "C) 2.0s to 6.4s", "D) 0.0s to 4.4s"], "answer": "D) 0.0s to 4.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 18.2s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 2.0s to 6.4s", "B) 3.0s to 7.4s", "C) 1.0s to 5.4s", "D) 0.0s to 4.4s"], "answer": "D) 0.0s to 4.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 7.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 19.8s to 20.8s", "B) 17.8s to 18.8s", "C) 18.8s to 19.8s", "D) 20.8s to 21.8s"], "answer": "C) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 7.2s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 3.0s to 4.6s", "B) 1.0s to 2.6s", "C) 0.0s to 1.6s", "D) 2.0s to 3.6s"], "answer": "C) 0.0s to 1.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 3.0s to 4.6s", "B) 1.0s to 2.6s", "C) 0.0s to 1.6s", "D) 2.0s to 3.6s"], "answer": "C) 0.0s to 1.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 7.6s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 20.2s to 21.8s", "B) 17.2s to 18.8s", "C) 18.2s to 19.8s", "D) 19.2s to 20.8s"], "answer": "C) 18.2s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 7.6s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 3.0s to 7.8s", "B) 1.0s to 5.8s", "C) 2.0s to 6.8s", "D) 0.0s to 4.8s"], "answer": "D) 0.0s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 18.2s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 1.0s to 5.8s", "B) 0.0s to 4.8s", "C) 2.0s to 6.8s", "D) 3.0s to 7.8s"], "answer": "B) 0.0s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 15.6s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 19.8s to 21.2s", "B) 17.8s to 19.2s", "C) 16.8s to 18.2s", "D) 18.8s to 20.2s"], "answer": "B) 17.8s to 19.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 8.2s to 11.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 12.8s to 15.4s", "B) 15.8s to 18.4s", "C) 14.8s to 17.4s", "D) 13.8s to 16.4s"], "answer": "D) 13.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 17.8s to 19.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 14.8s to 17.4s", "B) 15.8s to 18.4s", "C) 13.8s to 16.4s", "D) 12.8s to 15.4s"], "answer": "C) 13.8s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'telephone' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'telephone' in Video 2.", "options": ["A) 17.2s to 18.6s", "B) 20.2s to 21.6s", "C) 19.2s to 20.6s", "D) 18.2s to 19.6s"], "answer": "D) 18.2s to 19.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'telephone' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'telephone' in Video 2.", "options": ["A) 14.0s to 17.6s", "B) 12.0s to 15.6s", "C) 15.0s to 18.6s", "D) 13.0s to 16.6s"], "answer": "D) 13.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'telephone' is clearly visible from 18.2s to 19.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'telephone' in Video 2.", "options": ["A) 13.0s to 16.6s", "B) 15.0s to 18.6s", "C) 14.0s to 17.6s", "D) 12.0s to 15.6s"], "answer": "A) 13.0s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 6.2s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 12.8s to 14.4s", "B) 9.8s to 11.4s", "C) 11.8s to 13.4s", "D) 10.8s to 12.4s"], "answer": "D) 10.8s to 12.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 6.2s to 7.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 11.8s to 13.4s", "B) 9.8s to 11.4s", "C) 10.8s to 12.4s", "D) 12.8s to 14.4s"], "answer": "C) 10.8s to 12.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'pillar' is clearly visible from 11.2s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'pillar' in Video 2.", "options": ["A) 12.4s to 14.0s", "B) 13.4s to 15.0s", "C) 11.4s to 13.0s", "D) 10.4s to 12.0s"], "answer": "C) 11.4s to 13.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 11.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 11.6s to 14.4s", "B) 9.6s to 12.4s", "C) 12.6s to 15.4s", "D) 10.6s to 13.4s"], "answer": "D) 10.6s to 13.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 11.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 12.6s to 15.6s", "B) 9.6s to 12.6s", "C) 10.6s to 13.6s", "D) 11.6s to 14.6s"], "answer": "C) 10.6s to 13.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 11.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 9.6s to 12.6s", "B) 10.6s to 13.6s", "C) 12.6s to 15.6s", "D) 11.6s to 14.6s"], "answer": "B) 10.6s to 13.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 11.2s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 12.8s to 16.2s", "B) 11.8s to 15.2s", "C) 9.8s to 13.2s", "D) 10.8s to 14.2s"], "answer": "D) 10.8s to 14.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 11.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 12.8s to 15.8s", "B) 11.8s to 14.8s", "C) 10.8s to 13.8s", "D) 9.8s to 12.8s"], "answer": "C) 10.8s to 13.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 11.4s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 12.0s to 14.8s", "B) 13.0s to 15.8s", "C) 10.0s to 12.8s", "D) 11.0s to 13.8s"], "answer": "D) 11.0s to 13.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 11.4s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 12.2s to 14.8s", "B) 11.2s to 13.8s", "C) 13.2s to 15.8s", "D) 10.2s to 12.8s"], "answer": "B) 11.2s to 13.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 11.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 10.0s to 13.2s", "B) 13.0s to 16.2s", "C) 12.0s to 15.2s", "D) 11.0s to 14.2s"], "answer": "D) 11.0s to 14.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'desk' is clearly visible from 11.2s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'desk' in Video 2.", "options": ["A) 12.8s to 16.2s", "B) 11.8s to 15.2s", "C) 10.8s to 14.2s", "D) 9.8s to 13.2s"], "answer": "C) 10.8s to 14.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 14.2s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.4s to 3.8s", "B) 4.4s to 5.8s", "C) 5.4s to 6.8s", "D) 3.4s to 4.8s"], "answer": "D) 3.4s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.4s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 11.4s to 15.8s", "B) 12.4s to 16.8s", "C) 13.4s to 17.8s", "D) 14.4s to 18.8s"], "answer": "B) 12.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 3.4s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 11.4s to 15.8s", "B) 12.4s to 16.8s", "C) 13.4s to 17.8s", "D) 14.4s to 18.8s"], "answer": "B) 12.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 3.8s to 6.0s", "B) 1.8s to 4.0s", "C) 4.8s to 7.0s", "D) 2.8s to 5.0s"], "answer": "D) 2.8s to 5.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 14.6s to 18.6s", "B) 13.6s to 17.6s", "C) 12.6s to 16.6s", "D) 11.6s to 15.6s"], "answer": "C) 12.6s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 18.6s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 13.6s to 17.6s", "B) 12.6s to 16.6s", "C) 14.6s to 18.6s", "D) 11.6s to 15.6s"], "answer": "B) 12.6s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 14.2s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 2.2s to 4.8s", "B) 4.2s to 6.8s", "C) 3.2s to 5.8s", "D) 1.2s to 3.8s"], "answer": "A) 2.2s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 14.2s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 3.4s to 4.4s", "B) 4.4s to 5.4s", "C) 5.4s to 6.4s", "D) 6.4s to 7.4s"], "answer": "B) 4.4s to 5.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 19.2s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 4.4s to 5.4s", "B) 5.4s to 6.4s", "C) 3.4s to 4.4s", "D) 6.4s to 7.4s"], "answer": "A) 4.4s to 5.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 7.4s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 3.6s to 5.8s", "B) 4.6s to 6.8s", "C) 2.6s to 4.8s", "D) 1.6s to 3.8s"], "answer": "C) 2.6s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 7.4s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 4.2s to 5.6s", "B) 5.2s to 6.6s", "C) 3.2s to 4.6s", "D) 6.2s to 7.6s"], "answer": "A) 4.2s to 5.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'lamp' is clearly visible from 19.2s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'lamp' in Video 2.", "options": ["A) 3.2s to 4.6s", "B) 5.2s to 6.6s", "C) 4.2s to 5.6s", "D) 6.2s to 7.6s"], "answer": "C) 4.2s to 5.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 7.2s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 12.2s to 16.8s", "B) 14.2s to 18.8s", "C) 11.2s to 15.8s", "D) 13.2s to 17.8s"], "answer": "A) 12.2s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 7.2s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 17.8s to 18.8s", "B) 20.8s to 21.8s", "C) 19.8s to 20.8s", "D) 18.8s to 19.8s"], "answer": "D) 18.8s to 19.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 7.2s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 11.2s to 16.0s", "B) 14.2s to 19.0s", "C) 12.2s to 17.0s", "D) 13.2s to 18.0s"], "answer": "C) 12.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 12.2s to 17.0s", "B) 11.2s to 16.0s", "C) 13.2s to 18.0s", "D) 14.2s to 19.0s"], "answer": "A) 12.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 8.0s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 4.8s to 10.2s", "B) 1.8s to 7.2s", "C) 2.8s to 8.2s", "D) 3.8s to 9.2s"], "answer": "C) 2.8s to 8.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 8.0s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 3.0s to 3.8s", "B) 4.0s to 4.8s", "C) 6.0s to 6.8s", "D) 5.0s to 5.8s"], "answer": "B) 4.0s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 2.8s to 8.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 3.0s to 3.8s", "B) 4.0s to 4.8s", "C) 5.0s to 5.8s", "D) 6.0s to 6.8s"], "answer": "B) 4.0s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 8.0s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 3.0s to 9.2s", "B) 5.0s to 11.2s", "C) 2.0s to 8.2s", "D) 4.0s to 10.2s"], "answer": "A) 3.0s to 9.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 8.0s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 14.4s to 17.4s", "B) 12.4s to 15.4s", "C) 13.4s to 16.4s", "D) 15.4s to 18.4s"], "answer": "C) 13.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 3.0s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 12.4s to 15.4s", "B) 14.4s to 17.4s", "C) 15.4s to 18.4s", "D) 13.4s to 16.4s"], "answer": "D) 13.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.8s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 2.8s to 10.2s", "B) 0.8s to 8.2s", "C) 1.8s to 9.2s", "D) 3.8s to 11.2s"], "answer": "C) 1.8s to 9.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.8s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 13.0s to 16.4s", "B) 12.0s to 15.4s", "C) 15.0s to 18.4s", "D) 14.0s to 17.4s"], "answer": "A) 13.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 1.8s to 9.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 12.0s to 15.4s", "B) 14.0s to 17.4s", "C) 15.0s to 18.4s", "D) 13.0s to 16.4s"], "answer": "D) 13.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 7.8s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 3.0s to 5.6s", "B) 1.0s to 3.6s", "C) 2.0s to 4.6s", "D) 0.0s to 2.6s"], "answer": "D) 0.0s to 2.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 14.0s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 12.0s to 15.4s", "B) 15.0s to 18.4s", "C) 13.0s to 16.4s", "D) 14.0s to 17.4s"], "answer": "C) 13.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 0.0s to 2.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 12.0s to 15.4s", "B) 14.0s to 17.4s", "C) 15.0s to 18.4s", "D) 13.0s to 16.4s"], "answer": "D) 13.0s to 16.4s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 7.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 2.0s to 4.8s", "B) 4.0s to 6.8s", "C) 1.0s to 3.8s", "D) 3.0s to 5.8s"], "answer": "A) 2.0s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 7.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 14.4s to 18.8s", "B) 12.4s to 16.8s", "C) 11.4s to 15.8s", "D) 13.4s to 17.8s"], "answer": "B) 12.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 2.0s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 12.4s to 16.8s", "B) 14.4s to 18.8s", "C) 13.4s to 17.8s", "D) 11.4s to 15.8s"], "answer": "A) 12.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 7.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 3.8s to 6.8s", "B) 2.8s to 5.8s", "C) 0.8s to 3.8s", "D) 1.8s to 4.8s"], "answer": "D) 1.8s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 7.4s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 11.4s to 15.8s", "B) 13.4s to 17.8s", "C) 14.4s to 18.8s", "D) 12.4s to 16.8s"], "answer": "D) 12.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'vase' is clearly visible from 18.8s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'vase' in Video 2.", "options": ["A) 14.4s to 18.8s", "B) 11.4s to 15.8s", "C) 13.4s to 17.8s", "D) 12.4s to 16.8s"], "answer": "D) 12.4s to 16.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 7.2s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 4.4s to 6.8s", "B) 3.4s to 5.8s", "C) 1.4s to 3.8s", "D) 2.4s to 4.8s"], "answer": "D) 2.4s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 7.2s to 10.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 11.2s to 16.0s", "B) 12.2s to 17.0s", "C) 13.2s to 18.0s", "D) 14.2s to 19.0s"], "answer": "B) 12.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rack' is clearly visible from 2.4s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'rack' in Video 2.", "options": ["A) 12.2s to 17.0s", "B) 14.2s to 19.0s", "C) 11.2s to 16.0s", "D) 13.2s to 18.0s"], "answer": "A) 12.2s to 17.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.2s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 2.4s to 7.0s", "B) 1.4s to 6.0s", "C) 3.4s to 8.0s", "D) 0.4s to 5.0s"], "answer": "D) 0.4s to 5.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 10.2s to 11.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 15.4s to 16.6s", "B) 16.4s to 17.6s", "C) 14.4s to 15.6s", "D) 17.4s to 18.6s"], "answer": "A) 15.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chair' is clearly visible from 0.4s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'chair' in Video 2.", "options": ["A) 15.4s to 16.6s", "B) 16.4s to 17.6s", "C) 14.4s to 15.6s", "D) 17.4s to 18.6s"], "answer": "A) 15.4s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'monitor' is clearly visible from 9.4s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'monitor' in Video 2.", "options": ["A) 0.2s to 4.0s", "B) 3.2s to 7.0s", "C) 2.2s to 6.0s", "D) 1.2s to 5.0s"], "answer": "D) 1.2s to 5.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'monitor' is clearly visible from 14.2s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'monitor' in Video 2.", "options": ["A) 13.6s to 15.6s", "B) 16.6s to 18.6s", "C) 14.6s to 16.6s", "D) 15.6s to 17.6s"], "answer": "C) 14.6s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'monitor' is clearly visible from 19.2s to 19.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'monitor' in Video 2.", "options": ["A) 16.6s to 18.6s", "B) 15.6s to 17.6s", "C) 14.6s to 16.6s", "D) 13.6s to 15.6s"], "answer": "C) 14.6s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'monitor' is clearly visible from 10.0s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'monitor' in Video 2.", "options": ["A) 5.6s to 6.8s", "B) 3.6s to 4.8s", "C) 2.6s to 3.8s", "D) 4.6s to 5.8s"], "answer": "B) 3.6s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'monitor' is clearly visible from 10.0s to 10.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'monitor' in Video 2.", "options": ["A) 14.2s to 15.6s", "B) 15.2s to 16.6s", "C) 17.2s to 18.6s", "D) 16.2s to 17.6s"], "answer": "B) 15.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'monitor' is clearly visible from 3.6s to 4.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'monitor' in Video 2.", "options": ["A) 16.2s to 17.6s", "B) 14.2s to 15.6s", "C) 15.2s to 16.6s", "D) 17.2s to 18.6s"], "answer": "C) 15.2s to 16.6s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 14.2s to 14.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 1.8s to 6.0s", "B) 0.8s to 5.0s", "C) 3.8s to 8.0s", "D) 2.8s to 7.0s"], "answer": "B) 0.8s to 5.0s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 7.6s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 4.4s to 4.8s", "B) 6.4s to 6.8s", "C) 5.4s to 5.8s", "D) 3.4s to 3.8s"], "answer": "A) 4.4s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'partition' is clearly visible from 0.8s to 5.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'partition' in Video 2.", "options": ["A) 4.4s to 4.8s", "B) 3.4s to 3.8s", "C) 5.4s to 5.8s", "D) 6.4s to 6.8s"], "answer": "A) 4.4s to 4.8s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window curtain' is clearly visible from 9.4s to 15.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window curtain' in Video 2.", "options": ["A) 6.4s to 10.2s", "B) 5.4s to 9.2s", "C) 4.4s to 8.2s", "D) 7.4s to 11.2s"], "answer": "B) 5.4s to 9.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window curtain' is clearly visible from 9.4s to 15.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window curtain' in Video 2.", "options": ["A) 13.8s to 15.2s", "B) 16.8s to 18.2s", "C) 15.8s to 17.2s", "D) 14.8s to 16.2s"], "answer": "D) 14.8s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam0/cam0.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window curtain' is clearly visible from 16.6s to 19.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'window curtain' in Video 2.", "options": ["A) 13.8s to 15.2s", "B) 15.8s to 17.2s", "C) 16.8s to 18.2s", "D) 14.8s to 16.2s"], "answer": "D) 14.8s to 16.2s", "videos": ["dataset/habitat_data/general/val/yr17PDCnDDW/cam1/cam1.mp4", "dataset/habitat_data/general/val/yr17PDCnDDW/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chandelier' is clearly visible from 12.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chandelier' in Video 2.", "options": ["A) 8.0s to 9.6s", "B) 9.0s to 10.6s", "C) 7.0s to 8.6s", "D) 6.0s to 7.6s"], "answer": "C) 7.0s to 8.6s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chandelier' is clearly visible from 12.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'chandelier' in Video 2.", "options": ["A) 11.6s to 14.2s", "B) 13.6s to 16.2s", "C) 12.6s to 15.2s", "D) 10.6s to 13.2s"], "answer": "A) 11.6s to 14.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chandelier' is clearly visible from 7.0s to 8.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'chandelier' in Video 2.", "options": ["A) 10.6s to 13.2s", "B) 11.6s to 14.2s", "C) 12.6s to 15.2s", "D) 13.6s to 16.2s"], "answer": "B) 11.6s to 14.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'rug' is clearly visible from 7.8s to 15.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'rug' in Video 2.", "options": ["A) 7.8s to 11.4s", "B) 8.8s to 12.4s", "C) 9.8s to 13.4s", "D) 10.8s to 14.4s"], "answer": "B) 8.8s to 12.4s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 11.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 10.4s to 11.4s", "B) 7.4s to 8.4s", "C) 8.4s to 9.4s", "D) 9.4s to 10.4s"], "answer": "C) 8.4s to 9.4s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 11.4s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 9.4s to 12.8s", "B) 10.4s to 13.8s", "C) 12.4s to 15.8s", "D) 11.4s to 14.8s"], "answer": "B) 10.4s to 13.8s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 8.4s to 9.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 9.4s to 12.8s", "B) 12.4s to 15.8s", "C) 10.4s to 13.8s", "D) 11.4s to 14.8s"], "answer": "C) 10.4s to 13.8s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bowl of fruit' is clearly visible from 12.8s to 16.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'bowl of fruit' in Video 2.", "options": ["A) 11.6s to 14.2s", "B) 13.6s to 16.2s", "C) 10.6s to 13.2s", "D) 12.6s to 15.2s"], "answer": "A) 11.6s to 14.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'coffee table' is clearly visible from 12.4s to 15.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'coffee table' in Video 2.", "options": ["A) 11.4s to 14.2s", "B) 12.4s to 15.2s", "C) 10.4s to 13.2s", "D) 13.4s to 16.2s"], "answer": "A) 11.4s to 14.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 6.6s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 9.4s to 11.2s", "B) 11.4s to 13.2s", "C) 10.4s to 12.2s", "D) 8.4s to 10.2s"], "answer": "A) 9.4s to 11.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 6.6s to 16.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 8.2s to 13.0s", "B) 9.2s to 14.0s", "C) 6.2s to 11.0s", "D) 7.2s to 12.0s"], "answer": "D) 7.2s to 12.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 9.4s to 11.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 9.2s to 14.0s", "B) 6.2s to 11.0s", "C) 7.2s to 12.0s", "D) 8.2s to 13.0s"], "answer": "C) 7.2s to 12.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 11.0s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 2.2s to 2.8s", "B) 3.2s to 3.8s", "C) 1.2s to 1.8s", "D) 0.2s to 0.8s"], "answer": "C) 1.2s to 1.8s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 11.0s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 11.8s to 14.2s", "B) 12.8s to 15.2s", "C) 13.8s to 16.2s", "D) 10.8s to 13.2s"], "answer": "A) 11.8s to 14.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'sofa' is clearly visible from 5.2s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'sofa' in Video 2.", "options": ["A) 13.8s to 16.2s", "B) 10.8s to 13.2s", "C) 12.8s to 15.2s", "D) 11.8s to 14.2s"], "answer": "D) 11.8s to 14.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 14.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 8.4s to 9.2s", "B) 7.4s to 8.2s", "C) 9.4s to 10.2s", "D) 6.4s to 7.2s"], "answer": "B) 7.4s to 8.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 14.2s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 11.2s to 13.0s", "B) 12.2s to 14.0s", "C) 13.2s to 15.0s", "D) 14.2s to 16.0s"], "answer": "B) 12.2s to 14.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'plant' is clearly visible from 7.4s to 8.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'plant' in Video 2.", "options": ["A) 13.2s to 15.0s", "B) 11.2s to 13.0s", "C) 12.2s to 14.0s", "D) 14.2s to 16.0s"], "answer": "C) 12.2s to 14.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 13.0s to 15.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 1.8s to 3.2s", "B) 2.8s to 4.2s", "C) 3.8s to 5.2s", "D) 4.8s to 6.2s"], "answer": "B) 2.8s to 4.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 2.4s to 3.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 14.6s to 17.6s", "B) 12.6s to 15.6s", "C) 13.6s to 16.6s", "D) 15.6s to 18.6s"], "answer": "C) 13.6s to 16.6s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 2.4s to 3.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 2.4s to 4.2s", "B) 1.4s to 3.2s", "C) 4.4s to 6.2s", "D) 3.4s to 5.2s"], "answer": "A) 2.4s to 4.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'stool' is clearly visible from 13.6s to 16.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'stool' in Video 2.", "options": ["A) 1.4s to 3.2s", "B) 2.4s to 4.2s", "C) 4.4s to 6.2s", "D) 3.4s to 5.2s"], "answer": "B) 2.4s to 4.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 13.6s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 2.8s to 3.6s", "B) 3.8s to 4.6s", "C) 4.8s to 5.6s", "D) 1.8s to 2.6s"], "answer": "A) 2.8s to 3.6s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 1.8s to 3.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 16.0s to 17.0s", "B) 14.0s to 15.0s", "C) 15.0s to 16.0s", "D) 13.0s to 14.0s"], "answer": "B) 14.0s to 15.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 1.8s to 3.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 1.8s to 4.6s", "B) 3.8s to 6.6s", "C) 2.8s to 5.6s", "D) 0.8s to 3.6s"], "answer": "A) 1.8s to 4.6s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 14.0s to 15.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 3.8s to 6.6s", "B) 2.8s to 5.6s", "C) 0.8s to 3.6s", "D) 1.8s to 4.6s"], "answer": "D) 1.8s to 4.6s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 2.0s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 12.6s to 15.8s", "B) 13.6s to 16.8s", "C) 14.6s to 17.8s", "D) 15.6s to 18.8s"], "answer": "B) 13.6s to 16.8s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 2.0s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 2.0s to 4.4s", "B) 1.0s to 3.4s", "C) 3.0s to 5.4s", "D) 4.0s to 6.4s"], "answer": "A) 2.0s to 4.4s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 13.6s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 2.0s to 4.4s", "B) 3.0s to 5.4s", "C) 1.0s to 3.4s", "D) 4.0s to 6.4s"], "answer": "A) 2.0s to 4.4s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 1.6s to 4.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 14.0s to 16.8s", "B) 16.0s to 18.8s", "C) 15.0s to 17.8s", "D) 13.0s to 15.8s"], "answer": "A) 14.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 1.6s to 4.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 2.4s to 6.0s", "B) 3.4s to 7.0s", "C) 0.4s to 4.0s", "D) 1.4s to 5.0s"], "answer": "D) 1.4s to 5.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'armchair' is clearly visible from 14.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'armchair' in Video 2.", "options": ["A) 1.4s to 5.0s", "B) 2.4s to 6.0s", "C) 0.4s to 4.0s", "D) 3.4s to 7.0s"], "answer": "A) 1.4s to 5.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 4.0s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 18.2s to 19.0s", "B) 16.2s to 17.0s", "C) 17.2s to 18.0s", "D) 19.2s to 20.0s"], "answer": "C) 17.2s to 18.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 4.0s to 7.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.4s to 10.4s", "B) 6.4s to 13.4s", "C) 5.4s to 12.4s", "D) 4.4s to 11.4s"], "answer": "D) 4.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 17.2s to 18.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.4s to 10.4s", "B) 5.4s to 12.4s", "C) 6.4s to 13.4s", "D) 4.4s to 11.4s"], "answer": "D) 4.4s to 11.4s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 2.8s to 4.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 13.4s to 13.8s", "B) 14.4s to 14.8s", "C) 12.4s to 12.8s", "D) 15.4s to 15.8s"], "answer": "A) 13.4s to 13.8s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 2.8s to 4.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 3.8s to 6.2s", "B) 2.8s to 5.2s", "C) 1.8s to 4.2s", "D) 4.8s to 7.2s"], "answer": "B) 2.8s to 5.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 13.4s to 13.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 1.8s to 4.2s", "B) 2.8s to 5.2s", "C) 4.8s to 7.2s", "D) 3.8s to 6.2s"], "answer": "B) 2.8s to 5.2s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 15.2s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 4.0s to 5.6s", "B) 2.0s to 3.6s", "C) 1.0s to 2.6s", "D) 3.0s to 4.6s"], "answer": "B) 2.0s to 3.6s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 15.2s to 17.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.2s to 13.0s", "B) 13.2s to 14.0s", "C) 14.2s to 15.0s", "D) 15.2s to 16.0s"], "answer": "B) 13.2s to 14.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 2.0s to 3.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 13.2s to 14.0s", "B) 14.2s to 15.0s", "C) 12.2s to 13.0s", "D) 15.2s to 16.0s"], "answer": "A) 13.2s to 14.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 0.0s to 0.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 2.0s to 2.8s", "B) 0.0s to 0.8s", "C) 3.0s to 3.8s", "D) 1.0s to 1.8s"], "answer": "B) 0.0s to 0.8s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 0.8s to 2.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 15.4s to 16.4s", "B) 17.4s to 18.4s", "C) 16.4s to 17.4s", "D) 14.4s to 15.4s"], "answer": "A) 15.4s to 16.4s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 0.8s to 2.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 1.6s to 3.0s", "B) 3.6s to 5.0s", "C) 0.6s to 2.0s", "D) 2.6s to 4.0s"], "answer": "C) 0.6s to 2.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 15.4s to 16.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.6s to 5.0s", "B) 2.6s to 4.0s", "C) 0.6s to 2.0s", "D) 1.6s to 3.0s"], "answer": "C) 0.6s to 2.0s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 1.0s to 3.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 13.6s to 15.8s", "B) 15.6s to 17.8s", "C) 16.6s to 18.8s", "D) 14.6s to 16.8s"], "answer": "D) 14.6s to 16.8s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 1.0s to 3.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 0.8s to 3.6s", "B) 3.8s to 6.6s", "C) 2.8s to 5.6s", "D) 1.8s to 4.6s"], "answer": "A) 0.8s to 3.6s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 14.6s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 0.8s to 3.6s", "B) 2.8s to 5.6s", "C) 3.8s to 6.6s", "D) 1.8s to 4.6s"], "answer": "A) 0.8s to 3.6s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'kitchen counter' is clearly visible from 12.2s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'kitchen counter' in Video 2.", "options": ["A) 4.6s to 11.8s", "B) 2.6s to 9.8s", "C) 3.6s to 10.8s", "D) 1.6s to 8.8s"], "answer": "B) 2.6s to 9.8s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 5.0s to 12.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 4.6s to 6.4s", "B) 5.6s to 7.4s", "C) 6.6s to 8.4s", "D) 7.6s to 9.4s"], "answer": "B) 5.6s to 7.4s", "videos": ["dataset/habitat_data/general/val/ziup5kvtCCR/cam0/cam0.mp4", "dataset/habitat_data/general/val/ziup5kvtCCR/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 16.4s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 3.0s to 3.8s", "B) 0.0s to 0.8s", "C) 2.0s to 2.8s", "D) 1.0s to 1.8s"], "answer": "D) 1.0s to 1.8s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 16.4s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 1.0s to 1.8s", "B) 4.0s to 4.8s", "C) 2.0s to 2.8s", "D) 3.0s to 3.8s"], "answer": "C) 2.0s to 2.8s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'mirror' is clearly visible from 16.6s to 17.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'mirror' in Video 2.", "options": ["A) 0.4s to 1.4s", "B) 3.4s to 4.4s", "C) 1.4s to 2.4s", "D) 2.4s to 3.4s"], "answer": "A) 0.4s to 1.4s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'cabinet' is clearly visible from 10.6s to 13.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'cabinet' in Video 2.", "options": ["A) 12.0s to 18.4s", "B) 13.0s to 19.4s", "C) 11.0s to 17.4s", "D) 10.0s to 16.4s"], "answer": "C) 11.0s to 17.4s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 18.0s to 18.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 17.0s to 20.2s", "B) 15.0s to 18.2s", "C) 14.0s to 17.2s", "D) 16.0s to 19.2s"], "answer": "B) 15.0s to 18.2s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 9.2s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 10.8s to 18.2s", "B) 8.8s to 16.2s", "C) 11.8s to 19.2s", "D) 9.8s to 17.2s"], "answer": "D) 9.8s to 17.2s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 9.2s to 17.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 5.4s to 7.4s", "B) 3.4s to 5.4s", "C) 4.4s to 6.4s", "D) 2.4s to 4.4s"], "answer": "B) 3.4s to 5.4s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 9.8s to 17.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 5.4s to 7.4s", "B) 3.4s to 5.4s", "C) 4.4s to 6.4s", "D) 2.4s to 4.4s"], "answer": "B) 3.4s to 5.4s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 8.8s to 14.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 10.0s to 17.8s", "B) 8.0s to 15.8s", "C) 9.0s to 16.8s", "D) 11.0s to 18.8s"], "answer": "C) 9.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 8.8s to 14.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 5.8s to 7.0s", "B) 4.8s to 6.0s", "C) 2.8s to 4.0s", "D) 3.8s to 5.0s"], "answer": "D) 3.8s to 5.0s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'bed' is clearly visible from 9.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'bed' in Video 2.", "options": ["A) 2.8s to 4.0s", "B) 3.8s to 5.0s", "C) 5.8s to 7.0s", "D) 4.8s to 6.0s"], "answer": "B) 3.8s to 5.0s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chandelier' is clearly visible from 8.8s to 14.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chandelier' in Video 2.", "options": ["A) 11.0s to 18.8s", "B) 9.0s to 16.8s", "C) 8.0s to 15.8s", "D) 10.0s to 17.8s"], "answer": "B) 9.0s to 16.8s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chandelier' is clearly visible from 8.8s to 14.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'chandelier' in Video 2.", "options": ["A) 3.8s to 4.6s", "B) 4.8s to 5.6s", "C) 2.8s to 3.6s", "D) 5.8s to 6.6s"], "answer": "A) 3.8s to 4.6s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'chandelier' is clearly visible from 9.0s to 16.8s. Select the correct timestamp window for the FIRST appearance of the exact same 'chandelier' in Video 2.", "options": ["A) 4.8s to 5.6s", "B) 5.8s to 6.6s", "C) 2.8s to 3.6s", "D) 3.8s to 4.6s"], "answer": "D) 3.8s to 4.6s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 9.0s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 4.0s to 5.0s", "B) 6.0s to 7.0s", "C) 5.0s to 6.0s", "D) 3.0s to 4.0s"], "answer": "A) 4.0s to 5.0s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 11.0s to 14.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 9.6s to 15.4s", "B) 8.6s to 14.4s", "C) 11.6s to 17.4s", "D) 10.6s to 16.4s"], "answer": "A) 9.6s to 15.4s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 8.8s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 10.4s to 11.2s", "B) 9.4s to 10.2s", "C) 11.4s to 12.2s", "D) 8.4s to 9.2s"], "answer": "B) 9.4s to 10.2s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 8.8s to 9.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 11.2s to 12.0s", "B) 13.2s to 14.0s", "C) 12.2s to 13.0s", "D) 10.2s to 11.0s"], "answer": "A) 11.2s to 12.0s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 9.4s to 10.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 11.2s to 12.0s", "B) 10.2s to 11.0s", "C) 13.2s to 14.0s", "D) 12.2s to 13.0s"], "answer": "A) 11.2s to 12.0s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 12.2s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 8.2s to 9.4s", "B) 9.2s to 10.4s", "C) 10.2s to 11.4s", "D) 11.2s to 12.4s"], "answer": "B) 9.2s to 10.4s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 12.2s to 14.2s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 4.8s to 5.6s", "B) 3.8s to 4.6s", "C) 2.8s to 3.6s", "D) 5.8s to 6.6s"], "answer": "B) 3.8s to 4.6s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'window' is clearly visible from 9.2s to 10.4s. Select the correct timestamp window for the FIRST appearance of the exact same 'window' in Video 2.", "options": ["A) 5.8s to 6.6s", "B) 4.8s to 5.6s", "C) 3.8s to 4.6s", "D) 2.8s to 3.6s"], "answer": "C) 3.8s to 4.6s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam2/cam2.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'curtain' is clearly visible from 9.2s to 10.0s. Select the correct timestamp window for the FIRST appearance of the exact same 'curtain' in Video 2.", "options": ["A) 10.6s to 11.6s", "B) 8.6s to 9.6s", "C) 9.6s to 10.6s", "D) 11.6s to 12.6s"], "answer": "C) 9.6s to 10.6s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Habitat_Object_Re_identification", "question": "You are provided with two videos recorded at {fps} FPS. In Video 1, the 'door' is clearly visible from 10.0s to 12.6s. Select the correct timestamp window for the FIRST appearance of the exact same 'door' in Video 2.", "options": ["A) 12.2s to 13.6s", "B) 9.2s to 10.6s", "C) 11.2s to 12.6s", "D) 10.2s to 11.6s"], "answer": "D) 10.2s to 11.6s", "videos": ["dataset/habitat_data/general/val/zt1RVoi7PcG/cam0/cam0.mp4", "dataset/habitat_data/general/val/zt1RVoi7PcG/cam1/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Brown Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Brown Metal Cube in the 3D space?", "options": ["A) Huge Purple Cylinder", "B) Large Green Rubber Sphere", "C) Tiny Black Cylinder", "D) Small Green Sphere"], "answer": "B) Large Green Rubber Sphere", "videos": ["dataset/kubric_data/scene_1026/cam0.mp4", "dataset/kubric_data/scene_1026/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Gray Metal Cylinder in the 3D space?", "options": ["A) Tiny Black Cube", "B) Small Red Rubber Cube", "C) Large White Cube", "D) Tiny Black Cylinder"], "answer": "B) Small Red Rubber Cube", "videos": ["dataset/kubric_data/scene_1037/cam0.mp4", "dataset/kubric_data/scene_1037/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Yellow Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Green Rubber Cylinder in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Huge Purple Sphere", "C) Huge Purple Cylinder", "D) Small Blue Rubber Cube"], "answer": "D) Small Blue Rubber Cube", "videos": ["dataset/kubric_data/scene_1046/cam0.mp4", "dataset/kubric_data/scene_1046/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Red Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Green Metal Cylinder in the 3D space?", "options": ["A) Small Purple Rubber Sphere", "B) Small Green Sphere", "C) Huge Purple Sphere", "D) Tiny Black Sphere"], "answer": "A) Small Purple Rubber Sphere", "videos": ["dataset/kubric_data/scene_1063/cam0.mp4", "dataset/kubric_data/scene_1063/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Brown Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Red Metal Cube in the 3D space?", "options": ["A) Small Gray Rubber Cylinder", "B) Large White Cylinder", "C) Tiny Black Cube", "D) Huge Purple Cube"], "answer": "A) Small Gray Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1080/cam0.mp4", "dataset/kubric_data/scene_1080/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Green Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Green Metal Cylinder in the 3D space?", "options": ["A) Small Green Cylinder", "B) Small Yellow Metal Cube", "C) Huge Purple Cube", "D) Small Green Sphere"], "answer": "B) Small Yellow Metal Cube", "videos": ["dataset/kubric_data/scene_1105/cam0.mp4", "dataset/kubric_data/scene_1105/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Blue Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Blue Metal Cube in the 3D space?", "options": ["A) Small Green Cube", "B) Small Red Metal Sphere", "C) Large White Cylinder", "D) Large White Sphere"], "answer": "B) Small Red Metal Sphere", "videos": ["dataset/kubric_data/scene_1122/cam0.mp4", "dataset/kubric_data/scene_1122/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Brown Metal Sphere in the 3D space?", "options": ["A) Huge Purple Cylinder", "B) Tiny Black Cube", "C) Large White Sphere", "D) Small Red Metal Cube"], "answer": "D) Small Red Metal Cube", "videos": ["dataset/kubric_data/scene_1167/cam0.mp4", "dataset/kubric_data/scene_1167/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Yellow Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Brown Rubber Cube in the 3D space?", "options": ["A) Large White Cube", "B) Small Cyan Metal Sphere", "C) Tiny Black Cylinder", "D) Small Green Cylinder"], "answer": "B) Small Cyan Metal Sphere", "videos": ["dataset/kubric_data/scene_1192/cam0.mp4", "dataset/kubric_data/scene_1192/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Blue Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Green Metal Sphere in the 3D space?", "options": ["A) Large White Cylinder", "B) Tiny Black Cube", "C) Large Brown Rubber Cylinder", "D) Large White Sphere"], "answer": "C) Large Brown Rubber Cylinder", "videos": ["dataset/kubric_data/scene_12/cam0.mp4", "dataset/kubric_data/scene_12/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Blue Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Gray Rubber Cube in the 3D space?", "options": ["A) Small Gray Rubber Cylinder", "B) Small Green Cube", "C) Huge Purple Cylinder", "D) Tiny Black Cylinder"], "answer": "A) Small Gray Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1202/cam0.mp4", "dataset/kubric_data/scene_1202/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Gray Rubber Cylinder in the 3D space?", "options": ["A) Huge Purple Cube", "B) Large Blue Rubber Cube", "C) Small Green Sphere", "D) Tiny Black Sphere"], "answer": "B) Large Blue Rubber Cube", "videos": ["dataset/kubric_data/scene_1231/cam0.mp4", "dataset/kubric_data/scene_1231/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Purple Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Gray Rubber Cube in the 3D space?", "options": ["A) Huge Purple Cube", "B) Huge Purple Cylinder", "C) Small Brown Metal Cylinder", "D) Tiny Black Cube"], "answer": "C) Small Brown Metal Cylinder", "videos": ["dataset/kubric_data/scene_1254/cam0.mp4", "dataset/kubric_data/scene_1254/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Brown Rubber Cube in the 3D space?", "options": ["A) Tiny Black Cube", "B) Tiny Black Sphere", "C) Small Green Metal Sphere", "D) Huge Purple Cylinder"], "answer": "C) Small Green Metal Sphere", "videos": ["dataset/kubric_data/scene_129/cam0.mp4", "dataset/kubric_data/scene_129/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Green Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Brown Rubber Cube in the 3D space?", "options": ["A) Large White Cube", "B) Small Green Cube", "C) Small Gray Metal Cylinder", "D) Huge Purple Cube"], "answer": "C) Small Gray Metal Cylinder", "videos": ["dataset/kubric_data/scene_129/cam0.mp4", "dataset/kubric_data/scene_129/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Blue Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Cyan Metal Cylinder in the 3D space?", "options": ["A) Large White Sphere", "B) Tiny Black Sphere", "C) Large White Cylinder", "D) Small Cyan Metal Cube"], "answer": "D) Small Cyan Metal Cube", "videos": ["dataset/kubric_data/scene_1290/cam0.mp4", "dataset/kubric_data/scene_1290/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Red Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Brown Metal Cube in the 3D space?", "options": ["A) Tiny Black Cube", "B) Large Blue Metal Sphere", "C) Huge Purple Sphere", "D) Small Green Cylinder"], "answer": "B) Large Blue Metal Sphere", "videos": ["dataset/kubric_data/scene_1301/cam0.mp4", "dataset/kubric_data/scene_1301/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Blue Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Brown Metal Cube in the 3D space?", "options": ["A) Small Green Cube", "B) Tiny Black Sphere", "C) Huge Purple Cube", "D) Small Red Rubber Cylinder"], "answer": "D) Small Red Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1301/cam0.mp4", "dataset/kubric_data/scene_1301/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Brown Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Green Metal Cube in the 3D space?", "options": ["A) Tiny Black Cube", "B) Large Cyan Rubber Cylinder", "C) Small Green Cylinder", "D) Large White Cube"], "answer": "B) Large Cyan Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1307/cam0.mp4", "dataset/kubric_data/scene_1307/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Yellow Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Green Rubber Cube in the 3D space?", "options": ["A) Small Green Sphere", "B) Tiny Black Sphere", "C) Large White Cylinder", "D) Large Blue Rubber Cylinder"], "answer": "D) Large Blue Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1314/cam0.mp4", "dataset/kubric_data/scene_1314/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Gray Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Yellow Metal Sphere in the 3D space?", "options": ["A) Large White Sphere", "B) Large Purple Rubber Cube", "C) Large White Cube", "D) Huge Purple Cylinder"], "answer": "B) Large Purple Rubber Cube", "videos": ["dataset/kubric_data/scene_1336/cam0.mp4", "dataset/kubric_data/scene_1336/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Purple Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Yellow Metal Sphere in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Small Green Cube", "C) Large Gray Metal Cylinder", "D) Small Green Cylinder"], "answer": "C) Large Gray Metal Cylinder", "videos": ["dataset/kubric_data/scene_1336/cam0.mp4", "dataset/kubric_data/scene_1336/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Yellow Rubber Cylinder in the 3D space?", "options": ["A) Small Gray Rubber Cube", "B) Small Green Cube", "C) Large White Cube", "D) Tiny Black Cylinder"], "answer": "A) Small Gray Rubber Cube", "videos": ["dataset/kubric_data/scene_1345/cam0.mp4", "dataset/kubric_data/scene_1345/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Cyan Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Blue Metal Cylinder in the 3D space?", "options": ["A) Tiny Black Cube", "B) Huge Purple Sphere", "C) Large Blue Metal Sphere", "D) Small Green Cube"], "answer": "C) Large Blue Metal Sphere", "videos": ["dataset/kubric_data/scene_1346/cam0.mp4", "dataset/kubric_data/scene_1346/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Cyan Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Red Metal Cube in the 3D space?", "options": ["A) Huge Purple Cylinder", "B) Small Red Metal Sphere", "C) Huge Purple Sphere", "D) Large White Cube"], "answer": "B) Small Red Metal Sphere", "videos": ["dataset/kubric_data/scene_1362/cam0.mp4", "dataset/kubric_data/scene_1362/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Blue Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Brown Metal Cylinder in the 3D space?", "options": ["A) Small Red Metal Sphere", "B) Small Green Cylinder", "C) Large White Cylinder", "D) Small Green Sphere"], "answer": "A) Small Red Metal Sphere", "videos": ["dataset/kubric_data/scene_137/cam0.mp4", "dataset/kubric_data/scene_137/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Brown Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Blue Rubber Cube in the 3D space?", "options": ["A) Large White Cylinder", "B) Huge Purple Cylinder", "C) Small Yellow Metal Cylinder", "D) Small Green Cube"], "answer": "C) Small Yellow Metal Cylinder", "videos": ["dataset/kubric_data/scene_1371/cam0.mp4", "dataset/kubric_data/scene_1371/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Blue Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Yellow Metal Cylinder in the 3D space?", "options": ["A) Small Green Cylinder", "B) Large White Sphere", "C) Small Blue Metal Sphere", "D) Tiny Black Sphere"], "answer": "C) Small Blue Metal Sphere", "videos": ["dataset/kubric_data/scene_1402/cam0.mp4", "dataset/kubric_data/scene_1402/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Yellow Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Red Metal Sphere in the 3D space?", "options": ["A) Tiny Black Sphere", "B) Tiny Black Cylinder", "C) Small Yellow Rubber Cube", "D) Small Green Cube"], "answer": "C) Small Yellow Rubber Cube", "videos": ["dataset/kubric_data/scene_1428/cam0.mp4", "dataset/kubric_data/scene_1428/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Blue Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Red Rubber Cube in the 3D space?", "options": ["A) Huge Purple Cylinder", "B) Small Green Cylinder", "C) Huge Purple Cube", "D) Small Purple Metal Sphere"], "answer": "D) Small Purple Metal Sphere", "videos": ["dataset/kubric_data/scene_143/cam0.mp4", "dataset/kubric_data/scene_143/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Cyan Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Purple Metal Cube in the 3D space?", "options": ["A) Large White Cylinder", "B) Small Yellow Metal Cylinder", "C) Small Green Cube", "D) Tiny Black Sphere"], "answer": "B) Small Yellow Metal Cylinder", "videos": ["dataset/kubric_data/scene_1432/cam0.mp4", "dataset/kubric_data/scene_1432/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Green Metal Cylinder in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Large White Cube", "C) Tiny Black Cube", "D) Large Blue Metal Sphere"], "answer": "D) Large Blue Metal Sphere", "videos": ["dataset/kubric_data/scene_1459/cam0.mp4", "dataset/kubric_data/scene_1459/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Cyan Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Brown Metal Cylinder in the 3D space?", "options": ["A) Small Green Cube", "B) Huge Purple Cylinder", "C) Large Red Metal Sphere", "D) Large White Cube"], "answer": "C) Large Red Metal Sphere", "videos": ["dataset/kubric_data/scene_1472/cam0.mp4", "dataset/kubric_data/scene_1472/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Large Metal Teapot", "C) Small Metal Sphere", "D) Small Metal Torus"], "answer": "A) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1502/cam0.mp4", "dataset/kubric_data/scene_1502/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Rubber Cylinder", "C) Large Metal Teapot", "D) Large Rubber Suzanne"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1502/cam0.mp4", "dataset/kubric_data/scene_1502/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Large Rubber Sponge", "C) Small Metal Torus", "D) Small Metal Sphere"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1502/cam0.mp4", "dataset/kubric_data/scene_1502/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Metal Gear", "C) Large Metal Cone", "D) Large Metal Sphere"], "answer": "A) Small Metal Cube", "videos": ["dataset/kubric_data/scene_1503/cam0.mp4", "dataset/kubric_data/scene_1503/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Metal Spot", "C) Large Metal Cone", "D) Large Metal Gear"], "answer": "A) Small Metal Cube", "videos": ["dataset/kubric_data/scene_1503/cam0.mp4", "dataset/kubric_data/scene_1503/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Metal Sphere", "B) Large Metal Gear", "C) Large Metal Spot", "D) Large Metal Cone"], "answer": "C) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1503/cam0.mp4", "dataset/kubric_data/scene_1503/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Small Metal Knot", "C) Small Metal Sponge", "D) Large Metal Cone"], "answer": "B) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1505/cam0.mp4", "dataset/kubric_data/scene_1505/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large Metal Spot", "B) Large Metal Cone", "C) Small Metal Sponge", "D) Small Metal Knot"], "answer": "D) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1505/cam0.mp4", "dataset/kubric_data/scene_1505/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large Metal Spot", "B) Small Metal Knot", "C) Small Metal Sponge", "D) Small Metal Suzanne"], "answer": "D) Small Metal Suzanne", "videos": ["dataset/kubric_data/scene_1505/cam0.mp4", "dataset/kubric_data/scene_1505/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Large Metal Spot", "C) Small Metal Knot", "D) Small Metal Sponge"], "answer": "A) Small Metal Suzanne", "videos": ["dataset/kubric_data/scene_1505/cam0.mp4", "dataset/kubric_data/scene_1505/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Large Metal Sphere", "B) Large Metal Cone", "C) Large Rubber Sponge", "D) Large Metal Gear"], "answer": "A) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_1519/cam0.mp4", "dataset/kubric_data/scene_1519/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Large Metal Gear", "B) Small Rubber Teapot", "C) Large Metal Sphere", "D) Small Rubber Cube"], "answer": "C) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_1519/cam0.mp4", "dataset/kubric_data/scene_1519/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Large Metal Sphere", "B) Small Rubber Teapot", "C) Large Rubber Sponge", "D) Large Metal Gear"], "answer": "A) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_1519/cam0.mp4", "dataset/kubric_data/scene_1519/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Small Metal Spot", "C) Small Rubber Sponge", "D) Small Metal Cone"], "answer": "B) Small Metal Spot", "videos": ["dataset/kubric_data/scene_1529/cam0.mp4", "dataset/kubric_data/scene_1529/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Small Metal Spot", "B) Small Rubber Sponge", "C) Small Rubber Torus", "D) Small Metal Cone"], "answer": "C) Small Rubber Torus", "videos": ["dataset/kubric_data/scene_1529/cam0.mp4", "dataset/kubric_data/scene_1529/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Rubber Sphere", "C) Small Rubber Spot", "D) Large Rubber Gear"], "answer": "C) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1530/cam0.mp4", "dataset/kubric_data/scene_1530/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Small Rubber Spot", "C) Small Rubber Sphere", "D) Large Metal Torus"], "answer": "C) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1530/cam0.mp4", "dataset/kubric_data/scene_1530/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Rubber Gear", "B) Large Metal Torus", "C) Large Rubber Cylinder", "D) Small Rubber Sphere"], "answer": "D) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1530/cam0.mp4", "dataset/kubric_data/scene_1530/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Rubber Spot", "C) Large Rubber Gear", "D) Tiny Black Cube"], "answer": "B) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1530/cam0.mp4", "dataset/kubric_data/scene_1530/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Large Rubber Knot", "B) Small Rubber Sphere", "C) Small Metal Spot", "D) Large Metal Torus"], "answer": "C) Small Metal Spot", "videos": ["dataset/kubric_data/scene_1531/cam0.mp4", "dataset/kubric_data/scene_1531/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Cone", "B) Small Rubber Gear", "C) Small Metal Knot", "D) Large Rubber Cube"], "answer": "B) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_1539/cam0.mp4", "dataset/kubric_data/scene_1539/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Small Metal Knot", "C) Small Rubber Spot", "D) Small Rubber Gear"], "answer": "D) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_1539/cam0.mp4", "dataset/kubric_data/scene_1539/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Gear", "B) Small Metal Knot", "C) Large Rubber Sphere", "D) Small Rubber Spot"], "answer": "A) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_1539/cam0.mp4", "dataset/kubric_data/scene_1539/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Gear", "B) Large Rubber Sphere", "C) Small Rubber Spot", "D) Small Metal Knot"], "answer": "A) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_1539/cam0.mp4", "dataset/kubric_data/scene_1539/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Metal Cone", "B) Small Rubber Sphere", "C) Small Metal Cube", "D) Large Rubber Knot"], "answer": "B) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1548/cam0.mp4", "dataset/kubric_data/scene_1548/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sphere in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Metal Cube", "C) Large Rubber Knot", "D) Large Metal Spot"], "answer": "D) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1548/cam0.mp4", "dataset/kubric_data/scene_1548/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Metal Spot", "C) Large Rubber Knot", "D) Small Rubber Sphere"], "answer": "C) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_1548/cam0.mp4", "dataset/kubric_data/scene_1548/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sphere in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Rubber Knot", "C) Large Metal Spot", "D) Large Metal Cone"], "answer": "D) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1548/cam0.mp4", "dataset/kubric_data/scene_1548/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Metal Suzanne in the 3D space?", "options": ["A) Large Metal Torus", "B) Large Metal Cylinder", "C) Small Metal Cube", "D) Large Rubber Sphere"], "answer": "B) Large Metal Cylinder", "videos": ["dataset/kubric_data/scene_1549/cam0.mp4", "dataset/kubric_data/scene_1549/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Suzanne in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Metal Cylinder", "C) Large Metal Torus", "D) Small Rubber Cone"], "answer": "B) Large Metal Cylinder", "videos": ["dataset/kubric_data/scene_1549/cam0.mp4", "dataset/kubric_data/scene_1549/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Purple Rubber Cylinder in the 3D space?", "options": ["A) Huge Purple Cube", "B) Huge Purple Cylinder", "C) Small Brown Metal Sphere", "D) Large White Sphere"], "answer": "C) Small Brown Metal Sphere", "videos": ["dataset/kubric_data/scene_156/cam0.mp4", "dataset/kubric_data/scene_156/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Torus in the 3D space?", "options": ["A) Large Rubber Spot", "B) Small Metal Cylinder", "C) Large Metal Cone", "D) Large Metal Teapot"], "answer": "B) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1568/cam0.mp4", "dataset/kubric_data/scene_1568/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Large White Cube", "B) Small Rubber Torus", "C) Small Metal Cylinder", "D) Large Metal Cone"], "answer": "D) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1568/cam0.mp4", "dataset/kubric_data/scene_1568/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Large Metal Teapot", "B) Huge Purple Cylinder", "C) Small Metal Cylinder", "D) Small Rubber Torus"], "answer": "A) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_1568/cam0.mp4", "dataset/kubric_data/scene_1568/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Rubber Spot", "C) Tiny Black Cylinder", "D) Large Metal Cone"], "answer": "A) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1568/cam0.mp4", "dataset/kubric_data/scene_1568/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Small Metal Cube", "C) Small Metal Knot", "D) Small Metal Teapot"], "answer": "C) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1569/cam0.mp4", "dataset/kubric_data/scene_1569/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Small Metal Knot", "C) Small Metal Torus", "D) Small Metal Cube"], "answer": "B) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1569/cam0.mp4", "dataset/kubric_data/scene_1569/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Metal Cube", "B) Small Metal Torus", "C) Small Metal Knot", "D) Small Rubber Sphere"], "answer": "C) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1569/cam0.mp4", "dataset/kubric_data/scene_1569/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Rubber Sphere", "C) Small Metal Teapot", "D) Small Metal Torus"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1569/cam0.mp4", "dataset/kubric_data/scene_1569/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Small Metal Sphere", "B) Large Metal Gear", "C) Large Metal Cone", "D) Small Rubber Sponge"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1572/cam0.mp4", "dataset/kubric_data/scene_1572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Large Metal Gear", "B) Small Metal Sphere", "C) Small Rubber Sponge", "D) Large Metal Teapot"], "answer": "B) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1572/cam0.mp4", "dataset/kubric_data/scene_1572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Rubber Sponge", "C) Large Metal Teapot", "D) Large Metal Gear"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1572/cam0.mp4", "dataset/kubric_data/scene_1572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Metal Sphere", "C) Small Green Cube", "D) Large Metal Teapot"], "answer": "B) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1572/cam0.mp4", "dataset/kubric_data/scene_1572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Large White Cylinder", "B) Large Metal Teapot", "C) Small Rubber Sponge", "D) Large White Cube"], "answer": "C) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1572/cam0.mp4", "dataset/kubric_data/scene_1572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Small Metal Teapot", "C) Large Metal Suzanne", "D) Small Rubber Sponge"], "answer": "D) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1574/cam0.mp4", "dataset/kubric_data/scene_1574/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Metal Cube", "C) Large Metal Suzanne", "D) Small Metal Teapot"], "answer": "C) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_1574/cam0.mp4", "dataset/kubric_data/scene_1574/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Huge Purple Sphere", "B) Large White Sphere", "C) Large Metal Suzanne", "D) Large Rubber Sphere"], "answer": "C) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_1574/cam0.mp4", "dataset/kubric_data/scene_1574/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Metal Cube", "B) Tiny Black Cylinder", "C) Tiny Black Cube", "D) Large Rubber Sphere"], "answer": "A) Small Metal Cube", "videos": ["dataset/kubric_data/scene_1574/cam0.mp4", "dataset/kubric_data/scene_1574/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Metal Teapot", "B) Small Metal Cube", "C) Large Metal Suzanne", "D) Large Rubber Sphere"], "answer": "C) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_1574/cam0.mp4", "dataset/kubric_data/scene_1574/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Rubber Sphere", "C) Huge Purple Cylinder", "D) Large Metal Suzanne"], "answer": "D) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_1574/cam0.mp4", "dataset/kubric_data/scene_1574/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Metal Gear", "B) Large Rubber Teapot", "C) Small Rubber Spot", "D) Large Metal Knot"], "answer": "C) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1579/cam0.mp4", "dataset/kubric_data/scene_1579/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Large Metal Knot", "C) Small Rubber Spot", "D) Large Rubber Teapot"], "answer": "A) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1579/cam0.mp4", "dataset/kubric_data/scene_1579/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sphere in the 3D space?", "options": ["A) Small Metal Cone", "B) Large Metal Teapot", "C) Large Rubber Torus", "D) Small Rubber Cube"], "answer": "D) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_1582/cam0.mp4", "dataset/kubric_data/scene_1582/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Rubber Sphere", "C) Large Rubber Torus", "D) Small Metal Cone"], "answer": "D) Small Metal Cone", "videos": ["dataset/kubric_data/scene_1582/cam0.mp4", "dataset/kubric_data/scene_1582/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Small Rubber Cube", "C) Large Rubber Torus", "D) Small Metal Cone"], "answer": "D) Small Metal Cone", "videos": ["dataset/kubric_data/scene_1582/cam0.mp4", "dataset/kubric_data/scene_1582/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Rubber Torus", "B) Large Rubber Sponge", "C) Small Rubber Cylinder", "D) Small Rubber Sphere"], "answer": "D) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1582/cam0.mp4", "dataset/kubric_data/scene_1582/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Suzanne in the 3D space?", "options": ["A) Small Metal Teapot", "B) Small Rubber Sponge", "C) Small Metal Knot", "D) Large Metal Torus"], "answer": "B) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1583/cam0.mp4", "dataset/kubric_data/scene_1583/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Metal Sponge", "C) Large Metal Torus", "D) Large Metal Sphere"], "answer": "C) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1588/cam0.mp4", "dataset/kubric_data/scene_1588/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large White Sphere", "C) Large Metal Torus", "D) Small Rubber Cylinder"], "answer": "A) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_1588/cam0.mp4", "dataset/kubric_data/scene_1588/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Rubber Cylinder", "C) Large Metal Sphere", "D) Small Rubber Teapot"], "answer": "A) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1588/cam0.mp4", "dataset/kubric_data/scene_1588/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Huge Purple Sphere", "B) Small Rubber Teapot", "C) Small Rubber Cylinder", "D) Large Metal Sphere"], "answer": "D) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_1588/cam0.mp4", "dataset/kubric_data/scene_1588/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Teapot", "B) Small Metal Sphere", "C) Large Rubber Knot", "D) Large Metal Cylinder"], "answer": "B) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1594/cam0.mp4", "dataset/kubric_data/scene_1594/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Metal Sphere", "C) Large Metal Cone", "D) Small Rubber Cylinder"], "answer": "D) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1595/cam0.mp4", "dataset/kubric_data/scene_1595/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Small Rubber Sphere", "C) Small Metal Teapot", "D) Small Rubber Sponge"], "answer": "A) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1598/cam0.mp4", "dataset/kubric_data/scene_1598/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Large Metal Cone", "C) Small Rubber Sponge", "D) Large Metal Knot"], "answer": "C) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1600/cam0.mp4", "dataset/kubric_data/scene_1600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large Metal Cone", "C) Small Rubber Sponge", "D) Large Rubber Cylinder"], "answer": "C) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1600/cam0.mp4", "dataset/kubric_data/scene_1600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Metal Knot", "B) Small Rubber Teapot", "C) Large Rubber Cylinder", "D) Small Rubber Sponge"], "answer": "D) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1600/cam0.mp4", "dataset/kubric_data/scene_1600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Large Metal Knot", "C) Large Rubber Cylinder", "D) Small Rubber Teapot"], "answer": "A) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1600/cam0.mp4", "dataset/kubric_data/scene_1600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Metal Knot", "B) Large Rubber Cylinder", "C) Small Rubber Teapot", "D) Small Rubber Sponge"], "answer": "D) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1600/cam0.mp4", "dataset/kubric_data/scene_1600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Rubber Cube", "C) Large Metal Sponge", "D) Large Metal Spot"], "answer": "C) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_1602/cam0.mp4", "dataset/kubric_data/scene_1602/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Rubber Cube", "C) Large Metal Sponge", "D) Small Metal Torus"], "answer": "C) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_1602/cam0.mp4", "dataset/kubric_data/scene_1602/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Metal Teapot", "B) Small Rubber Suzanne", "C) Small Metal Spot", "D) Small Green Sphere"], "answer": "C) Small Metal Spot", "videos": ["dataset/kubric_data/scene_1609/cam0.mp4", "dataset/kubric_data/scene_1609/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Metal Teapot", "B) Small Rubber Cylinder", "C) Large Metal Sphere", "D) Small Metal Spot"], "answer": "B) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1609/cam0.mp4", "dataset/kubric_data/scene_1609/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Spot", "B) Large Metal Sphere", "C) Small Rubber Cylinder", "D) Small Rubber Suzanne"], "answer": "C) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1609/cam0.mp4", "dataset/kubric_data/scene_1609/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Rubber Spot", "B) Small Metal Teapot", "C) Large Rubber Gear", "D) Large Rubber Knot"], "answer": "D) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_1615/cam0.mp4", "dataset/kubric_data/scene_1615/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Metal Cube", "B) Large Rubber Gear", "C) Small Metal Sphere", "D) Small Rubber Spot"], "answer": "B) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_1615/cam0.mp4", "dataset/kubric_data/scene_1615/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Metal Teapot", "B) Tiny Black Sphere", "C) Large Rubber Knot", "D) Large White Sphere"], "answer": "C) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_1615/cam0.mp4", "dataset/kubric_data/scene_1615/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Rubber Gear", "B) Small Metal Teapot", "C) Large Rubber Knot", "D) Small Green Cube"], "answer": "C) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_1615/cam0.mp4", "dataset/kubric_data/scene_1615/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Metal Knot", "B) Small Metal Sphere", "C) Large Rubber Cube", "D) Small Rubber Suzanne"], "answer": "D) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1617/cam0.mp4", "dataset/kubric_data/scene_1617/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Large Rubber Suzanne", "C) Small Metal Sponge", "D) Large Rubber Cylinder"], "answer": "A) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1624/cam0.mp4", "dataset/kubric_data/scene_1624/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Small Metal Sponge", "B) Large Rubber Suzanne", "C) Large Rubber Cylinder", "D) Small Rubber Sphere"], "answer": "D) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1624/cam0.mp4", "dataset/kubric_data/scene_1624/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Small Rubber Gear", "B) Large Rubber Suzanne", "C) Small Rubber Sphere", "D) Small Metal Sponge"], "answer": "C) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1624/cam0.mp4", "dataset/kubric_data/scene_1624/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Spot", "B) Small Metal Cube", "C) Large Metal Teapot", "D) Large Rubber Suzanne"], "answer": "C) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_1626/cam0.mp4", "dataset/kubric_data/scene_1626/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Rubber Suzanne", "C) Large Rubber Spot", "D) Large Metal Teapot"], "answer": "D) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_1626/cam0.mp4", "dataset/kubric_data/scene_1626/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Large Metal Teapot", "B) Small Metal Sphere", "C) Large Rubber Spot", "D) Large Rubber Suzanne"], "answer": "A) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_1626/cam0.mp4", "dataset/kubric_data/scene_1626/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Large Metal Teapot", "B) Large Rubber Spot", "C) Small Metal Cube", "D) Large Rubber Suzanne"], "answer": "A) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_1626/cam0.mp4", "dataset/kubric_data/scene_1626/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Metal Gear", "B) Small Rubber Cylinder", "C) Large Rubber Knot", "D) Large Rubber Suzanne"], "answer": "D) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1631/cam0.mp4", "dataset/kubric_data/scene_1631/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Metal Torus", "B) Large Rubber Suzanne", "C) Small Rubber Cylinder", "D) Small Metal Gear"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1631/cam0.mp4", "dataset/kubric_data/scene_1631/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Large Rubber Sponge", "C) Small Rubber Cube", "D) Large Metal Cylinder"], "answer": "A) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1632/cam0.mp4", "dataset/kubric_data/scene_1632/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Small Rubber Cube", "C) Small Rubber Sphere", "D) Large Metal Cylinder"], "answer": "C) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1632/cam0.mp4", "dataset/kubric_data/scene_1632/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Metal Cylinder", "C) Small Metal Cube", "D) Small Metal Teapot"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1638/cam0.mp4", "dataset/kubric_data/scene_1638/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Metal Cube", "C) Small Metal Cylinder", "D) Small Metal Teapot"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1638/cam0.mp4", "dataset/kubric_data/scene_1638/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Metal Cylinder", "C) Small Metal Cube", "D) Small Metal Teapot"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1638/cam0.mp4", "dataset/kubric_data/scene_1638/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Large Metal Spot", "C) Large Metal Teapot", "D) Large Rubber Cone"], "answer": "B) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1646/cam0.mp4", "dataset/kubric_data/scene_1646/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Large Metal Knot", "C) Large Rubber Cone", "D) Large Metal Spot"], "answer": "D) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1646/cam0.mp4", "dataset/kubric_data/scene_1646/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Metal Spot", "B) Large Metal Suzanne", "C) Small Metal Sphere", "D) Large Rubber Sponge"], "answer": "A) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1647/cam0.mp4", "dataset/kubric_data/scene_1647/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Large Metal Knot", "C) Large Metal Spot", "D) Large Rubber Sponge"], "answer": "C) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1647/cam0.mp4", "dataset/kubric_data/scene_1647/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Large Metal Sponge", "C) Large Rubber Torus", "D) Large Rubber Cylinder"], "answer": "D) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1649/cam0.mp4", "dataset/kubric_data/scene_1649/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Large Rubber Torus", "C) Large Rubber Cylinder", "D) Large Metal Sponge"], "answer": "C) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1649/cam0.mp4", "dataset/kubric_data/scene_1649/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Metal Sphere", "B) Large Metal Teapot", "C) Large Metal Spot", "D) Large Rubber Cone"], "answer": "C) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1654/cam0.mp4", "dataset/kubric_data/scene_1654/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Knot", "B) Large Metal Spot", "C) Large Rubber Cone", "D) Large Metal Teapot"], "answer": "B) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1654/cam0.mp4", "dataset/kubric_data/scene_1654/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Metal Spot", "B) Large Rubber Knot", "C) Large Metal Teapot", "D) Small Rubber Cube"], "answer": "A) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1654/cam0.mp4", "dataset/kubric_data/scene_1654/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Rubber Suzanne", "C) Small Metal Gear", "D) Small Rubber Cube"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1655/cam0.mp4", "dataset/kubric_data/scene_1655/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Rubber Teapot", "C) Small Rubber Cube", "D) Small Metal Gear"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1655/cam0.mp4", "dataset/kubric_data/scene_1655/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Small Rubber Cube", "B) Small Metal Knot", "C) Large Rubber Suzanne", "D) Large Rubber Teapot"], "answer": "B) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1655/cam0.mp4", "dataset/kubric_data/scene_1655/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Large Rubber Teapot", "C) Small Metal Gear", "D) Small Metal Knot"], "answer": "D) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1655/cam0.mp4", "dataset/kubric_data/scene_1655/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sphere in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Small Rubber Suzanne", "C) Small Metal Spot", "D) Tiny Black Cylinder"], "answer": "C) Small Metal Spot", "videos": ["dataset/kubric_data/scene_1672/cam0.mp4", "dataset/kubric_data/scene_1672/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Rubber Cube", "B) Small Rubber Cone", "C) Large Rubber Gear", "D) Large Metal Cylinder"], "answer": "A) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_1679/cam0.mp4", "dataset/kubric_data/scene_1679/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Rubber Cone", "C) Large Metal Sponge", "D) Large Rubber Suzanne"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1679/cam0.mp4", "dataset/kubric_data/scene_1679/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Large Rubber Gear", "B) Large Rubber Cube", "C) Large Metal Suzanne", "D) Small Metal Torus"], "answer": "B) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_1680/cam0.mp4", "dataset/kubric_data/scene_1680/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Small Rubber Sphere", "C) Large Rubber Cube", "D) Large Rubber Gear"], "answer": "C) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_1680/cam0.mp4", "dataset/kubric_data/scene_1680/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Small Metal Teapot", "B) Small Rubber Suzanne", "C) Large Rubber Sphere", "D) Small Metal Sponge"], "answer": "A) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_1681/cam0.mp4", "dataset/kubric_data/scene_1681/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Small Metal Teapot", "C) Small Rubber Suzanne", "D) Small Green Cube"], "answer": "B) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_1681/cam0.mp4", "dataset/kubric_data/scene_1681/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Huge Purple Cube", "B) Tiny Black Sphere", "C) Huge Purple Cylinder", "D) Large Rubber Sphere"], "answer": "D) Large Rubber Sphere", "videos": ["dataset/kubric_data/scene_1681/cam0.mp4", "dataset/kubric_data/scene_1681/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Rubber Suzanne", "C) Large Rubber Teapot", "D) Large Rubber Cylinder"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1682/cam0.mp4", "dataset/kubric_data/scene_1682/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Small Metal Sponge", "C) Large Rubber Teapot", "D) Large Metal Torus"], "answer": "C) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_1682/cam0.mp4", "dataset/kubric_data/scene_1682/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Large Metal Cube", "C) Large Metal Gear", "D) Small Metal Cylinder"], "answer": "C) Large Metal Gear", "videos": ["dataset/kubric_data/scene_1695/cam0.mp4", "dataset/kubric_data/scene_1695/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Rubber Sphere", "C) Small Metal Knot", "D) Small Metal Cylinder"], "answer": "D) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1695/cam0.mp4", "dataset/kubric_data/scene_1695/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Large Metal Gear", "B) Small Metal Cylinder", "C) Tiny Black Sphere", "D) Small Green Cylinder"], "answer": "B) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1695/cam0.mp4", "dataset/kubric_data/scene_1695/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Large Metal Gear", "C) Small Metal Knot", "D) Small Metal Cylinder"], "answer": "D) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1695/cam0.mp4", "dataset/kubric_data/scene_1695/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Small Rubber Torus", "C) Large Rubber Sphere", "D) Large Metal Gear"], "answer": "A) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1695/cam0.mp4", "dataset/kubric_data/scene_1695/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Metal Torus", "C) Small Metal Spot", "D) Small Metal Cylinder"], "answer": "B) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1696/cam0.mp4", "dataset/kubric_data/scene_1696/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Small Metal Spot", "B) Large Metal Torus", "C) Small Metal Cylinder", "D) Small Rubber Gear"], "answer": "B) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1696/cam0.mp4", "dataset/kubric_data/scene_1696/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Large Metal Torus", "B) Large Metal Knot", "C) Small Metal Spot", "D) Large Rubber Teapot"], "answer": "C) Small Metal Spot", "videos": ["dataset/kubric_data/scene_1696/cam0.mp4", "dataset/kubric_data/scene_1696/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Small Metal Spot", "B) Large Rubber Teapot", "C) Small Metal Cylinder", "D) Small Rubber Gear"], "answer": "B) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_1696/cam0.mp4", "dataset/kubric_data/scene_1696/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Spot in the 3D space?", "options": ["A) Large White Cube", "B) Small Rubber Cylinder", "C) Small Rubber Cone", "D) Large Rubber Torus"], "answer": "C) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1698/cam0.mp4", "dataset/kubric_data/scene_1698/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Spot in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Large Rubber Torus", "C) Small Green Cube", "D) Large Metal Teapot"], "answer": "A) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1698/cam0.mp4", "dataset/kubric_data/scene_1698/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Rubber Spot in the 3D space?", "options": ["A) Large Metal Teapot", "B) Huge Purple Cube", "C) Large White Cube", "D) Small Rubber Cylinder"], "answer": "D) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1698/cam0.mp4", "dataset/kubric_data/scene_1698/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Small Rubber Cone", "B) Small Metal Cylinder", "C) Small Metal Torus", "D) Large Metal Spot"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1701/cam0.mp4", "dataset/kubric_data/scene_1701/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Small Metal Cube", "B) Small Metal Torus", "C) Small Rubber Cone", "D) Small Metal Cylinder"], "answer": "D) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1701/cam0.mp4", "dataset/kubric_data/scene_1701/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Metal Knot", "B) Tiny Black Cube", "C) Small Green Sphere", "D) Small Green Cylinder"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1701/cam0.mp4", "dataset/kubric_data/scene_1701/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Metal Knot", "B) Large White Sphere", "C) Small Green Sphere", "D) Small Metal Cube"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_1701/cam0.mp4", "dataset/kubric_data/scene_1701/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Large Metal Spot", "B) Small Rubber Cone", "C) Small Metal Cylinder", "D) Small Metal Knot"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1701/cam0.mp4", "dataset/kubric_data/scene_1701/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Large Rubber Spot", "C) Large Rubber Teapot", "D) Large Rubber Cube"], "answer": "D) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_1708/cam0.mp4", "dataset/kubric_data/scene_1708/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Small Rubber Knot", "C) Large Rubber Cube", "D) Large Rubber Teapot"], "answer": "B) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_1708/cam0.mp4", "dataset/kubric_data/scene_1708/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Metal Cube", "C) Small Rubber Cone", "D) Large Rubber Teapot"], "answer": "C) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1711/cam0.mp4", "dataset/kubric_data/scene_1711/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Small Rubber Cone", "B) Large Metal Torus", "C) Large Rubber Teapot", "D) Small Rubber Sphere"], "answer": "A) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1711/cam0.mp4", "dataset/kubric_data/scene_1711/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Metal Torus", "C) Small Rubber Cone", "D) Large Rubber Teapot"], "answer": "B) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1711/cam0.mp4", "dataset/kubric_data/scene_1711/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Small Green Sphere", "B) Huge Purple Cylinder", "C) Large Metal Torus", "D) Large White Sphere"], "answer": "C) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1711/cam0.mp4", "dataset/kubric_data/scene_1711/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Rubber Cone", "C) Large Rubber Teapot", "D) Tiny Black Cylinder"], "answer": "A) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1711/cam0.mp4", "dataset/kubric_data/scene_1711/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Small Green Sphere", "B) Huge Purple Cube", "C) Large Rubber Teapot", "D) Large Metal Torus"], "answer": "D) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1711/cam0.mp4", "dataset/kubric_data/scene_1711/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Metal Teapot", "B) Large Rubber Spot", "C) Small Rubber Cylinder", "D) Large Metal Suzanne"], "answer": "A) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_1724/cam0.mp4", "dataset/kubric_data/scene_1724/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Metal Teapot", "C) Large Metal Cube", "D) Small Rubber Cylinder"], "answer": "B) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_1724/cam0.mp4", "dataset/kubric_data/scene_1724/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Metal Cone", "B) Small Rubber Cube", "C) Small Green Sphere", "D) Large Rubber Sponge"], "answer": "A) Small Metal Cone", "videos": ["dataset/kubric_data/scene_1725/cam0.mp4", "dataset/kubric_data/scene_1725/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large White Cylinder", "B) Large Rubber Sponge", "C) Tiny Black Cube", "D) Small Metal Cone"], "answer": "D) Small Metal Cone", "videos": ["dataset/kubric_data/scene_1725/cam0.mp4", "dataset/kubric_data/scene_1725/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Tiny Black Sphere", "B) Large White Sphere", "C) Large Rubber Sponge", "D) Small Rubber Cube"], "answer": "C) Large Rubber Sponge", "videos": ["dataset/kubric_data/scene_1725/cam0.mp4", "dataset/kubric_data/scene_1725/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Sphere", "B) Large Metal Cone", "C) Large Metal Cube", "D) Small Metal Cylinder"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1726/cam0.mp4", "dataset/kubric_data/scene_1726/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Torus", "B) Large Metal Cone", "C) Small Metal Sphere", "D) Small Metal Cylinder"], "answer": "C) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1726/cam0.mp4", "dataset/kubric_data/scene_1726/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Torus", "B) Large Metal Cone", "C) Small Metal Cylinder", "D) Small Metal Sphere"], "answer": "D) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1726/cam0.mp4", "dataset/kubric_data/scene_1726/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Metal Cylinder", "C) Large Metal Cone", "D) Small Rubber Torus"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1726/cam0.mp4", "dataset/kubric_data/scene_1726/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Rubber Cube", "C) Large Rubber Suzanne", "D) Large Metal Sphere"], "answer": "A) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_1729/cam0.mp4", "dataset/kubric_data/scene_1729/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Large Rubber Torus", "B) Large Metal Sphere", "C) Large Rubber Cube", "D) Large Metal Cone"], "answer": "D) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1729/cam0.mp4", "dataset/kubric_data/scene_1729/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Rubber Knot", "B) Small Metal Cube", "C) Small Metal Sphere", "D) Small Metal Gear"], "answer": "C) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_1737/cam0.mp4", "dataset/kubric_data/scene_1737/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Metal Cone", "B) Large Rubber Knot", "C) Small Metal Gear", "D) Small Metal Sphere"], "answer": "A) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1737/cam0.mp4", "dataset/kubric_data/scene_1737/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Metal Gear", "C) Small Metal Cube", "D) Large Metal Cone"], "answer": "D) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1737/cam0.mp4", "dataset/kubric_data/scene_1737/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Sponge", "B) Large Metal Cone", "C) Small Rubber Sphere", "D) Small Metal Teapot"], "answer": "A) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1749/cam0.mp4", "dataset/kubric_data/scene_1749/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Suzanne in the 3D space?", "options": ["A) Tiny Black Sphere", "B) Small Metal Teapot", "C) Small Metal Sponge", "D) Small Rubber Sphere"], "answer": "C) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1749/cam0.mp4", "dataset/kubric_data/scene_1749/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Suzanne in the 3D space?", "options": ["A) Huge Purple Cylinder", "B) Small Metal Sponge", "C) Small Rubber Sphere", "D) Small Metal Teapot"], "answer": "B) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1749/cam0.mp4", "dataset/kubric_data/scene_1749/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Rubber Sphere", "C) Small Rubber Spot", "D) Large Rubber Torus"], "answer": "D) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_1751/cam0.mp4", "dataset/kubric_data/scene_1751/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Small Rubber Spot", "C) Small Rubber Knot", "D) Small Rubber Sponge"], "answer": "D) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1751/cam0.mp4", "dataset/kubric_data/scene_1751/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Knot", "B) Small Metal Gear", "C) Small Rubber Cube", "D) Small Rubber Spot"], "answer": "D) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1752/cam0.mp4", "dataset/kubric_data/scene_1752/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Rubber Teapot", "C) Small Metal Spot", "D) Small Metal Torus"], "answer": "B) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_1762/cam0.mp4", "dataset/kubric_data/scene_1762/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Tiny Black Cube", "B) Small Metal Spot", "C) Small Metal Sphere", "D) Small Rubber Teapot"], "answer": "D) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_1762/cam0.mp4", "dataset/kubric_data/scene_1762/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Rubber Gear", "B) Small Metal Sphere", "C) Small Rubber Teapot", "D) Small Metal Spot"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_1762/cam0.mp4", "dataset/kubric_data/scene_1762/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Spot", "B) Small Metal Torus", "C) Small Rubber Teapot", "D) Large Rubber Gear"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_1762/cam0.mp4", "dataset/kubric_data/scene_1762/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Green Cube", "B) Large White Cylinder", "C) Large Rubber Cone", "D) Huge Purple Sphere"], "answer": "C) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1775/cam0.mp4", "dataset/kubric_data/scene_1775/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Tiny Black Sphere", "B) Small Green Cube", "C) Huge Purple Cylinder", "D) Large Rubber Cone"], "answer": "D) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1775/cam0.mp4", "dataset/kubric_data/scene_1775/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Metal Teapot", "C) Small Metal Knot", "D) Small Rubber Suzanne"], "answer": "A) Large Metal Gear", "videos": ["dataset/kubric_data/scene_1778/cam0.mp4", "dataset/kubric_data/scene_1778/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Metal Teapot", "B) Small Rubber Suzanne", "C) Large Metal Spot", "D) Small Metal Sponge"], "answer": "D) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1778/cam0.mp4", "dataset/kubric_data/scene_1778/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Metal Sponge", "B) Large Metal Spot", "C) Small Rubber Suzanne", "D) Large Metal Teapot"], "answer": "A) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1778/cam0.mp4", "dataset/kubric_data/scene_1778/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Metal Sponge", "C) Small Rubber Suzanne", "D) Small Metal Cylinder"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1778/cam0.mp4", "dataset/kubric_data/scene_1778/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Small Metal Teapot", "B) Small Metal Cube", "C) Large Rubber Knot", "D) Large Metal Suzanne"], "answer": "D) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_1785/cam0.mp4", "dataset/kubric_data/scene_1785/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Knot", "B) Small Metal Cube", "C) Large Metal Cone", "D) Small Metal Teapot"], "answer": "C) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1785/cam0.mp4", "dataset/kubric_data/scene_1785/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Large Metal Cone", "B) Large Metal Suzanne", "C) Small Metal Cylinder", "D) Small Rubber Sponge"], "answer": "C) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1785/cam0.mp4", "dataset/kubric_data/scene_1785/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Metal Cone", "C) Large Rubber Torus", "D) Large Metal Suzanne"], "answer": "A) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1785/cam0.mp4", "dataset/kubric_data/scene_1785/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Large Rubber Knot", "B) Small Rubber Sponge", "C) Large Metal Suzanne", "D) Large Metal Cone"], "answer": "B) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1785/cam0.mp4", "dataset/kubric_data/scene_1785/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Large Rubber Torus", "B) Small Rubber Sponge", "C) Small Metal Cylinder", "D) Large Metal Cone"], "answer": "B) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1785/cam0.mp4", "dataset/kubric_data/scene_1785/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Rubber Sponge", "C) Large Rubber Knot", "D) Large Metal Cone"], "answer": "B) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1785/cam0.mp4", "dataset/kubric_data/scene_1785/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Metal Cylinder", "B) Small Rubber Gear", "C) Large Metal Sphere", "D) Large Metal Spot"], "answer": "B) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_1786/cam0.mp4", "dataset/kubric_data/scene_1786/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Metal Sphere", "B) Small Rubber Gear", "C) Large Metal Cylinder", "D) Small Rubber Knot"], "answer": "B) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_1786/cam0.mp4", "dataset/kubric_data/scene_1786/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Metal Sphere", "B) Large Metal Cylinder", "C) Small Rubber Gear", "D) Small Rubber Knot"], "answer": "C) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_1786/cam0.mp4", "dataset/kubric_data/scene_1786/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Metal Cylinder", "B) Large Metal Sphere", "C) Small Rubber Gear", "D) Small Rubber Knot"], "answer": "C) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_1786/cam0.mp4", "dataset/kubric_data/scene_1786/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Small Rubber Gear", "B) Small Rubber Knot", "C) Large Metal Sphere", "D) Large Metal Cylinder"], "answer": "A) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_1786/cam0.mp4", "dataset/kubric_data/scene_1786/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Large Rubber Cylinder", "C) Large Rubber Knot", "D) Small Metal Teapot"], "answer": "C) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_1794/cam0.mp4", "dataset/kubric_data/scene_1794/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Knot", "B) Small Metal Teapot", "C) Small Rubber Sponge", "D) Large Rubber Cylinder"], "answer": "A) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_1794/cam0.mp4", "dataset/kubric_data/scene_1794/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Huge Purple Cube", "B) Tiny Black Cylinder", "C) Large Rubber Knot", "D) Small Green Cube"], "answer": "C) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_1794/cam0.mp4", "dataset/kubric_data/scene_1794/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Huge Purple Cylinder", "B) Small Metal Teapot", "C) Large Rubber Knot", "D) Large White Cylinder"], "answer": "C) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_1794/cam0.mp4", "dataset/kubric_data/scene_1794/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Gear", "B) Small Rubber Sponge", "C) Small Rubber Teapot", "D) Large Metal Cube"], "answer": "A) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_1804/cam0.mp4", "dataset/kubric_data/scene_1804/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large Metal Cube", "C) Large Rubber Gear", "D) Small Rubber Sponge"], "answer": "C) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_1804/cam0.mp4", "dataset/kubric_data/scene_1804/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Large Rubber Gear", "C) Large Metal Cube", "D) Large Metal Suzanne"], "answer": "B) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_1804/cam0.mp4", "dataset/kubric_data/scene_1804/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Gear", "B) Large Metal Cube", "C) Small Rubber Teapot", "D) Large Metal Suzanne"], "answer": "A) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_1804/cam0.mp4", "dataset/kubric_data/scene_1804/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Metal Cube", "C) Large Rubber Sponge", "D) Small Metal Spot"], "answer": "A) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1809/cam0.mp4", "dataset/kubric_data/scene_1809/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Small Rubber Cylinder", "C) Large Rubber Sponge", "D) Small Metal Cube"], "answer": "B) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1809/cam0.mp4", "dataset/kubric_data/scene_1809/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Metal Cone", "B) Small Metal Spot", "C) Small Metal Cube", "D) Small Rubber Cylinder"], "answer": "D) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1809/cam0.mp4", "dataset/kubric_data/scene_1809/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Metal Spot", "B) Small Metal Cube", "C) Small Rubber Cylinder", "D) Small Metal Cone"], "answer": "C) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1809/cam0.mp4", "dataset/kubric_data/scene_1809/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Metal Cube", "B) Small Rubber Cylinder", "C) Small Metal Spot", "D) Tiny Black Cylinder"], "answer": "B) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1809/cam0.mp4", "dataset/kubric_data/scene_1809/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Large Metal Gear", "B) Small Metal Suzanne", "C) Small Metal Cylinder", "D) Small Rubber Teapot"], "answer": "B) Small Metal Suzanne", "videos": ["dataset/kubric_data/scene_1815/cam0.mp4", "dataset/kubric_data/scene_1815/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Large Rubber Torus", "B) Small Metal Suzanne", "C) Small Rubber Teapot", "D) Large Metal Gear"], "answer": "A) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_1815/cam0.mp4", "dataset/kubric_data/scene_1815/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Cone", "B) Small Metal Suzanne", "C) Small Rubber Teapot", "D) Huge Purple Cylinder"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_1815/cam0.mp4", "dataset/kubric_data/scene_1815/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Metal Cone", "C) Tiny Black Cube", "D) Small Green Cube"], "answer": "A) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_1815/cam0.mp4", "dataset/kubric_data/scene_1815/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Metal Teapot", "B) Large Rubber Suzanne", "C) Small Metal Sponge", "D) Large Rubber Cylinder"], "answer": "B) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1816/cam0.mp4", "dataset/kubric_data/scene_1816/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Small Metal Sponge", "C) Small Metal Cone", "D) Large Rubber Suzanne"], "answer": "D) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1816/cam0.mp4", "dataset/kubric_data/scene_1816/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Metal Sponge", "C) Large Rubber Cylinder", "D) Large Metal Teapot"], "answer": "A) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1816/cam0.mp4", "dataset/kubric_data/scene_1816/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Metal Sponge", "B) Large Metal Teapot", "C) Large Rubber Suzanne", "D) Small Metal Cone"], "answer": "C) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1816/cam0.mp4", "dataset/kubric_data/scene_1816/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Metal Teapot", "B) Large Rubber Suzanne", "C) Large Rubber Cylinder", "D) Small Metal Sponge"], "answer": "B) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1816/cam0.mp4", "dataset/kubric_data/scene_1816/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Rubber Torus", "B) Small Metal Cube", "C) Small Rubber Cylinder", "D) Large Metal Knot"], "answer": "B) Small Metal Cube", "videos": ["dataset/kubric_data/scene_1821/cam0.mp4", "dataset/kubric_data/scene_1821/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Rubber Torus", "C) Small Rubber Cylinder", "D) Small Metal Cube"], "answer": "D) Small Metal Cube", "videos": ["dataset/kubric_data/scene_1821/cam0.mp4", "dataset/kubric_data/scene_1821/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Rubber Torus", "B) Tiny Black Sphere", "C) Small Rubber Teapot", "D) Small Rubber Cylinder"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_1821/cam0.mp4", "dataset/kubric_data/scene_1821/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Metal Cube", "B) Small Green Sphere", "C) Tiny Black Sphere", "D) Small Rubber Torus"], "answer": "A) Small Metal Cube", "videos": ["dataset/kubric_data/scene_1821/cam0.mp4", "dataset/kubric_data/scene_1821/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Rubber Teapot", "C) Small Metal Cube", "D) Large Rubber Cone"], "answer": "C) Small Metal Cube", "videos": ["dataset/kubric_data/scene_1821/cam0.mp4", "dataset/kubric_data/scene_1821/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Metal Cone", "B) Large Metal Spot", "C) Large Metal Sphere", "D) Small Rubber Teapot"], "answer": "B) Large Metal Spot", "videos": ["dataset/kubric_data/scene_1834/cam0.mp4", "dataset/kubric_data/scene_1834/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Small Rubber Gear", "C) Small Rubber Teapot", "D) Large Metal Sphere"], "answer": "A) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1834/cam0.mp4", "dataset/kubric_data/scene_1834/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Metal Cone", "B) Small Metal Cylinder", "C) Tiny Black Cube", "D) Large Metal Sphere"], "answer": "B) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1834/cam0.mp4", "dataset/kubric_data/scene_1834/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Metal Cylinder", "C) Large Metal Sphere", "D) Small Metal Cone"], "answer": "B) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1834/cam0.mp4", "dataset/kubric_data/scene_1834/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Metal Gear", "B) Small Rubber Teapot", "C) Small Rubber Knot", "D) Small Metal Torus"], "answer": "D) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1838/cam0.mp4", "dataset/kubric_data/scene_1838/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Torus in the 3D space?", "options": ["A) Large Rubber Cube", "B) Large Rubber Cone", "C) Large Metal Spot", "D) Large Metal Gear"], "answer": "B) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1843/cam0.mp4", "dataset/kubric_data/scene_1843/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Torus in the 3D space?", "options": ["A) Small Rubber Knot", "B) Large Rubber Cube", "C) Large Metal Gear", "D) Large Rubber Cone"], "answer": "A) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_1843/cam0.mp4", "dataset/kubric_data/scene_1843/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Metal Torus in the 3D space?", "options": ["A) Large Rubber Cube", "B) Large Metal Gear", "C) Small Rubber Knot", "D) Large Rubber Suzanne"], "answer": "C) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_1843/cam0.mp4", "dataset/kubric_data/scene_1843/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Cone", "B) Large Rubber Teapot", "C) Large Metal Sphere", "D) Small Metal Cube"], "answer": "D) Small Metal Cube", "videos": ["dataset/kubric_data/scene_1844/cam0.mp4", "dataset/kubric_data/scene_1844/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Small Metal Cube", "C) Large Metal Sphere", "D) Large Rubber Cone"], "answer": "D) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1844/cam0.mp4", "dataset/kubric_data/scene_1844/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Large Rubber Cone", "C) Small Metal Cylinder", "D) Large Metal Sphere"], "answer": "B) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1844/cam0.mp4", "dataset/kubric_data/scene_1844/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Metal Sponge", "B) Large Metal Knot", "C) Small Rubber Suzanne", "D) Small Metal Spot"], "answer": "C) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1845/cam0.mp4", "dataset/kubric_data/scene_1845/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Rubber Cone", "C) Large Rubber Teapot", "D) Small Metal Knot"], "answer": "A) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1851/cam0.mp4", "dataset/kubric_data/scene_1851/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Rubber Cone", "C) Large Rubber Teapot", "D) Large White Sphere"], "answer": "A) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1851/cam0.mp4", "dataset/kubric_data/scene_1851/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Rubber Sphere", "C) Small Rubber Sponge", "D) Small Rubber Suzanne"], "answer": "D) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1855/cam0.mp4", "dataset/kubric_data/scene_1855/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Rubber Sphere", "C) Large Rubber Cone", "D) Small Rubber Sponge"], "answer": "C) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1855/cam0.mp4", "dataset/kubric_data/scene_1855/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Metal Cylinder", "C) Small Metal Gear", "D) Small Rubber Cone"], "answer": "D) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1862/cam0.mp4", "dataset/kubric_data/scene_1862/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Metal Gear", "C) Large Rubber Sphere", "D) Small Rubber Cone"], "answer": "D) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1862/cam0.mp4", "dataset/kubric_data/scene_1862/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Rubber Cone", "C) Small Rubber Cube", "D) Large Rubber Sphere"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1862/cam0.mp4", "dataset/kubric_data/scene_1862/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Rubber Cone", "C) Small Metal Gear", "D) Small Metal Knot"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1871/cam0.mp4", "dataset/kubric_data/scene_1871/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Rubber Cone", "B) Small Rubber Cylinder", "C) Small Metal Torus", "D) Large Metal Spot"], "answer": "B) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1871/cam0.mp4", "dataset/kubric_data/scene_1871/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Rubber Cylinder", "C) Small Metal Torus", "D) Small Rubber Cone"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_1871/cam0.mp4", "dataset/kubric_data/scene_1871/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Metal Knot", "C) Small Metal Spot", "D) Large Rubber Suzanne"], "answer": "A) Large Metal Gear", "videos": ["dataset/kubric_data/scene_1880/cam0.mp4", "dataset/kubric_data/scene_1880/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Rubber Suzanne", "C) Large Metal Knot", "D) Small Metal Spot"], "answer": "A) Large Metal Gear", "videos": ["dataset/kubric_data/scene_1880/cam0.mp4", "dataset/kubric_data/scene_1880/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Small Metal Spot", "C) Large Metal Torus", "D) Large Rubber Suzanne"], "answer": "D) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1880/cam0.mp4", "dataset/kubric_data/scene_1880/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large Metal Torus", "C) Large Rubber Knot", "D) Small Metal Suzanne"], "answer": "D) Small Metal Suzanne", "videos": ["dataset/kubric_data/scene_1886/cam0.mp4", "dataset/kubric_data/scene_1886/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Teapot in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Large Metal Torus", "C) Small Metal Cylinder", "D) Small Rubber Spot"], "answer": "C) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1886/cam0.mp4", "dataset/kubric_data/scene_1886/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Small Rubber Cube", "B) Small Rubber Spot", "C) Small Rubber Knot", "D) Small Metal Cylinder"], "answer": "B) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1887/cam0.mp4", "dataset/kubric_data/scene_1887/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Small Rubber Cube", "B) Small Rubber Suzanne", "C) Small Metal Cylinder", "D) Small Rubber Spot"], "answer": "D) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1887/cam0.mp4", "dataset/kubric_data/scene_1887/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Metal Sponge", "C) Small Metal Sphere", "D) Small Metal Cube"], "answer": "A) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1893/cam0.mp4", "dataset/kubric_data/scene_1893/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Spot in the 3D space?", "options": ["A) Small Metal Gear", "B) Large Metal Torus", "C) Small Metal Sphere", "D) Small Metal Sponge"], "answer": "B) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1893/cam0.mp4", "dataset/kubric_data/scene_1893/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Small Rubber Torus", "B) Small Metal Cube", "C) Small Metal Cone", "D) Large Rubber Teapot"], "answer": "D) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_1896/cam0.mp4", "dataset/kubric_data/scene_1896/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Metal Teapot", "C) Small Rubber Sphere", "D) Large Rubber Cone"], "answer": "C) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1903/cam0.mp4", "dataset/kubric_data/scene_1903/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sphere in the 3D space?", "options": ["A) Large Metal Teapot", "B) Small Metal Cylinder", "C) Large Metal Gear", "D) Small Metal Sponge"], "answer": "B) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_1903/cam0.mp4", "dataset/kubric_data/scene_1903/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Sponge", "B) Small Metal Cylinder", "C) Large Metal Teapot", "D) Small Rubber Sphere"], "answer": "D) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1903/cam0.mp4", "dataset/kubric_data/scene_1903/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Sponge in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Metal Suzanne", "C) Small Rubber Cylinder", "D) Small Rubber Teapot"], "answer": "D) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_1904/cam0.mp4", "dataset/kubric_data/scene_1904/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Sponge in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Large Metal Knot", "C) Small Rubber Cone", "D) Small Rubber Cylinder"], "answer": "B) Large Metal Knot", "videos": ["dataset/kubric_data/scene_1904/cam0.mp4", "dataset/kubric_data/scene_1904/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Metal Sponge in the 3D space?", "options": ["A) Large Rubber Cube", "B) Large Metal Knot", "C) Small Metal Suzanne", "D) Large Rubber Sphere"], "answer": "C) Small Metal Suzanne", "videos": ["dataset/kubric_data/scene_1904/cam0.mp4", "dataset/kubric_data/scene_1904/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Red Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Brown Metal Cylinder in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Tiny Black Cube", "C) Large White Sphere", "D) Small Blue Rubber Sphere"], "answer": "D) Small Blue Rubber Sphere", "videos": ["dataset/kubric_data/scene_191/cam0.mp4", "dataset/kubric_data/scene_191/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large Rubber Gear", "B) Small Rubber Knot", "C) Large Rubber Sphere", "D) Large Metal Cone"], "answer": "D) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1911/cam0.mp4", "dataset/kubric_data/scene_1911/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Rubber Knot", "C) Large Metal Cone", "D) Large Rubber Gear"], "answer": "C) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1911/cam0.mp4", "dataset/kubric_data/scene_1911/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large Rubber Gear", "B) Large Rubber Sphere", "C) Small Rubber Sponge", "D) Large Metal Cone"], "answer": "D) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1911/cam0.mp4", "dataset/kubric_data/scene_1911/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Rubber Knot", "B) Large Metal Cone", "C) Small Rubber Sponge", "D) Large Rubber Sphere"], "answer": "B) Large Metal Cone", "videos": ["dataset/kubric_data/scene_1911/cam0.mp4", "dataset/kubric_data/scene_1911/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Metal Cube", "B) Small Metal Teapot", "C) Large Rubber Knot", "D) Small Metal Gear"], "answer": "B) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_1926/cam0.mp4", "dataset/kubric_data/scene_1926/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Green Cube", "B) Small Metal Teapot", "C) Large Rubber Knot", "D) Small Rubber Spot"], "answer": "B) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_1926/cam0.mp4", "dataset/kubric_data/scene_1926/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Rubber Spot", "B) Small Metal Teapot", "C) Large Metal Torus", "D) Large Rubber Knot"], "answer": "C) Large Metal Torus", "videos": ["dataset/kubric_data/scene_1926/cam0.mp4", "dataset/kubric_data/scene_1926/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Rubber Suzanne", "C) Large Metal Sponge", "D) Small Rubber Gear"], "answer": "B) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1933/cam0.mp4", "dataset/kubric_data/scene_1933/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Small Rubber Gear", "B) Large Metal Cylinder", "C) Large Rubber Suzanne", "D) Large Metal Sponge"], "answer": "C) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1933/cam0.mp4", "dataset/kubric_data/scene_1933/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Torus", "B) Large Metal Teapot", "C) Large Metal Sphere", "D) Large Metal Cone"], "answer": "C) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_1935/cam0.mp4", "dataset/kubric_data/scene_1935/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Metal Sphere", "B) Large Metal Cube", "C) Large Metal Teapot", "D) Large Metal Cone"], "answer": "B) Large Metal Cube", "videos": ["dataset/kubric_data/scene_1935/cam0.mp4", "dataset/kubric_data/scene_1935/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Metal Cube", "B) Large Metal Teapot", "C) Small Metal Torus", "D) Large Metal Cone"], "answer": "A) Large Metal Cube", "videos": ["dataset/kubric_data/scene_1935/cam0.mp4", "dataset/kubric_data/scene_1935/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Metal Cone", "B) Large Metal Sphere", "C) Large Metal Teapot", "D) Large White Cylinder"], "answer": "B) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_1935/cam0.mp4", "dataset/kubric_data/scene_1935/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Spot", "B) Large Metal Cube", "C) Small Metal Sponge", "D) Small Metal Sphere"], "answer": "C) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1938/cam0.mp4", "dataset/kubric_data/scene_1938/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Sphere", "B) Large Metal Cube", "C) Small Metal Spot", "D) Small Metal Sponge"], "answer": "D) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1938/cam0.mp4", "dataset/kubric_data/scene_1938/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Spot", "B) Tiny Black Cylinder", "C) Small Metal Sponge", "D) Large White Sphere"], "answer": "C) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1938/cam0.mp4", "dataset/kubric_data/scene_1938/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Sponge", "B) Large Metal Cube", "C) Small Metal Spot", "D) Small Metal Sphere"], "answer": "A) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1938/cam0.mp4", "dataset/kubric_data/scene_1938/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large White Cylinder", "B) Small Metal Spot", "C) Small Metal Sponge", "D) Tiny Black Cylinder"], "answer": "C) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1938/cam0.mp4", "dataset/kubric_data/scene_1938/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Metal Sphere", "B) Large Metal Teapot", "C) Small Metal Knot", "D) Large Metal Gear"], "answer": "D) Large Metal Gear", "videos": ["dataset/kubric_data/scene_1939/cam0.mp4", "dataset/kubric_data/scene_1939/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Metal Cylinder", "B) Small Rubber Knot", "C) Small Rubber Sphere", "D) Small Rubber Gear"], "answer": "A) Large Metal Cylinder", "videos": ["dataset/kubric_data/scene_1943/cam0.mp4", "dataset/kubric_data/scene_1943/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Metal Sponge", "B) Small Rubber Sphere", "C) Large Metal Cube", "D) Tiny Black Cube"], "answer": "B) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_1943/cam0.mp4", "dataset/kubric_data/scene_1943/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Metal Cube", "B) Small Rubber Knot", "C) Small Metal Sponge", "D) Small Rubber Sphere"], "answer": "B) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_1943/cam0.mp4", "dataset/kubric_data/scene_1943/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Large Rubber Gear", "C) Large Rubber Sphere", "D) Small Metal Cone"], "answer": "C) Large Rubber Sphere", "videos": ["dataset/kubric_data/scene_1944/cam0.mp4", "dataset/kubric_data/scene_1944/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Metal Cone", "C) Small Rubber Cylinder", "D) Small Rubber Cube"], "answer": "B) Small Metal Cone", "videos": ["dataset/kubric_data/scene_1944/cam0.mp4", "dataset/kubric_data/scene_1944/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Metal Cone", "C) Large Rubber Sphere", "D) Large Rubber Gear"], "answer": "A) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_1944/cam0.mp4", "dataset/kubric_data/scene_1944/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Metal Sponge", "C) Small Rubber Spot", "D) Small Metal Cube"], "answer": "C) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1947/cam0.mp4", "dataset/kubric_data/scene_1947/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Small Metal Sponge", "B) Small Rubber Spot", "C) Small Metal Cube", "D) Large Metal Torus"], "answer": "B) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1947/cam0.mp4", "dataset/kubric_data/scene_1947/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Rubber Spot", "C) Small Metal Sponge", "D) Small Metal Suzanne"], "answer": "B) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1947/cam0.mp4", "dataset/kubric_data/scene_1947/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Small Rubber Knot in the 3D space?", "options": ["A) Large Metal Teapot", "B) Large Rubber Cylinder", "C) Large Rubber Cone", "D) Large Metal Sphere"], "answer": "D) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_1956/cam0.mp4", "dataset/kubric_data/scene_1956/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Knot in the 3D space?", "options": ["A) Large Rubber Gear", "B) Large Rubber Cone", "C) Large Rubber Cylinder", "D) Large Metal Sphere"], "answer": "A) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_1956/cam0.mp4", "dataset/kubric_data/scene_1956/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Spot", "B) Small Rubber Torus", "C) Large Rubber Cylinder", "D) Large Rubber Cube"], "answer": "A) Small Metal Spot", "videos": ["dataset/kubric_data/scene_1957/cam0.mp4", "dataset/kubric_data/scene_1957/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Rubber Cylinder", "C) Small Rubber Torus", "D) Small Metal Spot"], "answer": "D) Small Metal Spot", "videos": ["dataset/kubric_data/scene_1957/cam0.mp4", "dataset/kubric_data/scene_1957/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Metal Spot in the 3D space?", "options": ["A) Small Rubber Torus", "B) Large Metal Sponge", "C) Large Rubber Cube", "D) Large Rubber Teapot"], "answer": "B) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_1957/cam0.mp4", "dataset/kubric_data/scene_1957/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Metal Cube", "C) Small Metal Sponge", "D) Large Metal Teapot"], "answer": "C) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_1974/cam0.mp4", "dataset/kubric_data/scene_1974/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Metal Sponge", "B) Small Rubber Teapot", "C) Small Rubber Torus", "D) Small Rubber Cone"], "answer": "D) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1975/cam0.mp4", "dataset/kubric_data/scene_1975/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Torus", "B) Small Rubber Teapot", "C) Huge Purple Sphere", "D) Small Rubber Cone"], "answer": "D) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1975/cam0.mp4", "dataset/kubric_data/scene_1975/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Green Cylinder", "B) Large Metal Sponge", "C) Small Rubber Cone", "D) Small Rubber Teapot"], "answer": "C) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_1975/cam0.mp4", "dataset/kubric_data/scene_1975/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Cone", "B) Large Rubber Knot", "C) Large Metal Suzanne", "D) Small Metal Cube"], "answer": "A) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1982/cam0.mp4", "dataset/kubric_data/scene_1982/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Teapot", "B) Large Rubber Cone", "C) Large Rubber Knot", "D) Large Metal Suzanne"], "answer": "B) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1982/cam0.mp4", "dataset/kubric_data/scene_1982/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Knot", "B) Large Metal Suzanne", "C) Small Metal Teapot", "D) Small Metal Cube"], "answer": "A) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_1982/cam0.mp4", "dataset/kubric_data/scene_1982/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Metal Suzanne", "C) Small Metal Teapot", "D) Large Rubber Cone"], "answer": "D) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1982/cam0.mp4", "dataset/kubric_data/scene_1982/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Small Rubber Spot", "C) Large Rubber Sponge", "D) Large Metal Torus"], "answer": "B) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1984/cam0.mp4", "dataset/kubric_data/scene_1984/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Rubber Spot", "B) Large Metal Torus", "C) Large Rubber Sponge", "D) Large Rubber Sphere"], "answer": "A) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1984/cam0.mp4", "dataset/kubric_data/scene_1984/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Rubber Spot", "B) Large Rubber Sponge", "C) Large Rubber Sphere", "D) Small Rubber Cone"], "answer": "A) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_1984/cam0.mp4", "dataset/kubric_data/scene_1984/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large Metal Cylinder", "C) Small Rubber Sponge", "D) Small Rubber Torus"], "answer": "B) Large Metal Cylinder", "videos": ["dataset/kubric_data/scene_1986/cam0.mp4", "dataset/kubric_data/scene_1986/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Small Rubber Torus", "B) Large Metal Cylinder", "C) Large Rubber Spot", "D) Large Rubber Cone"], "answer": "D) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_1986/cam0.mp4", "dataset/kubric_data/scene_1986/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Metal Gear", "C) Small Rubber Sphere", "D) Small Rubber Sponge"], "answer": "D) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1992/cam0.mp4", "dataset/kubric_data/scene_1992/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Small Metal Gear", "C) Small Rubber Teapot", "D) Small Rubber Sponge"], "answer": "D) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1992/cam0.mp4", "dataset/kubric_data/scene_1992/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Green Sphere", "B) Small Metal Gear", "C) Small Rubber Teapot", "D) Small Rubber Sponge"], "answer": "D) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1992/cam0.mp4", "dataset/kubric_data/scene_1992/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Rubber Sphere", "C) Small Rubber Teapot", "D) Small Metal Gear"], "answer": "A) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1992/cam0.mp4", "dataset/kubric_data/scene_1992/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Metal Gear", "B) Small Rubber Sphere", "C) Small Rubber Sponge", "D) Small Rubber Teapot"], "answer": "C) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1992/cam0.mp4", "dataset/kubric_data/scene_1992/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Rubber Sphere", "C) Small Metal Gear", "D) Small Rubber Sponge"], "answer": "D) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_1992/cam0.mp4", "dataset/kubric_data/scene_1992/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Metal Cylinder", "B) Small Rubber Teapot", "C) Small Metal Sponge", "D) Small Rubber Suzanne"], "answer": "D) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1993/cam0.mp4", "dataset/kubric_data/scene_1993/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Metal Sponge", "B) Small Rubber Teapot", "C) Small Rubber Suzanne", "D) Small Metal Sphere"], "answer": "C) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1993/cam0.mp4", "dataset/kubric_data/scene_1993/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Small Metal Sponge", "C) Small Metal Sphere", "D) Small Rubber Teapot"], "answer": "A) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1993/cam0.mp4", "dataset/kubric_data/scene_1993/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Small Rubber Knot", "C) Large Rubber Suzanne", "D) Large White Cube"], "answer": "C) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1998/cam0.mp4", "dataset/kubric_data/scene_1998/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Rubber Suzanne", "C) Tiny Black Cylinder", "D) Small Rubber Knot"], "answer": "B) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_1998/cam0.mp4", "dataset/kubric_data/scene_1998/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Red Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Purple Metal Sphere in the 3D space?", "options": ["A) Small Green Cylinder", "B) Small Red Metal Cube", "C) Huge Purple Sphere", "D) Huge Purple Cube"], "answer": "B) Small Red Metal Cube", "videos": ["dataset/kubric_data/scene_237/cam0.mp4", "dataset/kubric_data/scene_237/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Cyan Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Gray Rubber Cylinder in the 3D space?", "options": ["A) Large White Cube", "B) Tiny Black Cube", "C) Small Green Sphere", "D) Small Blue Rubber Sphere"], "answer": "D) Small Blue Rubber Sphere", "videos": ["dataset/kubric_data/scene_249/cam0.mp4", "dataset/kubric_data/scene_249/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Red Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Blue Rubber Sphere in the 3D space?", "options": ["A) Huge Purple Cube", "B) Small Green Sphere", "C) Large White Cube", "D) Small Red Metal Cube"], "answer": "D) Small Red Metal Cube", "videos": ["dataset/kubric_data/scene_26/cam0.mp4", "dataset/kubric_data/scene_26/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Cyan Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Blue Rubber Cylinder in the 3D space?", "options": ["A) Small Green Cube", "B) Tiny Black Cylinder", "C) Large Red Rubber Sphere", "D) Small Green Sphere"], "answer": "C) Large Red Rubber Sphere", "videos": ["dataset/kubric_data/scene_27/cam0.mp4", "dataset/kubric_data/scene_27/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Blue Rubber Sphere in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Tiny Black Sphere", "C) Small Green Cube", "D) Small Purple Rubber Cube"], "answer": "D) Small Purple Rubber Cube", "videos": ["dataset/kubric_data/scene_288/cam0.mp4", "dataset/kubric_data/scene_288/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Purple Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Red Metal Sphere in the 3D space?", "options": ["A) Tiny Black Sphere", "B) Huge Purple Cylinder", "C) Huge Purple Sphere", "D) Small Yellow Metal Cylinder"], "answer": "D) Small Yellow Metal Cylinder", "videos": ["dataset/kubric_data/scene_294/cam0.mp4", "dataset/kubric_data/scene_294/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Green Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Red Metal Cylinder in the 3D space?", "options": ["A) Small Green Cylinder", "B) Huge Purple Cube", "C) Large White Cube", "D) Small Green Metal Cube"], "answer": "D) Small Green Metal Cube", "videos": ["dataset/kubric_data/scene_3/cam0.mp4", "dataset/kubric_data/scene_3/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Blue Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Gray Rubber Sphere in the 3D space?", "options": ["A) Small Red Rubber Cube", "B) Huge Purple Cube", "C) Tiny Black Sphere", "D) Tiny Black Cube"], "answer": "A) Small Red Rubber Cube", "videos": ["dataset/kubric_data/scene_305/cam0.mp4", "dataset/kubric_data/scene_305/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Red Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Blue Rubber Sphere in the 3D space?", "options": ["A) Large White Sphere", "B) Small Blue Metal Cylinder", "C) Small Green Sphere", "D) Tiny Black Sphere"], "answer": "B) Small Blue Metal Cylinder", "videos": ["dataset/kubric_data/scene_318/cam0.mp4", "dataset/kubric_data/scene_318/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Green Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Blue Metal Cube in the 3D space?", "options": ["A) Small Purple Rubber Sphere", "B) Large White Cylinder", "C) Huge Purple Sphere", "D) Small Green Sphere"], "answer": "A) Small Purple Rubber Sphere", "videos": ["dataset/kubric_data/scene_319/cam0.mp4", "dataset/kubric_data/scene_319/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Blue Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Cyan Metal Cylinder in the 3D space?", "options": ["A) Large White Cube", "B) Small Green Sphere", "C) Small Green Cylinder", "D) Small Cyan Metal Sphere"], "answer": "D) Small Cyan Metal Sphere", "videos": ["dataset/kubric_data/scene_347/cam0.mp4", "dataset/kubric_data/scene_347/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Brown Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Purple Metal Cylinder in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Large White Cylinder", "C) Small Green Sphere", "D) Small Red Rubber Cube"], "answer": "D) Small Red Rubber Cube", "videos": ["dataset/kubric_data/scene_367/cam0.mp4", "dataset/kubric_data/scene_367/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Purple Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Green Rubber Cylinder in the 3D space?", "options": ["A) Small Green Cube", "B) Small Green Cylinder", "C) Small Gray Metal Sphere", "D) Large White Sphere"], "answer": "C) Small Gray Metal Sphere", "videos": ["dataset/kubric_data/scene_386/cam0.mp4", "dataset/kubric_data/scene_386/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Green Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Red Rubber Cylinder in the 3D space?", "options": ["A) Huge Purple Sphere", "B) Small Green Metal Sphere", "C) Tiny Black Sphere", "D) Large White Cube"], "answer": "B) Small Green Metal Sphere", "videos": ["dataset/kubric_data/scene_40/cam0.mp4", "dataset/kubric_data/scene_40/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Yellow Metal Cube in the 3D space?", "options": ["A) Large White Sphere", "B) Tiny Black Sphere", "C) Small Green Cube", "D) Small Blue Rubber Sphere"], "answer": "D) Small Blue Rubber Sphere", "videos": ["dataset/kubric_data/scene_413/cam0.mp4", "dataset/kubric_data/scene_413/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Blue Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Blue Metal Cylinder in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Large Red Metal Sphere", "C) Huge Purple Cube", "D) Large White Sphere"], "answer": "B) Large Red Metal Sphere", "videos": ["dataset/kubric_data/scene_438/cam0.mp4", "dataset/kubric_data/scene_438/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Red Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Blue Metal Cylinder in the 3D space?", "options": ["A) Large White Cylinder", "B) Tiny Black Cube", "C) Small Green Cube", "D) Small Blue Rubber Cube"], "answer": "D) Small Blue Rubber Cube", "videos": ["dataset/kubric_data/scene_438/cam0.mp4", "dataset/kubric_data/scene_438/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Purple Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Blue Metal Cube in the 3D space?", "options": ["A) Small Blue Metal Cylinder", "B) Large White Cube", "C) Tiny Black Cube", "D) Small Green Cylinder"], "answer": "A) Small Blue Metal Cylinder", "videos": ["dataset/kubric_data/scene_442/cam0.mp4", "dataset/kubric_data/scene_442/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Cyan Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Blue Metal Cylinder in the 3D space?", "options": ["A) Huge Purple Sphere", "B) Tiny Black Cylinder", "C) Tiny Black Cube", "D) Small Yellow Rubber Cube"], "answer": "D) Small Yellow Rubber Cube", "videos": ["dataset/kubric_data/scene_443/cam0.mp4", "dataset/kubric_data/scene_443/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Yellow Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Blue Metal Cylinder in the 3D space?", "options": ["A) Small Green Sphere", "B) Small Cyan Rubber Sphere", "C) Tiny Black Cylinder", "D) Tiny Black Cube"], "answer": "B) Small Cyan Rubber Sphere", "videos": ["dataset/kubric_data/scene_443/cam0.mp4", "dataset/kubric_data/scene_443/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Cyan Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Gray Metal Cube in the 3D space?", "options": ["A) Small Green Cube", "B) Huge Purple Sphere", "C) Small Green Metal Sphere", "D) Small Green Cylinder"], "answer": "C) Small Green Metal Sphere", "videos": ["dataset/kubric_data/scene_45/cam0.mp4", "dataset/kubric_data/scene_45/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Red Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Blue Rubber Sphere in the 3D space?", "options": ["A) Small Green Sphere", "B) Huge Purple Sphere", "C) Small Gray Metal Cylinder", "D) Small Green Cylinder"], "answer": "C) Small Gray Metal Cylinder", "videos": ["dataset/kubric_data/scene_451/cam0.mp4", "dataset/kubric_data/scene_451/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Brown Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Red Metal Cube in the 3D space?", "options": ["A) Tiny Black Sphere", "B) Large White Cylinder", "C) Tiny Black Cylinder", "D) Small Yellow Metal Sphere"], "answer": "D) Small Yellow Metal Sphere", "videos": ["dataset/kubric_data/scene_455/cam0.mp4", "dataset/kubric_data/scene_455/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Brown Metal Cylinder in the 3D space?", "options": ["A) Small Brown Metal Cube", "B) Tiny Black Cube", "C) Huge Purple Sphere", "D) Huge Purple Cube"], "answer": "A) Small Brown Metal Cube", "videos": ["dataset/kubric_data/scene_460/cam0.mp4", "dataset/kubric_data/scene_460/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Red Rubber Cube in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Small Green Sphere", "C) Huge Purple Sphere", "D) Small Green Rubber Cylinder"], "answer": "D) Small Green Rubber Cylinder", "videos": ["dataset/kubric_data/scene_465/cam0.mp4", "dataset/kubric_data/scene_465/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Green Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Purple Rubber Cube in the 3D space?", "options": ["A) Small Green Cube", "B) Small Green Cylinder", "C) Small Green Rubber Cylinder", "D) Large White Cylinder"], "answer": "C) Small Green Rubber Cylinder", "videos": ["dataset/kubric_data/scene_480/cam0.mp4", "dataset/kubric_data/scene_480/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Brown Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Red Rubber Cube in the 3D space?", "options": ["A) Large White Cube", "B) Huge Purple Sphere", "C) Tiny Black Cube", "D) Large Blue Metal Sphere"], "answer": "D) Large Blue Metal Sphere", "videos": ["dataset/kubric_data/scene_497/cam0.mp4", "dataset/kubric_data/scene_497/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Rubber Cone", "C) Large Rubber Sponge", "D) Large Metal Cube"], "answer": "D) Large Metal Cube", "videos": ["dataset/kubric_data/scene_504/cam0.mp4", "dataset/kubric_data/scene_504/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Cone", "B) Large Rubber Suzanne", "C) Large Metal Cube", "D) Large Rubber Sponge"], "answer": "C) Large Metal Cube", "videos": ["dataset/kubric_data/scene_504/cam0.mp4", "dataset/kubric_data/scene_504/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Large Rubber Sponge", "C) Small Rubber Knot", "D) Small Rubber Cone"], "answer": "B) Large Rubber Sponge", "videos": ["dataset/kubric_data/scene_504/cam0.mp4", "dataset/kubric_data/scene_504/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Large Metal Suzanne", "C) Large Metal Sphere", "D) Large Metal Torus"], "answer": "D) Large Metal Torus", "videos": ["dataset/kubric_data/scene_515/cam0.mp4", "dataset/kubric_data/scene_515/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Large Metal Sphere", "C) Small Metal Knot", "D) Large Rubber Sponge"], "answer": "B) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_515/cam0.mp4", "dataset/kubric_data/scene_515/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Large Metal Sphere", "B) Small Metal Knot", "C) Large Rubber Sponge", "D) Huge Purple Sphere"], "answer": "A) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_515/cam0.mp4", "dataset/kubric_data/scene_515/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Rubber Sponge", "C) Large Metal Torus", "D) Tiny Black Cube"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_515/cam0.mp4", "dataset/kubric_data/scene_515/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Metal Sphere", "B) Large Rubber Torus", "C) Large Rubber Teapot", "D) Large Metal Suzanne"], "answer": "C) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_520/cam0.mp4", "dataset/kubric_data/scene_520/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Large Metal Sphere", "C) Tiny Black Cylinder", "D) Large Rubber Teapot"], "answer": "D) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_520/cam0.mp4", "dataset/kubric_data/scene_520/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sphere in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Small Metal Suzanne", "C) Small Rubber Knot", "D) Small Metal Spot"], "answer": "C) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_522/cam0.mp4", "dataset/kubric_data/scene_522/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sphere in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Small Rubber Knot", "C) Large Rubber Gear", "D) Small Metal Spot"], "answer": "B) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_522/cam0.mp4", "dataset/kubric_data/scene_522/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Large Rubber Gear", "C) Small Rubber Knot", "D) Small Metal Suzanne"], "answer": "A) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_522/cam0.mp4", "dataset/kubric_data/scene_522/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Rubber Cylinder", "C) Large Metal Suzanne", "D) Small Metal Sphere"], "answer": "A) Large Metal Gear", "videos": ["dataset/kubric_data/scene_528/cam0.mp4", "dataset/kubric_data/scene_528/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Metal Gear", "B) Small Metal Sponge", "C) Large Rubber Cylinder", "D) Small Metal Sphere"], "answer": "A) Large Metal Gear", "videos": ["dataset/kubric_data/scene_528/cam0.mp4", "dataset/kubric_data/scene_528/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Green Sphere", "B) Large Rubber Cylinder", "C) Large Metal Suzanne", "D) Small Metal Knot"], "answer": "B) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_528/cam0.mp4", "dataset/kubric_data/scene_528/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Metal Knot", "C) Large Metal Gear", "D) Tiny Black Sphere"], "answer": "C) Large Metal Gear", "videos": ["dataset/kubric_data/scene_528/cam0.mp4", "dataset/kubric_data/scene_528/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Metal Gear", "C) Small Metal Cube", "D) Large Rubber Cone"], "answer": "A) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_530/cam0.mp4", "dataset/kubric_data/scene_530/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Rubber Knot in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Small Rubber Cylinder", "C) Large Metal Teapot", "D) Small Metal Sponge"], "answer": "D) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_531/cam0.mp4", "dataset/kubric_data/scene_531/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Torus", "B) Small Metal Sponge", "C) Small Rubber Knot", "D) Large Metal Teapot"], "answer": "B) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_531/cam0.mp4", "dataset/kubric_data/scene_531/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Metal Knot", "C) Small Rubber Cube", "D) Small Metal Suzanne"], "answer": "C) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_532/cam0.mp4", "dataset/kubric_data/scene_532/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Small Rubber Spot", "C) Small Rubber Gear", "D) Small Rubber Cube"], "answer": "A) Small Metal Suzanne", "videos": ["dataset/kubric_data/scene_532/cam0.mp4", "dataset/kubric_data/scene_532/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Small Rubber Cube", "C) Large Metal Knot", "D) Small Metal Suzanne"], "answer": "B) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_532/cam0.mp4", "dataset/kubric_data/scene_532/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Rubber Cylinder", "C) Small Rubber Spot", "D) Small Rubber Sphere"], "answer": "A) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_542/cam0.mp4", "dataset/kubric_data/scene_542/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Large Rubber Cylinder", "C) Small Metal Spot", "D) Large Metal Knot"], "answer": "A) Large Rubber Sphere", "videos": ["dataset/kubric_data/scene_543/cam0.mp4", "dataset/kubric_data/scene_543/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Metal Knot", "B) Large Metal Cube", "C) Large Metal Sponge", "D) Small Metal Spot"], "answer": "D) Small Metal Spot", "videos": ["dataset/kubric_data/scene_543/cam0.mp4", "dataset/kubric_data/scene_543/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Spot in the 3D space?", "options": ["A) Large Metal Sponge", "B) Large Rubber Cylinder", "C) Large Rubber Sphere", "D) Large Metal Cube"], "answer": "B) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_543/cam0.mp4", "dataset/kubric_data/scene_543/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Torus in the 3D space?", "options": ["A) Small Metal Spot", "B) Large Metal Gear", "C) Large Rubber Cylinder", "D) Small Metal Cone"], "answer": "D) Small Metal Cone", "videos": ["dataset/kubric_data/scene_548/cam0.mp4", "dataset/kubric_data/scene_548/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Rubber Torus in the 3D space?", "options": ["A) Large Metal Gear", "B) Small Metal Spot", "C) Small Metal Cone", "D) Large Metal Sponge"], "answer": "D) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_548/cam0.mp4", "dataset/kubric_data/scene_548/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Large Metal Sponge", "B) Small Metal Spot", "C) Small Metal Knot", "D) Large Rubber Cylinder"], "answer": "D) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_548/cam0.mp4", "dataset/kubric_data/scene_548/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Torus in the 3D space?", "options": ["A) Large Metal Gear", "B) Small Metal Cone", "C) Large Metal Sponge", "D) Large Rubber Cylinder"], "answer": "C) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_548/cam0.mp4", "dataset/kubric_data/scene_548/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Metal Spot", "C) Large Rubber Sphere", "D) Small Rubber Cylinder"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_562/cam0.mp4", "dataset/kubric_data/scene_562/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Huge Purple Cube", "B) Small Green Cylinder", "C) Small Rubber Cylinder", "D) Tiny Black Cylinder"], "answer": "C) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_562/cam0.mp4", "dataset/kubric_data/scene_562/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Huge Purple Cylinder", "B) Small Rubber Cylinder", "C) Small Metal Knot", "D) Large White Sphere"], "answer": "C) Small Metal Knot", "videos": ["dataset/kubric_data/scene_562/cam0.mp4", "dataset/kubric_data/scene_562/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Metal Spot", "C) Huge Purple Sphere", "D) Small Metal Knot"], "answer": "D) Small Metal Knot", "videos": ["dataset/kubric_data/scene_562/cam0.mp4", "dataset/kubric_data/scene_562/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Metal Sponge", "C) Large Rubber Gear", "D) Small Rubber Spot"], "answer": "C) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_565/cam0.mp4", "dataset/kubric_data/scene_565/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Small Rubber Spot", "B) Large Rubber Gear", "C) Huge Purple Sphere", "D) Large Rubber Teapot"], "answer": "B) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_565/cam0.mp4", "dataset/kubric_data/scene_565/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Large Rubber Knot", "B) Large Metal Sponge", "C) Large Rubber Gear", "D) Small Rubber Spot"], "answer": "C) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_565/cam0.mp4", "dataset/kubric_data/scene_565/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Large Rubber Gear", "B) Small Green Cube", "C) Small Rubber Spot", "D) Large White Cylinder"], "answer": "A) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_565/cam0.mp4", "dataset/kubric_data/scene_565/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Small Metal Teapot", "B) Small Metal Sphere", "C) Large Metal Cylinder", "D) Large Rubber Knot"], "answer": "C) Large Metal Cylinder", "videos": ["dataset/kubric_data/scene_567/cam0.mp4", "dataset/kubric_data/scene_567/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Large Rubber Cube", "B) Large Rubber Sphere", "C) Large Metal Suzanne", "D) Large Metal Teapot"], "answer": "D) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_572/cam0.mp4", "dataset/kubric_data/scene_572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large Rubber Cube", "B) Large Rubber Sphere", "C) Large Rubber Sponge", "D) Large Metal Suzanne"], "answer": "B) Large Rubber Sphere", "videos": ["dataset/kubric_data/scene_572/cam0.mp4", "dataset/kubric_data/scene_572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Metal Teapot", "B) Large Rubber Torus", "C) Small Metal Cone", "D) Large Metal Suzanne"], "answer": "B) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_572/cam0.mp4", "dataset/kubric_data/scene_572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Torus", "B) Large Metal Suzanne", "C) Large Metal Teapot", "D) Large Rubber Sphere"], "answer": "A) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_572/cam0.mp4", "dataset/kubric_data/scene_572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Large Metal Teapot", "C) Small Metal Cone", "D) Large Rubber Torus"], "answer": "D) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_572/cam0.mp4", "dataset/kubric_data/scene_572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Small Rubber Gear", "B) Large Metal Teapot", "C) Small Metal Cone", "D) Large Rubber Torus"], "answer": "D) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_572/cam0.mp4", "dataset/kubric_data/scene_572/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Small Rubber Gear", "B) Large Metal Suzanne", "C) Small Rubber Cone", "D) Large Rubber Teapot"], "answer": "C) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_578/cam0.mp4", "dataset/kubric_data/scene_578/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Small Rubber Gear", "B) Small Rubber Cone", "C) Large Rubber Teapot", "D) Small Green Sphere"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_578/cam0.mp4", "dataset/kubric_data/scene_578/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Rubber Teapot", "C) Small Metal Gear", "D) Large Rubber Cube"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_581/cam0.mp4", "dataset/kubric_data/scene_581/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Rubber Teapot", "C) Small Metal Gear", "D) Large Rubber Knot"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_581/cam0.mp4", "dataset/kubric_data/scene_581/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large White Sphere", "B) Small Metal Sphere", "C) Small Metal Gear", "D) Large Rubber Knot"], "answer": "D) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_581/cam0.mp4", "dataset/kubric_data/scene_581/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large Rubber Knot", "B) Small Metal Gear", "C) Large Rubber Cube", "D) Small Metal Sphere"], "answer": "A) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_581/cam0.mp4", "dataset/kubric_data/scene_581/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Rubber Teapot", "C) Large Rubber Knot", "D) Small Metal Gear"], "answer": "C) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_581/cam0.mp4", "dataset/kubric_data/scene_581/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Small Metal Knot", "C) Large Rubber Spot", "D) Large Metal Cone"], "answer": "C) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_583/cam0.mp4", "dataset/kubric_data/scene_583/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Green Sphere", "B) Large Rubber Spot", "C) Large Metal Cone", "D) Large Metal Sponge"], "answer": "B) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_583/cam0.mp4", "dataset/kubric_data/scene_583/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Metal Sponge", "B) Large Metal Cone", "C) Large Rubber Spot", "D) Small Metal Knot"], "answer": "C) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_583/cam0.mp4", "dataset/kubric_data/scene_583/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Green Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Blue Rubber Cube in the 3D space?", "options": ["A) Large White Sphere", "B) Small Green Cube", "C) Small Gray Rubber Cylinder", "D) Tiny Black Cylinder"], "answer": "C) Small Gray Rubber Cylinder", "videos": ["dataset/kubric_data/scene_59/cam0.mp4", "dataset/kubric_data/scene_59/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Gray Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Blue Rubber Cube in the 3D space?", "options": ["A) Small Green Sphere", "B) Huge Purple Cylinder", "C) Small Green Cylinder", "D) Large Green Rubber Sphere"], "answer": "D) Large Green Rubber Sphere", "videos": ["dataset/kubric_data/scene_59/cam0.mp4", "dataset/kubric_data/scene_59/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Small Rubber Gear", "B) Small Metal Sphere", "C) Small Rubber Spot", "D) Small Metal Suzanne"], "answer": "C) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_590/cam0.mp4", "dataset/kubric_data/scene_590/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Rubber Spot", "C) Small Metal Suzanne", "D) Small Rubber Gear"], "answer": "B) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_590/cam0.mp4", "dataset/kubric_data/scene_590/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Gear", "B) Small Rubber Spot", "C) Small Metal Suzanne", "D) Small Metal Sphere"], "answer": "D) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_590/cam0.mp4", "dataset/kubric_data/scene_590/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Spot", "B) Small Rubber Sponge", "C) Small Rubber Gear", "D) Small Metal Suzanne"], "answer": "C) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_590/cam0.mp4", "dataset/kubric_data/scene_590/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Small Metal Sphere", "C) Small Rubber Sponge", "D) Small Rubber Spot"], "answer": "B) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_590/cam0.mp4", "dataset/kubric_data/scene_590/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Rubber Gear", "C) Small Metal Suzanne", "D) Small Rubber Sponge"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_590/cam0.mp4", "dataset/kubric_data/scene_590/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Metal Cube", "C) Small Rubber Spot", "D) Large Rubber Sphere"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_594/cam0.mp4", "dataset/kubric_data/scene_594/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Cube", "B) Large Rubber Sphere", "C) Small Rubber Spot", "D) Large Metal Sponge"], "answer": "D) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_594/cam0.mp4", "dataset/kubric_data/scene_594/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Rubber Suzanne", "C) Small Rubber Teapot", "D) Small Rubber Sponge"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_595/cam0.mp4", "dataset/kubric_data/scene_595/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Small Rubber Teapot", "C) Small Rubber Sponge", "D) Small Metal Sphere"], "answer": "B) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_595/cam0.mp4", "dataset/kubric_data/scene_595/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Small Rubber Sponge", "C) Large Rubber Cube", "D) Small Rubber Teapot"], "answer": "D) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_595/cam0.mp4", "dataset/kubric_data/scene_595/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Torus in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Rubber Sponge", "C) Small Rubber Teapot", "D) Small Metal Sphere"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_595/cam0.mp4", "dataset/kubric_data/scene_595/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Metal Spot", "B) Large Metal Cone", "C) Large Rubber Knot", "D) Small Metal Cylinder"], "answer": "C) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_596/cam0.mp4", "dataset/kubric_data/scene_596/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Metal Spot", "C) Large Rubber Knot", "D) Large Metal Cone"], "answer": "C) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_596/cam0.mp4", "dataset/kubric_data/scene_596/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Metal Cone", "B) Small Metal Spot", "C) Large Rubber Cube", "D) Large Rubber Knot"], "answer": "D) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_596/cam0.mp4", "dataset/kubric_data/scene_596/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Small Rubber Cylinder", "C) Small Rubber Spot", "D) Large Rubber Teapot"], "answer": "A) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_600/cam0.mp4", "dataset/kubric_data/scene_600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Small Rubber Spot", "B) Small Rubber Sphere", "C) Small Rubber Cylinder", "D) Large Rubber Teapot"], "answer": "B) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_600/cam0.mp4", "dataset/kubric_data/scene_600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Small Green Cube", "C) Small Rubber Sphere", "D) Small Metal Sponge"], "answer": "A) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_600/cam0.mp4", "dataset/kubric_data/scene_600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Small Metal Cone", "B) Small Metal Sponge", "C) Small Rubber Spot", "D) Small Rubber Sphere"], "answer": "D) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_600/cam0.mp4", "dataset/kubric_data/scene_600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Small Green Cylinder", "B) Small Metal Sponge", "C) Large Rubber Teapot", "D) Small Rubber Sphere"], "answer": "C) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_600/cam0.mp4", "dataset/kubric_data/scene_600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Tiny Black Sphere", "C) Small Metal Sponge", "D) Large Rubber Teapot"], "answer": "D) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_600/cam0.mp4", "dataset/kubric_data/scene_600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Small Rubber Spot", "B) Small Metal Cone", "C) Small Metal Sponge", "D) Large Rubber Teapot"], "answer": "D) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_600/cam0.mp4", "dataset/kubric_data/scene_600/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Cone", "B) Small Rubber Spot", "C) Large Rubber Sphere", "D) Small Metal Suzanne"], "answer": "B) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_604/cam0.mp4", "dataset/kubric_data/scene_604/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Large Metal Torus", "C) Small Rubber Suzanne", "D) Large Metal Sphere"], "answer": "A) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_606/cam0.mp4", "dataset/kubric_data/scene_606/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Metal Sphere", "C) Small Rubber Suzanne", "D) Large Rubber Cylinder"], "answer": "D) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_606/cam0.mp4", "dataset/kubric_data/scene_606/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Metal Gear", "C) Small Metal Teapot", "D) Small Metal Knot"], "answer": "A) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_609/cam0.mp4", "dataset/kubric_data/scene_609/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Metal Knot", "C) Small Metal Gear", "D) Large Metal Sphere"], "answer": "B) Small Metal Knot", "videos": ["dataset/kubric_data/scene_609/cam0.mp4", "dataset/kubric_data/scene_609/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Large Metal Sphere", "B) Small Metal Teapot", "C) Small Rubber Sponge", "D) Small Metal Knot"], "answer": "D) Small Metal Knot", "videos": ["dataset/kubric_data/scene_609/cam0.mp4", "dataset/kubric_data/scene_609/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Metal Sphere", "C) Small Metal Teapot", "D) Small Metal Gear"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_609/cam0.mp4", "dataset/kubric_data/scene_609/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Metal Spot", "B) Large Rubber Cylinder", "C) Large White Cube", "D) Small Rubber Sphere"], "answer": "D) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_611/cam0.mp4", "dataset/kubric_data/scene_611/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Huge Purple Sphere", "B) Tiny Black Cylinder", "C) Small Rubber Sphere", "D) Large Metal Spot"], "answer": "C) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_611/cam0.mp4", "dataset/kubric_data/scene_611/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Large Rubber Torus", "C) Large Metal Spot", "D) Huge Purple Cube"], "answer": "A) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_611/cam0.mp4", "dataset/kubric_data/scene_611/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Rubber Torus", "B) Small Metal Sphere", "C) Large Metal Spot", "D) Large Metal Gear"], "answer": "D) Large Metal Gear", "videos": ["dataset/kubric_data/scene_619/cam0.mp4", "dataset/kubric_data/scene_619/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Sphere", "B) Large Metal Spot", "C) Large Metal Gear", "D) Large Rubber Torus"], "answer": "C) Large Metal Gear", "videos": ["dataset/kubric_data/scene_619/cam0.mp4", "dataset/kubric_data/scene_619/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Metal Sponge", "C) Small Metal Sphere", "D) Large Metal Spot"], "answer": "C) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_619/cam0.mp4", "dataset/kubric_data/scene_619/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Large Metal Cube", "C) Large Metal Torus", "D) Small Metal Teapot"], "answer": "A) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_621/cam0.mp4", "dataset/kubric_data/scene_621/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Metal Teapot", "B) Small Rubber Spot", "C) Large Metal Torus", "D) Small Rubber Sponge"], "answer": "D) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_621/cam0.mp4", "dataset/kubric_data/scene_621/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Rubber Cone", "B) Small Metal Knot", "C) Large Metal Gear", "D) Large Rubber Torus"], "answer": "D) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_622/cam0.mp4", "dataset/kubric_data/scene_622/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Rubber Cone", "C) Small Metal Teapot", "D) Large Metal Spot"], "answer": "C) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_622/cam0.mp4", "dataset/kubric_data/scene_622/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Large Rubber Cube", "C) Small Metal Gear", "D) Small Metal Spot"], "answer": "C) Small Metal Gear", "videos": ["dataset/kubric_data/scene_624/cam0.mp4", "dataset/kubric_data/scene_624/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Small Metal Spot", "B) Large Rubber Cube", "C) Large Rubber Suzanne", "D) Small Metal Gear"], "answer": "D) Small Metal Gear", "videos": ["dataset/kubric_data/scene_624/cam0.mp4", "dataset/kubric_data/scene_624/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Rubber Cube", "C) Large Rubber Cone", "D) Large Metal Spot"], "answer": "A) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_625/cam0.mp4", "dataset/kubric_data/scene_625/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Metal Sponge", "C) Large Metal Spot", "D) Large Rubber Cube"], "answer": "A) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_625/cam0.mp4", "dataset/kubric_data/scene_625/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Metal Sponge", "B) Large Rubber Cone", "C) Large Metal Spot", "D) Large Rubber Cube"], "answer": "A) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_625/cam0.mp4", "dataset/kubric_data/scene_625/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Rubber Cone", "B) Large Metal Suzanne", "C) Large Metal Spot", "D) Large Rubber Sphere"], "answer": "B) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_626/cam0.mp4", "dataset/kubric_data/scene_626/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Large Metal Spot", "C) Large Rubber Cone", "D) Large Metal Suzanne"], "answer": "D) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_626/cam0.mp4", "dataset/kubric_data/scene_626/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Rubber Cone", "B) Large Rubber Cylinder", "C) Large Rubber Sphere", "D) Large Metal Spot"], "answer": "D) Large Metal Spot", "videos": ["dataset/kubric_data/scene_626/cam0.mp4", "dataset/kubric_data/scene_626/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Rubber Cone", "B) Large Rubber Sphere", "C) Large Metal Suzanne", "D) Small Green Sphere"], "answer": "C) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_626/cam0.mp4", "dataset/kubric_data/scene_626/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Metal Knot", "C) Tiny Black Sphere", "D) Huge Purple Cylinder"], "answer": "B) Large Metal Knot", "videos": ["dataset/kubric_data/scene_631/cam0.mp4", "dataset/kubric_data/scene_631/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large White Cylinder", "B) Small Metal Sphere", "C) Large White Sphere", "D) Large Rubber Teapot"], "answer": "B) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_631/cam0.mp4", "dataset/kubric_data/scene_631/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Small Rubber Gear", "C) Large Rubber Torus", "D) Small Rubber Cone"], "answer": "A) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_637/cam0.mp4", "dataset/kubric_data/scene_637/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Large Metal Spot", "C) Large Rubber Torus", "D) Small Rubber Cone"], "answer": "A) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_637/cam0.mp4", "dataset/kubric_data/scene_637/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Large Rubber Torus", "C) Small Rubber Cone", "D) Small Rubber Gear"], "answer": "B) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_637/cam0.mp4", "dataset/kubric_data/scene_637/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Small Metal Gear", "B) Small Metal Suzanne", "C) Large Rubber Spot", "D) Small Rubber Sphere"], "answer": "D) Small Rubber Sphere", "videos": ["dataset/kubric_data/scene_645/cam0.mp4", "dataset/kubric_data/scene_645/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Small Rubber Gear", "B) Small Metal Knot", "C) Large Rubber Suzanne", "D) Small Rubber Cylinder"], "answer": "B) Small Metal Knot", "videos": ["dataset/kubric_data/scene_646/cam0.mp4", "dataset/kubric_data/scene_646/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Rubber Gear", "C) Small Metal Knot", "D) Large Rubber Teapot"], "answer": "C) Small Metal Knot", "videos": ["dataset/kubric_data/scene_646/cam0.mp4", "dataset/kubric_data/scene_646/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Small Rubber Gear", "B) Small Metal Knot", "C) Small Rubber Cylinder", "D) Large Rubber Teapot"], "answer": "B) Small Metal Knot", "videos": ["dataset/kubric_data/scene_646/cam0.mp4", "dataset/kubric_data/scene_646/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Large White Cube", "B) Small Metal Cone", "C) Small Green Cylinder", "D) Small Metal Knot"], "answer": "D) Small Metal Knot", "videos": ["dataset/kubric_data/scene_646/cam0.mp4", "dataset/kubric_data/scene_646/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Metal Knot", "C) Large Rubber Teapot", "D) Small Rubber Cylinder"], "answer": "C) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_646/cam0.mp4", "dataset/kubric_data/scene_646/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Rubber Cylinder", "C) Small Metal Knot", "D) Large Rubber Teapot"], "answer": "D) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_646/cam0.mp4", "dataset/kubric_data/scene_646/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Large Metal Cylinder", "B) Large Metal Cube", "C) Small Metal Sponge", "D) Large Metal Spot"], "answer": "A) Large Metal Cylinder", "videos": ["dataset/kubric_data/scene_651/cam0.mp4", "dataset/kubric_data/scene_651/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Large Metal Cylinder", "B) Large Metal Spot", "C) Small Metal Sponge", "D) Small Metal Torus"], "answer": "A) Large Metal Cylinder", "videos": ["dataset/kubric_data/scene_651/cam0.mp4", "dataset/kubric_data/scene_651/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Rubber Torus", "B) Large Rubber Teapot", "C) Large Rubber Sphere", "D) Large Metal Cone"], "answer": "C) Large Rubber Sphere", "videos": ["dataset/kubric_data/scene_652/cam0.mp4", "dataset/kubric_data/scene_652/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Spot in the 3D space?", "options": ["A) Large Rubber Cone", "B) Small Metal Suzanne", "C) Large Metal Cube", "D) Large Rubber Torus"], "answer": "B) Small Metal Suzanne", "videos": ["dataset/kubric_data/scene_655/cam0.mp4", "dataset/kubric_data/scene_655/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Small Metal Suzanne in the 3D space?", "options": ["A) Large Rubber Spot", "B) Large Rubber Torus", "C) Large Rubber Cone", "D) Large Metal Cube"], "answer": "A) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_655/cam0.mp4", "dataset/kubric_data/scene_655/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Large Rubber Sponge", "C) Large Rubber Knot", "D) Large Metal Gear"], "answer": "D) Large Metal Gear", "videos": ["dataset/kubric_data/scene_658/cam0.mp4", "dataset/kubric_data/scene_658/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Rubber Spot", "C) Small Rubber Sponge", "D) Large Rubber Teapot"], "answer": "A) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_663/cam0.mp4", "dataset/kubric_data/scene_663/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Rubber Spot", "C) Large White Cylinder", "D) Large Rubber Teapot"], "answer": "B) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_663/cam0.mp4", "dataset/kubric_data/scene_663/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Rubber Spot", "C) Large Rubber Teapot", "D) Small Metal Torus"], "answer": "B) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_663/cam0.mp4", "dataset/kubric_data/scene_663/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large Metal Knot", "B) Small Metal Suzanne", "C) Small Metal Cone", "D) Small Metal Gear"], "answer": "C) Small Metal Cone", "videos": ["dataset/kubric_data/scene_668/cam0.mp4", "dataset/kubric_data/scene_668/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Knot", "B) Large Rubber Spot", "C) Small Metal Suzanne", "D) Large Metal Teapot"], "answer": "B) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_670/cam0.mp4", "dataset/kubric_data/scene_670/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Spot", "B) Small Metal Suzanne", "C) Large Rubber Knot", "D) Large Rubber Sphere"], "answer": "D) Large Rubber Sphere", "videos": ["dataset/kubric_data/scene_670/cam0.mp4", "dataset/kubric_data/scene_670/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Metal Sponge", "B) Small Metal Suzanne", "C) Small Rubber Knot", "D) Large Metal Cylinder"], "answer": "C) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_672/cam0.mp4", "dataset/kubric_data/scene_672/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Small Metal Sponge", "C) Large Metal Cylinder", "D) Small Rubber Spot"], "answer": "B) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_672/cam0.mp4", "dataset/kubric_data/scene_672/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Teapot in the 3D space?", "options": ["A) Small Metal Sponge", "B) Large Metal Cylinder", "C) Small Rubber Spot", "D) Small Rubber Knot"], "answer": "D) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_672/cam0.mp4", "dataset/kubric_data/scene_672/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Metal Cube", "C) Large Metal Cylinder", "D) Large Rubber Knot"], "answer": "C) Large Metal Cylinder", "videos": ["dataset/kubric_data/scene_673/cam0.mp4", "dataset/kubric_data/scene_673/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Small Metal Cube", "C) Small Metal Torus", "D) Large Rubber Knot"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_673/cam0.mp4", "dataset/kubric_data/scene_673/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Metal Cube", "C) Large Metal Cylinder", "D) Large Rubber Knot"], "answer": "C) Large Metal Cylinder", "videos": ["dataset/kubric_data/scene_673/cam0.mp4", "dataset/kubric_data/scene_673/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Large Metal Teapot", "C) Small Metal Cylinder", "D) Large Rubber Torus"], "answer": "B) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_691/cam0.mp4", "dataset/kubric_data/scene_691/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Small Rubber Suzanne", "C) Large Rubber Torus", "D) Large Metal Teapot"], "answer": "D) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_691/cam0.mp4", "dataset/kubric_data/scene_691/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Torus", "B) Large White Sphere", "C) Large Metal Teapot", "D) Small Rubber Suzanne"], "answer": "D) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_691/cam0.mp4", "dataset/kubric_data/scene_691/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Small Rubber Torus", "B) Small Rubber Teapot", "C) Small Metal Sphere", "D) Small Metal Cone"], "answer": "C) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_695/cam0.mp4", "dataset/kubric_data/scene_695/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Small Metal Sphere", "B) Large White Sphere", "C) Small Rubber Teapot", "D) Large White Cube"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_695/cam0.mp4", "dataset/kubric_data/scene_695/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Large Rubber Knot", "C) Small Rubber Teapot", "D) Small Metal Sphere"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_695/cam0.mp4", "dataset/kubric_data/scene_695/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Rubber Teapot", "C) Small Metal Suzanne", "D) Large Rubber Spot"], "answer": "B) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_699/cam0.mp4", "dataset/kubric_data/scene_699/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Tiny Black Cube", "B) Small Metal Gear", "C) Large Rubber Cone", "D) Small Rubber Teapot"], "answer": "D) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_699/cam0.mp4", "dataset/kubric_data/scene_699/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Rubber Teapot", "C) Small Metal Gear", "D) Large White Sphere"], "answer": "B) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_699/cam0.mp4", "dataset/kubric_data/scene_699/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large Rubber Cube", "C) Large Rubber Cone", "D) Small Metal Gear"], "answer": "A) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_699/cam0.mp4", "dataset/kubric_data/scene_699/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Metal Gear", "B) Small Metal Knot", "C) Small Metal Suzanne", "D) Large Rubber Cone"], "answer": "B) Small Metal Knot", "videos": ["dataset/kubric_data/scene_699/cam0.mp4", "dataset/kubric_data/scene_699/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Metal Gear", "B) Small Metal Knot", "C) Small Rubber Teapot", "D) Small Metal Suzanne"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_699/cam0.mp4", "dataset/kubric_data/scene_699/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Metal Sphere", "B) Small Metal Teapot", "C) Small Metal Gear", "D) Small Metal Cube"], "answer": "C) Small Metal Gear", "videos": ["dataset/kubric_data/scene_706/cam0.mp4", "dataset/kubric_data/scene_706/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Teapot", "B) Small Metal Gear", "C) Small Metal Torus", "D) Large Metal Sphere"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_706/cam0.mp4", "dataset/kubric_data/scene_706/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Small Metal Teapot", "B) Small Metal Cone", "C) Large Rubber Knot", "D) Large Metal Sponge"], "answer": "A) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_712/cam0.mp4", "dataset/kubric_data/scene_712/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Small Metal Teapot", "B) Large Rubber Knot", "C) Large Metal Sponge", "D) Small Metal Cone"], "answer": "A) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_712/cam0.mp4", "dataset/kubric_data/scene_712/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Large Metal Sponge", "B) Small Green Cube", "C) Small Metal Cone", "D) Large Rubber Cylinder"], "answer": "A) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_712/cam0.mp4", "dataset/kubric_data/scene_712/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Small Metal Cone", "C) Huge Purple Cylinder", "D) Huge Purple Sphere"], "answer": "B) Small Metal Cone", "videos": ["dataset/kubric_data/scene_712/cam0.mp4", "dataset/kubric_data/scene_712/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Large Metal Sponge", "B) Small Metal Teapot", "C) Large Rubber Knot", "D) Large Rubber Cylinder"], "answer": "B) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_712/cam0.mp4", "dataset/kubric_data/scene_712/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Small Metal Cone", "B) Large Rubber Knot", "C) Large Metal Sponge", "D) Large Rubber Cylinder"], "answer": "C) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_712/cam0.mp4", "dataset/kubric_data/scene_712/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Teapot in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Metal Suzanne", "C) Large Metal Spot", "D) Small Rubber Gear"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_721/cam0.mp4", "dataset/kubric_data/scene_721/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Teapot in the 3D space?", "options": ["A) Small Rubber Gear", "B) Large Metal Spot", "C) Small Metal Torus", "D) Small Metal Suzanne"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_721/cam0.mp4", "dataset/kubric_data/scene_721/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Rubber Teapot in the 3D space?", "options": ["A) Small Metal Torus", "B) Large Rubber Cube", "C) Small Rubber Gear", "D) Large Metal Spot"], "answer": "D) Large Metal Spot", "videos": ["dataset/kubric_data/scene_721/cam0.mp4", "dataset/kubric_data/scene_721/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Metal Gear", "B) Small Metal Torus", "C) Large Metal Cone", "D) Large Rubber Sphere"], "answer": "D) Large Rubber Sphere", "videos": ["dataset/kubric_data/scene_723/cam0.mp4", "dataset/kubric_data/scene_723/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Small Metal Torus", "B) Large Metal Cylinder", "C) Tiny Black Cylinder", "D) Large Rubber Sphere"], "answer": "D) Large Rubber Sphere", "videos": ["dataset/kubric_data/scene_723/cam0.mp4", "dataset/kubric_data/scene_723/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Large White Sphere", "B) Huge Purple Cube", "C) Large Metal Cylinder", "D) Large Rubber Sphere"], "answer": "D) Large Rubber Sphere", "videos": ["dataset/kubric_data/scene_723/cam0.mp4", "dataset/kubric_data/scene_723/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Large Metal Cube", "C) Small Metal Spot", "D) Small Metal Knot"], "answer": "D) Small Metal Knot", "videos": ["dataset/kubric_data/scene_724/cam0.mp4", "dataset/kubric_data/scene_724/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Metal Cube", "C) Large Rubber Gear", "D) Large Rubber Cylinder"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_724/cam0.mp4", "dataset/kubric_data/scene_724/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Gear", "B) Small Metal Spot", "C) Large Metal Cube", "D) Small Metal Knot"], "answer": "D) Small Metal Knot", "videos": ["dataset/kubric_data/scene_724/cam0.mp4", "dataset/kubric_data/scene_724/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Gear", "B) Large Metal Cube", "C) Small Metal Knot", "D) Large Rubber Cylinder"], "answer": "C) Small Metal Knot", "videos": ["dataset/kubric_data/scene_724/cam0.mp4", "dataset/kubric_data/scene_724/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Metal Gear", "B) Small Rubber Cone", "C) Small Metal Torus", "D) Small Metal Sphere"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_726/cam0.mp4", "dataset/kubric_data/scene_726/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Metal Teapot", "C) Small Metal Torus", "D) Small Metal Sphere"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_726/cam0.mp4", "dataset/kubric_data/scene_726/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Rubber Cone", "B) Large Metal Teapot", "C) Small Metal Sphere", "D) Small Metal Torus"], "answer": "D) Small Metal Torus", "videos": ["dataset/kubric_data/scene_726/cam0.mp4", "dataset/kubric_data/scene_726/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Metal Torus", "B) Large Metal Teapot", "C) Small Metal Sphere", "D) Small Rubber Cone"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_726/cam0.mp4", "dataset/kubric_data/scene_726/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Metal Teapot", "B) Small Rubber Cone", "C) Small Metal Torus", "D) Large Rubber Spot"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_726/cam0.mp4", "dataset/kubric_data/scene_726/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Metal Spot", "C) Large Rubber Knot", "D) Large Metal Sphere"], "answer": "A) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_727/cam0.mp4", "dataset/kubric_data/scene_727/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Suzanne in the 3D space?", "options": ["A) Large Rubber Cube", "B) Large Rubber Knot", "C) Small Metal Spot", "D) Large Metal Teapot"], "answer": "A) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_727/cam0.mp4", "dataset/kubric_data/scene_727/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large Metal Cylinder", "C) Small Metal Torus", "D) Small Metal Knot"], "answer": "A) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_729/cam0.mp4", "dataset/kubric_data/scene_729/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Metal Torus", "C) Large Metal Cylinder", "D) Large Metal Gear"], "answer": "B) Small Metal Torus", "videos": ["dataset/kubric_data/scene_729/cam0.mp4", "dataset/kubric_data/scene_729/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Rubber Spot", "C) Small Metal Cube", "D) Large Metal Cone"], "answer": "A) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_730/cam0.mp4", "dataset/kubric_data/scene_730/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Rubber Sponge", "C) Small Metal Cube", "D) Large Metal Cone"], "answer": "A) Large Metal Suzanne", "videos": ["dataset/kubric_data/scene_730/cam0.mp4", "dataset/kubric_data/scene_730/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Gear in the 3D space?", "options": ["A) Large Metal Cube", "B) Large Metal Sphere", "C) Small Metal Torus", "D) Small Rubber Suzanne"], "answer": "D) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_732/cam0.mp4", "dataset/kubric_data/scene_732/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Rubber Gear in the 3D space?", "options": ["A) Large Metal Sphere", "B) Small Metal Torus", "C) Large Rubber Teapot", "D) Small Rubber Suzanne"], "answer": "C) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_732/cam0.mp4", "dataset/kubric_data/scene_732/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Metal Suzanne", "C) Large Metal Torus", "D) Small Metal Gear"], "answer": "D) Small Metal Gear", "videos": ["dataset/kubric_data/scene_734/cam0.mp4", "dataset/kubric_data/scene_734/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Large Metal Torus", "B) Large Metal Suzanne", "C) Small Metal Cone", "D) Small Metal Sponge"], "answer": "C) Small Metal Cone", "videos": ["dataset/kubric_data/scene_734/cam0.mp4", "dataset/kubric_data/scene_734/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Metal Cone", "C) Huge Purple Cube", "D) Small Metal Sponge"], "answer": "D) Small Metal Sponge", "videos": ["dataset/kubric_data/scene_734/cam0.mp4", "dataset/kubric_data/scene_734/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Rubber Suzanne", "C) Large Rubber Gear", "D) Large Rubber Sphere"], "answer": "B) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_739/cam0.mp4", "dataset/kubric_data/scene_739/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Rubber Suzanne", "C) Large Rubber Gear", "D) Large Rubber Sphere"], "answer": "B) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_739/cam0.mp4", "dataset/kubric_data/scene_739/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Huge Purple Cube", "B) Large White Sphere", "C) Large Rubber Gear", "D) Small Rubber Cone"], "answer": "D) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_739/cam0.mp4", "dataset/kubric_data/scene_739/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Small Metal Cylinder", "C) Large Rubber Gear", "D) Large Rubber Suzanne"], "answer": "D) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_739/cam0.mp4", "dataset/kubric_data/scene_739/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Large Metal Cube", "B) Large Rubber Suzanne", "C) Large Metal Sponge", "D) Small Rubber Cone"], "answer": "A) Large Metal Cube", "videos": ["dataset/kubric_data/scene_739/cam0.mp4", "dataset/kubric_data/scene_739/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Rubber Knot", "B) Large Metal Torus", "C) Small Metal Teapot", "D) Small Rubber Cylinder"], "answer": "B) Large Metal Torus", "videos": ["dataset/kubric_data/scene_741/cam0.mp4", "dataset/kubric_data/scene_741/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Teapot in the 3D space?", "options": ["A) Tiny Black Sphere", "B) Large White Cylinder", "C) Huge Purple Cube", "D) Large Metal Torus"], "answer": "D) Large Metal Torus", "videos": ["dataset/kubric_data/scene_741/cam0.mp4", "dataset/kubric_data/scene_741/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Rubber Cylinder", "C) Small Metal Spot", "D) Small Metal Teapot"], "answer": "A) Large Metal Torus", "videos": ["dataset/kubric_data/scene_741/cam0.mp4", "dataset/kubric_data/scene_741/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Small Metal Teapot in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Green Cube", "C) Large Metal Torus", "D) Large Rubber Cube"], "answer": "A) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_741/cam0.mp4", "dataset/kubric_data/scene_741/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Small Metal Cone", "C) Large Metal Cube", "D) Large Rubber Cylinder"], "answer": "A) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_751/cam0.mp4", "dataset/kubric_data/scene_751/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Large Metal Spot", "B) Large Rubber Teapot", "C) Large Metal Cube", "D) Tiny Black Sphere"], "answer": "B) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_751/cam0.mp4", "dataset/kubric_data/scene_751/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Small Metal Cone", "B) Large Metal Cube", "C) Large Rubber Cylinder", "D) Large Metal Spot"], "answer": "A) Small Metal Cone", "videos": ["dataset/kubric_data/scene_751/cam0.mp4", "dataset/kubric_data/scene_751/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Rubber Cylinder", "C) Large Metal Cube", "D) Large Metal Spot"], "answer": "A) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_751/cam0.mp4", "dataset/kubric_data/scene_751/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Large Metal Cube", "B) Large Metal Spot", "C) Large Rubber Teapot", "D) Small Metal Cone"], "answer": "C) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_751/cam0.mp4", "dataset/kubric_data/scene_751/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Cube", "B) Large Metal Sphere", "C) Small Rubber Teapot", "D) Small Rubber Suzanne"], "answer": "A) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_767/cam0.mp4", "dataset/kubric_data/scene_767/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Rubber Cube", "C) Large Metal Sphere", "D) Small Rubber Suzanne"], "answer": "B) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_767/cam0.mp4", "dataset/kubric_data/scene_767/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Cube", "B) Tiny Black Sphere", "C) Small Rubber Spot", "D) Small Green Cylinder"], "answer": "A) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_767/cam0.mp4", "dataset/kubric_data/scene_767/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Cube", "B) Huge Purple Sphere", "C) Small Rubber Spot", "D) Large Metal Sphere"], "answer": "A) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_767/cam0.mp4", "dataset/kubric_data/scene_767/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Cube", "B) Huge Purple Cube", "C) Small Rubber Spot", "D) Large Metal Sphere"], "answer": "A) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_767/cam0.mp4", "dataset/kubric_data/scene_767/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Large Rubber Suzanne", "C) Large Metal Torus", "D) Large Metal Cone"], "answer": "B) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_773/cam0.mp4", "dataset/kubric_data/scene_773/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cube in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Metal Sponge", "C) Large Metal Cone", "D) Large Metal Torus"], "answer": "A) Large Rubber Suzanne", "videos": ["dataset/kubric_data/scene_773/cam0.mp4", "dataset/kubric_data/scene_773/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sphere in the 3D space?", "options": ["A) Large Metal Cube", "B) Large Rubber Cylinder", "C) Small Rubber Cone", "D) Small Metal Knot"], "answer": "B) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_777/cam0.mp4", "dataset/kubric_data/scene_777/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sphere in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Metal Knot", "C) Large Rubber Cylinder", "D) Small Rubber Cone"], "answer": "C) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_777/cam0.mp4", "dataset/kubric_data/scene_777/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Rubber Suzanne", "C) Large Metal Cube", "D) Large Rubber Cylinder"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_777/cam0.mp4", "dataset/kubric_data/scene_777/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Large Rubber Teapot", "C) Small Rubber Cube", "D) Large Metal Cylinder"], "answer": "A) Small Metal Suzanne", "videos": ["dataset/kubric_data/scene_779/cam0.mp4", "dataset/kubric_data/scene_779/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Small Green Cube", "B) Small Metal Suzanne", "C) Large Rubber Teapot", "D) Large White Cube"], "answer": "C) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_779/cam0.mp4", "dataset/kubric_data/scene_779/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cone in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Tiny Black Sphere", "C) Large Rubber Teapot", "D) Small Rubber Cube"], "answer": "A) Small Metal Suzanne", "videos": ["dataset/kubric_data/scene_779/cam0.mp4", "dataset/kubric_data/scene_779/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Large Metal Cone", "B) Large Rubber Teapot", "C) Huge Purple Cube", "D) Tiny Black Cylinder"], "answer": "B) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_779/cam0.mp4", "dataset/kubric_data/scene_779/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Large Metal Cube", "B) Small Metal Knot", "C) Large Rubber Sponge", "D) Small Rubber Cone"], "answer": "D) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_794/cam0.mp4", "dataset/kubric_data/scene_794/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Small Metal Torus", "B) Large White Cylinder", "C) Large Rubber Sponge", "D) Huge Purple Sphere"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_794/cam0.mp4", "dataset/kubric_data/scene_794/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Large Metal Sphere", "B) Huge Purple Cylinder", "C) Large Rubber Sponge", "D) Small Green Cylinder"], "answer": "A) Large Metal Sphere", "videos": ["dataset/kubric_data/scene_794/cam0.mp4", "dataset/kubric_data/scene_794/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Yellow Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Yellow Metal Cube in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Small Blue Rubber Sphere", "C) Huge Purple Sphere", "D) Tiny Black Sphere"], "answer": "B) Small Blue Rubber Sphere", "videos": ["dataset/kubric_data/scene_8/cam0.mp4", "dataset/kubric_data/scene_8/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Rubber Gear in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Metal Cube", "C) Small Rubber Teapot", "D) Large Rubber Cone"], "answer": "B) Small Metal Cube", "videos": ["dataset/kubric_data/scene_800/cam0.mp4", "dataset/kubric_data/scene_800/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Gear in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large Rubber Suzanne", "C) Small Rubber Cylinder", "D) Small Metal Cube"], "answer": "D) Small Metal Cube", "videos": ["dataset/kubric_data/scene_800/cam0.mp4", "dataset/kubric_data/scene_800/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Rubber Gear in the 3D space?", "options": ["A) Small Green Cube", "B) Small Metal Cube", "C) Small Rubber Teapot", "D) Large Rubber Cone"], "answer": "B) Small Metal Cube", "videos": ["dataset/kubric_data/scene_800/cam0.mp4", "dataset/kubric_data/scene_800/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Cone", "B) Large Rubber Torus", "C) Small Rubber Sphere", "D) Small Rubber Knot"], "answer": "B) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_807/cam0.mp4", "dataset/kubric_data/scene_807/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Small Rubber Knot", "C) Large Rubber Cone", "D) Large Rubber Torus"], "answer": "A) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_807/cam0.mp4", "dataset/kubric_data/scene_807/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Rubber Knot", "B) Large Rubber Teapot", "C) Large Rubber Torus", "D) Small Metal Cube"], "answer": "B) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_807/cam0.mp4", "dataset/kubric_data/scene_807/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Green Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Brown Metal Cylinder in the 3D space?", "options": ["A) Small Green Cube", "B) Huge Purple Cylinder", "C) Large Cyan Metal Sphere", "D) Tiny Black Cube"], "answer": "C) Large Cyan Metal Sphere", "videos": ["dataset/kubric_data/scene_81/cam0.mp4", "dataset/kubric_data/scene_81/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Spot in the 3D space?", "options": ["A) Small Rubber Cylinder", "B) Small Rubber Torus", "C) Large Rubber Cube", "D) Small Metal Knot"], "answer": "A) Small Rubber Cylinder", "videos": ["dataset/kubric_data/scene_810/cam0.mp4", "dataset/kubric_data/scene_810/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Spot", "B) Small Metal Cylinder", "C) Large Metal Sphere", "D) Large Metal Suzanne"], "answer": "B) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_814/cam0.mp4", "dataset/kubric_data/scene_814/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Metal Suzanne", "C) Large Metal Sphere", "D) Small Metal Cone"], "answer": "A) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_814/cam0.mp4", "dataset/kubric_data/scene_814/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Small Rubber Cube", "B) Small Rubber Sphere", "C) Small Rubber Gear", "D) Large Metal Sponge"], "answer": "A) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_820/cam0.mp4", "dataset/kubric_data/scene_820/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Huge Purple Sphere", "B) Large Metal Sponge", "C) Small Rubber Sphere", "D) Small Rubber Cube"], "answer": "D) Small Rubber Cube", "videos": ["dataset/kubric_data/scene_820/cam0.mp4", "dataset/kubric_data/scene_820/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Tiny Black Cube", "B) Small Rubber Cube", "C) Small Rubber Gear", "D) Large Metal Sponge"], "answer": "D) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_820/cam0.mp4", "dataset/kubric_data/scene_820/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Torus", "B) Large Metal Cone", "C) Large Metal Suzanne", "D) Small Metal Cube"], "answer": "B) Large Metal Cone", "videos": ["dataset/kubric_data/scene_825/cam0.mp4", "dataset/kubric_data/scene_825/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Large Rubber Torus", "C) Large Metal Cone", "D) Small Metal Cube"], "answer": "C) Large Metal Cone", "videos": ["dataset/kubric_data/scene_825/cam0.mp4", "dataset/kubric_data/scene_825/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Torus", "B) Huge Purple Sphere", "C) Small Metal Cube", "D) Large Metal Cone"], "answer": "D) Large Metal Cone", "videos": ["dataset/kubric_data/scene_825/cam0.mp4", "dataset/kubric_data/scene_825/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Metal Cone", "B) Large White Sphere", "C) Huge Purple Cube", "D) Small Green Cube"], "answer": "A) Large Metal Cone", "videos": ["dataset/kubric_data/scene_825/cam0.mp4", "dataset/kubric_data/scene_825/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Metal Cone", "B) Large Rubber Torus", "C) Huge Purple Sphere", "D) Large White Cylinder"], "answer": "A) Large Metal Cone", "videos": ["dataset/kubric_data/scene_825/cam0.mp4", "dataset/kubric_data/scene_825/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Cube", "B) Small Metal Torus", "C) Large Rubber Spot", "D) Large Rubber Teapot"], "answer": "B) Small Metal Torus", "videos": ["dataset/kubric_data/scene_827/cam0.mp4", "dataset/kubric_data/scene_827/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Cone", "B) Large Rubber Spot", "C) Small Metal Torus", "D) Huge Purple Cylinder"], "answer": "C) Small Metal Torus", "videos": ["dataset/kubric_data/scene_827/cam0.mp4", "dataset/kubric_data/scene_827/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Spot", "B) Huge Purple Cylinder", "C) Small Green Cylinder", "D) Small Metal Torus"], "answer": "D) Small Metal Torus", "videos": ["dataset/kubric_data/scene_827/cam0.mp4", "dataset/kubric_data/scene_827/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Metal Sphere", "B) Tiny Black Cube", "C) Small Green Cylinder", "D) Small Metal Torus"], "answer": "D) Small Metal Torus", "videos": ["dataset/kubric_data/scene_827/cam0.mp4", "dataset/kubric_data/scene_827/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Green Cylinder", "B) Large Rubber Spot", "C) Large Rubber Cone", "D) Small Metal Torus"], "answer": "D) Small Metal Torus", "videos": ["dataset/kubric_data/scene_827/cam0.mp4", "dataset/kubric_data/scene_827/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Cone", "B) Large Rubber Teapot", "C) Large Rubber Spot", "D) Small Rubber Cube"], "answer": "B) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_827/cam0.mp4", "dataset/kubric_data/scene_827/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Small Metal Spot", "C) Large Rubber Torus", "D) Large Metal Cone"], "answer": "C) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_829/cam0.mp4", "dataset/kubric_data/scene_829/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Metal Sponge", "B) Large Metal Cone", "C) Small Metal Knot", "D) Small Metal Spot"], "answer": "D) Small Metal Spot", "videos": ["dataset/kubric_data/scene_829/cam0.mp4", "dataset/kubric_data/scene_829/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Cube", "B) Large Metal Sponge", "C) Large Rubber Torus", "D) Large Metal Cone"], "answer": "C) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_829/cam0.mp4", "dataset/kubric_data/scene_829/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Spot", "B) Large Metal Sponge", "C) Small Rubber Cube", "D) Large Rubber Torus"], "answer": "D) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_829/cam0.mp4", "dataset/kubric_data/scene_829/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Cone", "B) Small Rubber Torus", "C) Small Metal Suzanne", "D) Small Metal Cube"], "answer": "B) Small Rubber Torus", "videos": ["dataset/kubric_data/scene_830/cam0.mp4", "dataset/kubric_data/scene_830/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Large Rubber Cone", "B) Small Metal Cube", "C) Small Metal Suzanne", "D) Small Rubber Torus"], "answer": "D) Small Rubber Torus", "videos": ["dataset/kubric_data/scene_830/cam0.mp4", "dataset/kubric_data/scene_830/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Metal Cylinder", "B) Small Metal Cube", "C) Large Metal Sphere", "D) Small Metal Knot"], "answer": "D) Small Metal Knot", "videos": ["dataset/kubric_data/scene_830/cam0.mp4", "dataset/kubric_data/scene_830/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Sponge in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Metal Cube", "C) Small Rubber Teapot", "D) Small Rubber Cylinder"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_832/cam0.mp4", "dataset/kubric_data/scene_832/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Sponge in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Rubber Teapot", "C) Small Rubber Cylinder", "D) Small Metal Cube"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_832/cam0.mp4", "dataset/kubric_data/scene_832/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Teapot in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Metal Torus", "C) Small Green Cylinder", "D) Large White Cube"], "answer": "B) Small Metal Torus", "videos": ["dataset/kubric_data/scene_832/cam0.mp4", "dataset/kubric_data/scene_832/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Metal Sponge in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Metal Cube", "C) Large Metal Suzanne", "D) Small Rubber Teapot"], "answer": "D) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_832/cam0.mp4", "dataset/kubric_data/scene_832/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Sponge in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Rubber Cylinder", "C) Large Metal Suzanne", "D) Small Metal Torus"], "answer": "A) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_832/cam0.mp4", "dataset/kubric_data/scene_832/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Sponge in the 3D space?", "options": ["A) Small Metal Torus", "B) Large Metal Suzanne", "C) Small Metal Cube", "D) Small Rubber Teapot"], "answer": "D) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_832/cam0.mp4", "dataset/kubric_data/scene_832/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Knot", "B) Small Rubber Suzanne", "C) Small Metal Torus", "D) Small Metal Cylinder"], "answer": "B) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_837/cam0.mp4", "dataset/kubric_data/scene_837/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Rubber Suzanne", "C) Small Metal Cylinder", "D) Small Metal Knot"], "answer": "B) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_837/cam0.mp4", "dataset/kubric_data/scene_837/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Spot", "B) Small Metal Cone", "C) Large Metal Cube", "D) Small Rubber Gear"], "answer": "C) Large Metal Cube", "videos": ["dataset/kubric_data/scene_844/cam0.mp4", "dataset/kubric_data/scene_844/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Spot", "B) Small Green Cube", "C) Large Metal Cube", "D) Small Metal Cone"], "answer": "C) Large Metal Cube", "videos": ["dataset/kubric_data/scene_844/cam0.mp4", "dataset/kubric_data/scene_844/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Metal Cube", "B) Small Rubber Gear", "C) Large Rubber Spot", "D) Small Rubber Teapot"], "answer": "A) Large Metal Cube", "videos": ["dataset/kubric_data/scene_844/cam0.mp4", "dataset/kubric_data/scene_844/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Metal Cone", "B) Large Metal Cube", "C) Small Rubber Teapot", "D) Small Rubber Gear"], "answer": "B) Large Metal Cube", "videos": ["dataset/kubric_data/scene_844/cam0.mp4", "dataset/kubric_data/scene_844/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large White Sphere", "B) Large Rubber Cube", "C) Tiny Black Cylinder", "D) Large White Cube"], "answer": "B) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_847/cam0.mp4", "dataset/kubric_data/scene_847/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Large Metal Sponge", "C) Large Rubber Cube", "D) Small Rubber Cylinder"], "answer": "C) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_847/cam0.mp4", "dataset/kubric_data/scene_847/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large Metal Sponge", "B) Large White Cylinder", "C) Small Rubber Cylinder", "D) Tiny Black Sphere"], "answer": "A) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_847/cam0.mp4", "dataset/kubric_data/scene_847/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large White Cube", "B) Huge Purple Sphere", "C) Large Rubber Cube", "D) Large Metal Sponge"], "answer": "C) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_847/cam0.mp4", "dataset/kubric_data/scene_847/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large Metal Sponge", "B) Large Rubber Cube", "C) Small Metal Cone", "D) Small Rubber Cylinder"], "answer": "B) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_847/cam0.mp4", "dataset/kubric_data/scene_847/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Rubber Cone", "C) Small Rubber Knot", "D) Large Metal Teapot"], "answer": "D) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_851/cam0.mp4", "dataset/kubric_data/scene_851/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Knot", "B) Large Rubber Cone", "C) Large Metal Torus", "D) Small Rubber Spot"], "answer": "D) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_851/cam0.mp4", "dataset/kubric_data/scene_851/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Spot", "B) Small Rubber Knot", "C) Large Metal Sponge", "D) Large Metal Torus"], "answer": "A) Small Rubber Spot", "videos": ["dataset/kubric_data/scene_851/cam0.mp4", "dataset/kubric_data/scene_851/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Suzanne in the 3D space?", "options": ["A) Large Metal Sphere", "B) Large Rubber Gear", "C) Large Rubber Spot", "D) Small Metal Cube"], "answer": "C) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_860/cam0.mp4", "dataset/kubric_data/scene_860/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Small Metal Suzanne in the 3D space?", "options": ["A) Large Metal Teapot", "B) Large Metal Sphere", "C) Small Metal Cube", "D) Large Rubber Gear"], "answer": "D) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_860/cam0.mp4", "dataset/kubric_data/scene_860/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Large Metal Cube", "B) Small Rubber Sphere", "C) Small Metal Teapot", "D) Large Rubber Spot"], "answer": "C) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_867/cam0.mp4", "dataset/kubric_data/scene_867/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Metal Torus", "B) Small Metal Teapot", "C) Small Rubber Sphere", "D) Large Rubber Spot"], "answer": "D) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_867/cam0.mp4", "dataset/kubric_data/scene_867/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Metal Sponge in the 3D space?", "options": ["A) Small Rubber Sphere", "B) Large Rubber Spot", "C) Small Metal Teapot", "D) Small Metal Torus"], "answer": "C) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_867/cam0.mp4", "dataset/kubric_data/scene_867/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Metal Teapot in the 3D space?", "options": ["A) Large Metal Sponge", "B) Large Metal Cube", "C) Large Rubber Spot", "D) Small Metal Torus"], "answer": "A) Large Metal Sponge", "videos": ["dataset/kubric_data/scene_867/cam0.mp4", "dataset/kubric_data/scene_867/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Metal Suzanne", "C) Large Rubber Spot", "D) Large Rubber Cylinder"], "answer": "C) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_868/cam0.mp4", "dataset/kubric_data/scene_868/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Large Rubber Teapot", "C) Large Metal Gear", "D) Large Metal Suzanne"], "answer": "C) Large Metal Gear", "videos": ["dataset/kubric_data/scene_868/cam0.mp4", "dataset/kubric_data/scene_868/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Rubber Cylinder", "C) Huge Purple Sphere", "D) Huge Purple Cylinder"], "answer": "A) Large Metal Gear", "videos": ["dataset/kubric_data/scene_868/cam0.mp4", "dataset/kubric_data/scene_868/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Large Metal Gear", "C) Large Rubber Spot", "D) Large Metal Suzanne"], "answer": "C) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_868/cam0.mp4", "dataset/kubric_data/scene_868/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sphere in the 3D space?", "options": ["A) Large Metal Gear", "B) Large Rubber Spot", "C) Large Rubber Teapot", "D) Large Metal Suzanne"], "answer": "A) Large Metal Gear", "videos": ["dataset/kubric_data/scene_868/cam0.mp4", "dataset/kubric_data/scene_868/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cube in the 3D space?", "options": ["A) Small Rubber Torus", "B) Large Rubber Sphere", "C) Small Metal Spot", "D) Large Rubber Gear"], "answer": "D) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_869/cam0.mp4", "dataset/kubric_data/scene_869/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Sponge in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Small Metal Cone", "C) Large Metal Sphere", "D) Small Metal Knot"], "answer": "D) Small Metal Knot", "videos": ["dataset/kubric_data/scene_872/cam0.mp4", "dataset/kubric_data/scene_872/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Spot in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Metal Sphere", "C) Large Metal Gear", "D) Large Rubber Cylinder"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_872/cam0.mp4", "dataset/kubric_data/scene_872/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Spot in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Large Metal Sphere", "C) Large Rubber Cylinder", "D) Large White Sphere"], "answer": "A) Large Rubber Sponge", "videos": ["dataset/kubric_data/scene_872/cam0.mp4", "dataset/kubric_data/scene_872/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Metal Suzanne", "B) Large Metal Cylinder", "C) Small Metal Knot", "D) Small Rubber Torus"], "answer": "D) Small Rubber Torus", "videos": ["dataset/kubric_data/scene_873/cam0.mp4", "dataset/kubric_data/scene_873/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Suzanne in the 3D space?", "options": ["A) Large Metal Cylinder", "B) Small Rubber Torus", "C) Small Metal Knot", "D) Large Rubber Teapot"], "answer": "B) Small Rubber Torus", "videos": ["dataset/kubric_data/scene_873/cam0.mp4", "dataset/kubric_data/scene_873/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Metal Suzanne in the 3D space?", "options": ["A) Small Rubber Torus", "B) Tiny Black Sphere", "C) Small Metal Knot", "D) Large Rubber Cube"], "answer": "A) Small Rubber Torus", "videos": ["dataset/kubric_data/scene_873/cam0.mp4", "dataset/kubric_data/scene_873/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Suzanne in the 3D space?", "options": ["A) Tiny Black Cylinder", "B) Large Metal Cylinder", "C) Small Metal Knot", "D) Large Rubber Cube"], "answer": "C) Small Metal Knot", "videos": ["dataset/kubric_data/scene_873/cam0.mp4", "dataset/kubric_data/scene_873/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Rubber Torus", "B) Small Metal Suzanne", "C) Large Rubber Teapot", "D) Large Metal Cylinder"], "answer": "A) Small Rubber Torus", "videos": ["dataset/kubric_data/scene_873/cam0.mp4", "dataset/kubric_data/scene_873/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Small Rubber Gear", "B) Small Metal Teapot", "C) Large Rubber Torus", "D) Large Rubber Cone"], "answer": "B) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_882/cam0.mp4", "dataset/kubric_data/scene_882/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Large Rubber Cone", "B) Small Metal Teapot", "C) Small Rubber Gear", "D) Large Metal Cube"], "answer": "B) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_882/cam0.mp4", "dataset/kubric_data/scene_882/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Large Rubber Torus", "B) Large Metal Cylinder", "C) Large Metal Cube", "D) Small Metal Teapot"], "answer": "D) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_882/cam0.mp4", "dataset/kubric_data/scene_882/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Small Metal Knot in the 3D space?", "options": ["A) Large Metal Cylinder", "B) Large Metal Cube", "C) Large Rubber Cone", "D) Small Metal Teapot"], "answer": "D) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_882/cam0.mp4", "dataset/kubric_data/scene_882/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Small Rubber Gear", "B) Large Metal Knot", "C) Small Rubber Cone", "D) Large Metal Suzanne"], "answer": "C) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_889/cam0.mp4", "dataset/kubric_data/scene_889/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Metal Spot", "B) Small Rubber Cone", "C) Large Metal Suzanne", "D) Large Metal Knot"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_889/cam0.mp4", "dataset/kubric_data/scene_889/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Metal Knot", "B) Small Rubber Cone", "C) Large Metal Suzanne", "D) Small Rubber Gear"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_889/cam0.mp4", "dataset/kubric_data/scene_889/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Cone", "B) Small Metal Knot", "C) Small Metal Gear", "D) Small Metal Cube"], "answer": "B) Small Metal Knot", "videos": ["dataset/kubric_data/scene_890/cam0.mp4", "dataset/kubric_data/scene_890/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Suzanne in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Metal Cube", "C) Small Rubber Teapot", "D) Small Metal Knot"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_890/cam0.mp4", "dataset/kubric_data/scene_890/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cube in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Rubber Sponge", "C) Large Metal Teapot", "D) Small Metal Torus"], "answer": "C) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_902/cam0.mp4", "dataset/kubric_data/scene_902/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Small Metal Torus", "C) Tiny Black Cube", "D) Small Rubber Sponge"], "answer": "B) Small Metal Torus", "videos": ["dataset/kubric_data/scene_902/cam0.mp4", "dataset/kubric_data/scene_902/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Rubber Gear", "B) Large Rubber Cylinder", "C) Small Metal Spot", "D) Large Metal Cone"], "answer": "C) Small Metal Spot", "videos": ["dataset/kubric_data/scene_903/cam0.mp4", "dataset/kubric_data/scene_903/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Metal Cone", "B) Small Metal Spot", "C) Large Rubber Gear", "D) Large Rubber Cylinder"], "answer": "C) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_903/cam0.mp4", "dataset/kubric_data/scene_903/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Rubber Gear", "B) Large Rubber Cylinder", "C) Large Metal Cone", "D) Small Metal Spot"], "answer": "A) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_903/cam0.mp4", "dataset/kubric_data/scene_903/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Rubber Knot in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Metal Cube", "C) Small Rubber Torus", "D) Small Rubber Gear"], "answer": "D) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_908/cam0.mp4", "dataset/kubric_data/scene_908/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Gear in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Rubber Torus", "C) Small Metal Cube", "D) Small Rubber Knot"], "answer": "D) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_908/cam0.mp4", "dataset/kubric_data/scene_908/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Rubber Gear in the 3D space?", "options": ["A) Small Metal Cone", "B) Small Rubber Knot", "C) Small Metal Sphere", "D) Small Metal Cube"], "answer": "B) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_908/cam0.mp4", "dataset/kubric_data/scene_908/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Large Rubber Gear", "B) Small Metal Torus", "C) Large Metal Suzanne", "D) Small Rubber Spot"], "answer": "B) Small Metal Torus", "videos": ["dataset/kubric_data/scene_916/cam0.mp4", "dataset/kubric_data/scene_916/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Small Metal Torus", "B) Large Rubber Gear", "C) Large Metal Suzanne", "D) Large Rubber Cylinder"], "answer": "A) Small Metal Torus", "videos": ["dataset/kubric_data/scene_916/cam0.mp4", "dataset/kubric_data/scene_916/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Torus completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Small Rubber Spot", "B) Large Rubber Gear", "C) Large Metal Suzanne", "D) Large Rubber Cylinder"], "answer": "D) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_916/cam0.mp4", "dataset/kubric_data/scene_916/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Metal Gear in the 3D space?", "options": ["A) Large Metal Cube", "B) Large Rubber Cylinder", "C) Large Metal Cone", "D) Small Green Cube"], "answer": "B) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_919/cam0.mp4", "dataset/kubric_data/scene_919/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Large Rubber Knot", "B) Small Metal Spot", "C) Huge Purple Cube", "D) Large Rubber Gear"], "answer": "B) Small Metal Spot", "videos": ["dataset/kubric_data/scene_920/cam0.mp4", "dataset/kubric_data/scene_920/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Rubber Knot", "C) Large Rubber Gear", "D) Small Metal Spot"], "answer": "D) Small Metal Spot", "videos": ["dataset/kubric_data/scene_920/cam0.mp4", "dataset/kubric_data/scene_920/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Large Rubber Teapot", "C) Small Metal Gear", "D) Large Metal Torus"], "answer": "C) Small Metal Gear", "videos": ["dataset/kubric_data/scene_924/cam0.mp4", "dataset/kubric_data/scene_924/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Metal Gear", "B) Small Rubber Spot", "C) Large Metal Torus", "D) Large Rubber Teapot"], "answer": "A) Small Metal Gear", "videos": ["dataset/kubric_data/scene_924/cam0.mp4", "dataset/kubric_data/scene_924/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Spot", "B) Small Metal Gear", "C) Small Rubber Sponge", "D) Large Metal Torus"], "answer": "B) Small Metal Gear", "videos": ["dataset/kubric_data/scene_924/cam0.mp4", "dataset/kubric_data/scene_924/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Rubber Spot", "C) Huge Purple Cube", "D) Large Metal Torus"], "answer": "A) Small Rubber Sponge", "videos": ["dataset/kubric_data/scene_924/cam0.mp4", "dataset/kubric_data/scene_924/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Torus in the 3D space?", "options": ["A) Large Rubber Cylinder", "B) Small Metal Cube", "C) Large Rubber Spot", "D) Small Metal Knot"], "answer": "B) Small Metal Cube", "videos": ["dataset/kubric_data/scene_927/cam0.mp4", "dataset/kubric_data/scene_927/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Spot", "B) Large White Sphere", "C) Tiny Black Cylinder", "D) Huge Purple Cube"], "answer": "A) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_927/cam0.mp4", "dataset/kubric_data/scene_927/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Rubber Torus in the 3D space?", "options": ["A) Small Metal Teapot", "B) Huge Purple Cube", "C) Large Rubber Spot", "D) Large Rubber Cylinder"], "answer": "C) Large Rubber Spot", "videos": ["dataset/kubric_data/scene_927/cam0.mp4", "dataset/kubric_data/scene_927/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Torus in the 3D space?", "options": ["A) Small Metal Teapot", "B) Large Rubber Cylinder", "C) Small Metal Cube", "D) Large Rubber Spot"], "answer": "C) Small Metal Cube", "videos": ["dataset/kubric_data/scene_927/cam0.mp4", "dataset/kubric_data/scene_927/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Small Rubber Torus in the 3D space?", "options": ["A) Small Metal Teapot", "B) Large Rubber Cylinder", "C) Large Rubber Spot", "D) Small Metal Cube"], "answer": "D) Small Metal Cube", "videos": ["dataset/kubric_data/scene_927/cam0.mp4", "dataset/kubric_data/scene_927/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Small Metal Sphere", "B) Small Rubber Gear", "C) Small Rubber Suzanne", "D) Large Rubber Torus"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_929/cam0.mp4", "dataset/kubric_data/scene_929/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Sphere in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Small Metal Cone", "C) Large Metal Knot", "D) Small Rubber Gear"], "answer": "D) Small Rubber Gear", "videos": ["dataset/kubric_data/scene_929/cam0.mp4", "dataset/kubric_data/scene_929/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Small Rubber Spot", "B) Small Metal Gear", "C) Small Metal Sphere", "D) Small Rubber Torus"], "answer": "C) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_930/cam0.mp4", "dataset/kubric_data/scene_930/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Small Metal Sphere", "B) Tiny Black Cube", "C) Huge Purple Cube", "D) Large White Cylinder"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_930/cam0.mp4", "dataset/kubric_data/scene_930/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Tiny Black Sphere", "B) Small Metal Sphere", "C) Small Green Cube", "D) Small Metal Gear"], "answer": "B) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_930/cam0.mp4", "dataset/kubric_data/scene_930/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cone in the 3D space?", "options": ["A) Small Metal Gear", "B) Large White Sphere", "C) Small Rubber Spot", "D) Small Metal Sphere"], "answer": "D) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_930/cam0.mp4", "dataset/kubric_data/scene_930/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cylinder in the 3D space?", "options": ["A) Small Rubber Knot", "B) Small Metal Cube", "C) Small Rubber Torus", "D) Large Metal Gear"], "answer": "C) Small Rubber Torus", "videos": ["dataset/kubric_data/scene_933/cam0.mp4", "dataset/kubric_data/scene_933/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Small Metal Sponge", "B) Small Rubber Teapot", "C) Small Metal Cone", "D) Large Metal Spot"], "answer": "B) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_936/cam0.mp4", "dataset/kubric_data/scene_936/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Small Metal Cube in the 3D space?", "options": ["A) Large White Sphere", "B) Large Metal Spot", "C) Small Rubber Teapot", "D) Small Metal Sponge"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_936/cam0.mp4", "dataset/kubric_data/scene_936/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Rubber Cone", "C) Large Rubber Knot", "D) Small Metal Cylinder"], "answer": "D) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_942/cam0.mp4", "dataset/kubric_data/scene_942/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Small Metal Spot in the 3D space?", "options": ["A) Small Rubber Cone", "B) Small Metal Cylinder", "C) Small Green Sphere", "D) Small Metal Gear"], "answer": "A) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_942/cam0.mp4", "dataset/kubric_data/scene_942/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Green Sphere", "B) Small Metal Spot", "C) Small Metal Cylinder", "D) Small Rubber Cone"], "answer": "D) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_942/cam0.mp4", "dataset/kubric_data/scene_942/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Green Cylinder", "B) Small Metal Cylinder", "C) Small Metal Spot", "D) Tiny Black Cube"], "answer": "C) Small Metal Spot", "videos": ["dataset/kubric_data/scene_942/cam0.mp4", "dataset/kubric_data/scene_942/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Large Rubber Knot", "B) Small Rubber Cone", "C) Small Metal Spot", "D) Small Metal Cylinder"], "answer": "D) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_942/cam0.mp4", "dataset/kubric_data/scene_942/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Spot", "B) Small Rubber Cone", "C) Small Metal Cylinder", "D) Large Rubber Knot"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_942/cam0.mp4", "dataset/kubric_data/scene_942/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Spot", "B) Small Metal Cylinder", "C) Small Rubber Cone", "D) Small Rubber Teapot"], "answer": "B) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_942/cam0.mp4", "dataset/kubric_data/scene_942/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Small Rubber Cone", "C) Small Metal Spot", "D) Large Rubber Knot"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_942/cam0.mp4", "dataset/kubric_data/scene_942/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Rubber Cone", "C) Large Rubber Knot", "D) Small Metal Spot"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_942/cam0.mp4", "dataset/kubric_data/scene_942/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Suzanne in the 3D space?", "options": ["A) Large Metal Knot", "B) Large Metal Spot", "C) Large Rubber Torus", "D) Small Metal Cylinder"], "answer": "D) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_943/cam0.mp4", "dataset/kubric_data/scene_943/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Metal Spot", "B) Small Metal Cylinder", "C) Small Rubber Suzanne", "D) Small Metal Sponge"], "answer": "C) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_943/cam0.mp4", "dataset/kubric_data/scene_943/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Knot in the 3D space?", "options": ["A) Large Metal Spot", "B) Small Rubber Suzanne", "C) Small Metal Cylinder", "D) Small Metal Sponge"], "answer": "B) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_943/cam0.mp4", "dataset/kubric_data/scene_943/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Teapot in the 3D space?", "options": ["A) Large Rubber Sphere", "B) Large Rubber Cone", "C) Large Metal Cylinder", "D) Large Rubber Torus"], "answer": "D) Large Rubber Torus", "videos": ["dataset/kubric_data/scene_944/cam0.mp4", "dataset/kubric_data/scene_944/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Large Metal Teapot", "B) Small Rubber Knot", "C) Large Rubber Sphere", "D) Large Metal Cylinder"], "answer": "A) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_944/cam0.mp4", "dataset/kubric_data/scene_944/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Large Metal Teapot", "B) Large Metal Cylinder", "C) Large Rubber Cone", "D) Large Rubber Sphere"], "answer": "C) Large Rubber Cone", "videos": ["dataset/kubric_data/scene_944/cam0.mp4", "dataset/kubric_data/scene_944/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Cone", "B) Large Rubber Sponge", "C) Large Metal Teapot", "D) Small Rubber Sphere"], "answer": "A) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_945/cam0.mp4", "dataset/kubric_data/scene_945/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Metal Spot", "B) Small Rubber Cone", "C) Large Metal Teapot", "D) Small Rubber Sphere"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_945/cam0.mp4", "dataset/kubric_data/scene_945/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Small Rubber Cone", "C) Small Rubber Sphere", "D) Large Metal Teapot"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_945/cam0.mp4", "dataset/kubric_data/scene_945/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Small Rubber Cone", "B) Large Rubber Sponge", "C) Large Metal Teapot", "D) Small Rubber Sphere"], "answer": "A) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_945/cam0.mp4", "dataset/kubric_data/scene_945/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Small Rubber Cone", "C) Small Rubber Sphere", "D) Large Metal Teapot"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_945/cam0.mp4", "dataset/kubric_data/scene_945/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Rubber Sponge", "B) Large Metal Spot", "C) Large Metal Teapot", "D) Small Rubber Sphere"], "answer": "C) Large Metal Teapot", "videos": ["dataset/kubric_data/scene_945/cam0.mp4", "dataset/kubric_data/scene_945/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Metal Gear in the 3D space?", "options": ["A) Large Metal Spot", "B) Small Rubber Cone", "C) Large Rubber Sponge", "D) Large Metal Teapot"], "answer": "B) Small Rubber Cone", "videos": ["dataset/kubric_data/scene_945/cam0.mp4", "dataset/kubric_data/scene_945/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Metal Cube", "C) Small Metal Knot", "D) Small Rubber Cone"], "answer": "C) Small Metal Knot", "videos": ["dataset/kubric_data/scene_953/cam0.mp4", "dataset/kubric_data/scene_953/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Small Rubber Cone", "B) Small Metal Knot", "C) Small Metal Cylinder", "D) Large Metal Spot"], "answer": "B) Small Metal Knot", "videos": ["dataset/kubric_data/scene_953/cam0.mp4", "dataset/kubric_data/scene_953/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Large Metal Cylinder in the 3D space?", "options": ["A) Small Metal Sphere", "B) Large Rubber Gear", "C) Small Rubber Cone", "D) Large Metal Sponge"], "answer": "A) Small Metal Sphere", "videos": ["dataset/kubric_data/scene_954/cam0.mp4", "dataset/kubric_data/scene_954/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Large Metal Cube", "C) Small Rubber Torus", "D) Small Rubber Teapot"], "answer": "D) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_958/cam0.mp4", "dataset/kubric_data/scene_958/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Cone", "B) Large Metal Torus", "C) Large Rubber Spot", "D) Small Rubber Teapot"], "answer": "D) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_961/cam0.mp4", "dataset/kubric_data/scene_961/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Cone", "B) Small Rubber Teapot", "C) Large Metal Torus", "D) Large Rubber Spot"], "answer": "C) Large Metal Torus", "videos": ["dataset/kubric_data/scene_961/cam0.mp4", "dataset/kubric_data/scene_961/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Cone", "B) Large Metal Torus", "C) Large Rubber Spot", "D) Small Rubber Teapot"], "answer": "B) Large Metal Torus", "videos": ["dataset/kubric_data/scene_961/cam0.mp4", "dataset/kubric_data/scene_961/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cone completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Large Rubber Spot", "B) Huge Purple Sphere", "C) Large Metal Torus", "D) Small Rubber Teapot"], "answer": "C) Large Metal Torus", "videos": ["dataset/kubric_data/scene_961/cam0.mp4", "dataset/kubric_data/scene_961/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Green Cylinder", "C) Large Metal Torus", "D) Large Rubber Spot"], "answer": "C) Large Metal Torus", "videos": ["dataset/kubric_data/scene_961/cam0.mp4", "dataset/kubric_data/scene_961/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Suzanne in the 3D space?", "options": ["A) Small Metal Cone", "B) Large Metal Torus", "C) Small Rubber Teapot", "D) Large Rubber Spot"], "answer": "C) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_961/cam0.mp4", "dataset/kubric_data/scene_961/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Knot in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Small Rubber Gear", "C) Tiny Black Cube", "D) Tiny Black Cylinder"], "answer": "A) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_968/cam0.mp4", "dataset/kubric_data/scene_968/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sphere completely exits the frame in Video 1, which object is physically closest to the Small Rubber Knot in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Small Rubber Gear", "C) Large Rubber Cone", "D) Small Green Cube"], "answer": "A) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_968/cam0.mp4", "dataset/kubric_data/scene_968/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Small Rubber Knot in the 3D space?", "options": ["A) Large Rubber Teapot", "B) Small Rubber Gear", "C) Large Rubber Cone", "D) Small Green Cube"], "answer": "A) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_968/cam0.mp4", "dataset/kubric_data/scene_968/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Rubber Knot in the 3D space?", "options": ["A) Large Metal Sphere", "B) Large Rubber Teapot", "C) Large Rubber Cone", "D) Small Rubber Gear"], "answer": "B) Large Rubber Teapot", "videos": ["dataset/kubric_data/scene_968/cam0.mp4", "dataset/kubric_data/scene_968/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Large Rubber Cone", "B) Small Rubber Knot", "C) Large Rubber Teapot", "D) Small Rubber Gear"], "answer": "B) Small Rubber Knot", "videos": ["dataset/kubric_data/scene_968/cam0.mp4", "dataset/kubric_data/scene_968/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Spot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Small Metal Cylinder", "C) Small Metal Gear", "D) Large Rubber Cone"], "answer": "B) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_976/cam0.mp4", "dataset/kubric_data/scene_976/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Large Metal Sphere in the 3D space?", "options": ["A) Large White Sphere", "B) Large White Cube", "C) Small Metal Cylinder", "D) Small Rubber Teapot"], "answer": "C) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_976/cam0.mp4", "dataset/kubric_data/scene_976/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Cube completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Large Metal Sphere", "B) Small Green Cube", "C) Small Rubber Teapot", "D) Small Metal Cylinder"], "answer": "D) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_976/cam0.mp4", "dataset/kubric_data/scene_976/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large Metal Sphere", "C) Large Metal Cube", "D) Small Metal Cylinder"], "answer": "D) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_976/cam0.mp4", "dataset/kubric_data/scene_976/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Gear completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Small Metal Cylinder", "B) Small Rubber Teapot", "C) Large Metal Cube", "D) Large Rubber Cone"], "answer": "A) Small Metal Cylinder", "videos": ["dataset/kubric_data/scene_976/cam0.mp4", "dataset/kubric_data/scene_976/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Rubber Cube", "B) Large Rubber Cylinder", "C) Small Rubber Sponge", "D) Large Rubber Knot"], "answer": "D) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_977/cam0.mp4", "dataset/kubric_data/scene_977/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Gear completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Rubber Knot", "B) Large Metal Suzanne", "C) Large Rubber Cylinder", "D) Small Rubber Cube"], "answer": "A) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_977/cam0.mp4", "dataset/kubric_data/scene_977/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cone completely exits the frame in Video 1, which object is physically closest to the Small Rubber Sponge in the 3D space?", "options": ["A) Tiny Black Cube", "B) Small Green Sphere", "C) Small Metal Teapot", "D) Small Rubber Cube"], "answer": "C) Small Metal Teapot", "videos": ["dataset/kubric_data/scene_977/cam0.mp4", "dataset/kubric_data/scene_977/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Knot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Large Metal Suzanne", "B) Small Rubber Cube", "C) Small Rubber Sponge", "D) Large Rubber Cylinder"], "answer": "D) Large Rubber Cylinder", "videos": ["dataset/kubric_data/scene_977/cam0.mp4", "dataset/kubric_data/scene_977/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Cone in the 3D space?", "options": ["A) Small Rubber Sponge", "B) Small Rubber Cube", "C) Large Metal Suzanne", "D) Large Rubber Knot"], "answer": "D) Large Rubber Knot", "videos": ["dataset/kubric_data/scene_977/cam0.mp4", "dataset/kubric_data/scene_977/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Teapot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Rubber Suzanne", "B) Large Metal Torus", "C) Small Rubber Cylinder", "D) Large Metal Cube"], "answer": "B) Large Metal Torus", "videos": ["dataset/kubric_data/scene_981/cam0.mp4", "dataset/kubric_data/scene_981/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Metal Torus", "B) Small Rubber Cylinder", "C) Small Metal Teapot", "D) Large Metal Cube"], "answer": "A) Large Metal Torus", "videos": ["dataset/kubric_data/scene_981/cam0.mp4", "dataset/kubric_data/scene_981/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Cylinder completely exits the frame in Video 1, which object is physically closest to the Large Rubber Knot in the 3D space?", "options": ["A) Large Metal Torus", "B) Large Metal Cube", "C) Large White Cube", "D) Small Metal Teapot"], "answer": "A) Large Metal Torus", "videos": ["dataset/kubric_data/scene_981/cam0.mp4", "dataset/kubric_data/scene_981/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Small Rubber Teapot", "B) Large Metal Spot", "C) Large Metal Cube", "D) Small Metal Cone"], "answer": "A) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_984/cam0.mp4", "dataset/kubric_data/scene_984/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Spot completely exits the frame in Video 1, which object is physically closest to the Large Rubber Gear in the 3D space?", "options": ["A) Large Metal Cube", "B) Large Rubber Cylinder", "C) Small Metal Cone", "D) Small Rubber Teapot"], "answer": "D) Small Rubber Teapot", "videos": ["dataset/kubric_data/scene_984/cam0.mp4", "dataset/kubric_data/scene_984/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Metal Cube completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Large White Cube", "B) Small Rubber Suzanne", "C) Large Metal Sponge", "D) Small Metal Knot"], "answer": "B) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_992/cam0.mp4", "dataset/kubric_data/scene_992/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Suzanne completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Small Metal Knot", "B) Large Metal Sponge", "C) Huge Purple Cylinder", "D) Tiny Black Sphere"], "answer": "A) Small Metal Knot", "videos": ["dataset/kubric_data/scene_992/cam0.mp4", "dataset/kubric_data/scene_992/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Large Metal Sponge completely exits the frame in Video 1, which object is physically closest to the Large Rubber Torus in the 3D space?", "options": ["A) Small Rubber Suzanne", "B) Large White Cube", "C) Small Metal Cube", "D) Small Metal Knot"], "answer": "A) Small Rubber Suzanne", "videos": ["dataset/kubric_data/scene_992/cam0.mp4", "dataset/kubric_data/scene_992/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Sponge completely exits the frame in Video 1, which object is physically closest to the Small Rubber Cylinder in the 3D space?", "options": ["A) Large Rubber Gear", "B) Small Rubber Spot", "C) Large Rubber Cube", "D) Small Metal Cone"], "answer": "A) Large Rubber Gear", "videos": ["dataset/kubric_data/scene_994/cam0.mp4", "dataset/kubric_data/scene_994/cam1.mp4"], "video_ranges": []}
{"category": "Spatial_Tracking", "task": "Kubric_Spatial_Measurement", "question": "Observe the videos closely. At the exact moment the Small Rubber Torus completely exits the frame in Video 1, which object is physically closest to the Small Metal Cone in the 3D space?", "options": ["A) Large Rubber Cube", "B) Small Rubber Cylinder", "C) Large Rubber Gear", "D) Small Rubber Spot"], "answer": "A) Large Rubber Cube", "videos": ["dataset/kubric_data/scene_994/cam0.mp4", "dataset/kubric_data/scene_994/cam1.mp4"], "video_ranges": []}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10000.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14097.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10002.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10003.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14099.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14101.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12056.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12059.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10012.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12062.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14111.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10015.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "A) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14110.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14117.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10022.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14120.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12074.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14123.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12076.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12077.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10030.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10031.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12078.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12081.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "D) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10034.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12083.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14128.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10037.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14130.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14134.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12090.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "D) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14138.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14141.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14142.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "D) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10047.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14144.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12096.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "A) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14143.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10051.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "A) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12104.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "D) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10058.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14160.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10067.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12117.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14167.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12120.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14170.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14171.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10076.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12125.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14174.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "A) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10079.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12128.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10078.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12130.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "D) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14179.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12132.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "D) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12133.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14184.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12136.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14186.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "A) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12140.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10099.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10100.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12148.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10101.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12151.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14199.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12153.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14200.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "A) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12156.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14205.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14207.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10113.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12163.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14211.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "A) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10119.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "D) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10123.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10124.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "A) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14223.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "A) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12176.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10129.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14225.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "A) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12179.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10132.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12184.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10139.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12187.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14237.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14236.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12191.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12192.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14241.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10149.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "A) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14248.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12204.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12205.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14255.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12207.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14257.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12209.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14263.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14264.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14265.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12218.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12222.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "D) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14271.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10176.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10177.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12226.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14275.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14270.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10181.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12224.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10183.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14280.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12233.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14287.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10192.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12242.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14291.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12244.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12245.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14292.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10199.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10198.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12247.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "A) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14298.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "A) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14300.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14301.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12254.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12262.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12267.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10221.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14318.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12272.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12275.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14323.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14329.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12283.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14332.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10239.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14337.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10245.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10246.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12293.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "D) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12296.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "A) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12297.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "D) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10248.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14347.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10252.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12301.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12306.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14355.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10260.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10261.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12308.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10263.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14361.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10265.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14363.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12314.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10270.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10272.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10274.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "A) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12324.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12325.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12330.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "D) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14380.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12333.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12338.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12340.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14389.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14390.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "D) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12344.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14392.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12346.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14396.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "D) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10302.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10304.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "A) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10305.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "A) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12353.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "D) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14406.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "A) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10311.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14408.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10310.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10316.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12367.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14418.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10323.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12371.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14419.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12376.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12378.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12380.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12381.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12382.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12383.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14432.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12384.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14434.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10332.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12388.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10341.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12389.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14437.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "A) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14440.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "D) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10344.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14442.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14435.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "D) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12396.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12397.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10349.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14444.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12401.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10357.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10360.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14458.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14459.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10364.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12416.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14466.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12419.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12420.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "A) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10372.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "A) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10373.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14471.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12424.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10376.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10380.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10383.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12431.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14482.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14483.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10386.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12434.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12441.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14490.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14494.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10399.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12450.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "A) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14499.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10406.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10410.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10411.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14509.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14510.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14511.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10416.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "A) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12467.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14521.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10426.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10430.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12479.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14531.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14532.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12485.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "D) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10437.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10439.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10440.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12489.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "A) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14538.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12491.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14533.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12494.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12495.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10446.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12496.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10452.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10453.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14548.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "A) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14550.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12506.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14556.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10461.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12509.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14557.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12512.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12508.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14562.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10467.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10469.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12520.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10473.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14570.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14572.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10477.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14573.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12525.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14577.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14578.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "D) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12532.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14580.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10488.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14584.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12538.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12539.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10490.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "A) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14590.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14594.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10500.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14598.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10503.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10502.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14600.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14603.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12556.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10509.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10510.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14606.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10512.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "A) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12559.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "A) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12560.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10519.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12568.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12569.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12570.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10523.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10526.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "D) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12575.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12576.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14624.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10529.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10531.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12580.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14627.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12582.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10534.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12584.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14633.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14634.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14638.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14639.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10543.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14642.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "D) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10549.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10550.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "D) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10552.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10553.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12600.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12603.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12604.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10560.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14658.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14659.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "A) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10565.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10568.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "D) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12617.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14674.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "A) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10579.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10585.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12634.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14682.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "D) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10587.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10586.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10590.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "D) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14686.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14688.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12641.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10595.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12646.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "A) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12648.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10602.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12650.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14702.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12655.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10607.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14705.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "D) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12658.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12659.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10617.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10618.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12666.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "D) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14713.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10622.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12670.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12671.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14718.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14719.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14720.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10628.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "A) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14721.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14724.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10634.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10639.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12687.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12689.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "A) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10641.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10648.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14744.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "A) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12697.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14747.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12699.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12701.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10656.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14752.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "A) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14753.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12712.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12713.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14762.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10667.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10669.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14767.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10672.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14768.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10674.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12724.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10677.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10678.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10679.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12727.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14777.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12728.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12731.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12732.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "D) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12734.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10688.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "D) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14785.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12738.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12739.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "A) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14788.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12741.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10693.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12743.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10696.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12744.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10698.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "A) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10697.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12748.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10700.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14798.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12752.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14806.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10711.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "D) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10710.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12761.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10715.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10718.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10719.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12766.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14817.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "A) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12770.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14819.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14820.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10725.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12774.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10727.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12776.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12778.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10731.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12781.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10734.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14829.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "D) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10736.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12785.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12786.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14832.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "A) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14839.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10744.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14844.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14845.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12797.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "A) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10751.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12799.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12801.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14849.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10758.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12807.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10762.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12811.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "A) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12810.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10763.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "A) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12814.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "A) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10766.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "D) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14862.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14866.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10771.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12821.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10775.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10776.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14872.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "A) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14873.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "D) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12831.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10784.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14881.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10787.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10788.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "D) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14885.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12838.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14887.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14888.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12841.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10793.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "A) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12843.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14892.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12846.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "D) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12848.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12849.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "D) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10802.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10805.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "D) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10806.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10807.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12854.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14905.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14906.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12858.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14908.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10818.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10821.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10822.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14924.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12877.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14926.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12879.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12881.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12887.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12888.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10843.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12892.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "D) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10844.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12891.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "A) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12895.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14944.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10850.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "D) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14947.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12900.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10853.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10854.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "D) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10851.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14954.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14955.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "D) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14956.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14957.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "D) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12908.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14959.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "A) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12907.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10864.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "A) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12914.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14969.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "A) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10874.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12923.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10877.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "A) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14975.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14977.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10883.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14979.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "A) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10885.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12934.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12936.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14985.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10890.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14987.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14990.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_10896.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12944.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12945.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10899.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "D) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14997.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12950.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12957.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12958.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12960.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_10922.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12973.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12974.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "A) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12979.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12981.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10936.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "D) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12991.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10946.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10947.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10951.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "D) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13002.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10960.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13009.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10961.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10966.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_10972.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13021.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10975.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13026.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10982.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "A) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13036.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_10989.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "A) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13037.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13043.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "A) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13045.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "A) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13048.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "A) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11004.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11005.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11006.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13054.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11013.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11016.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11020.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11021.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "D) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11028.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11035.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13085.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13101.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11059.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "A) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11063.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13115.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13116.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11073.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13122.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13123.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13125.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13126.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13129.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "A) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13133.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11087.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11088.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11093.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11097.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "A) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13146.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11100.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13150.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11105.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13156.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11109.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13159.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11112.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11116.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13166.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13167.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11125.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13173.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11127.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13178.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "A) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11132.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "A) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11141.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11143.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11146.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11149.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13198.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13203.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "A) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11157.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11158.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13207.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "A) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11159.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13211.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13217.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11169.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "D) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13219.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13221.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13227.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13232.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11185.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13234.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13233.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11188.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11189.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13238.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11191.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13241.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13242.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13252.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11208.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13257.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13259.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "D) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13263.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "D) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11216.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "A) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13266.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13268.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "A) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11222.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "D) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11223.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11227.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11233.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13282.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11236.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "A) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11239.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11240.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "A) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13287.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13288.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13291.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13292.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13289.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13295.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11249.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11253.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13301.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13302.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13305.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13308.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11266.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13316.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11269.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13318.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11273.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13322.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13329.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13331.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13333.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11287.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11289.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "D) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13341.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11298.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13348.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11301.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13349.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "A) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11303.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13354.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13357.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13359.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "D) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11315.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11317.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13368.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "D) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13370.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11327.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13376.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11330.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11331.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11333.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11334.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13384.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13388.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13391.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13393.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11347.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13395.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13397.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "A) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11354.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "A) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13404.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "D) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11357.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13407.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11361.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "A) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11362.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11366.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13417.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13418.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "D) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11370.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13426.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11379.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11390.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11392.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13441.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13440.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13450.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13454.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13456.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13457.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13460.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13462.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11420.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11421.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "A) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13470.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11424.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "D) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13472.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13473.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13479.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11433.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11436.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13484.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11437.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13488.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11443.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13493.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13496.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11451.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13503.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11455.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11458.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13508.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13514.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "D) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11468.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11472.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13520.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11476.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13528.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13531.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "A) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13543.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13545.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13550.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11503.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13552.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11507.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13557.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11511.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11513.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11517.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11518.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13565.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13571.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11525.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13575.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13578.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11532.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13582.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11535.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "A) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13584.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11537.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11539.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13587.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11541.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11540.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11543.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11547.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13596.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13600.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13601.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13605.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13608.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13609.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "A) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11561.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13611.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11564.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11567.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "A) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11571.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "A) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11574.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13622.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11578.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13630.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13631.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11585.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13633.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13634.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13635.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11589.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "A) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11592.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13644.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11596.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11599.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "D) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11609.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "A) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11612.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13661.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13665.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11619.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "A) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13672.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11626.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13679.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13682.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11635.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13684.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "D) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11634.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11641.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13689.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13690.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11650.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11652.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13701.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13703.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "A) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13704.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11670.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11671.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11674.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13724.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13734.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13737.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13738.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "A) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11692.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11696.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13746.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13747.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "A) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13748.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11710.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11711.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "A) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13760.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11713.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13764.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13765.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11716.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11719.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11720.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "A) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11726.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11729.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11735.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11740.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "A) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13788.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11745.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13794.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11748.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11750.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11754.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "A) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13802.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11756.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13809.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13812.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13815.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13821.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13825.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "D) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13826.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11784.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13832.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "D) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11787.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11788.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13835.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "A) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13838.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11791.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13840.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "A) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13841.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13844.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11797.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "D) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13847.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "A) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13849.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11802.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13851.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11803.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11809.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13858.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13860.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13865.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "A) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11819.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "D) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13868.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11820.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11822.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "A) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13871.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13872.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11825.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11826.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13877.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11829.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13879.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11833.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13885.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11838.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11840.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "D) Video 3 -> Video 2 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13888.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13889.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13891.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11843.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13894.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 1 -> Video 4 -> Video 3"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11847.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 1 -> Video 3 -> Video 4", "D) Video 2 -> Video 4 -> Video 3 -> Video 1"], "answer": "D) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11852.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13900.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13903.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13907.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11859.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11864.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 1 -> Video 2 -> Video 3 -> Video 4", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11865.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13914.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13915.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11866.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11873.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 3 -> Video 2 -> Video 4 -> Video 1", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13928.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13930.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11885.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 4 -> Video 2 -> Video 1 -> Video 3", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11888.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11889.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "A) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13939.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11892.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "A) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_13941.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13942.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 1 -> Video 4", "B) Video 1 -> Video 2 -> Video 4 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "D) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_13943.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "D) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13945.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11903.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 3 -> Video 1 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11905.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [0.0, 1.28], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 3 -> Video 1 -> Video 2 -> Video 4"], "answer": "D) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11906.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 2 -> Video 4", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "A) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11907.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13955.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13956.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "B) Video 3 -> Video 2 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11910.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_13958.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 4 -> Video 2", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "D) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11913.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 3 -> Video 2 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11915.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 3 -> Video 1", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11919.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "D) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11920.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 4 -> Video 1 -> Video 3 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "D) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13976.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 4 -> Video 1 -> Video 2 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "D) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11937.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_13986.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 3 -> Video 1 -> Video 4 -> Video 2"], "answer": "A) Video 2 -> Video 1 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11942.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 4 -> Video 3 -> Video 1 -> Video 2", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "A) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14000.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 3 -> Video 2 -> Video 4 -> Video 1", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 3 -> Video 4 -> Video 1"], "answer": "D) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14003.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "D) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_11956.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 4 -> Video 2 -> Video 1 -> Video 3", "C) Video 2 -> Video 1 -> Video 4 -> Video 3", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "A) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14006.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "A) Video 2 -> Video 1 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11969.mp4"], "video_ranges": [[1.28, 2.56], [0.0, 1.28], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 1 -> Video 3 -> Video 4 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11971.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 2 -> Video 4 -> Video 1", "B) Video 2 -> Video 1 -> Video 4 -> Video 3", "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "C) Video 2 -> Video 3 -> Video 4 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11972.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 4 -> Video 2 -> Video 3 -> Video 1", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "A) Video 1 -> Video 2 -> Video 3 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11973.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [2.56, 3.84], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 4 -> Video 3 -> Video 2", "D) Video 1 -> Video 2 -> Video 4 -> Video 3"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14023.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "D) Video 4 -> Video 1 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_11979.mp4"], "video_ranges": [[1.28, 2.56], [3.84, 5.12], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 3 -> Video 1 -> Video 2"], "answer": "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14032.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [1.28, 2.56], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 4 -> Video 3 -> Video 2 -> Video 1"], "answer": "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_11988.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 3 -> Video 4", "B) Video 2 -> Video 3 -> Video 1 -> Video 4", "C) Video 1 -> Video 3 -> Video 4 -> Video 2", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "D) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14040.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 3 -> Video 4", "B) Video 1 -> Video 3 -> Video 2 -> Video 4", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_11999.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 3 -> Video 1 -> Video 4 -> Video 2", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14047.mp4"], "video_ranges": [[1.28, 2.56], [2.56, 3.84], [0.0, 1.28], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 4 -> Video 1", "B) Video 2 -> Video 1 -> Video 3 -> Video 4", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "D) Video 2 -> Video 3 -> Video 1 -> Video 4", "videos": ["dataset/clvr/video_validation/video_12004.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 4 -> Video 2 -> Video 1 -> Video 3"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14052.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 1 -> Video 2", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "D) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12008.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 2 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 4 -> Video 2 -> Video 3 -> Video 1"], "answer": "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12010.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 3 -> Video 1", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 3 -> Video 4 -> Video 2 -> Video 1", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "A) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14058.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14060.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 1 -> Video 3 -> Video 2", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "D) Video 2 -> Video 3 -> Video 1 -> Video 4"], "answer": "C) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12014.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 4 -> Video 2 -> Video 1", "B) Video 3 -> Video 1 -> Video 2 -> Video 4", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "A) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12015.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 3 -> Video 1 -> Video 4 -> Video 2", "C) Video 3 -> Video 2 -> Video 1 -> Video 4", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "D) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_14066.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 2 -> Video 3 -> Video 1 -> Video 4", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "A) Video 4 -> Video 3 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12020.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 3 -> Video 1 -> Video 4 -> Video 2", "B) Video 3 -> Video 4 -> Video 2 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 1 -> Video 4 -> Video 3 -> Video 2"], "answer": "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12023.mp4"], "video_ranges": [[2.56, 3.84], [3.84, 5.12], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 1 -> Video 2 -> Video 3 -> Video 4", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14073.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 1 -> Video 2", "B) Video 2 -> Video 3 -> Video 4 -> Video 1", "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "D) Video 1 -> Video 3 -> Video 2 -> Video 4"], "answer": "C) Video 4 -> Video 3 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14076.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [1.28, 2.56], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 4 -> Video 3 -> Video 2 -> Video 1", "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "D) Video 4 -> Video 1 -> Video 3 -> Video 2"], "answer": "C) Video 4 -> Video 2 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12030.mp4"], "video_ranges": [[3.84, 5.12], [1.28, 2.56], [2.56, 3.84], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 2 -> Video 4 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 4 -> Video 1 -> Video 2 -> Video 3"], "answer": "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12031.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 4 -> Video 1 -> Video 3", "B) Video 1 -> Video 4 -> Video 3 -> Video 2", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 2 -> Video 1 -> Video 3 -> Video 4"], "answer": "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14080.mp4"], "video_ranges": [[3.84, 5.12], [0.0, 1.28], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 3 -> Video 2", "B) Video 4 -> Video 1 -> Video 3 -> Video 2", "C) Video 1 -> Video 4 -> Video 2 -> Video 3", "D) Video 3 -> Video 4 -> Video 1 -> Video 2"], "answer": "A) Video 1 -> Video 4 -> Video 3 -> Video 2", "videos": ["dataset/clvr/video_validation/video_12034.mp4"], "video_ranges": [[0.0, 1.28], [3.84, 5.12], [2.56, 3.84], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "D) Video 1 -> Video 2 -> Video 3 -> Video 4"], "answer": "C) Video 1 -> Video 3 -> Video 2 -> Video 4", "videos": ["dataset/clvr/video_validation/video_14083.mp4"], "video_ranges": [[0.0, 1.28], [2.56, 3.84], [1.28, 2.56], [3.84, 5.12]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 3 -> Video 2 -> Video 1", "B) Video 1 -> Video 4 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "D) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_14084.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 3 -> Video 4 -> Video 1 -> Video 2", "C) Video 3 -> Video 1 -> Video 2 -> Video 4", "D) Video 3 -> Video 4 -> Video 2 -> Video 1"], "answer": "D) Video 3 -> Video 4 -> Video 2 -> Video 1", "videos": ["dataset/clvr/video_validation/video_12037.mp4"], "video_ranges": [[3.84, 5.12], [2.56, 3.84], [0.0, 1.28], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 1 -> Video 4 -> Video 3", "B) Video 2 -> Video 4 -> Video 3 -> Video 1", "C) Video 3 -> Video 4 -> Video 1 -> Video 2", "D) Video 2 -> Video 4 -> Video 1 -> Video 3"], "answer": "D) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14085.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 1 -> Video 4 -> Video 2 -> Video 3", "B) Video 1 -> Video 3 -> Video 4 -> Video 2", "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "D) Video 3 -> Video 2 -> Video 4 -> Video 1"], "answer": "C) Video 1 -> Video 2 -> Video 4 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14092.mp4"], "video_ranges": [[0.0, 1.28], [1.28, 2.56], [3.84, 5.12], [2.56, 3.84]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 4 -> Video 2 -> Video 1 -> Video 3", "B) Video 4 -> Video 1 -> Video 2 -> Video 3", "C) Video 2 -> Video 4 -> Video 1 -> Video 3", "D) Video 3 -> Video 2 -> Video 1 -> Video 4"], "answer": "A) Video 4 -> Video 2 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_12045.mp4"], "video_ranges": [[2.56, 3.84], [1.28, 2.56], [3.84, 5.12], [0.0, 1.28]]}
{"category": "Temporal_Alignment", "task": "Clvr_Sequential_Ordering", "question": "These 4 videos are segments of a single continuous event, but they are shown out of order. What is the correct chronological order of these video segments?", "options": ["A) Video 2 -> Video 3 -> Video 1 -> Video 4", "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "C) Video 2 -> Video 4 -> Video 3 -> Video 1", "D) Video 1 -> Video 4 -> Video 2 -> Video 3"], "answer": "B) Video 2 -> Video 4 -> Video 1 -> Video 3", "videos": ["dataset/clvr/video_validation/video_14095.mp4"], "video_ranges": [[2.56, 3.84], [0.0, 1.28], [3.84, 5.12], [1.28, 2.56]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -1.7 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.7 seconds."], "answer": "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_0/cam1.mp4", "dataset/kubric_data/scene_0/cam0.mp4", "dataset/kubric_data/scene_0/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.8, 4.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.0 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_1/cam2.mp4", "dataset/kubric_data/scene_1/cam1.mp4", "dataset/kubric_data/scene_1/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.5, 3.5], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.4 seconds."], "answer": "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_2/cam1.mp4", "dataset/kubric_data/scene_2/cam2.mp4", "dataset/kubric_data/scene_2/cam0.mp4"], "video_ranges": [[1.4, 4.4], [0.8, 3.8], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at +0.5 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_3/cam1.mp4", "dataset/kubric_data/scene_3/cam2.mp4", "dataset/kubric_data/scene_3/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.6, 3.6], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at -1.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_4/cam0.mp4", "dataset/kubric_data/scene_4/cam2.mp4", "dataset/kubric_data/scene_4/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.2, 3.2], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_5/cam0.mp4", "dataset/kubric_data/scene_5/cam2.mp4", "dataset/kubric_data/scene_5/cam1.mp4"], "video_ranges": [[1.4, 4.4], [0.7, 3.7], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_6/cam1.mp4", "dataset/kubric_data/scene_6/cam0.mp4", "dataset/kubric_data/scene_6/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.7, 3.7], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_7/cam1.mp4", "dataset/kubric_data/scene_7/cam2.mp4", "dataset/kubric_data/scene_7/cam0.mp4"], "video_ranges": [[0.5, 3.5], [1.2, 4.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_8/cam1.mp4", "dataset/kubric_data/scene_8/cam0.mp4", "dataset/kubric_data/scene_8/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.1, 4.1], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_9/cam0.mp4", "dataset/kubric_data/scene_9/cam1.mp4", "dataset/kubric_data/scene_9/cam2.mp4"], "video_ranges": [[0.4, 3.4], [0.8, 3.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.5 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_10/cam1.mp4", "dataset/kubric_data/scene_10/cam0.mp4", "dataset/kubric_data/scene_10/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.0, 3.0], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_11/cam2.mp4", "dataset/kubric_data/scene_11/cam0.mp4", "dataset/kubric_data/scene_11/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.3, 4.3], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.3 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_12/cam1.mp4", "dataset/kubric_data/scene_12/cam2.mp4", "dataset/kubric_data/scene_12/cam0.mp4"], "video_ranges": [[0.7, 3.7], [0.8, 3.8], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -1.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -2.1 seconds.", "C) Video 2 starts at -1.8 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.8 seconds."], "answer": "A) Video 2 starts at -0.6 seconds; Video 3 starts at -1.8 seconds.", "videos": ["dataset/kubric_data/scene_13/cam1.mp4", "dataset/kubric_data/scene_13/cam0.mp4", "dataset/kubric_data/scene_13/cam2.mp4"], "video_ranges": [[2.0, 5.0], [1.4, 4.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_14/cam0.mp4", "dataset/kubric_data/scene_14/cam2.mp4", "dataset/kubric_data/scene_14/cam1.mp4"], "video_ranges": [[1.1, 4.1], [0.6, 3.6], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -1.5 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -1.3 seconds."], "answer": "A) Video 2 starts at -1.3 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_15/cam2.mp4", "dataset/kubric_data/scene_15/cam1.mp4", "dataset/kubric_data/scene_15/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.4, 3.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.8 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +2.1 seconds.", "C) Video 2 starts at +1.8 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +1.8 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +1.8 seconds.", "videos": ["dataset/kubric_data/scene_16/cam2.mp4", "dataset/kubric_data/scene_16/cam1.mp4", "dataset/kubric_data/scene_16/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.0, 3.0], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at +0.5 seconds."], "answer": "A) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_17/cam1.mp4", "dataset/kubric_data/scene_17/cam0.mp4", "dataset/kubric_data/scene_17/cam2.mp4"], "video_ranges": [[0.4, 3.4], [2.0, 5.0], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_18/cam1.mp4", "dataset/kubric_data/scene_18/cam2.mp4", "dataset/kubric_data/scene_18/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.5, 3.5], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_19/cam1.mp4", "dataset/kubric_data/scene_19/cam0.mp4", "dataset/kubric_data/scene_19/cam2.mp4"], "video_ranges": [[1.7, 4.7], [1.2, 4.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at -1.0 seconds."], "answer": "A) Video 2 starts at -1.0 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_20/cam2.mp4", "dataset/kubric_data/scene_20/cam0.mp4", "dataset/kubric_data/scene_20/cam1.mp4"], "video_ranges": [[1.9, 4.9], [0.9, 3.9], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_21/cam0.mp4", "dataset/kubric_data/scene_21/cam2.mp4", "dataset/kubric_data/scene_21/cam1.mp4"], "video_ranges": [[1.1, 4.1], [1.4, 4.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at -0.3 seconds."], "answer": "A) Video 2 starts at -1.3 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_22/cam2.mp4", "dataset/kubric_data/scene_22/cam0.mp4", "dataset/kubric_data/scene_22/cam1.mp4"], "video_ranges": [[1.6, 4.6], [0.2, 3.2], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.4 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_23/cam1.mp4", "dataset/kubric_data/scene_23/cam0.mp4", "dataset/kubric_data/scene_23/cam2.mp4"], "video_ranges": [[1.4, 4.4], [1.5, 4.5], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_24/cam2.mp4", "dataset/kubric_data/scene_24/cam1.mp4", "dataset/kubric_data/scene_24/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.0 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_25/cam1.mp4", "dataset/kubric_data/scene_25/cam0.mp4", "dataset/kubric_data/scene_25/cam2.mp4"], "video_ranges": [[0.9, 3.9], [1.2, 4.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at +0.4 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_26/cam1.mp4", "dataset/kubric_data/scene_26/cam0.mp4", "dataset/kubric_data/scene_26/cam2.mp4"], "video_ranges": [[0.9, 3.9], [1.3, 4.3], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_27/cam2.mp4", "dataset/kubric_data/scene_27/cam0.mp4", "dataset/kubric_data/scene_27/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.3, 4.3], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.9 seconds."], "answer": "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_28/cam1.mp4", "dataset/kubric_data/scene_28/cam0.mp4", "dataset/kubric_data/scene_28/cam2.mp4"], "video_ranges": [[1.1, 4.1], [0.2, 3.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.3 seconds."], "answer": "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_29/cam2.mp4", "dataset/kubric_data/scene_29/cam0.mp4", "dataset/kubric_data/scene_29/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.8, 4.8], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_30/cam1.mp4", "dataset/kubric_data/scene_30/cam2.mp4", "dataset/kubric_data/scene_30/cam0.mp4"], "video_ranges": [[0.4, 3.4], [1.8, 4.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -1.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_31/cam1.mp4", "dataset/kubric_data/scene_31/cam0.mp4", "dataset/kubric_data/scene_31/cam2.mp4"], "video_ranges": [[1.1, 4.1], [0.0, 3.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at +0.7 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_32/cam0.mp4", "dataset/kubric_data/scene_32/cam2.mp4", "dataset/kubric_data/scene_32/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.2, 4.2], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -2.0 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -2.0 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +2.0 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -2.4 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at -2.0 seconds.", "videos": ["dataset/kubric_data/scene_33/cam1.mp4", "dataset/kubric_data/scene_33/cam0.mp4", "dataset/kubric_data/scene_33/cam2.mp4"], "video_ranges": [[2.0, 5.0], [1.9, 4.9], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +1.7 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.3 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_34/cam2.mp4", "dataset/kubric_data/scene_34/cam0.mp4", "dataset/kubric_data/scene_34/cam1.mp4"], "video_ranges": [[0.0, 3.0], [0.5, 3.5], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +1.3 seconds."], "answer": "B) Video 2 starts at +1.3 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_35/cam2.mp4", "dataset/kubric_data/scene_35/cam1.mp4", "dataset/kubric_data/scene_35/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.5, 4.5], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.9 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_36/cam1.mp4", "dataset/kubric_data/scene_36/cam0.mp4", "dataset/kubric_data/scene_36/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.4, 3.4], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_37/cam2.mp4", "dataset/kubric_data/scene_37/cam0.mp4", "dataset/kubric_data/scene_37/cam1.mp4"], "video_ranges": [[1.2, 4.2], [1.8, 4.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_38/cam0.mp4", "dataset/kubric_data/scene_38/cam1.mp4", "dataset/kubric_data/scene_38/cam2.mp4"], "video_ranges": [[1.7, 4.7], [0.6, 3.6], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_39/cam0.mp4", "dataset/kubric_data/scene_39/cam1.mp4", "dataset/kubric_data/scene_39/cam2.mp4"], "video_ranges": [[0.7, 3.7], [0.0, 3.0], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +1.2 seconds."], "answer": "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_40/cam2.mp4", "dataset/kubric_data/scene_40/cam0.mp4", "dataset/kubric_data/scene_40/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_41/cam0.mp4", "dataset/kubric_data/scene_41/cam2.mp4", "dataset/kubric_data/scene_41/cam1.mp4"], "video_ranges": [[0.6, 3.6], [0.5, 3.5], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_42/cam0.mp4", "dataset/kubric_data/scene_42/cam1.mp4", "dataset/kubric_data/scene_42/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.2, 3.2], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.5 seconds."], "answer": "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_43/cam0.mp4", "dataset/kubric_data/scene_43/cam1.mp4", "dataset/kubric_data/scene_43/cam2.mp4"], "video_ranges": [[1.4, 4.4], [0.9, 3.9], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_44/cam2.mp4", "dataset/kubric_data/scene_44/cam1.mp4", "dataset/kubric_data/scene_44/cam0.mp4"], "video_ranges": [[1.2, 4.2], [1.1, 4.1], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds."], "answer": "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_45/cam0.mp4", "dataset/kubric_data/scene_45/cam1.mp4", "dataset/kubric_data/scene_45/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.7, 4.7], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_46/cam2.mp4", "dataset/kubric_data/scene_46/cam0.mp4", "dataset/kubric_data/scene_46/cam1.mp4"], "video_ranges": [[0.8, 3.8], [0.4, 3.4], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -1.0 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_47/cam2.mp4", "dataset/kubric_data/scene_47/cam1.mp4", "dataset/kubric_data/scene_47/cam0.mp4"], "video_ranges": [[1.1, 4.1], [1.8, 4.8], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_48/cam2.mp4", "dataset/kubric_data/scene_48/cam1.mp4", "dataset/kubric_data/scene_48/cam0.mp4"], "video_ranges": [[1.9, 4.9], [1.4, 4.4], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_49/cam1.mp4", "dataset/kubric_data/scene_49/cam0.mp4", "dataset/kubric_data/scene_49/cam2.mp4"], "video_ranges": [[0.6, 3.6], [2.0, 5.0], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.9 seconds.", "B) Video 2 starts at +2.0 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at -1.9 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +1.9 seconds; Video 3 starts at +1.1 seconds."], "answer": "D) Video 2 starts at +1.9 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_50/cam0.mp4", "dataset/kubric_data/scene_50/cam2.mp4", "dataset/kubric_data/scene_50/cam1.mp4"], "video_ranges": [[0.1, 3.1], [2.0, 5.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.8 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at -2.0 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -1.8 seconds."], "answer": "A) Video 2 starts at -1.8 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_51/cam0.mp4", "dataset/kubric_data/scene_51/cam2.mp4", "dataset/kubric_data/scene_51/cam1.mp4"], "video_ranges": [[1.8, 4.8], [0.0, 3.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.6 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_52/cam2.mp4", "dataset/kubric_data/scene_52/cam0.mp4", "dataset/kubric_data/scene_52/cam1.mp4"], "video_ranges": [[1.7, 4.7], [1.3, 4.3], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -0.3 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_53/cam0.mp4", "dataset/kubric_data/scene_53/cam1.mp4", "dataset/kubric_data/scene_53/cam2.mp4"], "video_ranges": [[1.4, 4.4], [0.2, 3.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at -1.4 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_54/cam2.mp4", "dataset/kubric_data/scene_54/cam0.mp4", "dataset/kubric_data/scene_54/cam1.mp4"], "video_ranges": [[1.4, 4.4], [0.0, 3.0], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.1 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_55/cam2.mp4", "dataset/kubric_data/scene_55/cam0.mp4", "dataset/kubric_data/scene_55/cam1.mp4"], "video_ranges": [[1.3, 4.3], [1.4, 4.4], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at -0.1 seconds."], "answer": "B) Video 2 starts at -1.3 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_56/cam1.mp4", "dataset/kubric_data/scene_56/cam0.mp4", "dataset/kubric_data/scene_56/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.5, 3.5], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -1.4 seconds."], "answer": "B) Video 2 starts at -1.4 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_57/cam0.mp4", "dataset/kubric_data/scene_57/cam1.mp4", "dataset/kubric_data/scene_57/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.3, 3.3], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_58/cam0.mp4", "dataset/kubric_data/scene_58/cam1.mp4", "dataset/kubric_data/scene_58/cam2.mp4"], "video_ranges": [[0.5, 3.5], [0.3, 3.3], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.4 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_59/cam1.mp4", "dataset/kubric_data/scene_59/cam2.mp4", "dataset/kubric_data/scene_59/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.2, 4.2], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_60/cam2.mp4", "dataset/kubric_data/scene_60/cam0.mp4", "dataset/kubric_data/scene_60/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.7, 4.7], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -2.1 seconds.", "B) Video 2 starts at -1.7 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.7 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.7 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.7 seconds.", "videos": ["dataset/kubric_data/scene_61/cam0.mp4", "dataset/kubric_data/scene_61/cam1.mp4", "dataset/kubric_data/scene_61/cam2.mp4"], "video_ranges": [[1.7, 4.7], [1.4, 4.4], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at -1.4 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_62/cam1.mp4", "dataset/kubric_data/scene_62/cam0.mp4", "dataset/kubric_data/scene_62/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.2, 3.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_63/cam1.mp4", "dataset/kubric_data/scene_63/cam2.mp4", "dataset/kubric_data/scene_63/cam0.mp4"], "video_ranges": [[0.5, 3.5], [1.8, 4.8], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_64/cam1.mp4", "dataset/kubric_data/scene_64/cam2.mp4", "dataset/kubric_data/scene_64/cam0.mp4"], "video_ranges": [[0.7, 3.7], [0.9, 3.9], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.3 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_65/cam1.mp4", "dataset/kubric_data/scene_65/cam2.mp4", "dataset/kubric_data/scene_65/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.3, 3.3], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +1.5 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_66/cam2.mp4", "dataset/kubric_data/scene_66/cam0.mp4", "dataset/kubric_data/scene_66/cam1.mp4"], "video_ranges": [[0.6, 3.6], [0.4, 3.4], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.0 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds."], "answer": "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_67/cam1.mp4", "dataset/kubric_data/scene_67/cam0.mp4", "dataset/kubric_data/scene_67/cam2.mp4"], "video_ranges": [[1.4, 4.4], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at -0.0 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +1.0 seconds."], "answer": "B) Video 2 starts at +1.0 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_68/cam2.mp4", "dataset/kubric_data/scene_68/cam1.mp4", "dataset/kubric_data/scene_68/cam0.mp4"], "video_ranges": [[0.6, 3.6], [1.6, 4.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +1.8 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -1.8 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +1.0 seconds."], "answer": "A) Video 2 starts at +1.0 seconds; Video 3 starts at +1.8 seconds.", "videos": ["dataset/kubric_data/scene_69/cam2.mp4", "dataset/kubric_data/scene_69/cam1.mp4", "dataset/kubric_data/scene_69/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.1, 4.1], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.4 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_70/cam0.mp4", "dataset/kubric_data/scene_70/cam2.mp4", "dataset/kubric_data/scene_70/cam1.mp4"], "video_ranges": [[0.5, 3.5], [0.0, 3.0], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_71/cam0.mp4", "dataset/kubric_data/scene_71/cam1.mp4", "dataset/kubric_data/scene_71/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.3, 4.3], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.7 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_72/cam0.mp4", "dataset/kubric_data/scene_72/cam2.mp4", "dataset/kubric_data/scene_72/cam1.mp4"], "video_ranges": [[0.1, 3.1], [0.2, 3.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.0 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.4 seconds."], "answer": "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_73/cam1.mp4", "dataset/kubric_data/scene_73/cam2.mp4", "dataset/kubric_data/scene_73/cam0.mp4"], "video_ranges": [[0.7, 3.7], [0.2, 3.2], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_74/cam2.mp4", "dataset/kubric_data/scene_74/cam0.mp4", "dataset/kubric_data/scene_74/cam1.mp4"], "video_ranges": [[0.3, 3.3], [1.2, 4.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds."], "answer": "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_75/cam0.mp4", "dataset/kubric_data/scene_75/cam2.mp4", "dataset/kubric_data/scene_75/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.6, 4.6], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_76/cam2.mp4", "dataset/kubric_data/scene_76/cam0.mp4", "dataset/kubric_data/scene_76/cam1.mp4"], "video_ranges": [[1.0, 4.0], [1.4, 4.4], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_77/cam2.mp4", "dataset/kubric_data/scene_77/cam1.mp4", "dataset/kubric_data/scene_77/cam0.mp4"], "video_ranges": [[0.6, 3.6], [0.5, 3.5], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -1.4 seconds."], "answer": "C) Video 2 starts at +0.4 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_78/cam2.mp4", "dataset/kubric_data/scene_78/cam0.mp4", "dataset/kubric_data/scene_78/cam1.mp4"], "video_ranges": [[0.0, 3.0], [0.4, 3.4], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_79/cam2.mp4", "dataset/kubric_data/scene_79/cam1.mp4", "dataset/kubric_data/scene_79/cam0.mp4"], "video_ranges": [[1.5, 4.5], [0.8, 3.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_80/cam0.mp4", "dataset/kubric_data/scene_80/cam2.mp4", "dataset/kubric_data/scene_80/cam1.mp4"], "video_ranges": [[1.0, 4.0], [1.8, 4.8], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at +0.9 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_81/cam1.mp4", "dataset/kubric_data/scene_81/cam0.mp4", "dataset/kubric_data/scene_81/cam2.mp4"], "video_ranges": [[0.7, 3.7], [1.6, 4.6], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -1.4 seconds."], "answer": "A) Video 2 starts at -1.7 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_82/cam2.mp4", "dataset/kubric_data/scene_82/cam1.mp4", "dataset/kubric_data/scene_82/cam0.mp4"], "video_ranges": [[1.9, 4.9], [0.2, 3.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +1.0 seconds."], "answer": "B) Video 2 starts at +0.4 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_83/cam1.mp4", "dataset/kubric_data/scene_83/cam0.mp4", "dataset/kubric_data/scene_83/cam2.mp4"], "video_ranges": [[1.5, 4.5], [1.9, 4.9], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.9 seconds."], "answer": "A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_84/cam2.mp4", "dataset/kubric_data/scene_84/cam0.mp4", "dataset/kubric_data/scene_84/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.8, 4.8], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at -0.5 seconds."], "answer": "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_85/cam2.mp4", "dataset/kubric_data/scene_85/cam0.mp4", "dataset/kubric_data/scene_85/cam1.mp4"], "video_ranges": [[0.7, 3.7], [1.6, 4.6], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_86/cam0.mp4", "dataset/kubric_data/scene_86/cam1.mp4", "dataset/kubric_data/scene_86/cam2.mp4"], "video_ranges": [[1.5, 4.5], [1.6, 4.6], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_87/cam0.mp4", "dataset/kubric_data/scene_87/cam1.mp4", "dataset/kubric_data/scene_87/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.5, 3.5], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_88/cam2.mp4", "dataset/kubric_data/scene_88/cam0.mp4", "dataset/kubric_data/scene_88/cam1.mp4"], "video_ranges": [[0.5, 3.5], [0.0, 3.0], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds."], "answer": "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_89/cam2.mp4", "dataset/kubric_data/scene_89/cam0.mp4", "dataset/kubric_data/scene_89/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.3, 3.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds."], "answer": "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_90/cam2.mp4", "dataset/kubric_data/scene_90/cam0.mp4", "dataset/kubric_data/scene_90/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.8, 4.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.6 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_91/cam0.mp4", "dataset/kubric_data/scene_91/cam1.mp4", "dataset/kubric_data/scene_91/cam2.mp4"], "video_ranges": [[0.7, 3.7], [1.4, 4.4], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_92/cam1.mp4", "dataset/kubric_data/scene_92/cam2.mp4", "dataset/kubric_data/scene_92/cam0.mp4"], "video_ranges": [[1.5, 4.5], [1.8, 4.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_93/cam2.mp4", "dataset/kubric_data/scene_93/cam0.mp4", "dataset/kubric_data/scene_93/cam1.mp4"], "video_ranges": [[1.6, 4.6], [0.4, 3.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.0 seconds."], "answer": "B) Video 2 starts at +1.6 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_94/cam2.mp4", "dataset/kubric_data/scene_94/cam0.mp4", "dataset/kubric_data/scene_94/cam1.mp4"], "video_ranges": [[0.4, 3.4], [2.0, 5.0], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.7 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_95/cam1.mp4", "dataset/kubric_data/scene_95/cam2.mp4", "dataset/kubric_data/scene_95/cam0.mp4"], "video_ranges": [[0.0, 3.0], [0.1, 3.1], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at +0.4 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_96/cam0.mp4", "dataset/kubric_data/scene_96/cam2.mp4", "dataset/kubric_data/scene_96/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.7, 3.7], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_97/cam2.mp4", "dataset/kubric_data/scene_97/cam1.mp4", "dataset/kubric_data/scene_97/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.2, 3.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds."], "answer": "A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_98/cam0.mp4", "dataset/kubric_data/scene_98/cam1.mp4", "dataset/kubric_data/scene_98/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.5, 3.5], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +0.0 seconds."], "answer": "A) Video 2 starts at +1.6 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_99/cam1.mp4", "dataset/kubric_data/scene_99/cam2.mp4", "dataset/kubric_data/scene_99/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.8, 4.8], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +2.0 seconds; Video 3 starts at +1.7 seconds.", "B) Video 2 starts at -1.8 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +1.4 seconds."], "answer": "D) Video 2 starts at +1.8 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_100/cam2.mp4", "dataset/kubric_data/scene_100/cam0.mp4", "dataset/kubric_data/scene_100/cam1.mp4"], "video_ranges": [[0.1, 3.1], [1.9, 4.9], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_101/cam2.mp4", "dataset/kubric_data/scene_101/cam0.mp4", "dataset/kubric_data/scene_101/cam1.mp4"], "video_ranges": [[0.4, 3.4], [0.2, 3.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_102/cam0.mp4", "dataset/kubric_data/scene_102/cam2.mp4", "dataset/kubric_data/scene_102/cam1.mp4"], "video_ranges": [[0.7, 3.7], [1.2, 4.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at +0.7 seconds."], "answer": "D) Video 2 starts at -1.2 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_103/cam2.mp4", "dataset/kubric_data/scene_103/cam0.mp4", "dataset/kubric_data/scene_103/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.1, 3.1], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_104/cam2.mp4", "dataset/kubric_data/scene_104/cam0.mp4", "dataset/kubric_data/scene_104/cam1.mp4"], "video_ranges": [[1.8, 4.8], [0.5, 3.5], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.0 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -0.3 seconds."], "answer": "A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_105/cam0.mp4", "dataset/kubric_data/scene_105/cam1.mp4", "dataset/kubric_data/scene_105/cam2.mp4"], "video_ranges": [[0.1, 3.1], [1.4, 4.4], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.0 seconds; Video 3 starts at +0.0 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_106/cam2.mp4", "dataset/kubric_data/scene_106/cam0.mp4", "dataset/kubric_data/scene_106/cam1.mp4"], "video_ranges": [[1.6, 4.6], [1.8, 4.8], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_107/cam2.mp4", "dataset/kubric_data/scene_107/cam1.mp4", "dataset/kubric_data/scene_107/cam0.mp4"], "video_ranges": [[0.9, 3.9], [2.0, 5.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.0 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_108/cam0.mp4", "dataset/kubric_data/scene_108/cam2.mp4", "dataset/kubric_data/scene_108/cam1.mp4"], "video_ranges": [[0.9, 3.9], [0.7, 3.7], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.0 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_109/cam2.mp4", "dataset/kubric_data/scene_109/cam0.mp4", "dataset/kubric_data/scene_109/cam1.mp4"], "video_ranges": [[2.0, 5.0], [1.2, 4.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.5 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_110/cam0.mp4", "dataset/kubric_data/scene_110/cam1.mp4", "dataset/kubric_data/scene_110/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.2, 3.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +2.0 seconds; Video 3 starts at +0.0 seconds.", "B) Video 2 starts at -1.8 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +0.3 seconds."], "answer": "D) Video 2 starts at +1.8 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_111/cam2.mp4", "dataset/kubric_data/scene_111/cam0.mp4", "dataset/kubric_data/scene_111/cam1.mp4"], "video_ranges": [[0.2, 3.2], [2.0, 5.0], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_112/cam1.mp4", "dataset/kubric_data/scene_112/cam2.mp4", "dataset/kubric_data/scene_112/cam0.mp4"], "video_ranges": [[0.6, 3.6], [1.7, 4.7], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at +0.9 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_113/cam0.mp4", "dataset/kubric_data/scene_113/cam2.mp4", "dataset/kubric_data/scene_113/cam1.mp4"], "video_ranges": [[0.4, 3.4], [0.7, 3.7], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_114/cam0.mp4", "dataset/kubric_data/scene_114/cam2.mp4", "dataset/kubric_data/scene_114/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.6, 3.6], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.6 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -1.8 seconds.", "C) Video 2 starts at +1.8 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at -1.8 seconds; Video 3 starts at -1.0 seconds."], "answer": "D) Video 2 starts at -1.8 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_115/cam1.mp4", "dataset/kubric_data/scene_115/cam0.mp4", "dataset/kubric_data/scene_115/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.0, 3.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.0 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_116/cam2.mp4", "dataset/kubric_data/scene_116/cam1.mp4", "dataset/kubric_data/scene_116/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.7, 3.7], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_117/cam1.mp4", "dataset/kubric_data/scene_117/cam0.mp4", "dataset/kubric_data/scene_117/cam2.mp4"], "video_ranges": [[0.1, 3.1], [0.2, 3.2], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -1.2 seconds."], "answer": "C) Video 2 starts at +1.6 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_118/cam2.mp4", "dataset/kubric_data/scene_118/cam0.mp4", "dataset/kubric_data/scene_118/cam1.mp4"], "video_ranges": [[0.3, 3.3], [1.9, 4.9], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_119/cam0.mp4", "dataset/kubric_data/scene_119/cam2.mp4", "dataset/kubric_data/scene_119/cam1.mp4"], "video_ranges": [[0.8, 3.8], [0.5, 3.5], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -1.1 seconds."], "answer": "A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_120/cam0.mp4", "dataset/kubric_data/scene_120/cam1.mp4", "dataset/kubric_data/scene_120/cam2.mp4"], "video_ranges": [[1.1, 4.1], [1.6, 4.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_121/cam0.mp4", "dataset/kubric_data/scene_121/cam1.mp4", "dataset/kubric_data/scene_121/cam2.mp4"], "video_ranges": [[0.3, 3.3], [0.2, 3.2], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at -0.9 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_122/cam0.mp4", "dataset/kubric_data/scene_122/cam2.mp4", "dataset/kubric_data/scene_122/cam1.mp4"], "video_ranges": [[0.9, 3.9], [0.0, 3.0], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +1.8 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.8 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at -1.8 seconds; Video 3 starts at -1.3 seconds."], "answer": "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.8 seconds.", "videos": ["dataset/kubric_data/scene_123/cam0.mp4", "dataset/kubric_data/scene_123/cam1.mp4", "dataset/kubric_data/scene_123/cam2.mp4"], "video_ranges": [[1.9, 4.9], [0.6, 3.6], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_124/cam1.mp4", "dataset/kubric_data/scene_124/cam2.mp4", "dataset/kubric_data/scene_124/cam0.mp4"], "video_ranges": [[0.9, 3.9], [0.8, 3.8], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +2.0 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -1.7 seconds."], "answer": "B) Video 2 starts at +0.4 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_125/cam2.mp4", "dataset/kubric_data/scene_125/cam0.mp4", "dataset/kubric_data/scene_125/cam1.mp4"], "video_ranges": [[0.1, 3.1], [0.5, 3.5], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.5 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_126/cam2.mp4", "dataset/kubric_data/scene_126/cam0.mp4", "dataset/kubric_data/scene_126/cam1.mp4"], "video_ranges": [[0.0, 3.0], [1.2, 4.2], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_127/cam2.mp4", "dataset/kubric_data/scene_127/cam1.mp4", "dataset/kubric_data/scene_127/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.6, 4.6], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_128/cam2.mp4", "dataset/kubric_data/scene_128/cam0.mp4", "dataset/kubric_data/scene_128/cam1.mp4"], "video_ranges": [[1.9, 4.9], [1.3, 4.3], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_129/cam2.mp4", "dataset/kubric_data/scene_129/cam0.mp4", "dataset/kubric_data/scene_129/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_130/cam0.mp4", "dataset/kubric_data/scene_130/cam2.mp4", "dataset/kubric_data/scene_130/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.8, 4.8], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.4 seconds."], "answer": "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_131/cam2.mp4", "dataset/kubric_data/scene_131/cam0.mp4", "dataset/kubric_data/scene_131/cam1.mp4"], "video_ranges": [[1.3, 4.3], [0.7, 3.7], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.0 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.3 seconds."], "answer": "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_132/cam2.mp4", "dataset/kubric_data/scene_132/cam0.mp4", "dataset/kubric_data/scene_132/cam1.mp4"], "video_ranges": [[0.8, 3.8], [0.1, 3.1], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -1.8 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.6 seconds."], "answer": "B) Video 2 starts at -1.6 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_133/cam0.mp4", "dataset/kubric_data/scene_133/cam1.mp4", "dataset/kubric_data/scene_133/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.0, 3.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_134/cam2.mp4", "dataset/kubric_data/scene_134/cam1.mp4", "dataset/kubric_data/scene_134/cam0.mp4"], "video_ranges": [[1.5, 4.5], [1.0, 4.0], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_135/cam1.mp4", "dataset/kubric_data/scene_135/cam2.mp4", "dataset/kubric_data/scene_135/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.0, 4.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_136/cam0.mp4", "dataset/kubric_data/scene_136/cam1.mp4", "dataset/kubric_data/scene_136/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.3, 4.3], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at -0.9 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_137/cam0.mp4", "dataset/kubric_data/scene_137/cam1.mp4", "dataset/kubric_data/scene_137/cam2.mp4"], "video_ranges": [[1.0, 4.0], [0.4, 3.4], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_138/cam2.mp4", "dataset/kubric_data/scene_138/cam0.mp4", "dataset/kubric_data/scene_138/cam1.mp4"], "video_ranges": [[0.7, 3.7], [0.4, 3.4], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_139/cam0.mp4", "dataset/kubric_data/scene_139/cam1.mp4", "dataset/kubric_data/scene_139/cam2.mp4"], "video_ranges": [[1.8, 4.8], [1.4, 4.4], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -1.6 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at -1.6 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_140/cam1.mp4", "dataset/kubric_data/scene_140/cam0.mp4", "dataset/kubric_data/scene_140/cam2.mp4"], "video_ranges": [[1.7, 4.7], [0.1, 3.1], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.9 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_141/cam0.mp4", "dataset/kubric_data/scene_141/cam2.mp4", "dataset/kubric_data/scene_141/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.8, 4.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_142/cam1.mp4", "dataset/kubric_data/scene_142/cam2.mp4", "dataset/kubric_data/scene_142/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.5, 4.5], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.9 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_143/cam0.mp4", "dataset/kubric_data/scene_143/cam2.mp4", "dataset/kubric_data/scene_143/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.0, 4.0], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_144/cam2.mp4", "dataset/kubric_data/scene_144/cam0.mp4", "dataset/kubric_data/scene_144/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.8, 4.8], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.3 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_145/cam2.mp4", "dataset/kubric_data/scene_145/cam1.mp4", "dataset/kubric_data/scene_145/cam0.mp4"], "video_ranges": [[1.5, 4.5], [1.2, 4.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_146/cam1.mp4", "dataset/kubric_data/scene_146/cam0.mp4", "dataset/kubric_data/scene_146/cam2.mp4"], "video_ranges": [[0.5, 3.5], [0.3, 3.3], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.8 seconds."], "answer": "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_147/cam0.mp4", "dataset/kubric_data/scene_147/cam2.mp4", "dataset/kubric_data/scene_147/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.3, 3.3], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.4 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_148/cam1.mp4", "dataset/kubric_data/scene_148/cam0.mp4", "dataset/kubric_data/scene_148/cam2.mp4"], "video_ranges": [[1.1, 4.1], [0.9, 3.9], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at -1.7 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_149/cam1.mp4", "dataset/kubric_data/scene_149/cam2.mp4", "dataset/kubric_data/scene_149/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.8, 4.8], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.6 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -1.6 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -2.0 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_150/cam1.mp4", "dataset/kubric_data/scene_150/cam0.mp4", "dataset/kubric_data/scene_150/cam2.mp4"], "video_ranges": [[1.7, 4.7], [1.2, 4.2], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.9 seconds.", "B) Video 2 starts at -1.9 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +1.9 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -1.8 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at -1.9 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_151/cam1.mp4", "dataset/kubric_data/scene_151/cam2.mp4", "dataset/kubric_data/scene_151/cam0.mp4"], "video_ranges": [[1.9, 4.9], [0.0, 3.0], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.8 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_152/cam2.mp4", "dataset/kubric_data/scene_152/cam0.mp4", "dataset/kubric_data/scene_152/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.4, 3.4], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +2.0 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at +1.6 seconds; Video 3 starts at +1.3 seconds."], "answer": "C) Video 2 starts at +1.3 seconds; Video 3 starts at +1.6 seconds.", "videos": ["dataset/kubric_data/scene_153/cam1.mp4", "dataset/kubric_data/scene_153/cam0.mp4", "dataset/kubric_data/scene_153/cam2.mp4"], "video_ranges": [[0.3, 3.3], [1.7, 4.7], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_154/cam1.mp4", "dataset/kubric_data/scene_154/cam0.mp4", "dataset/kubric_data/scene_154/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.8, 4.8], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.0 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.6 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_155/cam0.mp4", "dataset/kubric_data/scene_155/cam2.mp4", "dataset/kubric_data/scene_155/cam1.mp4"], "video_ranges": [[1.3, 4.3], [1.6, 4.6], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.0 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_156/cam2.mp4", "dataset/kubric_data/scene_156/cam0.mp4", "dataset/kubric_data/scene_156/cam1.mp4"], "video_ranges": [[1.1, 4.1], [1.0, 4.0], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_157/cam0.mp4", "dataset/kubric_data/scene_157/cam2.mp4", "dataset/kubric_data/scene_157/cam1.mp4"], "video_ranges": [[1.8, 4.8], [2.0, 5.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_158/cam1.mp4", "dataset/kubric_data/scene_158/cam2.mp4", "dataset/kubric_data/scene_158/cam0.mp4"], "video_ranges": [[1.7, 4.7], [0.5, 3.5], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_159/cam2.mp4", "dataset/kubric_data/scene_159/cam0.mp4", "dataset/kubric_data/scene_159/cam1.mp4"], "video_ranges": [[0.7, 3.7], [0.4, 3.4], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.5 seconds.", "B) Video 2 starts at -1.5 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -1.6 seconds."], "answer": "B) Video 2 starts at -1.5 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_160/cam2.mp4", "dataset/kubric_data/scene_160/cam0.mp4", "dataset/kubric_data/scene_160/cam1.mp4"], "video_ranges": [[1.8, 4.8], [0.2, 3.2], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -1.3 seconds."], "answer": "B) Video 2 starts at +1.2 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_161/cam0.mp4", "dataset/kubric_data/scene_161/cam2.mp4", "dataset/kubric_data/scene_161/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.8, 4.8], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds."], "answer": "A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_162/cam2.mp4", "dataset/kubric_data/scene_162/cam1.mp4", "dataset/kubric_data/scene_162/cam0.mp4"], "video_ranges": [[2.0, 5.0], [0.8, 3.8], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_163/cam1.mp4", "dataset/kubric_data/scene_163/cam2.mp4", "dataset/kubric_data/scene_163/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.8, 4.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_164/cam1.mp4", "dataset/kubric_data/scene_164/cam0.mp4", "dataset/kubric_data/scene_164/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.3, 4.3], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.9 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_165/cam2.mp4", "dataset/kubric_data/scene_165/cam1.mp4", "dataset/kubric_data/scene_165/cam0.mp4"], "video_ranges": [[0.4, 3.4], [0.3, 3.3], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_166/cam2.mp4", "dataset/kubric_data/scene_166/cam1.mp4", "dataset/kubric_data/scene_166/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.9, 3.9], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.4 seconds."], "answer": "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_167/cam2.mp4", "dataset/kubric_data/scene_167/cam0.mp4", "dataset/kubric_data/scene_167/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.5, 4.5], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_168/cam2.mp4", "dataset/kubric_data/scene_168/cam1.mp4", "dataset/kubric_data/scene_168/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.9, 3.9], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_169/cam0.mp4", "dataset/kubric_data/scene_169/cam2.mp4", "dataset/kubric_data/scene_169/cam1.mp4"], "video_ranges": [[0.1, 3.1], [1.3, 4.3], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +1.4 seconds."], "answer": "A) Video 2 starts at +0.6 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_170/cam0.mp4", "dataset/kubric_data/scene_170/cam1.mp4", "dataset/kubric_data/scene_170/cam2.mp4"], "video_ranges": [[1.4, 4.4], [2.0, 5.0], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.0 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.7 seconds."], "answer": "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_171/cam0.mp4", "dataset/kubric_data/scene_171/cam2.mp4", "dataset/kubric_data/scene_171/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_172/cam0.mp4", "dataset/kubric_data/scene_172/cam2.mp4", "dataset/kubric_data/scene_172/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.9, 3.9], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -1.9 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +1.9 seconds.", "D) Video 2 starts at -1.9 seconds; Video 3 starts at -0.4 seconds."], "answer": "A) Video 2 starts at -0.4 seconds; Video 3 starts at -1.9 seconds.", "videos": ["dataset/kubric_data/scene_173/cam2.mp4", "dataset/kubric_data/scene_173/cam1.mp4", "dataset/kubric_data/scene_173/cam0.mp4"], "video_ranges": [[2.0, 5.0], [1.6, 4.6], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.7 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -1.8 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at +1.8 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.8 seconds."], "answer": "C) Video 2 starts at +1.8 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_174/cam0.mp4", "dataset/kubric_data/scene_174/cam1.mp4", "dataset/kubric_data/scene_174/cam2.mp4"], "video_ranges": [[0.0, 3.0], [1.8, 4.8], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.9 seconds; Video 3 starts at +1.5 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +1.9 seconds.", "C) Video 2 starts at +1.9 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at -1.8 seconds; Video 3 starts at -1.9 seconds."], "answer": "B) Video 2 starts at +1.8 seconds; Video 3 starts at +1.9 seconds.", "videos": ["dataset/kubric_data/scene_175/cam2.mp4", "dataset/kubric_data/scene_175/cam0.mp4", "dataset/kubric_data/scene_175/cam1.mp4"], "video_ranges": [[0.0, 3.0], [1.8, 4.8], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_176/cam2.mp4", "dataset/kubric_data/scene_176/cam0.mp4", "dataset/kubric_data/scene_176/cam1.mp4"], "video_ranges": [[1.0, 4.0], [1.2, 4.2], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.5 seconds."], "answer": "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_177/cam0.mp4", "dataset/kubric_data/scene_177/cam2.mp4", "dataset/kubric_data/scene_177/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.4, 4.4], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_178/cam1.mp4", "dataset/kubric_data/scene_178/cam0.mp4", "dataset/kubric_data/scene_178/cam2.mp4"], "video_ranges": [[1.0, 4.0], [0.2, 3.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_179/cam2.mp4", "dataset/kubric_data/scene_179/cam1.mp4", "dataset/kubric_data/scene_179/cam0.mp4"], "video_ranges": [[1.1, 4.1], [1.7, 4.7], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.5 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.9 seconds.", "C) Video 2 starts at +1.9 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.9 seconds."], "answer": "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.9 seconds.", "videos": ["dataset/kubric_data/scene_180/cam2.mp4", "dataset/kubric_data/scene_180/cam1.mp4", "dataset/kubric_data/scene_180/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.4, 4.4], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.8 seconds."], "answer": "B) Video 2 starts at -0.8 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_181/cam1.mp4", "dataset/kubric_data/scene_181/cam0.mp4", "dataset/kubric_data/scene_181/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.9, 3.9], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds."], "answer": "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_182/cam0.mp4", "dataset/kubric_data/scene_182/cam1.mp4", "dataset/kubric_data/scene_182/cam2.mp4"], "video_ranges": [[0.9, 3.9], [0.2, 3.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_183/cam2.mp4", "dataset/kubric_data/scene_183/cam1.mp4", "dataset/kubric_data/scene_183/cam0.mp4"], "video_ranges": [[2.0, 5.0], [1.8, 4.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.0 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_184/cam2.mp4", "dataset/kubric_data/scene_184/cam1.mp4", "dataset/kubric_data/scene_184/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.6, 3.6], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_185/cam1.mp4", "dataset/kubric_data/scene_185/cam0.mp4", "dataset/kubric_data/scene_185/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.7, 4.7], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.7 seconds."], "answer": "A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_186/cam2.mp4", "dataset/kubric_data/scene_186/cam0.mp4", "dataset/kubric_data/scene_186/cam1.mp4"], "video_ranges": [[0.7, 3.7], [2.0, 5.0], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.0 seconds."], "answer": "A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_187/cam0.mp4", "dataset/kubric_data/scene_187/cam1.mp4", "dataset/kubric_data/scene_187/cam2.mp4"], "video_ranges": [[2.0, 5.0], [1.0, 4.0], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.2 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_188/cam1.mp4", "dataset/kubric_data/scene_188/cam2.mp4", "dataset/kubric_data/scene_188/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.0, 3.0], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.3 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_189/cam1.mp4", "dataset/kubric_data/scene_189/cam2.mp4", "dataset/kubric_data/scene_189/cam0.mp4"], "video_ranges": [[1.1, 4.1], [1.9, 4.9], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_190/cam2.mp4", "dataset/kubric_data/scene_190/cam1.mp4", "dataset/kubric_data/scene_190/cam0.mp4"], "video_ranges": [[1.7, 4.7], [1.4, 4.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +1.7 seconds.", "B) Video 2 starts at -1.7 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +1.6 seconds."], "answer": "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_191/cam1.mp4", "dataset/kubric_data/scene_191/cam2.mp4", "dataset/kubric_data/scene_191/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.8, 4.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.8 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.4 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_192/cam2.mp4", "dataset/kubric_data/scene_192/cam0.mp4", "dataset/kubric_data/scene_192/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.7, 4.7], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_193/cam2.mp4", "dataset/kubric_data/scene_193/cam1.mp4", "dataset/kubric_data/scene_193/cam0.mp4"], "video_ranges": [[1.2, 4.2], [1.8, 4.8], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +1.1 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_194/cam1.mp4", "dataset/kubric_data/scene_194/cam2.mp4", "dataset/kubric_data/scene_194/cam0.mp4"], "video_ranges": [[1.1, 4.1], [1.4, 4.4], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_195/cam2.mp4", "dataset/kubric_data/scene_195/cam1.mp4", "dataset/kubric_data/scene_195/cam0.mp4"], "video_ranges": [[1.0, 4.0], [0.6, 3.6], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_196/cam2.mp4", "dataset/kubric_data/scene_196/cam1.mp4", "dataset/kubric_data/scene_196/cam0.mp4"], "video_ranges": [[1.2, 4.2], [1.6, 4.6], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_197/cam0.mp4", "dataset/kubric_data/scene_197/cam1.mp4", "dataset/kubric_data/scene_197/cam2.mp4"], "video_ranges": [[1.4, 4.4], [1.8, 4.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_198/cam0.mp4", "dataset/kubric_data/scene_198/cam1.mp4", "dataset/kubric_data/scene_198/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.0, 4.0], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_199/cam1.mp4", "dataset/kubric_data/scene_199/cam2.mp4", "dataset/kubric_data/scene_199/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.5, 4.5], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_200/cam2.mp4", "dataset/kubric_data/scene_200/cam0.mp4", "dataset/kubric_data/scene_200/cam1.mp4"], "video_ranges": [[0.8, 3.8], [0.8, 3.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_201/cam2.mp4", "dataset/kubric_data/scene_201/cam0.mp4", "dataset/kubric_data/scene_201/cam1.mp4"], "video_ranges": [[0.9, 3.9], [0.1, 3.1], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.4 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_202/cam1.mp4", "dataset/kubric_data/scene_202/cam0.mp4", "dataset/kubric_data/scene_202/cam2.mp4"], "video_ranges": [[0.6, 3.6], [0.1, 3.1], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_203/cam1.mp4", "dataset/kubric_data/scene_203/cam2.mp4", "dataset/kubric_data/scene_203/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.6, 3.6], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_204/cam2.mp4", "dataset/kubric_data/scene_204/cam0.mp4", "dataset/kubric_data/scene_204/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.6, 4.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_205/cam2.mp4", "dataset/kubric_data/scene_205/cam0.mp4", "dataset/kubric_data/scene_205/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.9, 4.9], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at -1.7 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +1.7 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_206/cam1.mp4", "dataset/kubric_data/scene_206/cam0.mp4", "dataset/kubric_data/scene_206/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.9, 4.9], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_207/cam1.mp4", "dataset/kubric_data/scene_207/cam0.mp4", "dataset/kubric_data/scene_207/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.5, 4.5], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_208/cam1.mp4", "dataset/kubric_data/scene_208/cam0.mp4", "dataset/kubric_data/scene_208/cam2.mp4"], "video_ranges": [[1.9, 4.9], [2.0, 5.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_209/cam2.mp4", "dataset/kubric_data/scene_209/cam1.mp4", "dataset/kubric_data/scene_209/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.7, 3.7], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.7 seconds."], "answer": "C) Video 2 starts at -0.7 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_210/cam1.mp4", "dataset/kubric_data/scene_210/cam0.mp4", "dataset/kubric_data/scene_210/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.1, 3.1], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +1.7 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -1.7 seconds.", "D) Video 2 starts at -1.7 seconds; Video 3 starts at -1.4 seconds."], "answer": "C) Video 2 starts at -1.4 seconds; Video 3 starts at -1.7 seconds.", "videos": ["dataset/kubric_data/scene_211/cam0.mp4", "dataset/kubric_data/scene_211/cam2.mp4", "dataset/kubric_data/scene_211/cam1.mp4"], "video_ranges": [[2.0, 5.0], [0.6, 3.6], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +1.2 seconds."], "answer": "A) Video 2 starts at -1.7 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_212/cam0.mp4", "dataset/kubric_data/scene_212/cam1.mp4", "dataset/kubric_data/scene_212/cam2.mp4"], "video_ranges": [[1.9, 4.9], [0.2, 3.2], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_213/cam2.mp4", "dataset/kubric_data/scene_213/cam1.mp4", "dataset/kubric_data/scene_213/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.6, 3.6], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_214/cam1.mp4", "dataset/kubric_data/scene_214/cam2.mp4", "dataset/kubric_data/scene_214/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.6, 4.6], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.3 seconds."], "answer": "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_215/cam1.mp4", "dataset/kubric_data/scene_215/cam2.mp4", "dataset/kubric_data/scene_215/cam0.mp4"], "video_ranges": [[0.1, 3.1], [0.8, 3.8], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.9 seconds."], "answer": "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_216/cam1.mp4", "dataset/kubric_data/scene_216/cam2.mp4", "dataset/kubric_data/scene_216/cam0.mp4"], "video_ranges": [[0.4, 3.4], [1.3, 4.3], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_217/cam2.mp4", "dataset/kubric_data/scene_217/cam1.mp4", "dataset/kubric_data/scene_217/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.6, 3.6], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_218/cam2.mp4", "dataset/kubric_data/scene_218/cam1.mp4", "dataset/kubric_data/scene_218/cam0.mp4"], "video_ranges": [[0.1, 3.1], [0.2, 3.2], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_219/cam2.mp4", "dataset/kubric_data/scene_219/cam1.mp4", "dataset/kubric_data/scene_219/cam0.mp4"], "video_ranges": [[0.6, 3.6], [0.9, 3.9], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.9 seconds."], "answer": "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_220/cam2.mp4", "dataset/kubric_data/scene_220/cam0.mp4", "dataset/kubric_data/scene_220/cam1.mp4"], "video_ranges": [[1.6, 4.6], [0.4, 3.4], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_221/cam2.mp4", "dataset/kubric_data/scene_221/cam1.mp4", "dataset/kubric_data/scene_221/cam0.mp4"], "video_ranges": [[1.0, 4.0], [1.8, 4.8], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -1.5 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at +0.4 seconds."], "answer": "C) Video 2 starts at +0.4 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_222/cam1.mp4", "dataset/kubric_data/scene_222/cam0.mp4", "dataset/kubric_data/scene_222/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.4, 3.4], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.7 seconds."], "answer": "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_223/cam1.mp4", "dataset/kubric_data/scene_223/cam0.mp4", "dataset/kubric_data/scene_223/cam2.mp4"], "video_ranges": [[0.4, 3.4], [0.3, 3.3], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -0.0 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_224/cam1.mp4", "dataset/kubric_data/scene_224/cam0.mp4", "dataset/kubric_data/scene_224/cam2.mp4"], "video_ranges": [[0.4, 3.4], [0.5, 3.5], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_225/cam0.mp4", "dataset/kubric_data/scene_225/cam1.mp4", "dataset/kubric_data/scene_225/cam2.mp4"], "video_ranges": [[0.3, 3.3], [1.3, 4.3], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_226/cam2.mp4", "dataset/kubric_data/scene_226/cam0.mp4", "dataset/kubric_data/scene_226/cam1.mp4"], "video_ranges": [[1.6, 4.6], [1.3, 4.3], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.0 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.1 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_227/cam0.mp4", "dataset/kubric_data/scene_227/cam1.mp4", "dataset/kubric_data/scene_227/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.1, 4.1], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at +0.1 seconds."], "answer": "D) Video 2 starts at -1.3 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_228/cam1.mp4", "dataset/kubric_data/scene_228/cam0.mp4", "dataset/kubric_data/scene_228/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.5, 3.5], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_229/cam0.mp4", "dataset/kubric_data/scene_229/cam2.mp4", "dataset/kubric_data/scene_229/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.1, 4.1], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_230/cam0.mp4", "dataset/kubric_data/scene_230/cam1.mp4", "dataset/kubric_data/scene_230/cam2.mp4"], "video_ranges": [[1.0, 4.0], [1.8, 4.8], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +1.3 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_231/cam1.mp4", "dataset/kubric_data/scene_231/cam0.mp4", "dataset/kubric_data/scene_231/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.2, 3.2], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_232/cam0.mp4", "dataset/kubric_data/scene_232/cam2.mp4", "dataset/kubric_data/scene_232/cam1.mp4"], "video_ranges": [[2.0, 5.0], [1.9, 4.9], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds."], "answer": "A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_233/cam2.mp4", "dataset/kubric_data/scene_233/cam1.mp4", "dataset/kubric_data/scene_233/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.3, 4.3], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_234/cam2.mp4", "dataset/kubric_data/scene_234/cam1.mp4", "dataset/kubric_data/scene_234/cam0.mp4"], "video_ranges": [[0.9, 3.9], [0.3, 3.3], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_235/cam2.mp4", "dataset/kubric_data/scene_235/cam0.mp4", "dataset/kubric_data/scene_235/cam1.mp4"], "video_ranges": [[0.7, 3.7], [0.0, 3.0], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_236/cam2.mp4", "dataset/kubric_data/scene_236/cam0.mp4", "dataset/kubric_data/scene_236/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.3, 3.3], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.7 seconds."], "answer": "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_237/cam1.mp4", "dataset/kubric_data/scene_237/cam0.mp4", "dataset/kubric_data/scene_237/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.8, 4.8], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.0 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_238/cam2.mp4", "dataset/kubric_data/scene_238/cam1.mp4", "dataset/kubric_data/scene_238/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.4, 3.4], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -1.9 seconds.", "D) Video 2 starts at -1.9 seconds; Video 3 starts at -1.3 seconds."], "answer": "D) Video 2 starts at -1.9 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_239/cam0.mp4", "dataset/kubric_data/scene_239/cam2.mp4", "dataset/kubric_data/scene_239/cam1.mp4"], "video_ranges": [[1.9, 4.9], [0.0, 3.0], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_240/cam0.mp4", "dataset/kubric_data/scene_240/cam1.mp4", "dataset/kubric_data/scene_240/cam2.mp4"], "video_ranges": [[0.1, 3.1], [0.2, 3.2], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -1.3 seconds."], "answer": "A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_241/cam1.mp4", "dataset/kubric_data/scene_241/cam0.mp4", "dataset/kubric_data/scene_241/cam2.mp4"], "video_ranges": [[0.1, 3.1], [1.2, 4.2], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_242/cam1.mp4", "dataset/kubric_data/scene_242/cam2.mp4", "dataset/kubric_data/scene_242/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.3, 4.3], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_243/cam0.mp4", "dataset/kubric_data/scene_243/cam1.mp4", "dataset/kubric_data/scene_243/cam2.mp4"], "video_ranges": [[0.7, 3.7], [1.3, 4.3], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_244/cam0.mp4", "dataset/kubric_data/scene_244/cam1.mp4", "dataset/kubric_data/scene_244/cam2.mp4"], "video_ranges": [[0.3, 3.3], [1.1, 4.1], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_245/cam0.mp4", "dataset/kubric_data/scene_245/cam2.mp4", "dataset/kubric_data/scene_245/cam1.mp4"], "video_ranges": [[0.7, 3.7], [0.8, 3.8], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -1.7 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.7 seconds."], "answer": "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_246/cam0.mp4", "dataset/kubric_data/scene_246/cam1.mp4", "dataset/kubric_data/scene_246/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.9, 4.9], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_247/cam2.mp4", "dataset/kubric_data/scene_247/cam1.mp4", "dataset/kubric_data/scene_247/cam0.mp4"], "video_ranges": [[1.0, 4.0], [0.5, 3.5], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_248/cam1.mp4", "dataset/kubric_data/scene_248/cam0.mp4", "dataset/kubric_data/scene_248/cam2.mp4"], "video_ranges": [[1.4, 4.4], [1.6, 4.6], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.9 seconds.", "B) Video 2 starts at -1.5 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -1.5 seconds."], "answer": "D) Video 2 starts at +0.1 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_249/cam2.mp4", "dataset/kubric_data/scene_249/cam1.mp4", "dataset/kubric_data/scene_249/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.7, 4.7], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -1.0 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_250/cam0.mp4", "dataset/kubric_data/scene_250/cam2.mp4", "dataset/kubric_data/scene_250/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_251/cam0.mp4", "dataset/kubric_data/scene_251/cam2.mp4", "dataset/kubric_data/scene_251/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.6, 4.6], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_252/cam0.mp4", "dataset/kubric_data/scene_252/cam2.mp4", "dataset/kubric_data/scene_252/cam1.mp4"], "video_ranges": [[0.8, 3.8], [0.3, 3.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.0 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_253/cam1.mp4", "dataset/kubric_data/scene_253/cam0.mp4", "dataset/kubric_data/scene_253/cam2.mp4"], "video_ranges": [[1.3, 4.3], [1.4, 4.4], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at -0.1 seconds."], "answer": "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_254/cam0.mp4", "dataset/kubric_data/scene_254/cam1.mp4", "dataset/kubric_data/scene_254/cam2.mp4"], "video_ranges": [[1.7, 4.7], [1.2, 4.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +1.7 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +1.6 seconds."], "answer": "A) Video 2 starts at +1.6 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_255/cam1.mp4", "dataset/kubric_data/scene_255/cam0.mp4", "dataset/kubric_data/scene_255/cam2.mp4"], "video_ranges": [[0.3, 3.3], [1.9, 4.9], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds."], "answer": "D) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_256/cam2.mp4", "dataset/kubric_data/scene_256/cam1.mp4", "dataset/kubric_data/scene_256/cam0.mp4"], "video_ranges": [[1.7, 4.7], [1.3, 4.3], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.5 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.9 seconds."], "answer": "A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_257/cam1.mp4", "dataset/kubric_data/scene_257/cam0.mp4", "dataset/kubric_data/scene_257/cam2.mp4"], "video_ranges": [[0.5, 3.5], [1.8, 4.8], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.8 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at +1.9 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at +1.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_258/cam1.mp4", "dataset/kubric_data/scene_258/cam0.mp4", "dataset/kubric_data/scene_258/cam2.mp4"], "video_ranges": [[0.1, 3.1], [1.9, 4.9], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.6 seconds; Video 3 starts at +0.0 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at -1.7 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at -0.3 seconds."], "answer": "C) Video 2 starts at -1.7 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_259/cam2.mp4", "dataset/kubric_data/scene_259/cam0.mp4", "dataset/kubric_data/scene_259/cam1.mp4"], "video_ranges": [[1.7, 4.7], [0.0, 3.0], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -1.3 seconds."], "answer": "D) Video 2 starts at -1.1 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_260/cam2.mp4", "dataset/kubric_data/scene_260/cam1.mp4", "dataset/kubric_data/scene_260/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.2, 3.2], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_261/cam2.mp4", "dataset/kubric_data/scene_261/cam1.mp4", "dataset/kubric_data/scene_261/cam0.mp4"], "video_ranges": [[1.9, 4.9], [1.8, 4.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_262/cam1.mp4", "dataset/kubric_data/scene_262/cam0.mp4", "dataset/kubric_data/scene_262/cam2.mp4"], "video_ranges": [[1.6, 4.6], [1.2, 4.2], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.0 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at -0.4 seconds."], "answer": "D) Video 2 starts at +0.4 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_263/cam0.mp4", "dataset/kubric_data/scene_263/cam2.mp4", "dataset/kubric_data/scene_263/cam1.mp4"], "video_ranges": [[1.0, 4.0], [1.4, 4.4], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -1.5 seconds."], "answer": "C) Video 2 starts at +0.5 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_264/cam2.mp4", "dataset/kubric_data/scene_264/cam1.mp4", "dataset/kubric_data/scene_264/cam0.mp4"], "video_ranges": [[1.2, 4.2], [1.8, 4.8], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_265/cam2.mp4", "dataset/kubric_data/scene_265/cam1.mp4", "dataset/kubric_data/scene_265/cam0.mp4"], "video_ranges": [[0.3, 3.3], [0.9, 3.9], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_266/cam1.mp4", "dataset/kubric_data/scene_266/cam2.mp4", "dataset/kubric_data/scene_266/cam0.mp4"], "video_ranges": [[1.0, 4.0], [1.8, 4.8], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_267/cam0.mp4", "dataset/kubric_data/scene_267/cam1.mp4", "dataset/kubric_data/scene_267/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.9, 3.9], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_268/cam1.mp4", "dataset/kubric_data/scene_268/cam2.mp4", "dataset/kubric_data/scene_268/cam0.mp4"], "video_ranges": [[2.0, 5.0], [1.7, 4.7], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.0 seconds; Video 3 starts at +2.0 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "videos": ["dataset/kubric_data/scene_269/cam2.mp4", "dataset/kubric_data/scene_269/cam0.mp4", "dataset/kubric_data/scene_269/cam1.mp4"], "video_ranges": [[0.0, 3.0], [0.2, 3.2], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +1.0 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_270/cam2.mp4", "dataset/kubric_data/scene_270/cam0.mp4", "dataset/kubric_data/scene_270/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.0, 4.0], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_271/cam1.mp4", "dataset/kubric_data/scene_271/cam2.mp4", "dataset/kubric_data/scene_271/cam0.mp4"], "video_ranges": [[1.7, 4.7], [0.9, 3.9], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +1.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_272/cam1.mp4", "dataset/kubric_data/scene_272/cam2.mp4", "dataset/kubric_data/scene_272/cam0.mp4"], "video_ranges": [[0.4, 3.4], [1.8, 4.8], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -2.0 seconds.", "B) Video 2 starts at -1.8 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +2.0 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -2.0 seconds; Video 3 starts at -1.2 seconds."], "answer": "D) Video 2 starts at -2.0 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_273/cam0.mp4", "dataset/kubric_data/scene_273/cam1.mp4", "dataset/kubric_data/scene_273/cam2.mp4"], "video_ranges": [[2.0, 5.0], [0.0, 3.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_274/cam1.mp4", "dataset/kubric_data/scene_274/cam0.mp4", "dataset/kubric_data/scene_274/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.6, 4.6], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.1 seconds."], "answer": "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_275/cam2.mp4", "dataset/kubric_data/scene_275/cam0.mp4", "dataset/kubric_data/scene_275/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.5, 4.5], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -1.0 seconds."], "answer": "A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_276/cam0.mp4", "dataset/kubric_data/scene_276/cam1.mp4", "dataset/kubric_data/scene_276/cam2.mp4"], "video_ranges": [[0.0, 3.0], [1.1, 4.1], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +1.4 seconds."], "answer": "C) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_277/cam2.mp4", "dataset/kubric_data/scene_277/cam1.mp4", "dataset/kubric_data/scene_277/cam0.mp4"], "video_ranges": [[0.3, 3.3], [1.8, 4.8], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.5 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +1.9 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_278/cam0.mp4", "dataset/kubric_data/scene_278/cam1.mp4", "dataset/kubric_data/scene_278/cam2.mp4"], "video_ranges": [[0.1, 3.1], [1.2, 4.2], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.7 seconds."], "answer": "C) Video 2 starts at -0.7 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_279/cam0.mp4", "dataset/kubric_data/scene_279/cam1.mp4", "dataset/kubric_data/scene_279/cam2.mp4"], "video_ranges": [[1.5, 4.5], [0.8, 3.8], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.0 seconds."], "answer": "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_280/cam1.mp4", "dataset/kubric_data/scene_280/cam2.mp4", "dataset/kubric_data/scene_280/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.1, 4.1], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.9 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_281/cam0.mp4", "dataset/kubric_data/scene_281/cam1.mp4", "dataset/kubric_data/scene_281/cam2.mp4"], "video_ranges": [[1.3, 4.3], [1.7, 4.7], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.0 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_282/cam2.mp4", "dataset/kubric_data/scene_282/cam0.mp4", "dataset/kubric_data/scene_282/cam1.mp4"], "video_ranges": [[0.4, 3.4], [0.5, 3.5], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_283/cam0.mp4", "dataset/kubric_data/scene_283/cam2.mp4", "dataset/kubric_data/scene_283/cam1.mp4"], "video_ranges": [[1.1, 4.1], [0.8, 3.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_284/cam0.mp4", "dataset/kubric_data/scene_284/cam1.mp4", "dataset/kubric_data/scene_284/cam2.mp4"], "video_ranges": [[0.0, 3.0], [1.2, 4.2], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_285/cam1.mp4", "dataset/kubric_data/scene_285/cam2.mp4", "dataset/kubric_data/scene_285/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.3, 4.3], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.5 seconds."], "answer": "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_286/cam1.mp4", "dataset/kubric_data/scene_286/cam0.mp4", "dataset/kubric_data/scene_286/cam2.mp4"], "video_ranges": [[0.7, 3.7], [1.3, 4.3], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -1.2 seconds."], "answer": "A) Video 2 starts at +1.3 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_287/cam2.mp4", "dataset/kubric_data/scene_287/cam1.mp4", "dataset/kubric_data/scene_287/cam0.mp4"], "video_ranges": [[0.5, 3.5], [1.8, 4.8], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_288/cam0.mp4", "dataset/kubric_data/scene_288/cam2.mp4", "dataset/kubric_data/scene_288/cam1.mp4"], "video_ranges": [[1.3, 4.3], [1.8, 4.8], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at +0.0 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_289/cam1.mp4", "dataset/kubric_data/scene_289/cam0.mp4", "dataset/kubric_data/scene_289/cam2.mp4"], "video_ranges": [[0.7, 3.7], [0.5, 3.5], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at -1.0 seconds."], "answer": "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_290/cam1.mp4", "dataset/kubric_data/scene_290/cam0.mp4", "dataset/kubric_data/scene_290/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.8, 4.8], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.4 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.1 seconds."], "answer": "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_291/cam2.mp4", "dataset/kubric_data/scene_291/cam1.mp4", "dataset/kubric_data/scene_291/cam0.mp4"], "video_ranges": [[0.5, 3.5], [1.4, 4.4], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.0 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_292/cam2.mp4", "dataset/kubric_data/scene_292/cam0.mp4", "dataset/kubric_data/scene_292/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.5, 3.5], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at -0.5 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_293/cam2.mp4", "dataset/kubric_data/scene_293/cam1.mp4", "dataset/kubric_data/scene_293/cam0.mp4"], "video_ranges": [[1.7, 4.7], [1.6, 4.6], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_294/cam1.mp4", "dataset/kubric_data/scene_294/cam2.mp4", "dataset/kubric_data/scene_294/cam0.mp4"], "video_ranges": [[1.0, 4.0], [0.6, 3.6], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -0.9 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_295/cam1.mp4", "dataset/kubric_data/scene_295/cam0.mp4", "dataset/kubric_data/scene_295/cam2.mp4"], "video_ranges": [[1.4, 4.4], [0.5, 3.5], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_296/cam1.mp4", "dataset/kubric_data/scene_296/cam0.mp4", "dataset/kubric_data/scene_296/cam2.mp4"], "video_ranges": [[0.6, 3.6], [0.9, 3.9], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_297/cam2.mp4", "dataset/kubric_data/scene_297/cam1.mp4", "dataset/kubric_data/scene_297/cam0.mp4"], "video_ranges": [[1.9, 4.9], [2.0, 5.0], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -1.2 seconds."], "answer": "A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_298/cam1.mp4", "dataset/kubric_data/scene_298/cam0.mp4", "dataset/kubric_data/scene_298/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.7, 3.7], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at -0.9 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_299/cam2.mp4", "dataset/kubric_data/scene_299/cam0.mp4", "dataset/kubric_data/scene_299/cam1.mp4"], "video_ranges": [[1.6, 4.6], [0.7, 3.7], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +2.0 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.8 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +1.3 seconds."], "answer": "C) Video 2 starts at +1.3 seconds; Video 3 starts at +1.8 seconds.", "videos": ["dataset/kubric_data/scene_300/cam0.mp4", "dataset/kubric_data/scene_300/cam1.mp4", "dataset/kubric_data/scene_300/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.6, 4.6], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -1.8 seconds.", "B) Video 2 starts at -1.5 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +1.5 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_301/cam2.mp4", "dataset/kubric_data/scene_301/cam1.mp4", "dataset/kubric_data/scene_301/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.2, 4.2], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at +1.6 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_302/cam2.mp4", "dataset/kubric_data/scene_302/cam0.mp4", "dataset/kubric_data/scene_302/cam1.mp4"], "video_ranges": [[0.3, 3.3], [0.2, 3.2], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -1.4 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_303/cam0.mp4", "dataset/kubric_data/scene_303/cam2.mp4", "dataset/kubric_data/scene_303/cam1.mp4"], "video_ranges": [[1.8, 4.8], [0.3, 3.3], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_304/cam0.mp4", "dataset/kubric_data/scene_304/cam1.mp4", "dataset/kubric_data/scene_304/cam2.mp4"], "video_ranges": [[1.8, 4.8], [1.6, 4.6], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_305/cam1.mp4", "dataset/kubric_data/scene_305/cam2.mp4", "dataset/kubric_data/scene_305/cam0.mp4"], "video_ranges": [[1.5, 4.5], [1.3, 4.3], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_306/cam1.mp4", "dataset/kubric_data/scene_306/cam0.mp4", "dataset/kubric_data/scene_306/cam2.mp4"], "video_ranges": [[1.1, 4.1], [0.2, 3.2], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.7 seconds."], "answer": "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_307/cam2.mp4", "dataset/kubric_data/scene_307/cam0.mp4", "dataset/kubric_data/scene_307/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.4, 4.4], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.9 seconds."], "answer": "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_308/cam2.mp4", "dataset/kubric_data/scene_308/cam1.mp4", "dataset/kubric_data/scene_308/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.1, 3.1], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds."], "answer": "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_309/cam0.mp4", "dataset/kubric_data/scene_309/cam2.mp4", "dataset/kubric_data/scene_309/cam1.mp4"], "video_ranges": [[1.3, 4.3], [1.0, 4.0], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.0 seconds."], "answer": "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_310/cam0.mp4", "dataset/kubric_data/scene_310/cam2.mp4", "dataset/kubric_data/scene_310/cam1.mp4"], "video_ranges": [[1.7, 4.7], [0.7, 3.7], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -1.2 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_311/cam2.mp4", "dataset/kubric_data/scene_311/cam0.mp4", "dataset/kubric_data/scene_311/cam1.mp4"], "video_ranges": [[1.4, 4.4], [0.2, 3.2], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_312/cam0.mp4", "dataset/kubric_data/scene_312/cam2.mp4", "dataset/kubric_data/scene_312/cam1.mp4"], "video_ranges": [[0.5, 3.5], [0.2, 3.2], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -1.4 seconds."], "answer": "A) Video 2 starts at -1.4 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_313/cam1.mp4", "dataset/kubric_data/scene_313/cam0.mp4", "dataset/kubric_data/scene_313/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.2, 3.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_314/cam0.mp4", "dataset/kubric_data/scene_314/cam1.mp4", "dataset/kubric_data/scene_314/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_315/cam1.mp4", "dataset/kubric_data/scene_315/cam0.mp4", "dataset/kubric_data/scene_315/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.2, 3.2], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_316/cam0.mp4", "dataset/kubric_data/scene_316/cam1.mp4", "dataset/kubric_data/scene_316/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.5, 3.5], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_317/cam2.mp4", "dataset/kubric_data/scene_317/cam1.mp4", "dataset/kubric_data/scene_317/cam0.mp4"], "video_ranges": [[0.3, 3.3], [0.7, 3.7], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at -0.1 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_318/cam1.mp4", "dataset/kubric_data/scene_318/cam0.mp4", "dataset/kubric_data/scene_318/cam2.mp4"], "video_ranges": [[1.0, 4.0], [1.2, 4.2], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_319/cam2.mp4", "dataset/kubric_data/scene_319/cam1.mp4", "dataset/kubric_data/scene_319/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.4, 3.4], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.7 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +1.4 seconds."], "answer": "D) Video 2 starts at +1.0 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_320/cam0.mp4", "dataset/kubric_data/scene_320/cam2.mp4", "dataset/kubric_data/scene_320/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.6, 4.6], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -1.2 seconds."], "answer": "D) Video 2 starts at -1.0 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_321/cam1.mp4", "dataset/kubric_data/scene_321/cam2.mp4", "dataset/kubric_data/scene_321/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.8, 3.8], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +1.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_322/cam0.mp4", "dataset/kubric_data/scene_322/cam1.mp4", "dataset/kubric_data/scene_322/cam2.mp4"], "video_ranges": [[1.9, 4.9], [2.0, 5.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_323/cam2.mp4", "dataset/kubric_data/scene_323/cam0.mp4", "dataset/kubric_data/scene_323/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.5, 4.5], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.2 seconds."], "answer": "B) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_324/cam0.mp4", "dataset/kubric_data/scene_324/cam1.mp4", "dataset/kubric_data/scene_324/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.9, 3.9], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.0 seconds."], "answer": "B) Video 2 starts at +0.9 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_325/cam0.mp4", "dataset/kubric_data/scene_325/cam1.mp4", "dataset/kubric_data/scene_325/cam2.mp4"], "video_ranges": [[0.3, 3.3], [1.2, 4.2], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.4 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_326/cam0.mp4", "dataset/kubric_data/scene_326/cam2.mp4", "dataset/kubric_data/scene_326/cam1.mp4"], "video_ranges": [[0.5, 3.5], [1.3, 4.3], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at +0.7 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_327/cam1.mp4", "dataset/kubric_data/scene_327/cam2.mp4", "dataset/kubric_data/scene_327/cam0.mp4"], "video_ranges": [[0.7, 3.7], [1.3, 4.3], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_328/cam1.mp4", "dataset/kubric_data/scene_328/cam2.mp4", "dataset/kubric_data/scene_328/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.5, 3.5], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_329/cam1.mp4", "dataset/kubric_data/scene_329/cam2.mp4", "dataset/kubric_data/scene_329/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_330/cam1.mp4", "dataset/kubric_data/scene_330/cam2.mp4", "dataset/kubric_data/scene_330/cam0.mp4"], "video_ranges": [[0.3, 3.3], [1.6, 4.6], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_331/cam2.mp4", "dataset/kubric_data/scene_331/cam0.mp4", "dataset/kubric_data/scene_331/cam1.mp4"], "video_ranges": [[0.7, 3.7], [2.0, 5.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.0 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_332/cam2.mp4", "dataset/kubric_data/scene_332/cam0.mp4", "dataset/kubric_data/scene_332/cam1.mp4"], "video_ranges": [[1.0, 4.0], [1.2, 4.2], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.7 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.3 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_333/cam2.mp4", "dataset/kubric_data/scene_333/cam1.mp4", "dataset/kubric_data/scene_333/cam0.mp4"], "video_ranges": [[0.0, 3.0], [0.1, 3.1], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_334/cam1.mp4", "dataset/kubric_data/scene_334/cam0.mp4", "dataset/kubric_data/scene_334/cam2.mp4"], "video_ranges": [[1.3, 4.3], [0.2, 3.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -1.1 seconds."], "answer": "A) Video 2 starts at -1.1 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_335/cam0.mp4", "dataset/kubric_data/scene_335/cam2.mp4", "dataset/kubric_data/scene_335/cam1.mp4"], "video_ranges": [[1.3, 4.3], [0.2, 3.2], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.7 seconds."], "answer": "A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_336/cam0.mp4", "dataset/kubric_data/scene_336/cam2.mp4", "dataset/kubric_data/scene_336/cam1.mp4"], "video_ranges": [[2.0, 5.0], [0.9, 3.9], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.6 seconds."], "answer": "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_337/cam2.mp4", "dataset/kubric_data/scene_337/cam0.mp4", "dataset/kubric_data/scene_337/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.3, 4.3], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_338/cam2.mp4", "dataset/kubric_data/scene_338/cam0.mp4", "dataset/kubric_data/scene_338/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.9 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_339/cam2.mp4", "dataset/kubric_data/scene_339/cam1.mp4", "dataset/kubric_data/scene_339/cam0.mp4"], "video_ranges": [[1.1, 4.1], [0.2, 3.2], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -1.7 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +1.3 seconds."], "answer": "B) Video 2 starts at -1.0 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_340/cam1.mp4", "dataset/kubric_data/scene_340/cam0.mp4", "dataset/kubric_data/scene_340/cam2.mp4"], "video_ranges": [[1.9, 4.9], [0.9, 3.9], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +1.7 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -2.0 seconds."], "answer": "B) Video 2 starts at -0.5 seconds; Video 3 starts at -1.7 seconds.", "videos": ["dataset/kubric_data/scene_341/cam2.mp4", "dataset/kubric_data/scene_341/cam0.mp4", "dataset/kubric_data/scene_341/cam1.mp4"], "video_ranges": [[1.9, 4.9], [1.4, 4.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_342/cam1.mp4", "dataset/kubric_data/scene_342/cam2.mp4", "dataset/kubric_data/scene_342/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.1, 4.1], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.5 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -1.9 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -1.5 seconds."], "answer": "D) Video 2 starts at -1.0 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_343/cam1.mp4", "dataset/kubric_data/scene_343/cam0.mp4", "dataset/kubric_data/scene_343/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.8, 3.8], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +1.4 seconds."], "answer": "D) Video 2 starts at +1.7 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_344/cam1.mp4", "dataset/kubric_data/scene_344/cam0.mp4", "dataset/kubric_data/scene_344/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.8, 4.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.3 seconds."], "answer": "A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_345/cam0.mp4", "dataset/kubric_data/scene_345/cam2.mp4", "dataset/kubric_data/scene_345/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.8, 4.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.8 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.8 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.8 seconds.", "videos": ["dataset/kubric_data/scene_346/cam1.mp4", "dataset/kubric_data/scene_346/cam0.mp4", "dataset/kubric_data/scene_346/cam2.mp4"], "video_ranges": [[0.1, 3.1], [0.3, 3.3], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_347/cam0.mp4", "dataset/kubric_data/scene_347/cam1.mp4", "dataset/kubric_data/scene_347/cam2.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.3 seconds."], "answer": "A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_348/cam1.mp4", "dataset/kubric_data/scene_348/cam0.mp4", "dataset/kubric_data/scene_348/cam2.mp4"], "video_ranges": [[0.3, 3.3], [0.7, 3.7], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.5 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_349/cam2.mp4", "dataset/kubric_data/scene_349/cam1.mp4", "dataset/kubric_data/scene_349/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.9, 3.9], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -1.3 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_350/cam2.mp4", "dataset/kubric_data/scene_350/cam1.mp4", "dataset/kubric_data/scene_350/cam0.mp4"], "video_ranges": [[0.6, 3.6], [0.9, 3.9], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -0.3 seconds."], "answer": "A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_351/cam0.mp4", "dataset/kubric_data/scene_351/cam1.mp4", "dataset/kubric_data/scene_351/cam2.mp4"], "video_ranges": [[0.0, 3.0], [1.3, 4.3], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_352/cam0.mp4", "dataset/kubric_data/scene_352/cam1.mp4", "dataset/kubric_data/scene_352/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -0.1 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_353/cam2.mp4", "dataset/kubric_data/scene_353/cam0.mp4", "dataset/kubric_data/scene_353/cam1.mp4"], "video_ranges": [[1.6, 4.6], [0.8, 3.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_354/cam1.mp4", "dataset/kubric_data/scene_354/cam0.mp4", "dataset/kubric_data/scene_354/cam2.mp4"], "video_ranges": [[0.5, 3.5], [1.5, 4.5], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at -1.2 seconds."], "answer": "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_355/cam2.mp4", "dataset/kubric_data/scene_355/cam0.mp4", "dataset/kubric_data/scene_355/cam1.mp4"], "video_ranges": [[1.4, 4.4], [0.2, 3.2], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_356/cam2.mp4", "dataset/kubric_data/scene_356/cam0.mp4", "dataset/kubric_data/scene_356/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.9, 3.9], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.5 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_357/cam0.mp4", "dataset/kubric_data/scene_357/cam1.mp4", "dataset/kubric_data/scene_357/cam2.mp4"], "video_ranges": [[1.1, 4.1], [1.8, 4.8], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.6 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_358/cam0.mp4", "dataset/kubric_data/scene_358/cam1.mp4", "dataset/kubric_data/scene_358/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_359/cam1.mp4", "dataset/kubric_data/scene_359/cam0.mp4", "dataset/kubric_data/scene_359/cam2.mp4"], "video_ranges": [[1.9, 4.9], [2.0, 5.0], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_360/cam1.mp4", "dataset/kubric_data/scene_360/cam0.mp4", "dataset/kubric_data/scene_360/cam2.mp4"], "video_ranges": [[1.3, 4.3], [0.9, 3.9], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_361/cam0.mp4", "dataset/kubric_data/scene_361/cam2.mp4", "dataset/kubric_data/scene_361/cam1.mp4"], "video_ranges": [[1.6, 4.6], [0.9, 3.9], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.1 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_362/cam1.mp4", "dataset/kubric_data/scene_362/cam2.mp4", "dataset/kubric_data/scene_362/cam0.mp4"], "video_ranges": [[1.0, 4.0], [0.2, 3.2], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.5 seconds."], "answer": "A) Video 2 starts at -1.1 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_363/cam0.mp4", "dataset/kubric_data/scene_363/cam2.mp4", "dataset/kubric_data/scene_363/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.4, 3.4], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +1.5 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -1.5 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at +1.5 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_364/cam0.mp4", "dataset/kubric_data/scene_364/cam2.mp4", "dataset/kubric_data/scene_364/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.9, 4.9], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.1 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_365/cam2.mp4", "dataset/kubric_data/scene_365/cam0.mp4", "dataset/kubric_data/scene_365/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.4, 4.4], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_366/cam1.mp4", "dataset/kubric_data/scene_366/cam0.mp4", "dataset/kubric_data/scene_366/cam2.mp4"], "video_ranges": [[0.8, 3.8], [2.0, 5.0], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_367/cam1.mp4", "dataset/kubric_data/scene_367/cam0.mp4", "dataset/kubric_data/scene_367/cam2.mp4"], "video_ranges": [[2.0, 5.0], [0.8, 3.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.1 seconds."], "answer": "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_368/cam0.mp4", "dataset/kubric_data/scene_368/cam1.mp4", "dataset/kubric_data/scene_368/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.2, 4.2], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_369/cam2.mp4", "dataset/kubric_data/scene_369/cam1.mp4", "dataset/kubric_data/scene_369/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.2, 3.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_370/cam0.mp4", "dataset/kubric_data/scene_370/cam2.mp4", "dataset/kubric_data/scene_370/cam1.mp4"], "video_ranges": [[0.7, 3.7], [0.4, 3.4], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.0 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_371/cam0.mp4", "dataset/kubric_data/scene_371/cam2.mp4", "dataset/kubric_data/scene_371/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.8, 3.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_372/cam1.mp4", "dataset/kubric_data/scene_372/cam0.mp4", "dataset/kubric_data/scene_372/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.8, 4.8], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_373/cam1.mp4", "dataset/kubric_data/scene_373/cam2.mp4", "dataset/kubric_data/scene_373/cam0.mp4"], "video_ranges": [[0.1, 3.1], [0.2, 3.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at +1.0 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_374/cam1.mp4", "dataset/kubric_data/scene_374/cam0.mp4", "dataset/kubric_data/scene_374/cam2.mp4"], "video_ranges": [[0.1, 3.1], [0.2, 3.2], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.7 seconds."], "answer": "A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_375/cam0.mp4", "dataset/kubric_data/scene_375/cam2.mp4", "dataset/kubric_data/scene_375/cam1.mp4"], "video_ranges": [[1.7, 4.7], [0.5, 3.5], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds."], "answer": "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_376/cam2.mp4", "dataset/kubric_data/scene_376/cam1.mp4", "dataset/kubric_data/scene_376/cam0.mp4"], "video_ranges": [[1.7, 4.7], [1.1, 4.1], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds."], "answer": "B) Video 2 starts at +0.5 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_377/cam0.mp4", "dataset/kubric_data/scene_377/cam2.mp4", "dataset/kubric_data/scene_377/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.1, 4.1], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.0 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.5 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_378/cam0.mp4", "dataset/kubric_data/scene_378/cam1.mp4", "dataset/kubric_data/scene_378/cam2.mp4"], "video_ranges": [[2.0, 5.0], [1.9, 4.9], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -1.0 seconds."], "answer": "A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_379/cam1.mp4", "dataset/kubric_data/scene_379/cam0.mp4", "dataset/kubric_data/scene_379/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.1, 3.1], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at +1.9 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at -1.9 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at +2.0 seconds; Video 3 starts at +1.9 seconds."], "answer": "B) Video 2 starts at +1.9 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_380/cam1.mp4", "dataset/kubric_data/scene_380/cam0.mp4", "dataset/kubric_data/scene_380/cam2.mp4"], "video_ranges": [[0.1, 3.1], [2.0, 5.0], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at -0.6 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_381/cam1.mp4", "dataset/kubric_data/scene_381/cam0.mp4", "dataset/kubric_data/scene_381/cam2.mp4"], "video_ranges": [[1.7, 4.7], [1.1, 4.1], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.3 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_382/cam1.mp4", "dataset/kubric_data/scene_382/cam2.mp4", "dataset/kubric_data/scene_382/cam0.mp4"], "video_ranges": [[1.9, 4.9], [1.6, 4.6], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_383/cam1.mp4", "dataset/kubric_data/scene_383/cam2.mp4", "dataset/kubric_data/scene_383/cam0.mp4"], "video_ranges": [[1.7, 4.7], [1.8, 4.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.9 seconds."], "answer": "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_384/cam2.mp4", "dataset/kubric_data/scene_384/cam0.mp4", "dataset/kubric_data/scene_384/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.5, 4.5], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_385/cam2.mp4", "dataset/kubric_data/scene_385/cam1.mp4", "dataset/kubric_data/scene_385/cam0.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.6 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_386/cam2.mp4", "dataset/kubric_data/scene_386/cam1.mp4", "dataset/kubric_data/scene_386/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.9, 4.9], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_387/cam2.mp4", "dataset/kubric_data/scene_387/cam1.mp4", "dataset/kubric_data/scene_387/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.1, 4.1], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.9 seconds."], "answer": "B) Video 2 starts at -0.5 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_388/cam0.mp4", "dataset/kubric_data/scene_388/cam2.mp4", "dataset/kubric_data/scene_388/cam1.mp4"], "video_ranges": [[1.6, 4.6], [1.1, 4.1], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_389/cam0.mp4", "dataset/kubric_data/scene_389/cam2.mp4", "dataset/kubric_data/scene_389/cam1.mp4"], "video_ranges": [[1.9, 4.9], [1.1, 4.1], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -2.0 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -1.6 seconds."], "answer": "D) Video 2 starts at -1.2 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_390/cam2.mp4", "dataset/kubric_data/scene_390/cam1.mp4", "dataset/kubric_data/scene_390/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.6, 3.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at -1.8 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -1.6 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_391/cam2.mp4", "dataset/kubric_data/scene_391/cam1.mp4", "dataset/kubric_data/scene_391/cam0.mp4"], "video_ranges": [[1.7, 4.7], [0.1, 3.1], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.3 seconds."], "answer": "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_392/cam0.mp4", "dataset/kubric_data/scene_392/cam1.mp4", "dataset/kubric_data/scene_392/cam2.mp4"], "video_ranges": [[1.8, 4.8], [1.3, 4.3], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.6 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at -0.3 seconds."], "answer": "B) Video 2 starts at -1.4 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_393/cam1.mp4", "dataset/kubric_data/scene_393/cam2.mp4", "dataset/kubric_data/scene_393/cam0.mp4"], "video_ranges": [[1.6, 4.6], [0.2, 3.2], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_394/cam2.mp4", "dataset/kubric_data/scene_394/cam0.mp4", "dataset/kubric_data/scene_394/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.5, 3.5], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.4 seconds."], "answer": "A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_395/cam2.mp4", "dataset/kubric_data/scene_395/cam0.mp4", "dataset/kubric_data/scene_395/cam1.mp4"], "video_ranges": [[1.7, 4.7], [1.2, 4.2], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.8 seconds.", "B) Video 2 starts at -1.8 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -1.9 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +0.7 seconds."], "answer": "B) Video 2 starts at -1.8 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_396/cam2.mp4", "dataset/kubric_data/scene_396/cam0.mp4", "dataset/kubric_data/scene_396/cam1.mp4"], "video_ranges": [[1.8, 4.8], [0.1, 3.1], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at -0.8 seconds."], "answer": "D) Video 2 starts at -1.4 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_397/cam1.mp4", "dataset/kubric_data/scene_397/cam0.mp4", "dataset/kubric_data/scene_397/cam2.mp4"], "video_ranges": [[1.5, 4.5], [0.1, 3.1], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.9 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_398/cam2.mp4", "dataset/kubric_data/scene_398/cam0.mp4", "dataset/kubric_data/scene_398/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.8, 4.8], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.8 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.8 seconds.", "D) Video 2 starts at -1.9 seconds; Video 3 starts at -1.6 seconds."], "answer": "A) Video 2 starts at -1.8 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_399/cam2.mp4", "dataset/kubric_data/scene_399/cam0.mp4", "dataset/kubric_data/scene_399/cam1.mp4"], "video_ranges": [[1.9, 4.9], [0.1, 3.1], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +1.7 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -1.3 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_400/cam1.mp4", "dataset/kubric_data/scene_400/cam0.mp4", "dataset/kubric_data/scene_400/cam2.mp4"], "video_ranges": [[0.4, 3.4], [0.1, 3.1], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.8 seconds."], "answer": "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_401/cam0.mp4", "dataset/kubric_data/scene_401/cam1.mp4", "dataset/kubric_data/scene_401/cam2.mp4"], "video_ranges": [[0.1, 3.1], [0.8, 3.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_402/cam2.mp4", "dataset/kubric_data/scene_402/cam1.mp4", "dataset/kubric_data/scene_402/cam0.mp4"], "video_ranges": [[1.9, 4.9], [1.6, 4.6], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_403/cam0.mp4", "dataset/kubric_data/scene_403/cam1.mp4", "dataset/kubric_data/scene_403/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.7, 3.7], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_404/cam0.mp4", "dataset/kubric_data/scene_404/cam2.mp4", "dataset/kubric_data/scene_404/cam1.mp4"], "video_ranges": [[2.0, 5.0], [1.8, 4.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_405/cam0.mp4", "dataset/kubric_data/scene_405/cam2.mp4", "dataset/kubric_data/scene_405/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.4, 4.4], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +1.6 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_406/cam2.mp4", "dataset/kubric_data/scene_406/cam1.mp4", "dataset/kubric_data/scene_406/cam0.mp4"], "video_ranges": [[0.4, 3.4], [0.2, 3.2], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.5 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_407/cam1.mp4", "dataset/kubric_data/scene_407/cam2.mp4", "dataset/kubric_data/scene_407/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.4, 4.4], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.4 seconds."], "answer": "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_408/cam1.mp4", "dataset/kubric_data/scene_408/cam0.mp4", "dataset/kubric_data/scene_408/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.4, 3.4], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.2 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_409/cam0.mp4", "dataset/kubric_data/scene_409/cam2.mp4", "dataset/kubric_data/scene_409/cam1.mp4"], "video_ranges": [[0.7, 3.7], [0.9, 3.9], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -1.0 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_410/cam1.mp4", "dataset/kubric_data/scene_410/cam2.mp4", "dataset/kubric_data/scene_410/cam0.mp4"], "video_ranges": [[1.3, 4.3], [1.5, 4.5], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -2.0 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +2.4 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +2.0 seconds.", "D) Video 2 starts at +2.0 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at +0.7 seconds; Video 3 starts at +2.0 seconds.", "videos": ["dataset/kubric_data/scene_411/cam1.mp4", "dataset/kubric_data/scene_411/cam0.mp4", "dataset/kubric_data/scene_411/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.7, 3.7], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_412/cam2.mp4", "dataset/kubric_data/scene_412/cam1.mp4", "dataset/kubric_data/scene_412/cam0.mp4"], "video_ranges": [[0.7, 3.7], [0.2, 3.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.7 seconds."], "answer": "A) Video 2 starts at +0.7 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_413/cam2.mp4", "dataset/kubric_data/scene_413/cam1.mp4", "dataset/kubric_data/scene_413/cam0.mp4"], "video_ranges": [[0.6, 3.6], [1.2, 4.2], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.0 seconds."], "answer": "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_414/cam1.mp4", "dataset/kubric_data/scene_414/cam0.mp4", "dataset/kubric_data/scene_414/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.8, 3.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.9 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_415/cam0.mp4", "dataset/kubric_data/scene_415/cam1.mp4", "dataset/kubric_data/scene_415/cam2.mp4"], "video_ranges": [[1.3, 4.3], [0.4, 3.4], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.0 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_416/cam2.mp4", "dataset/kubric_data/scene_416/cam0.mp4", "dataset/kubric_data/scene_416/cam1.mp4"], "video_ranges": [[0.7, 3.7], [0.9, 3.9], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds."], "answer": "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_417/cam1.mp4", "dataset/kubric_data/scene_417/cam2.mp4", "dataset/kubric_data/scene_417/cam0.mp4"], "video_ranges": [[0.3, 3.3], [0.4, 3.4], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at -1.2 seconds."], "answer": "A) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_418/cam1.mp4", "dataset/kubric_data/scene_418/cam2.mp4", "dataset/kubric_data/scene_418/cam0.mp4"], "video_ranges": [[0.3, 3.3], [1.8, 4.8], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.9 seconds."], "answer": "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_419/cam0.mp4", "dataset/kubric_data/scene_419/cam1.mp4", "dataset/kubric_data/scene_419/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.5, 4.5], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_420/cam1.mp4", "dataset/kubric_data/scene_420/cam0.mp4", "dataset/kubric_data/scene_420/cam2.mp4"], "video_ranges": [[0.7, 3.7], [1.4, 4.4], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_421/cam0.mp4", "dataset/kubric_data/scene_421/cam2.mp4", "dataset/kubric_data/scene_421/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_422/cam1.mp4", "dataset/kubric_data/scene_422/cam0.mp4", "dataset/kubric_data/scene_422/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.5 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_423/cam2.mp4", "dataset/kubric_data/scene_423/cam0.mp4", "dataset/kubric_data/scene_423/cam1.mp4"], "video_ranges": [[1.2, 4.2], [1.6, 4.6], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -0.0 seconds."], "answer": "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_424/cam2.mp4", "dataset/kubric_data/scene_424/cam0.mp4", "dataset/kubric_data/scene_424/cam1.mp4"], "video_ranges": [[1.7, 4.7], [0.9, 3.9], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +1.9 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.5 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_425/cam2.mp4", "dataset/kubric_data/scene_425/cam1.mp4", "dataset/kubric_data/scene_425/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.4, 3.4], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -1.6 seconds."], "answer": "B) Video 2 starts at -1.6 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_426/cam1.mp4", "dataset/kubric_data/scene_426/cam2.mp4", "dataset/kubric_data/scene_426/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.2, 3.2], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -1.2 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_427/cam2.mp4", "dataset/kubric_data/scene_427/cam0.mp4", "dataset/kubric_data/scene_427/cam1.mp4"], "video_ranges": [[0.8, 3.8], [0.4, 3.4], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.0 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.7 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_428/cam2.mp4", "dataset/kubric_data/scene_428/cam1.mp4", "dataset/kubric_data/scene_428/cam0.mp4"], "video_ranges": [[1.2, 4.2], [1.0, 4.0], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds."], "answer": "A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_429/cam2.mp4", "dataset/kubric_data/scene_429/cam1.mp4", "dataset/kubric_data/scene_429/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.2, 3.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +1.7 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +1.3 seconds."], "answer": "A) Video 2 starts at +1.3 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_430/cam0.mp4", "dataset/kubric_data/scene_430/cam1.mp4", "dataset/kubric_data/scene_430/cam2.mp4"], "video_ranges": [[0.3, 3.3], [1.7, 4.7], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -0.7 seconds."], "answer": "D) Video 2 starts at -1.1 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_431/cam2.mp4", "dataset/kubric_data/scene_431/cam0.mp4", "dataset/kubric_data/scene_431/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.4, 3.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_432/cam1.mp4", "dataset/kubric_data/scene_432/cam0.mp4", "dataset/kubric_data/scene_432/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.2, 4.2], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.3 seconds."], "answer": "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_433/cam1.mp4", "dataset/kubric_data/scene_433/cam2.mp4", "dataset/kubric_data/scene_433/cam0.mp4"], "video_ranges": [[0.6, 3.6], [1.9, 4.9], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.3 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_434/cam0.mp4", "dataset/kubric_data/scene_434/cam2.mp4", "dataset/kubric_data/scene_434/cam1.mp4"], "video_ranges": [[1.0, 4.0], [0.5, 3.5], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_435/cam0.mp4", "dataset/kubric_data/scene_435/cam1.mp4", "dataset/kubric_data/scene_435/cam2.mp4"], "video_ranges": [[0.9, 3.9], [0.3, 3.3], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_436/cam2.mp4", "dataset/kubric_data/scene_436/cam0.mp4", "dataset/kubric_data/scene_436/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.7, 4.7], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_437/cam0.mp4", "dataset/kubric_data/scene_437/cam1.mp4", "dataset/kubric_data/scene_437/cam2.mp4"], "video_ranges": [[1.2, 4.2], [2.0, 5.0], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +1.6 seconds; Video 3 starts at +0.5 seconds."], "answer": "C) Video 2 starts at +1.7 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_438/cam1.mp4", "dataset/kubric_data/scene_438/cam0.mp4", "dataset/kubric_data/scene_438/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.9, 4.9], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_439/cam2.mp4", "dataset/kubric_data/scene_439/cam0.mp4", "dataset/kubric_data/scene_439/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.8, 4.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +1.7 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at +1.7 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_440/cam1.mp4", "dataset/kubric_data/scene_440/cam0.mp4", "dataset/kubric_data/scene_440/cam2.mp4"], "video_ranges": [[0.0, 3.0], [1.7, 4.7], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_441/cam0.mp4", "dataset/kubric_data/scene_441/cam2.mp4", "dataset/kubric_data/scene_441/cam1.mp4"], "video_ranges": [[2.0, 5.0], [0.8, 3.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_442/cam0.mp4", "dataset/kubric_data/scene_442/cam2.mp4", "dataset/kubric_data/scene_442/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.0, 4.0], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.1 seconds."], "answer": "A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_443/cam0.mp4", "dataset/kubric_data/scene_443/cam1.mp4", "dataset/kubric_data/scene_443/cam2.mp4"], "video_ranges": [[1.1, 4.1], [0.6, 3.6], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_444/cam2.mp4", "dataset/kubric_data/scene_444/cam0.mp4", "dataset/kubric_data/scene_444/cam1.mp4"], "video_ranges": [[0.1, 3.1], [0.2, 3.2], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_445/cam2.mp4", "dataset/kubric_data/scene_445/cam1.mp4", "dataset/kubric_data/scene_445/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.0, 4.0], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -2.0 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at -1.7 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.7 seconds."], "answer": "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.7 seconds.", "videos": ["dataset/kubric_data/scene_446/cam2.mp4", "dataset/kubric_data/scene_446/cam1.mp4", "dataset/kubric_data/scene_446/cam0.mp4"], "video_ranges": [[1.9, 4.9], [0.8, 3.8], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds."], "answer": "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_447/cam2.mp4", "dataset/kubric_data/scene_447/cam0.mp4", "dataset/kubric_data/scene_447/cam1.mp4"], "video_ranges": [[1.3, 4.3], [0.9, 3.9], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_448/cam0.mp4", "dataset/kubric_data/scene_448/cam1.mp4", "dataset/kubric_data/scene_448/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.4, 3.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +2.3 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.9 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +1.9 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at +1.9 seconds.", "videos": ["dataset/kubric_data/scene_449/cam1.mp4", "dataset/kubric_data/scene_449/cam0.mp4", "dataset/kubric_data/scene_449/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.3, 3.3], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_450/cam0.mp4", "dataset/kubric_data/scene_450/cam1.mp4", "dataset/kubric_data/scene_450/cam2.mp4"], "video_ranges": [[0.4, 3.4], [0.5, 3.5], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.9 seconds.", "B) Video 2 starts at -1.5 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -1.5 seconds."], "answer": "D) Video 2 starts at +0.1 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_451/cam0.mp4", "dataset/kubric_data/scene_451/cam2.mp4", "dataset/kubric_data/scene_451/cam1.mp4"], "video_ranges": [[1.9, 4.9], [2.0, 5.0], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at +1.8 seconds.", "B) Video 2 starts at -1.7 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.7 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +1.4 seconds."], "answer": "D) Video 2 starts at +1.7 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_452/cam2.mp4", "dataset/kubric_data/scene_452/cam1.mp4", "dataset/kubric_data/scene_452/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.8, 4.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.0 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.3 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_453/cam0.mp4", "dataset/kubric_data/scene_453/cam1.mp4", "dataset/kubric_data/scene_453/cam2.mp4"], "video_ranges": [[0.7, 3.7], [0.9, 3.9], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_454/cam0.mp4", "dataset/kubric_data/scene_454/cam2.mp4", "dataset/kubric_data/scene_454/cam1.mp4"], "video_ranges": [[1.1, 4.1], [1.9, 4.9], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.7 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at +1.6 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_455/cam1.mp4", "dataset/kubric_data/scene_455/cam0.mp4", "dataset/kubric_data/scene_455/cam2.mp4"], "video_ranges": [[0.3, 3.3], [1.9, 4.9], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.0 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -1.3 seconds."], "answer": "D) Video 2 starts at +0.1 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_456/cam1.mp4", "dataset/kubric_data/scene_456/cam0.mp4", "dataset/kubric_data/scene_456/cam2.mp4"], "video_ranges": [[1.7, 4.7], [1.8, 4.8], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_457/cam1.mp4", "dataset/kubric_data/scene_457/cam0.mp4", "dataset/kubric_data/scene_457/cam2.mp4"], "video_ranges": [[1.4, 4.4], [1.8, 4.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.7 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_458/cam2.mp4", "dataset/kubric_data/scene_458/cam0.mp4", "dataset/kubric_data/scene_458/cam1.mp4"], "video_ranges": [[1.3, 4.3], [1.7, 4.7], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.5 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_459/cam1.mp4", "dataset/kubric_data/scene_459/cam2.mp4", "dataset/kubric_data/scene_459/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.9, 4.9], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_460/cam1.mp4", "dataset/kubric_data/scene_460/cam0.mp4", "dataset/kubric_data/scene_460/cam2.mp4"], "video_ranges": [[0.5, 3.5], [1.2, 4.2], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_461/cam2.mp4", "dataset/kubric_data/scene_461/cam1.mp4", "dataset/kubric_data/scene_461/cam0.mp4"], "video_ranges": [[0.9, 3.9], [0.7, 3.7], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +1.3 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_462/cam2.mp4", "dataset/kubric_data/scene_462/cam0.mp4", "dataset/kubric_data/scene_462/cam1.mp4"], "video_ranges": [[1.3, 4.3], [1.6, 4.6], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.4 seconds."], "answer": "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_463/cam0.mp4", "dataset/kubric_data/scene_463/cam1.mp4", "dataset/kubric_data/scene_463/cam2.mp4"], "video_ranges": [[0.7, 3.7], [1.3, 4.3], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_464/cam0.mp4", "dataset/kubric_data/scene_464/cam1.mp4", "dataset/kubric_data/scene_464/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.3, 3.3], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.5 seconds."], "answer": "A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_465/cam2.mp4", "dataset/kubric_data/scene_465/cam1.mp4", "dataset/kubric_data/scene_465/cam0.mp4"], "video_ranges": [[1.5, 4.5], [0.2, 3.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_466/cam1.mp4", "dataset/kubric_data/scene_466/cam0.mp4", "dataset/kubric_data/scene_466/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.6, 4.6], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_467/cam2.mp4", "dataset/kubric_data/scene_467/cam0.mp4", "dataset/kubric_data/scene_467/cam1.mp4"], "video_ranges": [[1.2, 4.2], [1.6, 4.6], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at -0.0 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.3 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_468/cam2.mp4", "dataset/kubric_data/scene_468/cam0.mp4", "dataset/kubric_data/scene_468/cam1.mp4"], "video_ranges": [[0.3, 3.3], [1.5, 4.5], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds."], "answer": "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_469/cam0.mp4", "dataset/kubric_data/scene_469/cam1.mp4", "dataset/kubric_data/scene_469/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.2, 4.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_470/cam1.mp4", "dataset/kubric_data/scene_470/cam0.mp4", "dataset/kubric_data/scene_470/cam2.mp4"], "video_ranges": [[1.0, 4.0], [0.2, 3.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_471/cam1.mp4", "dataset/kubric_data/scene_471/cam0.mp4", "dataset/kubric_data/scene_471/cam2.mp4"], "video_ranges": [[0.9, 3.9], [1.0, 4.0], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_472/cam2.mp4", "dataset/kubric_data/scene_472/cam1.mp4", "dataset/kubric_data/scene_472/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.5, 3.5], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at +0.4 seconds."], "answer": "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_473/cam2.mp4", "dataset/kubric_data/scene_473/cam0.mp4", "dataset/kubric_data/scene_473/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.9, 4.9], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_474/cam0.mp4", "dataset/kubric_data/scene_474/cam2.mp4", "dataset/kubric_data/scene_474/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.7, 4.7], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.4 seconds."], "answer": "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_475/cam1.mp4", "dataset/kubric_data/scene_475/cam2.mp4", "dataset/kubric_data/scene_475/cam0.mp4"], "video_ranges": [[0.6, 3.6], [2.0, 5.0], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.0 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -0.3 seconds."], "answer": "D) Video 2 starts at -0.9 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_476/cam2.mp4", "dataset/kubric_data/scene_476/cam1.mp4", "dataset/kubric_data/scene_476/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.2, 3.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_477/cam2.mp4", "dataset/kubric_data/scene_477/cam1.mp4", "dataset/kubric_data/scene_477/cam0.mp4"], "video_ranges": [[0.6, 3.6], [1.8, 4.8], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at +0.4 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_478/cam0.mp4", "dataset/kubric_data/scene_478/cam2.mp4", "dataset/kubric_data/scene_478/cam1.mp4"], "video_ranges": [[1.6, 4.6], [2.0, 5.0], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -0.3 seconds."], "answer": "B) Video 2 starts at +1.6 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_479/cam1.mp4", "dataset/kubric_data/scene_479/cam2.mp4", "dataset/kubric_data/scene_479/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.8, 4.8], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -1.7 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at +2.0 seconds."], "answer": "B) Video 2 starts at +1.4 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_480/cam1.mp4", "dataset/kubric_data/scene_480/cam2.mp4", "dataset/kubric_data/scene_480/cam0.mp4"], "video_ranges": [[0.0, 3.0], [1.4, 4.4], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.6 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_481/cam1.mp4", "dataset/kubric_data/scene_481/cam0.mp4", "dataset/kubric_data/scene_481/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.9 seconds.", "B) Video 2 starts at -1.5 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.5 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_482/cam0.mp4", "dataset/kubric_data/scene_482/cam1.mp4", "dataset/kubric_data/scene_482/cam2.mp4"], "video_ranges": [[2.0, 5.0], [1.2, 4.2], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.9 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_483/cam2.mp4", "dataset/kubric_data/scene_483/cam1.mp4", "dataset/kubric_data/scene_483/cam0.mp4"], "video_ranges": [[0.6, 3.6], [0.5, 3.5], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.4 seconds."], "answer": "A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_484/cam0.mp4", "dataset/kubric_data/scene_484/cam1.mp4", "dataset/kubric_data/scene_484/cam2.mp4"], "video_ranges": [[1.3, 4.3], [0.0, 3.0], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_485/cam0.mp4", "dataset/kubric_data/scene_485/cam2.mp4", "dataset/kubric_data/scene_485/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.1, 4.1], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_486/cam0.mp4", "dataset/kubric_data/scene_486/cam1.mp4", "dataset/kubric_data/scene_486/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.8, 3.8], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_487/cam2.mp4", "dataset/kubric_data/scene_487/cam0.mp4", "dataset/kubric_data/scene_487/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.1 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_488/cam1.mp4", "dataset/kubric_data/scene_488/cam2.mp4", "dataset/kubric_data/scene_488/cam0.mp4"], "video_ranges": [[0.9, 3.9], [0.6, 3.6], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_489/cam1.mp4", "dataset/kubric_data/scene_489/cam0.mp4", "dataset/kubric_data/scene_489/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.2, 4.2], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_490/cam2.mp4", "dataset/kubric_data/scene_490/cam0.mp4", "dataset/kubric_data/scene_490/cam1.mp4"], "video_ranges": [[1.6, 4.6], [1.2, 4.2], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.7 seconds."], "answer": "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_491/cam1.mp4", "dataset/kubric_data/scene_491/cam0.mp4", "dataset/kubric_data/scene_491/cam2.mp4"], "video_ranges": [[1.3, 4.3], [1.9, 4.9], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.5 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -1.6 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -1.0 seconds."], "answer": "D) Video 2 starts at -1.6 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_492/cam2.mp4", "dataset/kubric_data/scene_492/cam0.mp4", "dataset/kubric_data/scene_492/cam1.mp4"], "video_ranges": [[1.6, 4.6], [0.0, 3.0], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds."], "answer": "A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_493/cam2.mp4", "dataset/kubric_data/scene_493/cam1.mp4", "dataset/kubric_data/scene_493/cam0.mp4"], "video_ranges": [[0.5, 3.5], [1.0, 4.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.7 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_494/cam2.mp4", "dataset/kubric_data/scene_494/cam0.mp4", "dataset/kubric_data/scene_494/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.9, 3.9], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.9 seconds."], "answer": "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_495/cam0.mp4", "dataset/kubric_data/scene_495/cam2.mp4", "dataset/kubric_data/scene_495/cam1.mp4"], "video_ranges": [[1.3, 4.3], [1.9, 4.9], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds."], "answer": "A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_496/cam1.mp4", "dataset/kubric_data/scene_496/cam0.mp4", "dataset/kubric_data/scene_496/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.3, 4.3], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_497/cam0.mp4", "dataset/kubric_data/scene_497/cam2.mp4", "dataset/kubric_data/scene_497/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.2, 4.2], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_498/cam0.mp4", "dataset/kubric_data/scene_498/cam2.mp4", "dataset/kubric_data/scene_498/cam1.mp4"], "video_ranges": [[0.6, 3.6], [0.8, 3.8], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.6 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_499/cam0.mp4", "dataset/kubric_data/scene_499/cam2.mp4", "dataset/kubric_data/scene_499/cam1.mp4"], "video_ranges": [[1.9, 4.9], [0.4, 3.4], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at -0.0 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -1.3 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_500/cam0.mp4", "dataset/kubric_data/scene_500/cam1.mp4", "dataset/kubric_data/scene_500/cam2.mp4"], "video_ranges": [[0.6, 3.6], [0.3, 3.3], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_501/cam1.mp4", "dataset/kubric_data/scene_501/cam2.mp4", "dataset/kubric_data/scene_501/cam0.mp4"], "video_ranges": [[1.0, 4.0], [1.4, 4.4], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_502/cam1.mp4", "dataset/kubric_data/scene_502/cam0.mp4", "dataset/kubric_data/scene_502/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.8, 3.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds."], "answer": "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_503/cam0.mp4", "dataset/kubric_data/scene_503/cam1.mp4", "dataset/kubric_data/scene_503/cam2.mp4"], "video_ranges": [[1.3, 4.3], [1.8, 4.8], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_504/cam2.mp4", "dataset/kubric_data/scene_504/cam1.mp4", "dataset/kubric_data/scene_504/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.0, 4.0], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_505/cam1.mp4", "dataset/kubric_data/scene_505/cam2.mp4", "dataset/kubric_data/scene_505/cam0.mp4"], "video_ranges": [[1.6, 4.6], [0.4, 3.4], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_506/cam1.mp4", "dataset/kubric_data/scene_506/cam0.mp4", "dataset/kubric_data/scene_506/cam2.mp4"], "video_ranges": [[1.8, 4.8], [2.0, 5.0], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_507/cam2.mp4", "dataset/kubric_data/scene_507/cam1.mp4", "dataset/kubric_data/scene_507/cam0.mp4"], "video_ranges": [[0.7, 3.7], [1.8, 4.8], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +1.9 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.6 seconds.", "D) Video 2 starts at +1.6 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at +1.2 seconds; Video 3 starts at +1.6 seconds.", "videos": ["dataset/kubric_data/scene_508/cam2.mp4", "dataset/kubric_data/scene_508/cam1.mp4", "dataset/kubric_data/scene_508/cam0.mp4"], "video_ranges": [[0.0, 3.0], [1.2, 4.2], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at -0.1 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_509/cam2.mp4", "dataset/kubric_data/scene_509/cam1.mp4", "dataset/kubric_data/scene_509/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.2, 4.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.3 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_510/cam2.mp4", "dataset/kubric_data/scene_510/cam0.mp4", "dataset/kubric_data/scene_510/cam1.mp4"], "video_ranges": [[0.5, 3.5], [0.2, 3.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_511/cam1.mp4", "dataset/kubric_data/scene_511/cam2.mp4", "dataset/kubric_data/scene_511/cam0.mp4"], "video_ranges": [[1.9, 4.9], [1.0, 4.0], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -1.1 seconds."], "answer": "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_512/cam1.mp4", "dataset/kubric_data/scene_512/cam2.mp4", "dataset/kubric_data/scene_512/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.3, 3.3], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_513/cam2.mp4", "dataset/kubric_data/scene_513/cam0.mp4", "dataset/kubric_data/scene_513/cam1.mp4"], "video_ranges": [[0.3, 3.3], [0.7, 3.7], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_514/cam1.mp4", "dataset/kubric_data/scene_514/cam2.mp4", "dataset/kubric_data/scene_514/cam0.mp4"], "video_ranges": [[0.1, 3.1], [0.9, 3.9], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.7 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_515/cam0.mp4", "dataset/kubric_data/scene_515/cam1.mp4", "dataset/kubric_data/scene_515/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.8, 3.8], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_516/cam0.mp4", "dataset/kubric_data/scene_516/cam2.mp4", "dataset/kubric_data/scene_516/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.3, 4.3], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_517/cam1.mp4", "dataset/kubric_data/scene_517/cam0.mp4", "dataset/kubric_data/scene_517/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.4, 4.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_518/cam2.mp4", "dataset/kubric_data/scene_518/cam0.mp4", "dataset/kubric_data/scene_518/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.9, 4.9], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_519/cam1.mp4", "dataset/kubric_data/scene_519/cam0.mp4", "dataset/kubric_data/scene_519/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.5, 3.5], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_520/cam1.mp4", "dataset/kubric_data/scene_520/cam0.mp4", "dataset/kubric_data/scene_520/cam2.mp4"], "video_ranges": [[1.6, 4.6], [1.2, 4.2], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at +0.4 seconds."], "answer": "D) Video 2 starts at -0.9 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_521/cam2.mp4", "dataset/kubric_data/scene_521/cam0.mp4", "dataset/kubric_data/scene_521/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.2, 3.2], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_522/cam1.mp4", "dataset/kubric_data/scene_522/cam0.mp4", "dataset/kubric_data/scene_522/cam2.mp4"], "video_ranges": [[0.7, 3.7], [1.2, 4.2], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.7 seconds."], "answer": "A) Video 2 starts at -1.4 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_523/cam2.mp4", "dataset/kubric_data/scene_523/cam1.mp4", "dataset/kubric_data/scene_523/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.4, 3.4], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.7 seconds.", "B) Video 2 starts at -1.7 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at -0.1 seconds."], "answer": "C) Video 2 starts at +1.7 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_524/cam0.mp4", "dataset/kubric_data/scene_524/cam1.mp4", "dataset/kubric_data/scene_524/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.8, 4.8], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -0.0 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.0 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_525/cam1.mp4", "dataset/kubric_data/scene_525/cam0.mp4", "dataset/kubric_data/scene_525/cam2.mp4"], "video_ranges": [[1.4, 4.4], [1.2, 4.2], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.5 seconds."], "answer": "A) Video 2 starts at +0.5 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_526/cam0.mp4", "dataset/kubric_data/scene_526/cam1.mp4", "dataset/kubric_data/scene_526/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.3, 4.3], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_527/cam0.mp4", "dataset/kubric_data/scene_527/cam2.mp4", "dataset/kubric_data/scene_527/cam1.mp4"], "video_ranges": [[0.3, 3.3], [1.1, 4.1], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_528/cam2.mp4", "dataset/kubric_data/scene_528/cam0.mp4", "dataset/kubric_data/scene_528/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.2, 3.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at -1.0 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_529/cam2.mp4", "dataset/kubric_data/scene_529/cam1.mp4", "dataset/kubric_data/scene_529/cam0.mp4"], "video_ranges": [[1.5, 4.5], [0.5, 3.5], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_530/cam0.mp4", "dataset/kubric_data/scene_530/cam1.mp4", "dataset/kubric_data/scene_530/cam2.mp4"], "video_ranges": [[1.4, 4.4], [0.4, 3.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.9 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -1.8 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.9 seconds.", "D) Video 2 starts at +1.9 seconds; Video 3 starts at -0.1 seconds."], "answer": "A) Video 2 starts at -1.9 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_531/cam0.mp4", "dataset/kubric_data/scene_531/cam2.mp4", "dataset/kubric_data/scene_531/cam1.mp4"], "video_ranges": [[1.9, 4.9], [0.0, 3.0], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_532/cam2.mp4", "dataset/kubric_data/scene_532/cam1.mp4", "dataset/kubric_data/scene_532/cam0.mp4"], "video_ranges": [[1.3, 4.3], [1.8, 4.8], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds."], "answer": "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_533/cam2.mp4", "dataset/kubric_data/scene_533/cam0.mp4", "dataset/kubric_data/scene_533/cam1.mp4"], "video_ranges": [[1.3, 4.3], [1.9, 4.9], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_534/cam2.mp4", "dataset/kubric_data/scene_534/cam0.mp4", "dataset/kubric_data/scene_534/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.0, 4.0], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds."], "answer": "A) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_535/cam0.mp4", "dataset/kubric_data/scene_535/cam1.mp4", "dataset/kubric_data/scene_535/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.6, 3.6], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at -1.1 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_536/cam1.mp4", "dataset/kubric_data/scene_536/cam0.mp4", "dataset/kubric_data/scene_536/cam2.mp4"], "video_ranges": [[1.3, 4.3], [1.2, 4.2], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_537/cam0.mp4", "dataset/kubric_data/scene_537/cam2.mp4", "dataset/kubric_data/scene_537/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.3, 4.3], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +2.0 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.6 seconds."], "answer": "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.6 seconds.", "videos": ["dataset/kubric_data/scene_538/cam2.mp4", "dataset/kubric_data/scene_538/cam0.mp4", "dataset/kubric_data/scene_538/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.3, 4.3], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_539/cam0.mp4", "dataset/kubric_data/scene_539/cam1.mp4", "dataset/kubric_data/scene_539/cam2.mp4"], "video_ranges": [[1.0, 4.0], [1.8, 4.8], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.8 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.8 seconds.", "D) Video 2 starts at -1.8 seconds; Video 3 starts at -0.6 seconds."], "answer": "D) Video 2 starts at -1.8 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_540/cam0.mp4", "dataset/kubric_data/scene_540/cam1.mp4", "dataset/kubric_data/scene_540/cam2.mp4"], "video_ranges": [[2.0, 5.0], [0.2, 3.2], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.5 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at -1.5 seconds."], "answer": "A) Video 2 starts at -1.5 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_541/cam1.mp4", "dataset/kubric_data/scene_541/cam0.mp4", "dataset/kubric_data/scene_541/cam2.mp4"], "video_ranges": [[1.7, 4.7], [0.2, 3.2], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.4 seconds."], "answer": "A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_542/cam0.mp4", "dataset/kubric_data/scene_542/cam2.mp4", "dataset/kubric_data/scene_542/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.1, 4.1], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_543/cam2.mp4", "dataset/kubric_data/scene_543/cam1.mp4", "dataset/kubric_data/scene_543/cam0.mp4"], "video_ranges": [[0.5, 3.5], [0.1, 3.1], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_544/cam2.mp4", "dataset/kubric_data/scene_544/cam1.mp4", "dataset/kubric_data/scene_544/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.3, 3.3], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -1.6 seconds."], "answer": "D) Video 2 starts at -1.2 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_545/cam2.mp4", "dataset/kubric_data/scene_545/cam1.mp4", "dataset/kubric_data/scene_545/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.6, 3.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at -1.1 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_546/cam0.mp4", "dataset/kubric_data/scene_546/cam2.mp4", "dataset/kubric_data/scene_546/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.1, 3.1], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_547/cam2.mp4", "dataset/kubric_data/scene_547/cam1.mp4", "dataset/kubric_data/scene_547/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.2, 4.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.0 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds."], "answer": "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_548/cam0.mp4", "dataset/kubric_data/scene_548/cam2.mp4", "dataset/kubric_data/scene_548/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.9, 4.9], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -0.5 seconds."], "answer": "A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_549/cam1.mp4", "dataset/kubric_data/scene_549/cam2.mp4", "dataset/kubric_data/scene_549/cam0.mp4"], "video_ranges": [[1.1, 4.1], [0.1, 3.1], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_550/cam2.mp4", "dataset/kubric_data/scene_550/cam1.mp4", "dataset/kubric_data/scene_550/cam0.mp4"], "video_ranges": [[0.4, 3.4], [0.9, 3.9], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_551/cam0.mp4", "dataset/kubric_data/scene_551/cam1.mp4", "dataset/kubric_data/scene_551/cam2.mp4"], "video_ranges": [[1.1, 4.1], [1.7, 4.7], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -2.0 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +2.0 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at +2.0 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at +2.0 seconds.", "videos": ["dataset/kubric_data/scene_552/cam1.mp4", "dataset/kubric_data/scene_552/cam2.mp4", "dataset/kubric_data/scene_552/cam0.mp4"], "video_ranges": [[0.0, 3.0], [0.1, 3.1], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_553/cam1.mp4", "dataset/kubric_data/scene_553/cam0.mp4", "dataset/kubric_data/scene_553/cam2.mp4"], "video_ranges": [[0.5, 3.5], [1.8, 4.8], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_554/cam0.mp4", "dataset/kubric_data/scene_554/cam1.mp4", "dataset/kubric_data/scene_554/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.8, 3.8], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.4 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_555/cam0.mp4", "dataset/kubric_data/scene_555/cam2.mp4", "dataset/kubric_data/scene_555/cam1.mp4"], "video_ranges": [[0.6, 3.6], [2.0, 5.0], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.0 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.9 seconds."], "answer": "A) Video 2 starts at +0.9 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_556/cam2.mp4", "dataset/kubric_data/scene_556/cam1.mp4", "dataset/kubric_data/scene_556/cam0.mp4"], "video_ranges": [[0.7, 3.7], [1.6, 4.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_557/cam0.mp4", "dataset/kubric_data/scene_557/cam2.mp4", "dataset/kubric_data/scene_557/cam1.mp4"], "video_ranges": [[1.7, 4.7], [0.7, 3.7], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.3 seconds."], "answer": "A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_558/cam0.mp4", "dataset/kubric_data/scene_558/cam1.mp4", "dataset/kubric_data/scene_558/cam2.mp4"], "video_ranges": [[0.5, 3.5], [0.8, 3.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_559/cam0.mp4", "dataset/kubric_data/scene_559/cam2.mp4", "dataset/kubric_data/scene_559/cam1.mp4"], "video_ranges": [[1.2, 4.2], [1.5, 4.5], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at +1.2 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_560/cam0.mp4", "dataset/kubric_data/scene_560/cam1.mp4", "dataset/kubric_data/scene_560/cam2.mp4"], "video_ranges": [[1.1, 4.1], [1.2, 4.2], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.6 seconds."], "answer": "B) Video 2 starts at -0.7 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_561/cam0.mp4", "dataset/kubric_data/scene_561/cam2.mp4", "dataset/kubric_data/scene_561/cam1.mp4"], "video_ranges": [[1.6, 4.6], [0.9, 3.9], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_562/cam0.mp4", "dataset/kubric_data/scene_562/cam2.mp4", "dataset/kubric_data/scene_562/cam1.mp4"], "video_ranges": [[1.4, 4.4], [0.8, 3.8], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.3 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_563/cam0.mp4", "dataset/kubric_data/scene_563/cam1.mp4", "dataset/kubric_data/scene_563/cam2.mp4"], "video_ranges": [[1.0, 4.0], [0.9, 3.9], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.1 seconds."], "answer": "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_564/cam0.mp4", "dataset/kubric_data/scene_564/cam2.mp4", "dataset/kubric_data/scene_564/cam1.mp4"], "video_ranges": [[0.7, 3.7], [1.8, 4.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_565/cam0.mp4", "dataset/kubric_data/scene_565/cam2.mp4", "dataset/kubric_data/scene_565/cam1.mp4"], "video_ranges": [[0.5, 3.5], [1.8, 4.8], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -1.4 seconds."], "answer": "B) Video 2 starts at +1.3 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_566/cam1.mp4", "dataset/kubric_data/scene_566/cam0.mp4", "dataset/kubric_data/scene_566/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.5, 4.5], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.0 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_567/cam2.mp4", "dataset/kubric_data/scene_567/cam0.mp4", "dataset/kubric_data/scene_567/cam1.mp4"], "video_ranges": [[0.3, 3.3], [0.4, 3.4], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_568/cam0.mp4", "dataset/kubric_data/scene_568/cam1.mp4", "dataset/kubric_data/scene_568/cam2.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.0 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.3 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_569/cam1.mp4", "dataset/kubric_data/scene_569/cam2.mp4", "dataset/kubric_data/scene_569/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.4, 4.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_570/cam1.mp4", "dataset/kubric_data/scene_570/cam0.mp4", "dataset/kubric_data/scene_570/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.4, 4.4], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_571/cam2.mp4", "dataset/kubric_data/scene_571/cam1.mp4", "dataset/kubric_data/scene_571/cam0.mp4"], "video_ranges": [[0.6, 3.6], [1.3, 4.3], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.0 seconds; Video 3 starts at -1.6 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_572/cam2.mp4", "dataset/kubric_data/scene_572/cam0.mp4", "dataset/kubric_data/scene_572/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.4, 4.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_573/cam0.mp4", "dataset/kubric_data/scene_573/cam2.mp4", "dataset/kubric_data/scene_573/cam1.mp4"], "video_ranges": [[0.1, 3.1], [1.0, 4.0], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at +0.6 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_574/cam2.mp4", "dataset/kubric_data/scene_574/cam0.mp4", "dataset/kubric_data/scene_574/cam1.mp4"], "video_ranges": [[0.3, 3.3], [0.9, 3.9], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_575/cam0.mp4", "dataset/kubric_data/scene_575/cam1.mp4", "dataset/kubric_data/scene_575/cam2.mp4"], "video_ranges": [[1.3, 4.3], [1.0, 4.0], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_576/cam1.mp4", "dataset/kubric_data/scene_576/cam0.mp4", "dataset/kubric_data/scene_576/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.9, 3.9], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds."], "answer": "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_577/cam1.mp4", "dataset/kubric_data/scene_577/cam0.mp4", "dataset/kubric_data/scene_577/cam2.mp4"], "video_ranges": [[0.4, 3.4], [1.8, 4.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_578/cam2.mp4", "dataset/kubric_data/scene_578/cam0.mp4", "dataset/kubric_data/scene_578/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.0, 4.0], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_579/cam2.mp4", "dataset/kubric_data/scene_579/cam0.mp4", "dataset/kubric_data/scene_579/cam1.mp4"], "video_ranges": [[1.2, 4.2], [1.8, 4.8], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_580/cam0.mp4", "dataset/kubric_data/scene_580/cam1.mp4", "dataset/kubric_data/scene_580/cam2.mp4"], "video_ranges": [[1.5, 4.5], [0.6, 3.6], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_581/cam1.mp4", "dataset/kubric_data/scene_581/cam2.mp4", "dataset/kubric_data/scene_581/cam0.mp4"], "video_ranges": [[1.9, 4.9], [1.6, 4.6], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.4 seconds."], "answer": "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_582/cam1.mp4", "dataset/kubric_data/scene_582/cam0.mp4", "dataset/kubric_data/scene_582/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.9, 4.9], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +1.8 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at +1.8 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at -1.8 seconds; Video 3 starts at -1.4 seconds."], "answer": "C) Video 2 starts at +1.8 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_583/cam0.mp4", "dataset/kubric_data/scene_583/cam2.mp4", "dataset/kubric_data/scene_583/cam1.mp4"], "video_ranges": [[0.2, 3.2], [2.0, 5.0], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.7 seconds."], "answer": "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_584/cam2.mp4", "dataset/kubric_data/scene_584/cam0.mp4", "dataset/kubric_data/scene_584/cam1.mp4"], "video_ranges": [[0.9, 3.9], [2.0, 5.0], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_585/cam0.mp4", "dataset/kubric_data/scene_585/cam2.mp4", "dataset/kubric_data/scene_585/cam1.mp4"], "video_ranges": [[2.0, 5.0], [1.7, 4.7], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +1.5 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_586/cam2.mp4", "dataset/kubric_data/scene_586/cam0.mp4", "dataset/kubric_data/scene_586/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.5, 3.5], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_587/cam0.mp4", "dataset/kubric_data/scene_587/cam2.mp4", "dataset/kubric_data/scene_587/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.2, 4.2], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_588/cam1.mp4", "dataset/kubric_data/scene_588/cam2.mp4", "dataset/kubric_data/scene_588/cam0.mp4"], "video_ranges": [[0.4, 3.4], [1.3, 4.3], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -1.3 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_589/cam0.mp4", "dataset/kubric_data/scene_589/cam2.mp4", "dataset/kubric_data/scene_589/cam1.mp4"], "video_ranges": [[2.0, 5.0], [1.8, 4.8], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +1.9 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.6 seconds.", "videos": ["dataset/kubric_data/scene_590/cam0.mp4", "dataset/kubric_data/scene_590/cam1.mp4", "dataset/kubric_data/scene_590/cam2.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -1.1 seconds."], "answer": "A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_591/cam1.mp4", "dataset/kubric_data/scene_591/cam2.mp4", "dataset/kubric_data/scene_591/cam0.mp4"], "video_ranges": [[0.5, 3.5], [0.8, 3.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.0 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_592/cam0.mp4", "dataset/kubric_data/scene_592/cam1.mp4", "dataset/kubric_data/scene_592/cam2.mp4"], "video_ranges": [[0.3, 3.3], [0.6, 3.6], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.4 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_593/cam1.mp4", "dataset/kubric_data/scene_593/cam2.mp4", "dataset/kubric_data/scene_593/cam0.mp4"], "video_ranges": [[1.4, 4.4], [1.8, 4.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -1.2 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_594/cam2.mp4", "dataset/kubric_data/scene_594/cam1.mp4", "dataset/kubric_data/scene_594/cam0.mp4"], "video_ranges": [[1.5, 4.5], [0.3, 3.3], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at -1.9 seconds.", "D) Video 2 starts at -1.9 seconds; Video 3 starts at -0.7 seconds."], "answer": "D) Video 2 starts at -1.9 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_595/cam0.mp4", "dataset/kubric_data/scene_595/cam2.mp4", "dataset/kubric_data/scene_595/cam1.mp4"], "video_ranges": [[1.9, 4.9], [0.0, 3.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.0 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_596/cam1.mp4", "dataset/kubric_data/scene_596/cam2.mp4", "dataset/kubric_data/scene_596/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.0 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_597/cam2.mp4", "dataset/kubric_data/scene_597/cam1.mp4", "dataset/kubric_data/scene_597/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.8, 3.8], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.5 seconds."], "answer": "A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_598/cam2.mp4", "dataset/kubric_data/scene_598/cam0.mp4", "dataset/kubric_data/scene_598/cam1.mp4"], "video_ranges": [[0.3, 3.3], [1.8, 4.8], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +1.4 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at +1.4 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_599/cam2.mp4", "dataset/kubric_data/scene_599/cam0.mp4", "dataset/kubric_data/scene_599/cam1.mp4"], "video_ranges": [[0.6, 3.6], [2.0, 5.0], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_600/cam0.mp4", "dataset/kubric_data/scene_600/cam1.mp4", "dataset/kubric_data/scene_600/cam2.mp4"], "video_ranges": [[0.6, 3.6], [2.0, 5.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.4 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_601/cam0.mp4", "dataset/kubric_data/scene_601/cam2.mp4", "dataset/kubric_data/scene_601/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.1, 4.1], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_602/cam2.mp4", "dataset/kubric_data/scene_602/cam0.mp4", "dataset/kubric_data/scene_602/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.6, 3.6], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_603/cam0.mp4", "dataset/kubric_data/scene_603/cam1.mp4", "dataset/kubric_data/scene_603/cam2.mp4"], "video_ranges": [[0.4, 3.4], [1.5, 4.5], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_604/cam1.mp4", "dataset/kubric_data/scene_604/cam0.mp4", "dataset/kubric_data/scene_604/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.1, 4.1], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.0 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_605/cam1.mp4", "dataset/kubric_data/scene_605/cam0.mp4", "dataset/kubric_data/scene_605/cam2.mp4"], "video_ranges": [[1.3, 4.3], [1.5, 4.5], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -1.1 seconds."], "answer": "C) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_606/cam0.mp4", "dataset/kubric_data/scene_606/cam1.mp4", "dataset/kubric_data/scene_606/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.4, 3.4], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.0 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.2 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_607/cam1.mp4", "dataset/kubric_data/scene_607/cam0.mp4", "dataset/kubric_data/scene_607/cam2.mp4"], "video_ranges": [[1.9, 4.9], [1.8, 4.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_608/cam1.mp4", "dataset/kubric_data/scene_608/cam2.mp4", "dataset/kubric_data/scene_608/cam0.mp4"], "video_ranges": [[1.1, 4.1], [1.3, 4.3], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_609/cam2.mp4", "dataset/kubric_data/scene_609/cam1.mp4", "dataset/kubric_data/scene_609/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.8, 4.8], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_610/cam0.mp4", "dataset/kubric_data/scene_610/cam1.mp4", "dataset/kubric_data/scene_610/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.0, 3.0], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.5 seconds.", "B) Video 2 starts at +1.5 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -1.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -0.7 seconds."], "answer": "C) Video 2 starts at -1.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_611/cam0.mp4", "dataset/kubric_data/scene_611/cam1.mp4", "dataset/kubric_data/scene_611/cam2.mp4"], "video_ranges": [[1.9, 4.9], [0.4, 3.4], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.9 seconds; Video 3 starts at -2.0 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at -1.8 seconds; Video 3 starts at -1.6 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -1.8 seconds."], "answer": "C) Video 2 starts at -1.8 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_612/cam1.mp4", "dataset/kubric_data/scene_612/cam0.mp4", "dataset/kubric_data/scene_612/cam2.mp4"], "video_ranges": [[1.9, 4.9], [0.2, 3.2], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.9 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_613/cam0.mp4", "dataset/kubric_data/scene_613/cam1.mp4", "dataset/kubric_data/scene_613/cam2.mp4"], "video_ranges": [[1.4, 4.4], [1.1, 4.1], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.9 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_614/cam2.mp4", "dataset/kubric_data/scene_614/cam0.mp4", "dataset/kubric_data/scene_614/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.8, 4.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_615/cam0.mp4", "dataset/kubric_data/scene_615/cam2.mp4", "dataset/kubric_data/scene_615/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.9, 4.9], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_616/cam1.mp4", "dataset/kubric_data/scene_616/cam0.mp4", "dataset/kubric_data/scene_616/cam2.mp4"], "video_ranges": [[1.5, 4.5], [1.0, 4.0], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_617/cam2.mp4", "dataset/kubric_data/scene_617/cam1.mp4", "dataset/kubric_data/scene_617/cam0.mp4"], "video_ranges": [[1.1, 4.1], [0.8, 3.8], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.5 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_618/cam2.mp4", "dataset/kubric_data/scene_618/cam1.mp4", "dataset/kubric_data/scene_618/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.2, 4.2], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.5 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at +1.5 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -1.6 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -1.5 seconds."], "answer": "A) Video 2 starts at -1.5 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_619/cam0.mp4", "dataset/kubric_data/scene_619/cam2.mp4", "dataset/kubric_data/scene_619/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.0, 3.0], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -1.3 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_620/cam2.mp4", "dataset/kubric_data/scene_620/cam0.mp4", "dataset/kubric_data/scene_620/cam1.mp4"], "video_ranges": [[0.5, 3.5], [0.8, 3.8], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_621/cam1.mp4", "dataset/kubric_data/scene_621/cam2.mp4", "dataset/kubric_data/scene_621/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.6, 4.6], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.0 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_622/cam2.mp4", "dataset/kubric_data/scene_622/cam0.mp4", "dataset/kubric_data/scene_622/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.5, 4.5], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.9 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_623/cam0.mp4", "dataset/kubric_data/scene_623/cam2.mp4", "dataset/kubric_data/scene_623/cam1.mp4"], "video_ranges": [[0.3, 3.3], [0.7, 3.7], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_624/cam1.mp4", "dataset/kubric_data/scene_624/cam0.mp4", "dataset/kubric_data/scene_624/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.6, 4.6], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.8 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +1.8 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -2.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -1.8 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at -1.8 seconds.", "videos": ["dataset/kubric_data/scene_625/cam0.mp4", "dataset/kubric_data/scene_625/cam1.mp4", "dataset/kubric_data/scene_625/cam2.mp4"], "video_ranges": [[1.8, 4.8], [1.3, 4.3], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -1.7 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.4 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_626/cam1.mp4", "dataset/kubric_data/scene_626/cam0.mp4", "dataset/kubric_data/scene_626/cam2.mp4"], "video_ranges": [[1.7, 4.7], [1.4, 4.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.0 seconds."], "answer": "A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_627/cam1.mp4", "dataset/kubric_data/scene_627/cam2.mp4", "dataset/kubric_data/scene_627/cam0.mp4"], "video_ranges": [[0.9, 3.9], [1.9, 4.9], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.4 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at +1.7 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_628/cam0.mp4", "dataset/kubric_data/scene_628/cam1.mp4", "dataset/kubric_data/scene_628/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.0, 3.0], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.4 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_629/cam0.mp4", "dataset/kubric_data/scene_629/cam1.mp4", "dataset/kubric_data/scene_629/cam2.mp4"], "video_ranges": [[0.4, 3.4], [1.8, 4.8], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.8 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_630/cam1.mp4", "dataset/kubric_data/scene_630/cam2.mp4", "dataset/kubric_data/scene_630/cam0.mp4"], "video_ranges": [[1.2, 4.2], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_631/cam2.mp4", "dataset/kubric_data/scene_631/cam1.mp4", "dataset/kubric_data/scene_631/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.2, 4.2], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.6 seconds."], "answer": "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_632/cam2.mp4", "dataset/kubric_data/scene_632/cam0.mp4", "dataset/kubric_data/scene_632/cam1.mp4"], "video_ranges": [[1.3, 4.3], [0.2, 3.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_633/cam2.mp4", "dataset/kubric_data/scene_633/cam0.mp4", "dataset/kubric_data/scene_633/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.8, 4.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_634/cam0.mp4", "dataset/kubric_data/scene_634/cam2.mp4", "dataset/kubric_data/scene_634/cam1.mp4"], "video_ranges": [[1.0, 4.0], [1.8, 4.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.0 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_635/cam1.mp4", "dataset/kubric_data/scene_635/cam2.mp4", "dataset/kubric_data/scene_635/cam0.mp4"], "video_ranges": [[0.9, 3.9], [0.7, 3.7], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_636/cam0.mp4", "dataset/kubric_data/scene_636/cam2.mp4", "dataset/kubric_data/scene_636/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.1, 4.1], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_637/cam2.mp4", "dataset/kubric_data/scene_637/cam1.mp4", "dataset/kubric_data/scene_637/cam0.mp4"], "video_ranges": [[1.1, 4.1], [1.6, 4.6], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_638/cam1.mp4", "dataset/kubric_data/scene_638/cam2.mp4", "dataset/kubric_data/scene_638/cam0.mp4"], "video_ranges": [[1.5, 4.5], [1.2, 4.2], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_639/cam2.mp4", "dataset/kubric_data/scene_639/cam1.mp4", "dataset/kubric_data/scene_639/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_640/cam0.mp4", "dataset/kubric_data/scene_640/cam1.mp4", "dataset/kubric_data/scene_640/cam2.mp4"], "video_ranges": [[0.9, 3.9], [0.7, 3.7], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.5 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_641/cam0.mp4", "dataset/kubric_data/scene_641/cam2.mp4", "dataset/kubric_data/scene_641/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.1, 4.1], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -1.0 seconds."], "answer": "A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_642/cam1.mp4", "dataset/kubric_data/scene_642/cam0.mp4", "dataset/kubric_data/scene_642/cam2.mp4"], "video_ranges": [[2.0, 5.0], [1.5, 4.5], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at +1.0 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_643/cam2.mp4", "dataset/kubric_data/scene_643/cam0.mp4", "dataset/kubric_data/scene_643/cam1.mp4"], "video_ranges": [[0.3, 3.3], [0.4, 3.4], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_644/cam2.mp4", "dataset/kubric_data/scene_644/cam1.mp4", "dataset/kubric_data/scene_644/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.7, 4.7], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_645/cam0.mp4", "dataset/kubric_data/scene_645/cam1.mp4", "dataset/kubric_data/scene_645/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.0, 4.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_646/cam1.mp4", "dataset/kubric_data/scene_646/cam2.mp4", "dataset/kubric_data/scene_646/cam0.mp4"], "video_ranges": [[0.4, 3.4], [0.7, 3.7], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -1.1 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_647/cam0.mp4", "dataset/kubric_data/scene_647/cam1.mp4", "dataset/kubric_data/scene_647/cam2.mp4"], "video_ranges": [[0.9, 3.9], [0.6, 3.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -1.6 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_648/cam2.mp4", "dataset/kubric_data/scene_648/cam1.mp4", "dataset/kubric_data/scene_648/cam0.mp4"], "video_ranges": [[1.3, 4.3], [1.2, 4.2], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +1.0 seconds."], "answer": "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_649/cam1.mp4", "dataset/kubric_data/scene_649/cam2.mp4", "dataset/kubric_data/scene_649/cam0.mp4"], "video_ranges": [[1.0, 4.0], [2.0, 5.0], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at -1.0 seconds."], "answer": "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_650/cam2.mp4", "dataset/kubric_data/scene_650/cam0.mp4", "dataset/kubric_data/scene_650/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.6, 4.6], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_651/cam1.mp4", "dataset/kubric_data/scene_651/cam2.mp4", "dataset/kubric_data/scene_651/cam0.mp4"], "video_ranges": [[2.0, 5.0], [1.9, 4.9], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -1.2 seconds."], "answer": "D) Video 2 starts at -1.1 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_652/cam2.mp4", "dataset/kubric_data/scene_652/cam1.mp4", "dataset/kubric_data/scene_652/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.2, 3.2], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.7 seconds.", "B) Video 2 starts at -1.7 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -1.1 seconds."], "answer": "B) Video 2 starts at -1.7 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_653/cam2.mp4", "dataset/kubric_data/scene_653/cam1.mp4", "dataset/kubric_data/scene_653/cam0.mp4"], "video_ranges": [[1.9, 4.9], [0.2, 3.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -1.7 seconds."], "answer": "A) Video 2 starts at -1.0 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_654/cam1.mp4", "dataset/kubric_data/scene_654/cam2.mp4", "dataset/kubric_data/scene_654/cam0.mp4"], "video_ranges": [[2.0, 5.0], [1.0, 4.0], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_655/cam2.mp4", "dataset/kubric_data/scene_655/cam1.mp4", "dataset/kubric_data/scene_655/cam0.mp4"], "video_ranges": [[0.9, 3.9], [0.4, 3.4], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_656/cam2.mp4", "dataset/kubric_data/scene_656/cam0.mp4", "dataset/kubric_data/scene_656/cam1.mp4"], "video_ranges": [[0.6, 3.6], [0.2, 3.2], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.5 seconds."], "answer": "A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_657/cam2.mp4", "dataset/kubric_data/scene_657/cam1.mp4", "dataset/kubric_data/scene_657/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.1, 4.1], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.0 seconds."], "answer": "B) Video 2 starts at +1.0 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_658/cam2.mp4", "dataset/kubric_data/scene_658/cam1.mp4", "dataset/kubric_data/scene_658/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.8, 4.8], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.4 seconds."], "answer": "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_659/cam0.mp4", "dataset/kubric_data/scene_659/cam2.mp4", "dataset/kubric_data/scene_659/cam1.mp4"], "video_ranges": [[1.3, 4.3], [1.0, 4.0], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.5 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_660/cam2.mp4", "dataset/kubric_data/scene_660/cam1.mp4", "dataset/kubric_data/scene_660/cam0.mp4"], "video_ranges": [[2.0, 5.0], [0.5, 3.5], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_661/cam0.mp4", "dataset/kubric_data/scene_661/cam2.mp4", "dataset/kubric_data/scene_661/cam1.mp4"], "video_ranges": [[0.1, 3.1], [1.2, 4.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_662/cam2.mp4", "dataset/kubric_data/scene_662/cam1.mp4", "dataset/kubric_data/scene_662/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.8, 4.8], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_663/cam2.mp4", "dataset/kubric_data/scene_663/cam0.mp4", "dataset/kubric_data/scene_663/cam1.mp4"], "video_ranges": [[1.9, 4.9], [1.3, 4.3], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.6 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "videos": ["dataset/kubric_data/scene_664/cam0.mp4", "dataset/kubric_data/scene_664/cam1.mp4", "dataset/kubric_data/scene_664/cam2.mp4"], "video_ranges": [[0.3, 3.3], [0.6, 3.6], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at +1.8 seconds.", "B) Video 2 starts at -1.8 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at +1.8 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at +1.6 seconds; Video 3 starts at +1.1 seconds."], "answer": "C) Video 2 starts at +1.8 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_665/cam1.mp4", "dataset/kubric_data/scene_665/cam2.mp4", "dataset/kubric_data/scene_665/cam0.mp4"], "video_ranges": [[0.0, 3.0], [1.8, 4.8], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_666/cam2.mp4", "dataset/kubric_data/scene_666/cam0.mp4", "dataset/kubric_data/scene_666/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_667/cam2.mp4", "dataset/kubric_data/scene_667/cam0.mp4", "dataset/kubric_data/scene_667/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.2, 4.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_668/cam0.mp4", "dataset/kubric_data/scene_668/cam1.mp4", "dataset/kubric_data/scene_668/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.0, 3.0], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_669/cam1.mp4", "dataset/kubric_data/scene_669/cam2.mp4", "dataset/kubric_data/scene_669/cam0.mp4"], "video_ranges": [[0.9, 3.9], [1.7, 4.7], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_670/cam1.mp4", "dataset/kubric_data/scene_670/cam2.mp4", "dataset/kubric_data/scene_670/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.5, 4.5], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.8 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +1.6 seconds; Video 3 starts at +1.1 seconds."], "answer": "C) Video 2 starts at -1.6 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_671/cam0.mp4", "dataset/kubric_data/scene_671/cam1.mp4", "dataset/kubric_data/scene_671/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.0, 3.0], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_672/cam0.mp4", "dataset/kubric_data/scene_672/cam2.mp4", "dataset/kubric_data/scene_672/cam1.mp4"], "video_ranges": [[0.4, 3.4], [0.7, 3.7], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_673/cam2.mp4", "dataset/kubric_data/scene_673/cam1.mp4", "dataset/kubric_data/scene_673/cam0.mp4"], "video_ranges": [[0.4, 3.4], [0.2, 3.2], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_674/cam1.mp4", "dataset/kubric_data/scene_674/cam2.mp4", "dataset/kubric_data/scene_674/cam0.mp4"], "video_ranges": [[0.4, 3.4], [0.9, 3.9], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -1.3 seconds."], "answer": "A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_675/cam1.mp4", "dataset/kubric_data/scene_675/cam0.mp4", "dataset/kubric_data/scene_675/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.2, 3.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +1.7 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +1.7 seconds."], "answer": "B) Video 2 starts at +1.7 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_676/cam2.mp4", "dataset/kubric_data/scene_676/cam1.mp4", "dataset/kubric_data/scene_676/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.8, 4.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_677/cam2.mp4", "dataset/kubric_data/scene_677/cam1.mp4", "dataset/kubric_data/scene_677/cam0.mp4"], "video_ranges": [[0.9, 3.9], [1.1, 4.1], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_678/cam1.mp4", "dataset/kubric_data/scene_678/cam2.mp4", "dataset/kubric_data/scene_678/cam0.mp4"], "video_ranges": [[1.1, 4.1], [0.7, 3.7], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.5 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +1.7 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -1.7 seconds.", "D) Video 2 starts at -1.7 seconds; Video 3 starts at -1.0 seconds."], "answer": "D) Video 2 starts at -1.7 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_679/cam1.mp4", "dataset/kubric_data/scene_679/cam2.mp4", "dataset/kubric_data/scene_679/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.2, 3.2], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.8 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.8 seconds.", "C) Video 2 starts at +0.0 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.8 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.8 seconds.", "videos": ["dataset/kubric_data/scene_680/cam0.mp4", "dataset/kubric_data/scene_680/cam1.mp4", "dataset/kubric_data/scene_680/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.2, 3.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -1.2 seconds."], "answer": "A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_681/cam1.mp4", "dataset/kubric_data/scene_681/cam2.mp4", "dataset/kubric_data/scene_681/cam0.mp4"], "video_ranges": [[1.6, 4.6], [0.3, 3.3], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.2 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_682/cam0.mp4", "dataset/kubric_data/scene_682/cam1.mp4", "dataset/kubric_data/scene_682/cam2.mp4"], "video_ranges": [[1.9, 4.9], [1.8, 4.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_683/cam0.mp4", "dataset/kubric_data/scene_683/cam1.mp4", "dataset/kubric_data/scene_683/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.1, 4.1], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.9 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_684/cam1.mp4", "dataset/kubric_data/scene_684/cam2.mp4", "dataset/kubric_data/scene_684/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.9, 3.9], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_685/cam1.mp4", "dataset/kubric_data/scene_685/cam2.mp4", "dataset/kubric_data/scene_685/cam0.mp4"], "video_ranges": [[0.7, 3.7], [1.9, 4.9], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_686/cam2.mp4", "dataset/kubric_data/scene_686/cam1.mp4", "dataset/kubric_data/scene_686/cam0.mp4"], "video_ranges": [[0.9, 3.9], [1.5, 4.5], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -1.0 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_687/cam2.mp4", "dataset/kubric_data/scene_687/cam1.mp4", "dataset/kubric_data/scene_687/cam0.mp4"], "video_ranges": [[0.5, 3.5], [0.2, 3.2], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +1.6 seconds."], "answer": "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_688/cam2.mp4", "dataset/kubric_data/scene_688/cam1.mp4", "dataset/kubric_data/scene_688/cam0.mp4"], "video_ranges": [[0.7, 3.7], [1.2, 4.2], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.0 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_689/cam2.mp4", "dataset/kubric_data/scene_689/cam1.mp4", "dataset/kubric_data/scene_689/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.5 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_690/cam1.mp4", "dataset/kubric_data/scene_690/cam2.mp4", "dataset/kubric_data/scene_690/cam0.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -1.2 seconds."], "answer": "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_691/cam2.mp4", "dataset/kubric_data/scene_691/cam0.mp4", "dataset/kubric_data/scene_691/cam1.mp4"], "video_ranges": [[0.0, 3.0], [0.6, 3.6], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at +0.7 seconds."], "answer": "A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_692/cam2.mp4", "dataset/kubric_data/scene_692/cam0.mp4", "dataset/kubric_data/scene_692/cam1.mp4"], "video_ranges": [[0.1, 3.1], [1.5, 4.5], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_693/cam1.mp4", "dataset/kubric_data/scene_693/cam2.mp4", "dataset/kubric_data/scene_693/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.1, 4.1], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_694/cam0.mp4", "dataset/kubric_data/scene_694/cam2.mp4", "dataset/kubric_data/scene_694/cam1.mp4"], "video_ranges": [[1.4, 4.4], [2.0, 5.0], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_695/cam1.mp4", "dataset/kubric_data/scene_695/cam0.mp4", "dataset/kubric_data/scene_695/cam2.mp4"], "video_ranges": [[0.3, 3.3], [0.7, 3.7], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.0 seconds."], "answer": "A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_696/cam1.mp4", "dataset/kubric_data/scene_696/cam2.mp4", "dataset/kubric_data/scene_696/cam0.mp4"], "video_ranges": [[0.8, 3.8], [2.0, 5.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_697/cam0.mp4", "dataset/kubric_data/scene_697/cam1.mp4", "dataset/kubric_data/scene_697/cam2.mp4"], "video_ranges": [[0.5, 3.5], [0.6, 3.6], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_698/cam1.mp4", "dataset/kubric_data/scene_698/cam2.mp4", "dataset/kubric_data/scene_698/cam0.mp4"], "video_ranges": [[1.3, 4.3], [1.1, 4.1], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_699/cam2.mp4", "dataset/kubric_data/scene_699/cam0.mp4", "dataset/kubric_data/scene_699/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.0, 3.0], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_700/cam2.mp4", "dataset/kubric_data/scene_700/cam0.mp4", "dataset/kubric_data/scene_700/cam1.mp4"], "video_ranges": [[1.9, 4.9], [1.7, 4.7], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.7 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_701/cam2.mp4", "dataset/kubric_data/scene_701/cam0.mp4", "dataset/kubric_data/scene_701/cam1.mp4"], "video_ranges": [[0.0, 3.0], [1.2, 4.2], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_702/cam0.mp4", "dataset/kubric_data/scene_702/cam1.mp4", "dataset/kubric_data/scene_702/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.8, 4.8], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds."], "answer": "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_703/cam0.mp4", "dataset/kubric_data/scene_703/cam2.mp4", "dataset/kubric_data/scene_703/cam1.mp4"], "video_ranges": [[0.8, 3.8], [0.4, 3.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.6 seconds."], "answer": "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_704/cam2.mp4", "dataset/kubric_data/scene_704/cam0.mp4", "dataset/kubric_data/scene_704/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.4, 4.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_705/cam1.mp4", "dataset/kubric_data/scene_705/cam2.mp4", "dataset/kubric_data/scene_705/cam0.mp4"], "video_ranges": [[0.9, 3.9], [1.7, 4.7], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.0 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.7 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_706/cam0.mp4", "dataset/kubric_data/scene_706/cam2.mp4", "dataset/kubric_data/scene_706/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.4, 3.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at +1.5 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_707/cam0.mp4", "dataset/kubric_data/scene_707/cam2.mp4", "dataset/kubric_data/scene_707/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.8, 4.8], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.8 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -1.8 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +1.8 seconds."], "answer": "A) Video 2 starts at +1.8 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_708/cam1.mp4", "dataset/kubric_data/scene_708/cam0.mp4", "dataset/kubric_data/scene_708/cam2.mp4"], "video_ranges": [[0.1, 3.1], [1.8, 4.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at +0.3 seconds."], "answer": "A) Video 2 starts at +1.0 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_709/cam2.mp4", "dataset/kubric_data/scene_709/cam1.mp4", "dataset/kubric_data/scene_709/cam0.mp4"], "video_ranges": [[0.3, 3.3], [1.3, 4.3], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.6 seconds; Video 3 starts at -1.7 seconds.", "B) Video 2 starts at +1.7 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at +1.7 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +1.6 seconds."], "answer": "C) Video 2 starts at +1.6 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_710/cam1.mp4", "dataset/kubric_data/scene_710/cam2.mp4", "dataset/kubric_data/scene_710/cam0.mp4"], "video_ranges": [[0.0, 3.0], [1.6, 4.6], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_711/cam2.mp4", "dataset/kubric_data/scene_711/cam0.mp4", "dataset/kubric_data/scene_711/cam1.mp4"], "video_ranges": [[0.7, 3.7], [0.8, 3.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_712/cam0.mp4", "dataset/kubric_data/scene_712/cam2.mp4", "dataset/kubric_data/scene_712/cam1.mp4"], "video_ranges": [[0.5, 3.5], [0.6, 3.6], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.7 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_713/cam0.mp4", "dataset/kubric_data/scene_713/cam2.mp4", "dataset/kubric_data/scene_713/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.7, 4.7], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.0 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_714/cam1.mp4", "dataset/kubric_data/scene_714/cam2.mp4", "dataset/kubric_data/scene_714/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.4, 3.4], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at +0.7 seconds."], "answer": "A) Video 2 starts at +0.7 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_715/cam1.mp4", "dataset/kubric_data/scene_715/cam2.mp4", "dataset/kubric_data/scene_715/cam0.mp4"], "video_ranges": [[1.2, 4.2], [1.9, 4.9], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_716/cam0.mp4", "dataset/kubric_data/scene_716/cam1.mp4", "dataset/kubric_data/scene_716/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.2, 4.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_717/cam0.mp4", "dataset/kubric_data/scene_717/cam1.mp4", "dataset/kubric_data/scene_717/cam2.mp4"], "video_ranges": [[1.7, 4.7], [1.4, 4.4], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.4 seconds."], "answer": "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_718/cam0.mp4", "dataset/kubric_data/scene_718/cam2.mp4", "dataset/kubric_data/scene_718/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at +0.0 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds."], "answer": "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_719/cam2.mp4", "dataset/kubric_data/scene_719/cam0.mp4", "dataset/kubric_data/scene_719/cam1.mp4"], "video_ranges": [[1.7, 4.7], [0.6, 3.6], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_720/cam2.mp4", "dataset/kubric_data/scene_720/cam1.mp4", "dataset/kubric_data/scene_720/cam0.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_721/cam0.mp4", "dataset/kubric_data/scene_721/cam1.mp4", "dataset/kubric_data/scene_721/cam2.mp4"], "video_ranges": [[0.5, 3.5], [0.9, 3.9], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.9 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_722/cam1.mp4", "dataset/kubric_data/scene_722/cam0.mp4", "dataset/kubric_data/scene_722/cam2.mp4"], "video_ranges": [[0.4, 3.4], [0.9, 3.9], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.1 seconds."], "answer": "C) Video 2 starts at +1.1 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_723/cam0.mp4", "dataset/kubric_data/scene_723/cam2.mp4", "dataset/kubric_data/scene_723/cam1.mp4"], "video_ranges": [[0.5, 3.5], [1.6, 4.6], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.6 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +0.5 seconds."], "answer": "B) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_724/cam0.mp4", "dataset/kubric_data/scene_724/cam2.mp4", "dataset/kubric_data/scene_724/cam1.mp4"], "video_ranges": [[0.0, 3.0], [1.6, 4.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at -1.1 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_725/cam2.mp4", "dataset/kubric_data/scene_725/cam1.mp4", "dataset/kubric_data/scene_725/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.2, 3.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -1.6 seconds."], "answer": "D) Video 2 starts at -0.4 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_726/cam1.mp4", "dataset/kubric_data/scene_726/cam2.mp4", "dataset/kubric_data/scene_726/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.2, 4.2], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_727/cam2.mp4", "dataset/kubric_data/scene_727/cam1.mp4", "dataset/kubric_data/scene_727/cam0.mp4"], "video_ranges": [[1.1, 4.1], [0.9, 3.9], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_728/cam2.mp4", "dataset/kubric_data/scene_728/cam1.mp4", "dataset/kubric_data/scene_728/cam0.mp4"], "video_ranges": [[0.9, 3.9], [0.2, 3.2], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.8 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.8 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +1.8 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.8 seconds.", "videos": ["dataset/kubric_data/scene_729/cam1.mp4", "dataset/kubric_data/scene_729/cam0.mp4", "dataset/kubric_data/scene_729/cam2.mp4"], "video_ranges": [[1.9, 4.9], [1.6, 4.6], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_730/cam1.mp4", "dataset/kubric_data/scene_730/cam0.mp4", "dataset/kubric_data/scene_730/cam2.mp4"], "video_ranges": [[0.4, 3.4], [1.8, 4.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.3 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_731/cam0.mp4", "dataset/kubric_data/scene_731/cam1.mp4", "dataset/kubric_data/scene_731/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.2, 3.2], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_732/cam2.mp4", "dataset/kubric_data/scene_732/cam0.mp4", "dataset/kubric_data/scene_732/cam1.mp4"], "video_ranges": [[0.5, 3.5], [1.4, 4.4], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.9 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_733/cam1.mp4", "dataset/kubric_data/scene_733/cam0.mp4", "dataset/kubric_data/scene_733/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.3, 3.3], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_734/cam0.mp4", "dataset/kubric_data/scene_734/cam2.mp4", "dataset/kubric_data/scene_734/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.3, 3.3], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.0 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_735/cam2.mp4", "dataset/kubric_data/scene_735/cam0.mp4", "dataset/kubric_data/scene_735/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.5, 4.5], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_736/cam1.mp4", "dataset/kubric_data/scene_736/cam0.mp4", "dataset/kubric_data/scene_736/cam2.mp4"], "video_ranges": [[1.3, 4.3], [1.6, 4.6], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_737/cam1.mp4", "dataset/kubric_data/scene_737/cam0.mp4", "dataset/kubric_data/scene_737/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.4, 4.4], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.7 seconds.", "D) Video 2 starts at +1.7 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at +1.7 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_738/cam1.mp4", "dataset/kubric_data/scene_738/cam0.mp4", "dataset/kubric_data/scene_738/cam2.mp4"], "video_ranges": [[0.1, 3.1], [1.8, 4.8], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_739/cam1.mp4", "dataset/kubric_data/scene_739/cam0.mp4", "dataset/kubric_data/scene_739/cam2.mp4"], "video_ranges": [[1.5, 4.5], [2.0, 5.0], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +1.8 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.8 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +2.1 seconds."], "answer": "A) Video 2 starts at +0.6 seconds; Video 3 starts at +1.8 seconds.", "videos": ["dataset/kubric_data/scene_740/cam0.mp4", "dataset/kubric_data/scene_740/cam1.mp4", "dataset/kubric_data/scene_740/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.6, 3.6], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds."], "answer": "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_741/cam1.mp4", "dataset/kubric_data/scene_741/cam2.mp4", "dataset/kubric_data/scene_741/cam0.mp4"], "video_ranges": [[0.0, 3.0], [0.6, 3.6], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at +0.6 seconds."], "answer": "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_742/cam0.mp4", "dataset/kubric_data/scene_742/cam1.mp4", "dataset/kubric_data/scene_742/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.7, 3.7], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_743/cam2.mp4", "dataset/kubric_data/scene_743/cam0.mp4", "dataset/kubric_data/scene_743/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_744/cam2.mp4", "dataset/kubric_data/scene_744/cam0.mp4", "dataset/kubric_data/scene_744/cam1.mp4"], "video_ranges": [[1.2, 4.2], [1.5, 4.5], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.0 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at -1.5 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at +0.4 seconds."], "answer": "D) Video 2 starts at +1.5 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_745/cam1.mp4", "dataset/kubric_data/scene_745/cam2.mp4", "dataset/kubric_data/scene_745/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.7, 4.7], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.6 seconds."], "answer": "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_746/cam1.mp4", "dataset/kubric_data/scene_746/cam2.mp4", "dataset/kubric_data/scene_746/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.8, 3.8], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_747/cam1.mp4", "dataset/kubric_data/scene_747/cam0.mp4", "dataset/kubric_data/scene_747/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.6, 3.6], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -1.5 seconds.", "B) Video 2 starts at -1.5 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at -1.5 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_748/cam1.mp4", "dataset/kubric_data/scene_748/cam2.mp4", "dataset/kubric_data/scene_748/cam0.mp4"], "video_ranges": [[1.5, 4.5], [0.0, 3.0], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_749/cam0.mp4", "dataset/kubric_data/scene_749/cam2.mp4", "dataset/kubric_data/scene_749/cam1.mp4"], "video_ranges": [[1.2, 4.2], [1.4, 4.4], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_750/cam1.mp4", "dataset/kubric_data/scene_750/cam0.mp4", "dataset/kubric_data/scene_750/cam2.mp4"], "video_ranges": [[1.4, 4.4], [0.4, 3.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.3 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_751/cam0.mp4", "dataset/kubric_data/scene_751/cam2.mp4", "dataset/kubric_data/scene_751/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.4, 4.4], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -2.2 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at +2.0 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -2.0 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -2.0 seconds."], "answer": "C) Video 2 starts at -2.0 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_752/cam2.mp4", "dataset/kubric_data/scene_752/cam0.mp4", "dataset/kubric_data/scene_752/cam1.mp4"], "video_ranges": [[2.0, 5.0], [0.0, 3.0], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.9 seconds."], "answer": "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_753/cam0.mp4", "dataset/kubric_data/scene_753/cam1.mp4", "dataset/kubric_data/scene_753/cam2.mp4"], "video_ranges": [[0.4, 3.4], [0.3, 3.3], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.8 seconds; Video 3 starts at -2.0 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at +2.0 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +2.0 seconds."], "answer": "D) Video 2 starts at +1.8 seconds; Video 3 starts at +2.0 seconds.", "videos": ["dataset/kubric_data/scene_754/cam0.mp4", "dataset/kubric_data/scene_754/cam1.mp4", "dataset/kubric_data/scene_754/cam2.mp4"], "video_ranges": [[0.0, 3.0], [1.8, 4.8], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.3 seconds."], "answer": "A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_755/cam1.mp4", "dataset/kubric_data/scene_755/cam2.mp4", "dataset/kubric_data/scene_755/cam0.mp4"], "video_ranges": [[1.7, 4.7], [1.2, 4.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.3 seconds."], "answer": "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_756/cam2.mp4", "dataset/kubric_data/scene_756/cam1.mp4", "dataset/kubric_data/scene_756/cam0.mp4"], "video_ranges": [[1.1, 4.1], [0.8, 3.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_757/cam1.mp4", "dataset/kubric_data/scene_757/cam0.mp4", "dataset/kubric_data/scene_757/cam2.mp4"], "video_ranges": [[1.4, 4.4], [0.9, 3.9], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_758/cam0.mp4", "dataset/kubric_data/scene_758/cam2.mp4", "dataset/kubric_data/scene_758/cam1.mp4"], "video_ranges": [[1.9, 4.9], [1.2, 4.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -1.3 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_759/cam2.mp4", "dataset/kubric_data/scene_759/cam1.mp4", "dataset/kubric_data/scene_759/cam0.mp4"], "video_ranges": [[1.3, 4.3], [1.8, 4.8], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_760/cam2.mp4", "dataset/kubric_data/scene_760/cam1.mp4", "dataset/kubric_data/scene_760/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.9, 4.9], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.1 seconds."], "answer": "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_761/cam2.mp4", "dataset/kubric_data/scene_761/cam0.mp4", "dataset/kubric_data/scene_761/cam1.mp4"], "video_ranges": [[0.3, 3.3], [0.4, 3.4], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.8 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at -1.8 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.8 seconds.", "videos": ["dataset/kubric_data/scene_762/cam2.mp4", "dataset/kubric_data/scene_762/cam1.mp4", "dataset/kubric_data/scene_762/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.2, 4.2], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_763/cam1.mp4", "dataset/kubric_data/scene_763/cam0.mp4", "dataset/kubric_data/scene_763/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.9, 3.9], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.9 seconds; Video 3 starts at +2.1 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at +1.7 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at -1.8 seconds; Video 3 starts at -1.7 seconds."], "answer": "B) Video 2 starts at +1.8 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_764/cam2.mp4", "dataset/kubric_data/scene_764/cam1.mp4", "dataset/kubric_data/scene_764/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.9, 4.9], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.7 seconds; Video 3 starts at +1.4 seconds.", "B) Video 2 starts at -1.8 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -1.7 seconds.", "D) Video 2 starts at -1.7 seconds; Video 3 starts at -1.4 seconds."], "answer": "D) Video 2 starts at -1.7 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_765/cam1.mp4", "dataset/kubric_data/scene_765/cam2.mp4", "dataset/kubric_data/scene_765/cam0.mp4"], "video_ranges": [[1.7, 4.7], [0.0, 3.0], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -1.7 seconds.", "B) Video 2 starts at -1.7 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.7 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.3 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -1.7 seconds.", "videos": ["dataset/kubric_data/scene_766/cam1.mp4", "dataset/kubric_data/scene_766/cam0.mp4", "dataset/kubric_data/scene_766/cam2.mp4"], "video_ranges": [[1.8, 4.8], [1.4, 4.4], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_767/cam2.mp4", "dataset/kubric_data/scene_767/cam1.mp4", "dataset/kubric_data/scene_767/cam0.mp4"], "video_ranges": [[1.4, 4.4], [0.7, 3.7], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_768/cam1.mp4", "dataset/kubric_data/scene_768/cam2.mp4", "dataset/kubric_data/scene_768/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.6, 4.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at -1.3 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_769/cam1.mp4", "dataset/kubric_data/scene_769/cam2.mp4", "dataset/kubric_data/scene_769/cam0.mp4"], "video_ranges": [[1.5, 4.5], [0.2, 3.2], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -0.7 seconds."], "answer": "D) Video 2 starts at -1.3 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_770/cam1.mp4", "dataset/kubric_data/scene_770/cam2.mp4", "dataset/kubric_data/scene_770/cam0.mp4"], "video_ranges": [[1.7, 4.7], [0.3, 3.3], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.5 seconds.", "B) Video 2 starts at +0.0 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_771/cam2.mp4", "dataset/kubric_data/scene_771/cam0.mp4", "dataset/kubric_data/scene_771/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.8, 4.8], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_772/cam1.mp4", "dataset/kubric_data/scene_772/cam2.mp4", "dataset/kubric_data/scene_772/cam0.mp4"], "video_ranges": [[0.3, 3.3], [0.6, 3.6], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.0 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_773/cam2.mp4", "dataset/kubric_data/scene_773/cam1.mp4", "dataset/kubric_data/scene_773/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.1, 4.1], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_774/cam1.mp4", "dataset/kubric_data/scene_774/cam2.mp4", "dataset/kubric_data/scene_774/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.2, 4.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_775/cam0.mp4", "dataset/kubric_data/scene_775/cam2.mp4", "dataset/kubric_data/scene_775/cam1.mp4"], "video_ranges": [[1.9, 4.9], [1.3, 4.3], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_776/cam1.mp4", "dataset/kubric_data/scene_776/cam0.mp4", "dataset/kubric_data/scene_776/cam2.mp4"], "video_ranges": [[1.1, 4.1], [1.4, 4.4], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_777/cam1.mp4", "dataset/kubric_data/scene_777/cam2.mp4", "dataset/kubric_data/scene_777/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.8, 3.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_778/cam1.mp4", "dataset/kubric_data/scene_778/cam2.mp4", "dataset/kubric_data/scene_778/cam0.mp4"], "video_ranges": [[1.2, 4.2], [1.3, 4.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.7 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +1.7 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +2.0 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.7 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_779/cam2.mp4", "dataset/kubric_data/scene_779/cam0.mp4", "dataset/kubric_data/scene_779/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.3, 3.3], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_780/cam2.mp4", "dataset/kubric_data/scene_780/cam1.mp4", "dataset/kubric_data/scene_780/cam0.mp4"], "video_ranges": [[1.6, 4.6], [0.8, 3.8], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.5 seconds."], "answer": "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_781/cam0.mp4", "dataset/kubric_data/scene_781/cam1.mp4", "dataset/kubric_data/scene_781/cam2.mp4"], "video_ranges": [[1.1, 4.1], [1.6, 4.6], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_782/cam0.mp4", "dataset/kubric_data/scene_782/cam2.mp4", "dataset/kubric_data/scene_782/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.3, 4.3], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -1.1 seconds."], "answer": "C) Video 2 starts at -0.9 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_783/cam2.mp4", "dataset/kubric_data/scene_783/cam0.mp4", "dataset/kubric_data/scene_783/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.6, 3.6], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -1.3 seconds."], "answer": "D) Video 2 starts at -1.1 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_784/cam0.mp4", "dataset/kubric_data/scene_784/cam2.mp4", "dataset/kubric_data/scene_784/cam1.mp4"], "video_ranges": [[1.8, 4.8], [0.8, 3.8], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -1.2 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_785/cam2.mp4", "dataset/kubric_data/scene_785/cam1.mp4", "dataset/kubric_data/scene_785/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.0, 3.0], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at -0.0 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.3 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_786/cam1.mp4", "dataset/kubric_data/scene_786/cam0.mp4", "dataset/kubric_data/scene_786/cam2.mp4"], "video_ranges": [[0.7, 3.7], [1.2, 4.2], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_787/cam0.mp4", "dataset/kubric_data/scene_787/cam2.mp4", "dataset/kubric_data/scene_787/cam1.mp4"], "video_ranges": [[1.1, 4.1], [1.8, 4.8], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_788/cam1.mp4", "dataset/kubric_data/scene_788/cam2.mp4", "dataset/kubric_data/scene_788/cam0.mp4"], "video_ranges": [[0.9, 3.9], [0.2, 3.2], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_789/cam2.mp4", "dataset/kubric_data/scene_789/cam1.mp4", "dataset/kubric_data/scene_789/cam0.mp4"], "video_ranges": [[0.9, 3.9], [1.8, 4.8], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +1.4 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +1.8 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_790/cam0.mp4", "dataset/kubric_data/scene_790/cam1.mp4", "dataset/kubric_data/scene_790/cam2.mp4"], "video_ranges": [[0.5, 3.5], [0.3, 3.3], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_791/cam2.mp4", "dataset/kubric_data/scene_791/cam1.mp4", "dataset/kubric_data/scene_791/cam0.mp4"], "video_ranges": [[1.1, 4.1], [1.3, 4.3], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.8 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_792/cam2.mp4", "dataset/kubric_data/scene_792/cam0.mp4", "dataset/kubric_data/scene_792/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.9, 4.9], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_793/cam2.mp4", "dataset/kubric_data/scene_793/cam0.mp4", "dataset/kubric_data/scene_793/cam1.mp4"], "video_ranges": [[1.3, 4.3], [2.0, 5.0], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_794/cam0.mp4", "dataset/kubric_data/scene_794/cam1.mp4", "dataset/kubric_data/scene_794/cam2.mp4"], "video_ranges": [[0.7, 3.7], [0.9, 3.9], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds."], "answer": "A) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_795/cam0.mp4", "dataset/kubric_data/scene_795/cam2.mp4", "dataset/kubric_data/scene_795/cam1.mp4"], "video_ranges": [[0.7, 3.7], [1.6, 4.6], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +1.4 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -1.4 seconds."], "answer": "D) Video 2 starts at -0.6 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_796/cam0.mp4", "dataset/kubric_data/scene_796/cam2.mp4", "dataset/kubric_data/scene_796/cam1.mp4"], "video_ranges": [[1.7, 4.7], [1.1, 4.1], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_797/cam2.mp4", "dataset/kubric_data/scene_797/cam0.mp4", "dataset/kubric_data/scene_797/cam1.mp4"], "video_ranges": [[1.8, 4.8], [0.7, 3.7], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.6 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_798/cam2.mp4", "dataset/kubric_data/scene_798/cam0.mp4", "dataset/kubric_data/scene_798/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.6, 3.6], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_799/cam0.mp4", "dataset/kubric_data/scene_799/cam1.mp4", "dataset/kubric_data/scene_799/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.2, 4.2], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_800/cam1.mp4", "dataset/kubric_data/scene_800/cam0.mp4", "dataset/kubric_data/scene_800/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.9, 3.9], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.0 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_801/cam0.mp4", "dataset/kubric_data/scene_801/cam1.mp4", "dataset/kubric_data/scene_801/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.2, 3.2], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.0 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_802/cam1.mp4", "dataset/kubric_data/scene_802/cam2.mp4", "dataset/kubric_data/scene_802/cam0.mp4"], "video_ranges": [[1.4, 4.4], [1.3, 4.3], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.4 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_803/cam0.mp4", "dataset/kubric_data/scene_803/cam1.mp4", "dataset/kubric_data/scene_803/cam2.mp4"], "video_ranges": [[2.0, 5.0], [1.6, 4.6], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -0.3 seconds."], "answer": "A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_804/cam0.mp4", "dataset/kubric_data/scene_804/cam2.mp4", "dataset/kubric_data/scene_804/cam1.mp4"], "video_ranges": [[2.0, 5.0], [1.3, 4.3], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.9 seconds."], "answer": "A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_805/cam2.mp4", "dataset/kubric_data/scene_805/cam0.mp4", "dataset/kubric_data/scene_805/cam1.mp4"], "video_ranges": [[0.5, 3.5], [1.5, 4.5], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -1.5 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_806/cam0.mp4", "dataset/kubric_data/scene_806/cam1.mp4", "dataset/kubric_data/scene_806/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.9, 3.9], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.7 seconds."], "answer": "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_807/cam2.mp4", "dataset/kubric_data/scene_807/cam1.mp4", "dataset/kubric_data/scene_807/cam0.mp4"], "video_ranges": [[1.1, 4.1], [0.8, 3.8], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_808/cam2.mp4", "dataset/kubric_data/scene_808/cam1.mp4", "dataset/kubric_data/scene_808/cam0.mp4"], "video_ranges": [[0.5, 3.5], [0.4, 3.4], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_809/cam2.mp4", "dataset/kubric_data/scene_809/cam0.mp4", "dataset/kubric_data/scene_809/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.4, 3.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds."], "answer": "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_810/cam2.mp4", "dataset/kubric_data/scene_810/cam1.mp4", "dataset/kubric_data/scene_810/cam0.mp4"], "video_ranges": [[1.4, 4.4], [1.8, 4.8], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_811/cam0.mp4", "dataset/kubric_data/scene_811/cam2.mp4", "dataset/kubric_data/scene_811/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.3, 4.3], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_812/cam0.mp4", "dataset/kubric_data/scene_812/cam2.mp4", "dataset/kubric_data/scene_812/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.4, 4.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.6 seconds; Video 3 starts at +1.2 seconds."], "answer": "A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.6 seconds.", "videos": ["dataset/kubric_data/scene_813/cam2.mp4", "dataset/kubric_data/scene_813/cam0.mp4", "dataset/kubric_data/scene_813/cam1.mp4"], "video_ranges": [[0.1, 3.1], [1.2, 4.2], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.9 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_814/cam1.mp4", "dataset/kubric_data/scene_814/cam0.mp4", "dataset/kubric_data/scene_814/cam2.mp4"], "video_ranges": [[0.3, 3.3], [0.2, 3.2], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.9 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_815/cam0.mp4", "dataset/kubric_data/scene_815/cam1.mp4", "dataset/kubric_data/scene_815/cam2.mp4"], "video_ranges": [[1.0, 4.0], [1.3, 4.3], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +1.8 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -1.8 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +0.1 seconds."], "answer": "D) Video 2 starts at +1.8 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_816/cam2.mp4", "dataset/kubric_data/scene_816/cam0.mp4", "dataset/kubric_data/scene_816/cam1.mp4"], "video_ranges": [[0.0, 3.0], [1.8, 4.8], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.7 seconds."], "answer": "D) Video 2 starts at +0.9 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_817/cam2.mp4", "dataset/kubric_data/scene_817/cam0.mp4", "dataset/kubric_data/scene_817/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.2, 4.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_818/cam0.mp4", "dataset/kubric_data/scene_818/cam2.mp4", "dataset/kubric_data/scene_818/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.9, 3.9], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.3 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_819/cam2.mp4", "dataset/kubric_data/scene_819/cam0.mp4", "dataset/kubric_data/scene_819/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.8, 4.8], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -1.3 seconds."], "answer": "C) Video 2 starts at -1.3 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_820/cam2.mp4", "dataset/kubric_data/scene_820/cam0.mp4", "dataset/kubric_data/scene_820/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.2, 3.2], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -1.7 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -2.1 seconds.", "C) Video 2 starts at -1.7 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.7 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at -1.7 seconds.", "videos": ["dataset/kubric_data/scene_821/cam2.mp4", "dataset/kubric_data/scene_821/cam0.mp4", "dataset/kubric_data/scene_821/cam1.mp4"], "video_ranges": [[2.0, 5.0], [1.9, 4.9], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_822/cam0.mp4", "dataset/kubric_data/scene_822/cam2.mp4", "dataset/kubric_data/scene_822/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.6, 4.6], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_823/cam2.mp4", "dataset/kubric_data/scene_823/cam0.mp4", "dataset/kubric_data/scene_823/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.1, 4.1], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.6 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.6 seconds."], "answer": "A) Video 2 starts at +1.6 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_824/cam1.mp4", "dataset/kubric_data/scene_824/cam0.mp4", "dataset/kubric_data/scene_824/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.8, 4.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at +1.1 seconds."], "answer": "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_825/cam1.mp4", "dataset/kubric_data/scene_825/cam0.mp4", "dataset/kubric_data/scene_825/cam2.mp4"], "video_ranges": [[1.2, 4.2], [0.0, 3.0], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_826/cam1.mp4", "dataset/kubric_data/scene_826/cam2.mp4", "dataset/kubric_data/scene_826/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.6, 4.6], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +1.5 seconds.", "B) Video 2 starts at -1.5 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at +0.5 seconds."], "answer": "D) Video 2 starts at +1.5 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_827/cam1.mp4", "dataset/kubric_data/scene_827/cam2.mp4", "dataset/kubric_data/scene_827/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.7, 4.7], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_828/cam1.mp4", "dataset/kubric_data/scene_828/cam0.mp4", "dataset/kubric_data/scene_828/cam2.mp4"], "video_ranges": [[1.1, 4.1], [1.7, 4.7], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.4 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_829/cam0.mp4", "dataset/kubric_data/scene_829/cam1.mp4", "dataset/kubric_data/scene_829/cam2.mp4"], "video_ranges": [[0.6, 3.6], [0.8, 3.8], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_830/cam0.mp4", "dataset/kubric_data/scene_830/cam2.mp4", "dataset/kubric_data/scene_830/cam1.mp4"], "video_ranges": [[0.6, 3.6], [0.9, 3.9], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_831/cam2.mp4", "dataset/kubric_data/scene_831/cam1.mp4", "dataset/kubric_data/scene_831/cam0.mp4"], "video_ranges": [[0.5, 3.5], [1.8, 4.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +1.5 seconds."], "answer": "C) Video 2 starts at -0.9 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_832/cam0.mp4", "dataset/kubric_data/scene_832/cam1.mp4", "dataset/kubric_data/scene_832/cam2.mp4"], "video_ranges": [[0.9, 3.9], [0.0, 3.0], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.4 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_833/cam1.mp4", "dataset/kubric_data/scene_833/cam0.mp4", "dataset/kubric_data/scene_833/cam2.mp4"], "video_ranges": [[0.9, 3.9], [0.8, 3.8], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.5 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +1.5 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at +0.1 seconds."], "answer": "A) Video 2 starts at -1.5 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_834/cam1.mp4", "dataset/kubric_data/scene_834/cam2.mp4", "dataset/kubric_data/scene_834/cam0.mp4"], "video_ranges": [[1.9, 4.9], [0.4, 3.4], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.3 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +1.7 seconds."], "answer": "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_835/cam0.mp4", "dataset/kubric_data/scene_835/cam2.mp4", "dataset/kubric_data/scene_835/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.3, 4.3], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_836/cam1.mp4", "dataset/kubric_data/scene_836/cam2.mp4", "dataset/kubric_data/scene_836/cam0.mp4"], "video_ranges": [[0.3, 3.3], [0.0, 3.0], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_837/cam1.mp4", "dataset/kubric_data/scene_837/cam0.mp4", "dataset/kubric_data/scene_837/cam2.mp4"], "video_ranges": [[1.0, 4.0], [0.6, 3.6], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.1 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_838/cam2.mp4", "dataset/kubric_data/scene_838/cam0.mp4", "dataset/kubric_data/scene_838/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.4, 4.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_839/cam0.mp4", "dataset/kubric_data/scene_839/cam2.mp4", "dataset/kubric_data/scene_839/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.9, 4.9], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at -1.1 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_840/cam1.mp4", "dataset/kubric_data/scene_840/cam0.mp4", "dataset/kubric_data/scene_840/cam2.mp4"], "video_ranges": [[1.2, 4.2], [2.0, 5.0], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.3 seconds."], "answer": "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_841/cam0.mp4", "dataset/kubric_data/scene_841/cam2.mp4", "dataset/kubric_data/scene_841/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.5, 4.5], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_842/cam0.mp4", "dataset/kubric_data/scene_842/cam2.mp4", "dataset/kubric_data/scene_842/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.2, 4.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -2.0 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at -1.6 seconds."], "answer": "D) Video 2 starts at -1.4 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_843/cam1.mp4", "dataset/kubric_data/scene_843/cam0.mp4", "dataset/kubric_data/scene_843/cam2.mp4"], "video_ranges": [[1.8, 4.8], [0.3, 3.3], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.1 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_844/cam0.mp4", "dataset/kubric_data/scene_844/cam2.mp4", "dataset/kubric_data/scene_844/cam1.mp4"], "video_ranges": [[1.3, 4.3], [0.2, 3.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +1.2 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_845/cam1.mp4", "dataset/kubric_data/scene_845/cam0.mp4", "dataset/kubric_data/scene_845/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.8, 4.8], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds."], "answer": "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_846/cam1.mp4", "dataset/kubric_data/scene_846/cam2.mp4", "dataset/kubric_data/scene_846/cam0.mp4"], "video_ranges": [[1.1, 4.1], [0.0, 3.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_847/cam2.mp4", "dataset/kubric_data/scene_847/cam1.mp4", "dataset/kubric_data/scene_847/cam0.mp4"], "video_ranges": [[0.0, 3.0], [1.3, 4.3], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_848/cam0.mp4", "dataset/kubric_data/scene_848/cam1.mp4", "dataset/kubric_data/scene_848/cam2.mp4"], "video_ranges": [[1.0, 4.0], [0.8, 3.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.6 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at -1.8 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +1.6 seconds; Video 3 starts at +1.0 seconds."], "answer": "A) Video 2 starts at -1.6 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_849/cam2.mp4", "dataset/kubric_data/scene_849/cam0.mp4", "dataset/kubric_data/scene_849/cam1.mp4"], "video_ranges": [[2.0, 5.0], [0.4, 3.4], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.5 seconds."], "answer": "D) Video 2 starts at +1.2 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_850/cam0.mp4", "dataset/kubric_data/scene_850/cam2.mp4", "dataset/kubric_data/scene_850/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.4, 4.4], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_851/cam1.mp4", "dataset/kubric_data/scene_851/cam0.mp4", "dataset/kubric_data/scene_851/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.5, 3.5], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.8 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at -1.9 seconds; Video 3 starts at -1.9 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -1.8 seconds.", "D) Video 2 starts at +1.8 seconds; Video 3 starts at +1.6 seconds."], "answer": "A) Video 2 starts at -1.8 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_852/cam0.mp4", "dataset/kubric_data/scene_852/cam1.mp4", "dataset/kubric_data/scene_852/cam2.mp4"], "video_ranges": [[1.9, 4.9], [0.2, 3.2], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.8 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -0.6 seconds."], "answer": "C) Video 2 starts at +1.6 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_853/cam2.mp4", "dataset/kubric_data/scene_853/cam1.mp4", "dataset/kubric_data/scene_853/cam0.mp4"], "video_ranges": [[0.1, 3.1], [1.7, 4.7], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at -0.8 seconds."], "answer": "D) Video 2 starts at +0.6 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_854/cam2.mp4", "dataset/kubric_data/scene_854/cam0.mp4", "dataset/kubric_data/scene_854/cam1.mp4"], "video_ranges": [[1.2, 4.2], [1.8, 4.8], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -0.9 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.2 seconds."], "answer": "A) Video 2 starts at +0.4 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_855/cam1.mp4", "dataset/kubric_data/scene_855/cam2.mp4", "dataset/kubric_data/scene_855/cam0.mp4"], "video_ranges": [[0.4, 3.4], [0.8, 3.8], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -1.3 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_856/cam0.mp4", "dataset/kubric_data/scene_856/cam1.mp4", "dataset/kubric_data/scene_856/cam2.mp4"], "video_ranges": [[0.1, 3.1], [0.4, 3.4], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at +0.0 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_857/cam1.mp4", "dataset/kubric_data/scene_857/cam0.mp4", "dataset/kubric_data/scene_857/cam2.mp4"], "video_ranges": [[1.0, 4.0], [0.8, 3.8], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_858/cam0.mp4", "dataset/kubric_data/scene_858/cam2.mp4", "dataset/kubric_data/scene_858/cam1.mp4"], "video_ranges": [[0.9, 3.9], [1.4, 4.4], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_859/cam2.mp4", "dataset/kubric_data/scene_859/cam0.mp4", "dataset/kubric_data/scene_859/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.7, 4.7], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.3 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.3 seconds.", "videos": ["dataset/kubric_data/scene_860/cam2.mp4", "dataset/kubric_data/scene_860/cam1.mp4", "dataset/kubric_data/scene_860/cam0.mp4"], "video_ranges": [[0.4, 3.4], [1.2, 4.2], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_861/cam0.mp4", "dataset/kubric_data/scene_861/cam2.mp4", "dataset/kubric_data/scene_861/cam1.mp4"], "video_ranges": [[1.7, 4.7], [0.5, 3.5], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.9 seconds."], "answer": "C) Video 2 starts at -1.0 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_862/cam0.mp4", "dataset/kubric_data/scene_862/cam1.mp4", "dataset/kubric_data/scene_862/cam2.mp4"], "video_ranges": [[2.0, 5.0], [1.0, 4.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.6 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at -2.0 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_863/cam1.mp4", "dataset/kubric_data/scene_863/cam0.mp4", "dataset/kubric_data/scene_863/cam2.mp4"], "video_ranges": [[1.8, 4.8], [1.5, 4.5], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_864/cam2.mp4", "dataset/kubric_data/scene_864/cam0.mp4", "dataset/kubric_data/scene_864/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.7, 3.7], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.8 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_865/cam1.mp4", "dataset/kubric_data/scene_865/cam0.mp4", "dataset/kubric_data/scene_865/cam2.mp4"], "video_ranges": [[1.5, 4.5], [0.8, 3.8], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at +1.9 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at +1.6 seconds; Video 3 starts at +0.7 seconds."], "answer": "C) Video 2 starts at +0.7 seconds; Video 3 starts at +1.6 seconds.", "videos": ["dataset/kubric_data/scene_866/cam0.mp4", "dataset/kubric_data/scene_866/cam2.mp4", "dataset/kubric_data/scene_866/cam1.mp4"], "video_ranges": [[0.1, 3.1], [0.8, 3.8], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_867/cam2.mp4", "dataset/kubric_data/scene_867/cam1.mp4", "dataset/kubric_data/scene_867/cam0.mp4"], "video_ranges": [[1.2, 4.2], [1.9, 4.9], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.0 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.1 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_868/cam1.mp4", "dataset/kubric_data/scene_868/cam2.mp4", "dataset/kubric_data/scene_868/cam0.mp4"], "video_ranges": [[1.5, 4.5], [1.3, 4.3], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -1.5 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at -1.5 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_869/cam2.mp4", "dataset/kubric_data/scene_869/cam1.mp4", "dataset/kubric_data/scene_869/cam0.mp4"], "video_ranges": [[1.7, 4.7], [0.2, 3.2], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.0 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_870/cam0.mp4", "dataset/kubric_data/scene_870/cam1.mp4", "dataset/kubric_data/scene_870/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.6, 4.6], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.3 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at +0.5 seconds."], "answer": "A) Video 2 starts at +1.3 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_871/cam2.mp4", "dataset/kubric_data/scene_871/cam1.mp4", "dataset/kubric_data/scene_871/cam0.mp4"], "video_ranges": [[0.3, 3.3], [1.7, 4.7], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds."], "answer": "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_872/cam0.mp4", "dataset/kubric_data/scene_872/cam1.mp4", "dataset/kubric_data/scene_872/cam2.mp4"], "video_ranges": [[0.9, 3.9], [1.0, 4.0], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.5 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +0.0 seconds.", "D) Video 2 starts at +1.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +1.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_873/cam0.mp4", "dataset/kubric_data/scene_873/cam2.mp4", "dataset/kubric_data/scene_873/cam1.mp4"], "video_ranges": [[0.4, 3.4], [1.9, 4.9], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.0 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.6 seconds."], "answer": "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_874/cam2.mp4", "dataset/kubric_data/scene_874/cam0.mp4", "dataset/kubric_data/scene_874/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.7, 4.7], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_875/cam2.mp4", "dataset/kubric_data/scene_875/cam0.mp4", "dataset/kubric_data/scene_875/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.5, 4.5], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.8 seconds."], "answer": "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_876/cam2.mp4", "dataset/kubric_data/scene_876/cam0.mp4", "dataset/kubric_data/scene_876/cam1.mp4"], "video_ranges": [[1.6, 4.6], [0.8, 3.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.8 seconds."], "answer": "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_877/cam2.mp4", "dataset/kubric_data/scene_877/cam0.mp4", "dataset/kubric_data/scene_877/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.8, 4.8], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_878/cam1.mp4", "dataset/kubric_data/scene_878/cam2.mp4", "dataset/kubric_data/scene_878/cam0.mp4"], "video_ranges": [[0.5, 3.5], [0.3, 3.3], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_879/cam1.mp4", "dataset/kubric_data/scene_879/cam0.mp4", "dataset/kubric_data/scene_879/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.8, 3.8], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at +0.0 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.4 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_880/cam2.mp4", "dataset/kubric_data/scene_880/cam1.mp4", "dataset/kubric_data/scene_880/cam0.mp4"], "video_ranges": [[0.5, 3.5], [0.8, 3.8], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.1 seconds."], "answer": "A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_881/cam2.mp4", "dataset/kubric_data/scene_881/cam0.mp4", "dataset/kubric_data/scene_881/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.2, 4.2], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_882/cam0.mp4", "dataset/kubric_data/scene_882/cam1.mp4", "dataset/kubric_data/scene_882/cam2.mp4"], "video_ranges": [[0.4, 3.4], [0.2, 3.2], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +1.9 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.5 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.5 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_883/cam2.mp4", "dataset/kubric_data/scene_883/cam1.mp4", "dataset/kubric_data/scene_883/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.3, 3.3], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.6 seconds."], "answer": "A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_884/cam1.mp4", "dataset/kubric_data/scene_884/cam2.mp4", "dataset/kubric_data/scene_884/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.1, 3.1], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at +0.3 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_885/cam1.mp4", "dataset/kubric_data/scene_885/cam0.mp4", "dataset/kubric_data/scene_885/cam2.mp4"], "video_ranges": [[1.7, 4.7], [2.0, 5.0], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +1.4 seconds."], "answer": "A) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_886/cam1.mp4", "dataset/kubric_data/scene_886/cam2.mp4", "dataset/kubric_data/scene_886/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.4, 4.4], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.0 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_887/cam2.mp4", "dataset/kubric_data/scene_887/cam0.mp4", "dataset/kubric_data/scene_887/cam1.mp4"], "video_ranges": [[1.8, 4.8], [0.8, 3.8], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +1.1 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_888/cam2.mp4", "dataset/kubric_data/scene_888/cam0.mp4", "dataset/kubric_data/scene_888/cam1.mp4"], "video_ranges": [[1.0, 4.0], [0.2, 3.2], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_889/cam0.mp4", "dataset/kubric_data/scene_889/cam1.mp4", "dataset/kubric_data/scene_889/cam2.mp4"], "video_ranges": [[0.8, 3.8], [0.9, 3.9], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_890/cam0.mp4", "dataset/kubric_data/scene_890/cam1.mp4", "dataset/kubric_data/scene_890/cam2.mp4"], "video_ranges": [[0.6, 3.6], [0.3, 3.3], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_891/cam0.mp4", "dataset/kubric_data/scene_891/cam1.mp4", "dataset/kubric_data/scene_891/cam2.mp4"], "video_ranges": [[1.9, 4.9], [1.8, 4.8], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.9 seconds."], "answer": "A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_892/cam0.mp4", "dataset/kubric_data/scene_892/cam2.mp4", "dataset/kubric_data/scene_892/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.4, 3.4], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_893/cam2.mp4", "dataset/kubric_data/scene_893/cam0.mp4", "dataset/kubric_data/scene_893/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.1, 4.1], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at +0.7 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_894/cam0.mp4", "dataset/kubric_data/scene_894/cam1.mp4", "dataset/kubric_data/scene_894/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.4, 4.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.9 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +1.0 seconds."], "answer": "D) Video 2 starts at +0.9 seconds; Video 3 starts at +1.0 seconds.", "videos": ["dataset/kubric_data/scene_895/cam2.mp4", "dataset/kubric_data/scene_895/cam0.mp4", "dataset/kubric_data/scene_895/cam1.mp4"], "video_ranges": [[0.5, 3.5], [1.4, 4.4], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_896/cam0.mp4", "dataset/kubric_data/scene_896/cam2.mp4", "dataset/kubric_data/scene_896/cam1.mp4"], "video_ranges": [[1.4, 4.4], [0.9, 3.9], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at +0.9 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at -0.9 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.9 seconds."], "answer": "C) Video 2 starts at -0.9 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_897/cam2.mp4", "dataset/kubric_data/scene_897/cam1.mp4", "dataset/kubric_data/scene_897/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.4, 3.4], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_898/cam1.mp4", "dataset/kubric_data/scene_898/cam0.mp4", "dataset/kubric_data/scene_898/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.7, 3.7], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_899/cam0.mp4", "dataset/kubric_data/scene_899/cam2.mp4", "dataset/kubric_data/scene_899/cam1.mp4"], "video_ranges": [[0.9, 3.9], [0.3, 3.3], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.2 seconds."], "answer": "B) Video 2 starts at +1.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_900/cam2.mp4", "dataset/kubric_data/scene_900/cam1.mp4", "dataset/kubric_data/scene_900/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.9, 4.9], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.4 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at -0.4 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_901/cam2.mp4", "dataset/kubric_data/scene_901/cam1.mp4", "dataset/kubric_data/scene_901/cam0.mp4"], "video_ranges": [[1.7, 4.7], [1.2, 4.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at +1.1 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_902/cam2.mp4", "dataset/kubric_data/scene_902/cam0.mp4", "dataset/kubric_data/scene_902/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.1, 4.1], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -1.0 seconds."], "answer": "C) Video 2 starts at +0.6 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_903/cam0.mp4", "dataset/kubric_data/scene_903/cam1.mp4", "dataset/kubric_data/scene_903/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.8, 4.8], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_904/cam1.mp4", "dataset/kubric_data/scene_904/cam0.mp4", "dataset/kubric_data/scene_904/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.6, 4.6], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.9 seconds."], "answer": "A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_905/cam2.mp4", "dataset/kubric_data/scene_905/cam1.mp4", "dataset/kubric_data/scene_905/cam0.mp4"], "video_ranges": [[0.3, 3.3], [1.6, 4.6], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_906/cam1.mp4", "dataset/kubric_data/scene_906/cam0.mp4", "dataset/kubric_data/scene_906/cam2.mp4"], "video_ranges": [[1.5, 4.5], [1.2, 4.2], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_907/cam0.mp4", "dataset/kubric_data/scene_907/cam2.mp4", "dataset/kubric_data/scene_907/cam1.mp4"], "video_ranges": [[1.4, 4.4], [2.0, 5.0], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at -0.6 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_908/cam0.mp4", "dataset/kubric_data/scene_908/cam2.mp4", "dataset/kubric_data/scene_908/cam1.mp4"], "video_ranges": [[2.0, 5.0], [1.4, 4.4], [1.9, 4.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -1.6 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.2 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_909/cam2.mp4", "dataset/kubric_data/scene_909/cam0.mp4", "dataset/kubric_data/scene_909/cam1.mp4"], "video_ranges": [[1.8, 4.8], [2.0, 5.0], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.1 seconds."], "answer": "B) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_910/cam2.mp4", "dataset/kubric_data/scene_910/cam1.mp4", "dataset/kubric_data/scene_910/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.8, 4.8], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.9 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.6 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "videos": ["dataset/kubric_data/scene_911/cam0.mp4", "dataset/kubric_data/scene_911/cam1.mp4", "dataset/kubric_data/scene_911/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.3, 3.3], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +1.0 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -1.4 seconds."], "answer": "C) Video 2 starts at -1.2 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_912/cam2.mp4", "dataset/kubric_data/scene_912/cam1.mp4", "dataset/kubric_data/scene_912/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.1, 3.1], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_913/cam2.mp4", "dataset/kubric_data/scene_913/cam1.mp4", "dataset/kubric_data/scene_913/cam0.mp4"], "video_ranges": [[0.7, 3.7], [0.2, 3.2], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_914/cam0.mp4", "dataset/kubric_data/scene_914/cam1.mp4", "dataset/kubric_data/scene_914/cam2.mp4"], "video_ranges": [[0.6, 3.6], [1.1, 4.1], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -0.5 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_915/cam2.mp4", "dataset/kubric_data/scene_915/cam1.mp4", "dataset/kubric_data/scene_915/cam0.mp4"], "video_ranges": [[1.2, 4.2], [0.4, 3.4], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -0.8 seconds."], "answer": "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_916/cam1.mp4", "dataset/kubric_data/scene_916/cam2.mp4", "dataset/kubric_data/scene_916/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.2, 3.2], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.9 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at +0.9 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.9 seconds.", "videos": ["dataset/kubric_data/scene_917/cam2.mp4", "dataset/kubric_data/scene_917/cam1.mp4", "dataset/kubric_data/scene_917/cam0.mp4"], "video_ranges": [[1.2, 4.2], [2.0, 5.0], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.4 seconds."], "answer": "D) Video 2 starts at -0.7 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_918/cam1.mp4", "dataset/kubric_data/scene_918/cam0.mp4", "dataset/kubric_data/scene_918/cam2.mp4"], "video_ranges": [[1.9, 4.9], [1.2, 4.2], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.5 seconds."], "answer": "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_919/cam2.mp4", "dataset/kubric_data/scene_919/cam1.mp4", "dataset/kubric_data/scene_919/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.5, 3.5], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_920/cam1.mp4", "dataset/kubric_data/scene_920/cam0.mp4", "dataset/kubric_data/scene_920/cam2.mp4"], "video_ranges": [[1.2, 4.2], [1.5, 4.5], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.6 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.7 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_921/cam1.mp4", "dataset/kubric_data/scene_921/cam2.mp4", "dataset/kubric_data/scene_921/cam0.mp4"], "video_ranges": [[1.1, 4.1], [1.8, 4.8], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.4 seconds."], "answer": "A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_922/cam0.mp4", "dataset/kubric_data/scene_922/cam1.mp4", "dataset/kubric_data/scene_922/cam2.mp4"], "video_ranges": [[0.5, 3.5], [0.1, 3.1], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_923/cam2.mp4", "dataset/kubric_data/scene_923/cam0.mp4", "dataset/kubric_data/scene_923/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.7, 4.7], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.4 seconds; Video 3 starts at +0.0 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at +0.0 seconds."], "answer": "B) Video 2 starts at -0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_924/cam0.mp4", "dataset/kubric_data/scene_924/cam1.mp4", "dataset/kubric_data/scene_924/cam2.mp4"], "video_ranges": [[0.4, 3.4], [0.2, 3.2], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds."], "answer": "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_925/cam2.mp4", "dataset/kubric_data/scene_925/cam1.mp4", "dataset/kubric_data/scene_925/cam0.mp4"], "video_ranges": [[0.0, 3.0], [1.1, 4.1], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_926/cam1.mp4", "dataset/kubric_data/scene_926/cam2.mp4", "dataset/kubric_data/scene_926/cam0.mp4"], "video_ranges": [[1.0, 4.0], [1.8, 4.8], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.1 seconds; Video 3 starts at +1.4 seconds.", "B) Video 2 starts at +1.8 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -1.8 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.8 seconds."], "answer": "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.8 seconds.", "videos": ["dataset/kubric_data/scene_927/cam2.mp4", "dataset/kubric_data/scene_927/cam0.mp4", "dataset/kubric_data/scene_927/cam1.mp4"], "video_ranges": [[0.0, 3.0], [1.3, 4.3], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -1.3 seconds; Video 3 starts at -1.0 seconds."], "answer": "C) Video 2 starts at -1.1 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_928/cam2.mp4", "dataset/kubric_data/scene_928/cam0.mp4", "dataset/kubric_data/scene_928/cam1.mp4"], "video_ranges": [[1.5, 4.5], [0.4, 3.4], [0.9, 3.9]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at -0.5 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_929/cam0.mp4", "dataset/kubric_data/scene_929/cam1.mp4", "dataset/kubric_data/scene_929/cam2.mp4"], "video_ranges": [[0.6, 3.6], [0.1, 3.1], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.1 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_930/cam2.mp4", "dataset/kubric_data/scene_930/cam0.mp4", "dataset/kubric_data/scene_930/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.7, 4.7], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_931/cam2.mp4", "dataset/kubric_data/scene_931/cam0.mp4", "dataset/kubric_data/scene_931/cam1.mp4"], "video_ranges": [[1.5, 4.5], [1.2, 4.2], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.7 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.5 seconds; Video 3 starts at -1.2 seconds."], "answer": "C) Video 2 starts at +1.5 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_932/cam2.mp4", "dataset/kubric_data/scene_932/cam1.mp4", "dataset/kubric_data/scene_932/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.8, 4.8], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at +0.5 seconds; Video 3 starts at -1.2 seconds."], "answer": "D) Video 2 starts at +0.5 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_933/cam0.mp4", "dataset/kubric_data/scene_933/cam2.mp4", "dataset/kubric_data/scene_933/cam1.mp4"], "video_ranges": [[1.4, 4.4], [1.9, 4.9], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.3 seconds."], "answer": "B) Video 2 starts at +1.3 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_934/cam0.mp4", "dataset/kubric_data/scene_934/cam1.mp4", "dataset/kubric_data/scene_934/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.5, 4.5], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at -0.0 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.3 seconds."], "answer": "D) Video 2 starts at +0.7 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_935/cam0.mp4", "dataset/kubric_data/scene_935/cam1.mp4", "dataset/kubric_data/scene_935/cam2.mp4"], "video_ranges": [[1.0, 4.0], [1.7, 4.7], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at -0.6 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_936/cam2.mp4", "dataset/kubric_data/scene_936/cam1.mp4", "dataset/kubric_data/scene_936/cam0.mp4"], "video_ranges": [[0.6, 3.6], [0.0, 3.0], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -1.2 seconds."], "answer": "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_937/cam0.mp4", "dataset/kubric_data/scene_937/cam1.mp4", "dataset/kubric_data/scene_937/cam2.mp4"], "video_ranges": [[1.4, 4.4], [0.2, 3.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds."], "answer": "B) Video 2 starts at +1.0 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_938/cam2.mp4", "dataset/kubric_data/scene_938/cam0.mp4", "dataset/kubric_data/scene_938/cam1.mp4"], "video_ranges": [[0.6, 3.6], [1.6, 4.6], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.0 seconds.", "B) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -1.0 seconds; Video 3 starts at -0.8 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +1.0 seconds."], "answer": "A) Video 2 starts at -0.8 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_939/cam0.mp4", "dataset/kubric_data/scene_939/cam2.mp4", "dataset/kubric_data/scene_939/cam1.mp4"], "video_ranges": [[2.0, 5.0], [1.2, 4.2], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -0.9 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.7 seconds."], "answer": "A) Video 2 starts at -0.7 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_940/cam0.mp4", "dataset/kubric_data/scene_940/cam2.mp4", "dataset/kubric_data/scene_940/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.6, 3.6], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at +0.7 seconds; Video 3 starts at -1.2 seconds."], "answer": "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_941/cam0.mp4", "dataset/kubric_data/scene_941/cam1.mp4", "dataset/kubric_data/scene_941/cam2.mp4"], "video_ranges": [[1.3, 4.3], [0.1, 3.1], [2.0, 5.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.9 seconds.", "B) Video 2 starts at +1.9 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at -1.9 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +2.0 seconds; Video 3 starts at +0.6 seconds."], "answer": "B) Video 2 starts at +1.9 seconds; Video 3 starts at +0.3 seconds.", "videos": ["dataset/kubric_data/scene_942/cam1.mp4", "dataset/kubric_data/scene_942/cam2.mp4", "dataset/kubric_data/scene_942/cam0.mp4"], "video_ranges": [[0.1, 3.1], [2.0, 5.0], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds.", "C) Video 2 starts at +0.7 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +0.3 seconds."], "answer": "A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.7 seconds.", "videos": ["dataset/kubric_data/scene_943/cam0.mp4", "dataset/kubric_data/scene_943/cam2.mp4", "dataset/kubric_data/scene_943/cam1.mp4"], "video_ranges": [[0.5, 3.5], [1.0, 4.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at -0.2 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_944/cam2.mp4", "dataset/kubric_data/scene_944/cam0.mp4", "dataset/kubric_data/scene_944/cam1.mp4"], "video_ranges": [[0.6, 3.6], [0.3, 3.3], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at -1.2 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at -0.3 seconds."], "answer": "A) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_945/cam2.mp4", "dataset/kubric_data/scene_945/cam1.mp4", "dataset/kubric_data/scene_945/cam0.mp4"], "video_ranges": [[1.4, 4.4], [0.2, 3.2], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.0 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_946/cam2.mp4", "dataset/kubric_data/scene_946/cam1.mp4", "dataset/kubric_data/scene_946/cam0.mp4"], "video_ranges": [[1.6, 4.6], [1.7, 4.7], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds."], "answer": "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_947/cam0.mp4", "dataset/kubric_data/scene_947/cam2.mp4", "dataset/kubric_data/scene_947/cam1.mp4"], "video_ranges": [[1.2, 4.2], [1.3, 4.3], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_948/cam0.mp4", "dataset/kubric_data/scene_948/cam2.mp4", "dataset/kubric_data/scene_948/cam1.mp4"], "video_ranges": [[0.1, 3.1], [0.4, 3.4], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.8 seconds; Video 3 starts at +1.4 seconds.", "B) Video 2 starts at -1.8 seconds; Video 3 starts at -1.4 seconds.", "C) Video 2 starts at +1.4 seconds; Video 3 starts at +1.8 seconds.", "D) Video 2 starts at +1.9 seconds; Video 3 starts at +1.7 seconds."], "answer": "A) Video 2 starts at +1.8 seconds; Video 3 starts at +1.4 seconds.", "videos": ["dataset/kubric_data/scene_949/cam1.mp4", "dataset/kubric_data/scene_949/cam0.mp4", "dataset/kubric_data/scene_949/cam2.mp4"], "video_ranges": [[0.2, 3.2], [2.0, 5.0], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.6 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.6 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at +0.6 seconds."], "answer": "C) Video 2 starts at -0.8 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_950/cam2.mp4", "dataset/kubric_data/scene_950/cam1.mp4", "dataset/kubric_data/scene_950/cam0.mp4"], "video_ranges": [[1.6, 4.6], [0.8, 3.8], [1.0, 4.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.2 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.2 seconds.", "videos": ["dataset/kubric_data/scene_951/cam1.mp4", "dataset/kubric_data/scene_951/cam2.mp4", "dataset/kubric_data/scene_951/cam0.mp4"], "video_ranges": [[1.5, 4.5], [0.6, 3.6], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +1.1 seconds.", "B) Video 2 starts at -1.4 seconds; Video 3 starts at -1.1 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +1.4 seconds."], "answer": "A) Video 2 starts at +1.4 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_952/cam1.mp4", "dataset/kubric_data/scene_952/cam0.mp4", "dataset/kubric_data/scene_952/cam2.mp4"], "video_ranges": [[0.2, 3.2], [1.6, 4.6], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.5 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at -1.6 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -1.6 seconds."], "answer": "B) Video 2 starts at -1.6 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_953/cam0.mp4", "dataset/kubric_data/scene_953/cam2.mp4", "dataset/kubric_data/scene_953/cam1.mp4"], "video_ranges": [[1.7, 4.7], [0.1, 3.1], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.5 seconds; Video 3 starts at +1.5 seconds.", "B) Video 2 starts at +1.2 seconds; Video 3 starts at -0.4 seconds.", "C) Video 2 starts at +0.4 seconds; Video 3 starts at -1.2 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +1.2 seconds."], "answer": "D) Video 2 starts at -0.4 seconds; Video 3 starts at +1.2 seconds.", "videos": ["dataset/kubric_data/scene_954/cam0.mp4", "dataset/kubric_data/scene_954/cam2.mp4", "dataset/kubric_data/scene_954/cam1.mp4"], "video_ranges": [[0.4, 3.4], [0.0, 3.0], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_955/cam1.mp4", "dataset/kubric_data/scene_955/cam2.mp4", "dataset/kubric_data/scene_955/cam0.mp4"], "video_ranges": [[0.6, 3.6], [1.4, 4.4], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.7 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -2.0 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +1.7 seconds.", "D) Video 2 starts at -1.7 seconds; Video 3 starts at -0.9 seconds."], "answer": "A) Video 2 starts at -0.9 seconds; Video 3 starts at -1.7 seconds.", "videos": ["dataset/kubric_data/scene_956/cam1.mp4", "dataset/kubric_data/scene_956/cam0.mp4", "dataset/kubric_data/scene_956/cam2.mp4"], "video_ranges": [[1.7, 4.7], [0.8, 3.8], [0.0, 3.0]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.7 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at -1.0 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at -0.7 seconds; Video 3 starts at +0.8 seconds."], "answer": "A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.7 seconds.", "videos": ["dataset/kubric_data/scene_957/cam1.mp4", "dataset/kubric_data/scene_957/cam2.mp4", "dataset/kubric_data/scene_957/cam0.mp4"], "video_ranges": [[0.9, 3.9], [1.7, 4.7], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -1.0 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at -1.4 seconds.", "videos": ["dataset/kubric_data/scene_958/cam2.mp4", "dataset/kubric_data/scene_958/cam1.mp4", "dataset/kubric_data/scene_958/cam0.mp4"], "video_ranges": [[1.5, 4.5], [1.8, 4.8], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.2 seconds; Video 3 starts at +2.0 seconds.", "B) Video 2 starts at +1.7 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -1.7 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.7 seconds."], "answer": "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_959/cam2.mp4", "dataset/kubric_data/scene_959/cam1.mp4", "dataset/kubric_data/scene_959/cam0.mp4"], "video_ranges": [[0.0, 3.0], [1.3, 4.3], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -1.4 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at -1.4 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -1.6 seconds."], "answer": "C) Video 2 starts at -1.4 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_960/cam2.mp4", "dataset/kubric_data/scene_960/cam1.mp4", "dataset/kubric_data/scene_960/cam0.mp4"], "video_ranges": [[1.8, 4.8], [0.4, 3.4], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -2.0 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at +1.6 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at +0.3 seconds."], "answer": "B) Video 2 starts at +0.3 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_961/cam1.mp4", "dataset/kubric_data/scene_961/cam2.mp4", "dataset/kubric_data/scene_961/cam0.mp4"], "video_ranges": [[1.7, 4.7], [2.0, 5.0], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at -1.3 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -1.0 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -1.0 seconds.", "videos": ["dataset/kubric_data/scene_962/cam2.mp4", "dataset/kubric_data/scene_962/cam1.mp4", "dataset/kubric_data/scene_962/cam0.mp4"], "video_ranges": [[1.2, 4.2], [2.0, 5.0], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "A) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_963/cam2.mp4", "dataset/kubric_data/scene_963/cam1.mp4", "dataset/kubric_data/scene_963/cam0.mp4"], "video_ranges": [[0.2, 3.2], [0.3, 3.3], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +1.3 seconds.", "B) Video 2 starts at -1.3 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.7 seconds.", "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.3 seconds."], "answer": "D) Video 2 starts at -0.9 seconds; Video 3 starts at -1.3 seconds.", "videos": ["dataset/kubric_data/scene_964/cam1.mp4", "dataset/kubric_data/scene_964/cam2.mp4", "dataset/kubric_data/scene_964/cam0.mp4"], "video_ranges": [[1.6, 4.6], [0.7, 3.7], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at +1.1 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.0 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at +1.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "C) Video 2 starts at +1.0 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_965/cam2.mp4", "dataset/kubric_data/scene_965/cam0.mp4", "dataset/kubric_data/scene_965/cam1.mp4"], "video_ranges": [[0.2, 3.2], [1.2, 4.2], [1.3, 4.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.3 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at +1.5 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.5 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at +1.5 seconds.", "videos": ["dataset/kubric_data/scene_966/cam1.mp4", "dataset/kubric_data/scene_966/cam0.mp4", "dataset/kubric_data/scene_966/cam2.mp4"], "video_ranges": [[0.2, 3.2], [0.3, 3.3], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at -0.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_967/cam1.mp4", "dataset/kubric_data/scene_967/cam2.mp4", "dataset/kubric_data/scene_967/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.3, 3.3], [0.7, 3.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.7 seconds; Video 3 starts at +0.6 seconds.", "B) Video 2 starts at +0.7 seconds; Video 3 starts at -0.6 seconds.", "C) Video 2 starts at -0.6 seconds; Video 3 starts at +0.7 seconds.", "D) Video 2 starts at +0.9 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at +0.7 seconds; Video 3 starts at -0.6 seconds.", "videos": ["dataset/kubric_data/scene_968/cam0.mp4", "dataset/kubric_data/scene_968/cam2.mp4", "dataset/kubric_data/scene_968/cam1.mp4"], "video_ranges": [[0.8, 3.8], [1.4, 4.4], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at +0.3 seconds."], "answer": "C) Video 2 starts at -0.2 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_969/cam2.mp4", "dataset/kubric_data/scene_969/cam1.mp4", "dataset/kubric_data/scene_969/cam0.mp4"], "video_ranges": [[0.4, 3.4], [0.2, 3.2], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at -0.5 seconds; Video 3 starts at +0.2 seconds."], "answer": "C) Video 2 starts at +0.5 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_970/cam0.mp4", "dataset/kubric_data/scene_970/cam2.mp4", "dataset/kubric_data/scene_970/cam1.mp4"], "video_ranges": [[1.0, 4.0], [1.5, 4.5], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -1.7 seconds.", "B) Video 2 starts at +1.7 seconds; Video 3 starts at +1.3 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +2.0 seconds.", "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.7 seconds."], "answer": "D) Video 2 starts at +1.3 seconds; Video 3 starts at +1.7 seconds.", "videos": ["dataset/kubric_data/scene_971/cam1.mp4", "dataset/kubric_data/scene_971/cam2.mp4", "dataset/kubric_data/scene_971/cam0.mp4"], "video_ranges": [[0.2, 3.2], [1.5, 4.5], [1.8, 4.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.8 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.9 seconds.", "C) Video 2 starts at +0.9 seconds; Video 3 starts at +0.8 seconds.", "D) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds."], "answer": "A) Video 2 starts at -0.9 seconds; Video 3 starts at -0.8 seconds.", "videos": ["dataset/kubric_data/scene_972/cam0.mp4", "dataset/kubric_data/scene_972/cam2.mp4", "dataset/kubric_data/scene_972/cam1.mp4"], "video_ranges": [[1.9, 4.9], [1.0, 4.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.4 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.4 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at +0.3 seconds; Video 3 starts at -0.0 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_973/cam0.mp4", "dataset/kubric_data/scene_973/cam2.mp4", "dataset/kubric_data/scene_973/cam1.mp4"], "video_ranges": [[0.6, 3.6], [0.8, 3.8], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -1.1 seconds.", "B) Video 2 starts at -1.1 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at -1.3 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at -0.1 seconds."], "answer": "B) Video 2 starts at -1.1 seconds; Video 3 starts at +0.1 seconds.", "videos": ["dataset/kubric_data/scene_974/cam2.mp4", "dataset/kubric_data/scene_974/cam1.mp4", "dataset/kubric_data/scene_974/cam0.mp4"], "video_ranges": [[1.3, 4.3], [0.2, 3.2], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.4 seconds; Video 3 starts at -0.5 seconds.", "B) Video 2 starts at -1.5 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at -0.1 seconds; Video 3 starts at -1.5 seconds."], "answer": "B) Video 2 starts at -1.5 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_975/cam1.mp4", "dataset/kubric_data/scene_975/cam0.mp4", "dataset/kubric_data/scene_975/cam2.mp4"], "video_ranges": [[1.6, 4.6], [0.1, 3.1], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.3 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at +0.1 seconds.", "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +0.8 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_976/cam0.mp4", "dataset/kubric_data/scene_976/cam1.mp4", "dataset/kubric_data/scene_976/cam2.mp4"], "video_ranges": [[0.3, 3.3], [1.2, 4.2], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.4 seconds.", "B) Video 2 starts at +0.4 seconds; Video 3 starts at -0.3 seconds.", "C) Video 2 starts at +0.3 seconds; Video 3 starts at -0.4 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at +0.0 seconds."], "answer": "A) Video 2 starts at -0.3 seconds; Video 3 starts at +0.4 seconds.", "videos": ["dataset/kubric_data/scene_977/cam0.mp4", "dataset/kubric_data/scene_977/cam2.mp4", "dataset/kubric_data/scene_977/cam1.mp4"], "video_ranges": [[1.2, 4.2], [0.8, 3.8], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at -0.0 seconds; Video 3 starts at +0.2 seconds."], "answer": "A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_978/cam2.mp4", "dataset/kubric_data/scene_978/cam0.mp4", "dataset/kubric_data/scene_978/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.9, 4.9], [1.5, 4.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.0 seconds; Video 3 starts at +0.7 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -0.8 seconds; Video 3 starts at -1.1 seconds.", "D) Video 2 starts at +1.1 seconds; Video 3 starts at +0.8 seconds."], "answer": "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.1 seconds.", "videos": ["dataset/kubric_data/scene_979/cam1.mp4", "dataset/kubric_data/scene_979/cam0.mp4", "dataset/kubric_data/scene_979/cam2.mp4"], "video_ranges": [[0.0, 3.0], [0.8, 3.8], [1.1, 4.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at +1.2 seconds.", "B) Video 2 starts at -1.2 seconds; Video 3 starts at +0.1 seconds.", "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "D) Video 2 starts at +1.4 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at +1.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_980/cam1.mp4", "dataset/kubric_data/scene_980/cam2.mp4", "dataset/kubric_data/scene_980/cam0.mp4"], "video_ranges": [[0.5, 3.5], [1.8, 4.8], [0.4, 3.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at -0.3 seconds; Video 3 starts at -0.1 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at +0.3 seconds.", "D) Video 2 starts at -0.3 seconds; Video 3 starts at +0.1 seconds."], "answer": "A) Video 2 starts at -0.1 seconds; Video 3 starts at -0.3 seconds.", "videos": ["dataset/kubric_data/scene_981/cam2.mp4", "dataset/kubric_data/scene_981/cam1.mp4", "dataset/kubric_data/scene_981/cam0.mp4"], "video_ranges": [[1.1, 4.1], [1.0, 4.0], [0.8, 3.8]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.4 seconds.", "B) Video 2 starts at -0.4 seconds; Video 3 starts at +0.6 seconds.", "C) Video 2 starts at +0.8 seconds; Video 3 starts at -0.0 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.4 seconds."], "answer": "A) Video 2 starts at +0.6 seconds; Video 3 starts at -0.4 seconds.", "videos": ["dataset/kubric_data/scene_982/cam1.mp4", "dataset/kubric_data/scene_982/cam2.mp4", "dataset/kubric_data/scene_982/cam0.mp4"], "video_ranges": [[0.8, 3.8], [1.3, 4.3], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds.", "B) Video 2 starts at +0.8 seconds; Video 3 starts at +1.4 seconds.", "C) Video 2 starts at +1.5 seconds; Video 3 starts at +1.1 seconds.", "D) Video 2 starts at -1.4 seconds; Video 3 starts at -0.8 seconds."], "answer": "A) Video 2 starts at +1.4 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_983/cam2.mp4", "dataset/kubric_data/scene_983/cam1.mp4", "dataset/kubric_data/scene_983/cam0.mp4"], "video_ranges": [[0.6, 3.6], [2.0, 5.0], [1.4, 4.4]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.0 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at +1.0 seconds.", "C) Video 2 starts at +1.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds."], "answer": "D) Video 2 starts at +1.0 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_984/cam2.mp4", "dataset/kubric_data/scene_984/cam0.mp4", "dataset/kubric_data/scene_984/cam1.mp4"], "video_ranges": [[1.0, 4.0], [2.0, 5.0], [1.6, 4.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at +1.7 seconds; Video 3 starts at +0.5 seconds.", "C) Video 2 starts at +1.6 seconds; Video 3 starts at +0.9 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -0.9 seconds."], "answer": "C) Video 2 starts at +1.6 seconds; Video 3 starts at +0.9 seconds.", "videos": ["dataset/kubric_data/scene_985/cam0.mp4", "dataset/kubric_data/scene_985/cam2.mp4", "dataset/kubric_data/scene_985/cam1.mp4"], "video_ranges": [[0.3, 3.3], [1.9, 4.9], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.5 seconds; Video 3 starts at +0.2 seconds.", "B) Video 2 starts at +0.1 seconds; Video 3 starts at +0.8 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -0.5 seconds."], "answer": "C) Video 2 starts at +0.2 seconds; Video 3 starts at +0.5 seconds.", "videos": ["dataset/kubric_data/scene_986/cam1.mp4", "dataset/kubric_data/scene_986/cam2.mp4", "dataset/kubric_data/scene_986/cam0.mp4"], "video_ranges": [[0.8, 3.8], [0.9, 3.9], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.9 seconds; Video 3 starts at -0.0 seconds.", "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.2 seconds; Video 3 starts at +1.0 seconds.", "D) Video 2 starts at -1.0 seconds; Video 3 starts at -0.2 seconds."], "answer": "B) Video 2 starts at +1.0 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_987/cam2.mp4", "dataset/kubric_data/scene_987/cam0.mp4", "dataset/kubric_data/scene_987/cam1.mp4"], "video_ranges": [[1.0, 4.0], [2.0, 5.0], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.5 seconds; Video 3 starts at -0.3 seconds.", "B) Video 2 starts at +0.3 seconds; Video 3 starts at +1.5 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.5 seconds.", "D) Video 2 starts at -0.4 seconds; Video 3 starts at -1.1 seconds."], "answer": "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.5 seconds.", "videos": ["dataset/kubric_data/scene_988/cam1.mp4", "dataset/kubric_data/scene_988/cam0.mp4", "dataset/kubric_data/scene_988/cam2.mp4"], "video_ranges": [[1.8, 4.8], [1.5, 4.5], [0.3, 3.3]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -0.2 seconds; Video 3 starts at +0.1 seconds.", "B) Video 2 starts at -0.0 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds.", "videos": ["dataset/kubric_data/scene_989/cam0.mp4", "dataset/kubric_data/scene_989/cam2.mp4", "dataset/kubric_data/scene_989/cam1.mp4"], "video_ranges": [[0.2, 3.2], [0.3, 3.3], [0.1, 3.1]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.1 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.1 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.7 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at -1.1 seconds.", "videos": ["dataset/kubric_data/scene_990/cam2.mp4", "dataset/kubric_data/scene_990/cam0.mp4", "dataset/kubric_data/scene_990/cam1.mp4"], "video_ranges": [[1.6, 4.6], [1.3, 4.3], [0.5, 3.5]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.7 seconds; Video 3 starts at +1.6 seconds.", "B) Video 2 starts at -0.7 seconds; Video 3 starts at -1.6 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at -1.6 seconds; Video 3 starts at -0.7 seconds."], "answer": "B) Video 2 starts at -0.7 seconds; Video 3 starts at -1.6 seconds.", "videos": ["dataset/kubric_data/scene_991/cam1.mp4", "dataset/kubric_data/scene_991/cam2.mp4", "dataset/kubric_data/scene_991/cam0.mp4"], "video_ranges": [[1.8, 4.8], [1.2, 4.2], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.1 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at -0.2 seconds; Video 3 starts at +0.2 seconds.", "C) Video 2 starts at +0.1 seconds; Video 3 starts at -0.5 seconds.", "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds."], "answer": "D) Video 2 starts at +0.2 seconds; Video 3 starts at -0.2 seconds.", "videos": ["dataset/kubric_data/scene_992/cam0.mp4", "dataset/kubric_data/scene_992/cam1.mp4", "dataset/kubric_data/scene_992/cam2.mp4"], "video_ranges": [[0.8, 3.8], [1.0, 4.0], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.2 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at +0.0 seconds; Video 3 starts at +0.7 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at -0.2 seconds."], "answer": "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_993/cam1.mp4", "dataset/kubric_data/scene_993/cam2.mp4", "dataset/kubric_data/scene_993/cam0.mp4"], "video_ranges": [[1.4, 4.4], [1.3, 4.3], [1.7, 4.7]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.6 seconds; Video 3 starts at +0.5 seconds.", "B) Video 2 starts at -0.8 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.5 seconds; Video 3 starts at -0.6 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.5 seconds."], "answer": "D) Video 2 starts at -0.6 seconds; Video 3 starts at -0.5 seconds.", "videos": ["dataset/kubric_data/scene_994/cam0.mp4", "dataset/kubric_data/scene_994/cam2.mp4", "dataset/kubric_data/scene_994/cam1.mp4"], "video_ranges": [[1.7, 4.7], [1.1, 4.1], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.2 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.1 seconds; Video 3 starts at +0.5 seconds.", "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at -0.2 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_995/cam1.mp4", "dataset/kubric_data/scene_995/cam2.mp4", "dataset/kubric_data/scene_995/cam0.mp4"], "video_ranges": [[0.5, 3.5], [0.3, 3.3], [1.2, 4.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +1.5 seconds; Video 3 starts at -0.0 seconds.", "B) Video 2 starts at +0.2 seconds; Video 3 starts at +1.6 seconds.", "C) Video 2 starts at -1.6 seconds; Video 3 starts at -0.2 seconds.", "D) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds."], "answer": "D) Video 2 starts at +1.6 seconds; Video 3 starts at +0.2 seconds.", "videos": ["dataset/kubric_data/scene_996/cam2.mp4", "dataset/kubric_data/scene_996/cam0.mp4", "dataset/kubric_data/scene_996/cam1.mp4"], "video_ranges": [[0.0, 3.0], [1.6, 4.6], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.7 seconds; Video 3 starts at -0.1 seconds.", "B) Video 2 starts at -0.1 seconds; Video 3 starts at -1.7 seconds.", "C) Video 2 starts at -0.3 seconds; Video 3 starts at -1.3 seconds.", "D) Video 2 starts at +0.1 seconds; Video 3 starts at +1.7 seconds."], "answer": "B) Video 2 starts at -0.1 seconds; Video 3 starts at -1.7 seconds.", "videos": ["dataset/kubric_data/scene_997/cam2.mp4", "dataset/kubric_data/scene_997/cam0.mp4", "dataset/kubric_data/scene_997/cam1.mp4"], "video_ranges": [[1.8, 4.8], [1.8, 4.8], [0.2, 3.2]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at -1.3 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +1.4 seconds; Video 3 starts at +0.3 seconds.", "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.6 seconds.", "D) Video 2 starts at +0.6 seconds; Video 3 starts at +1.3 seconds."], "answer": "C) Video 2 starts at +1.3 seconds; Video 3 starts at +0.6 seconds.", "videos": ["dataset/kubric_data/scene_998/cam2.mp4", "dataset/kubric_data/scene_998/cam0.mp4", "dataset/kubric_data/scene_998/cam1.mp4"], "video_ranges": [[0.0, 3.0], [1.3, 4.3], [0.6, 3.6]]}
{"category": "Temporal_Alignment", "task": "Kubric_Multi_Angle_Synchronization", "question": "You are provided with three videos (Video 1, Video 2, and Video 3) recorded at 12 FPS. Each video is exactly 3.0 seconds long and shows the same physical event captured simultaneously from three different camera angles.\nIdentify the exact temporal offset of the latter two videos. At what timestamp in Video 1's timeline does the very first frame of Video 2 and Video 3 occur? (Note: A negative timestamp means the video started before Video 1).", "options": ["A) Video 2 starts at +0.8 seconds; Video 3 starts at -0.6 seconds.", "B) Video 2 starts at +0.6 seconds; Video 3 starts at -0.8 seconds.", "C) Video 2 starts at -0.7 seconds; Video 3 starts at +0.4 seconds.", "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds."], "answer": "D) Video 2 starts at -0.6 seconds; Video 3 starts at +0.8 seconds.", "videos": ["dataset/kubric_data/scene_999/cam0.mp4", "dataset/kubric_data/scene_999/cam2.mp4", "dataset/kubric_data/scene_999/cam1.mp4"], "video_ranges": [[0.7, 3.7], [0.1, 3.1], [1.5, 4.5]]}