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[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9360/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9360/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9360/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_11/BV1PEeUeREXA.mp4
In the video, how long did the protagonists spend talking in the car before driving to the first location? Options: A. About a minute. B. Nearly two minutes. C. Just under a minute and a half. D. Close to two and a half minutes.
3,375
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 2.138125, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3375, "duration_bucket": null, "evidence_count": n...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/835/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/835/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/835/ov_2.jpg", "/mn...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_15/BV1WB421r72q.mp4
In the magic show at the 2012 Spring Festival Gala, how many times was the white ball inside the upside-down cup after it was turned over? Options: A. 7 times B. 5 times C. 10 times D. 8 times
3,170
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 2.071083333333333, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3170, "duration_bucket": null, "evidence_...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
C
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5135/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5135/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5135/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_37/PAA_lCutsfE.mp4
In the video, the protagonist wearing a black jacket in the lower right corner of the video mentioned how to control the player's speed? Options: A. Use a static method. B. Modify the prefab settings. C. Create a public variable. D. Set a fixed time step.
3,103
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 2.0588916666666663, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3103, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/12094/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/12094/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/12094/ov_2.jpg", ...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_60/rLbY-xZQUyw.mp4
In the video, when the mouse JERRY was drinking milk secretly with a straw, why did the cat run over and get scared? Options: A. Because he heard a loud noise B. Because he saw a lot of red spots on his face in the mirror C. Because he heard a dog barking nearby D. Because he saw a shadow behind him
3,513
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 2.05735, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3513, "duration_bucket": null, "evidence_count": null, "has_evi...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2723/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2723/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2723/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_35/MLW1CqdTbv0.mp4
In the video, why does the protagonist lift his right foot, put his left foot on the rolling stability ball, and then lift his hips and stop moving? Options: A. To strengthen the abdominal core B. To improve balance and stability C. To practice deep breathing techniques D. To enhance flexibility in the joints
2,179
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 2.0554666666666668, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2179, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/7117/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/7117/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/7117/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_56/5D8TBicNIb8.mp4
Why does the woman on the left in the video scream after singing the song? Options: A. Because the dog is eating the cake B. Because the dog jumped on the table C. Because the dog chased the cat D. Because the lights went out
3,668
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 8, "cg_select_score": 2.0543750000000003, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3668, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3503/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3503/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3503/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_17/BV1by4y147Bd.mp4
Why did the woman say "wow" when she put the bag on the hook in the video? Options: A. Because when the woman lifts the bag, she finds it is unexpectedly light B. Because when the woman lifts the bag, she feels that the bag is heavy C. Because when the woman lifts the bag, she sees something surprising inside D. Becaus...
3,509
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 2.0493833333333336, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3509, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/8079/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/8079/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/8079/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_49/dqjk2152gho.mp4
In the video, a man and a woman were having dinner together when someone knocked on the door. When the woman went to open the door, she was killed. At this time, how many people rushed in from outside the door? Options: A. 3 B. 4 C. 0 D. 2
2,537
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 2.0191083333333335, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2537, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
C
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/7400/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/7400/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/7400/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_56/5D8TBicNIb8.mp4
What is the black cat doing in the video when the woman kneels down with the plate? Options: A. Black cat is sitting quietly B. Black cat is stretching its legs C. Black cat is jumping high D. Black cat is hiding behind furniture
3,668
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 7, "cg_select_score": 1.9806250000000003, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3668, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5783/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5783/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5783/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_44/Zn1YwLsX06Q.mp4
In the video, why does the person wearing a blue shirt suddenly have a sweaty expression? Options: A. In order to match the character's psychology B. To enhance the visual effects of the video C. To emphasize the comedic timing of the scene D. To mimic the tension in the storyline
2,003
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.9711833333333335, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2003, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/428/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/428/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/428/ov_2.jpg", "/mn...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_03/BV14k4y157vU.mp4
In the video, when the protagonist was ordering food and eating in a Uruguayan restaurant, how many people were given close-ups lying on the sofa behind him? Options: A. 5 people B. 3 people C. 6 people D. 2 people
2,184
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.97105, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2184, "duration_bucket": null, "evidence_count": nu...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/4931/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/4931/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/4931/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_24/BV1wJ411v7RH.mp4
In the video, why do the two red cars surround the yellow car on the racetrack? Options: A. Make room for another vehicle to join the race B. Don't want the red car to overtake them C. Prevent the yellow car from gaining speed D. Prevent the yellow car from losing control on the track
1,225
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.9666666666666668, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 1225, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6675/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6675/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6675/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_17/BV1by4y147Bd.mp4
When the two men were chatting in the video, why was the tall man holding a pair of pliers in his hand? Options: A. To ensure the container meets security standards B. To open the seal and inspect the goods C. To align the container doors correctly D. To fix a mechanical issue with the container
3,509
{ "cg_benchmark_like_tags": [ "temporal", "action", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.9637583333333333, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3509, "duration_bucket": null, "evidence_count": null, "has...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
C
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9216/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9216/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9216/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_36/NGsUFvwgvCo.mp4
Why did Pasquali conclude in the video that "Bacchus" was not created by Leonardo da Vinci after his investigation? Options: A. Lack of delicate features B. Misaligned proportions C. Rough shadows on the face D. Uncharacteristic signature
3,215
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.9625833333333333, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3215, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6239/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6239/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6239/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_30/HTS2plAOXDM.mp4
In the video, why is a father smiling happily when he appears in front of the camera while pushing his two children? Options: A. Because they are playing ice hockey. B. Because they are riding electric scooters. C. Because they are building a snowman. D. Because they are sledding.
3,629
{ "cg_benchmark_like_tags": [ "temporal", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.9518750000000002, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3629, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3281/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3281/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3281/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_30/H_erG7HSK0A.mp4
In the video, when the man with glasses was demonstrating how to hold a knife, there were several iron pots hanging on the wall behind him? Options: A. five B. seven C. six D. two
2,209
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.9477166666666665, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2209, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/8039/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/8039/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/8039/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_46/_zsp380jhAs.mp4
In the video, why did the short-haired lady cry when the first car accident happened? Options: A. She was injured during the accident B. She couldn't save the man in the car C. She was reminded of a past trauma D. She blamed herself for the accident
3,466
{ "cg_benchmark_like_tags": [ "temporal", "action", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.9368666666666665, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3466, "duration_bucket": null, "evidence_count": null, "has...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/10856/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/10856/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/10856/ov_2.jpg", ...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_60/r9PeYPHdpNo.mp4
In the video, when the subtitle "DAVID ATTENBOROUGH" appears, why does it say that 90% of sea creatures live in coastal waters? Options: A. Because there are more predators in open waters B. Because the water is calmer there C. Because the coral reefs provide shelter D. Because there is plenty of sunshine here
2,987
{ "cg_benchmark_like_tags": [ "temporal", "action", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.9334833333333337, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2987, "duration_bucket": null, "evidence_count": null, "has...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
C
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9096/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9096/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9096/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_30/HTS2plAOXDM.mp4
In the video, how many times did the two farmers perform the farming action during the entire process of cultivating crops? Options: A. 8 left B. 9 down C. 7 down D. 5 down
3,629
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.9312500000000004, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3629, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/770/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/770/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/770/ov_2.jpg", "/mn...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_04/BV16t421379q.mp4
When the number of gold coins in the upper right corner of the video shows 1620, is the panda-like figure that appears on the map a soldier or a hero? Options: A. Soldier, due to the surrounding units. B. Hero, because of the map position. C. Soldier, due to the movement speed. D. Hero, because of his size.
1,442
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.9163583333333332, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 1442, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/10681/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/10681/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/10681/ov_2.jpg", ...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_02/Asw4NOHXBDQ.mp4
Why does the man in red in the video smile when he spreads his hands? Options: A. Because he got in a convertible B. Because he just crossed the finish line C. Because he was with friends on a rooftop D. Because he saw a landmark he recognized
1,686
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.9142, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 1686, "duration_bucket": null, "evidence_count": nul...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5198/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5198/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5198/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_53/k-E6YthhO4g.mp4
Among the following statements in the video, which options are correct when the man in black gloves is frying chicken nuggets: 1. The fried chicken nuggets are placed on the left side of the man 2. The man holds a shovel in his right hand 3. The scene behind the man is an open space 4. The man is talking to the person ...
2,008
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 6, "cg_select_score": 1.9136416666666665, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2008, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/12091/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/12091/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/12091/ov_2.jpg", ...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_36/NGsUFvwgvCo.mp4
Why did Peter want to keep the fake "Mona Lisa" painting after testing it with his peripheral vision in the video? Options: A. The colors matched his living room decor. B. That painting was created based on his own appearance. C. He thought it was an authentic piece of art. D. He believed it was painted by a famous art...
3,215
{ "cg_benchmark_like_tags": [ "temporal", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.9125833333333333, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3215, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6023/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6023/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6023/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_53/jvWeMqcwKak.mp4
Why did the man in black in the video jump into the snow after the car stopped? Options: A. Because he wants to feel how deep the snow is B. Because he wants to capture a unique video angle C. Because he wants to cool down after the ride D. Because he wants to make a snowman
2,961
{ "cg_benchmark_like_tags": [ "temporal", "action", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.9123249999999998, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2961, "duration_bucket": null, "evidence_count": null, "has...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/4812/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/4812/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/4812/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_55/mJGoBme-T88.mp4
How many times is the man in the blue shirt shown falling on the track in the video? Options: A. 2 times B. 1 time C. 3 times D. 6 times
5,699
{ "cg_benchmark_like_tags": [ "temporal", "action", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.9062500000000002, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 5699, "duration_bucket": null, "evidence_count": null, "has...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
C
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/10599/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/10599/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/10599/ov_2.jpg", ...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_28/F4Z0xCyfKSI.mp4
What is the man in black doing during the time period [[1460, 1462]] in the video? Options: A. Host a magic show B. Conduct poetry recitation C. Perform singing performance D. Deliver comedy monologue
3,239
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 7, "cg_select_score": 1.906008333333333, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3239, "duration_bucket": null, "evidence_count": null, "...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/538/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/538/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/538/ov_2.jpg", "/mn...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_61/uO2Inhc50kQ.mp4
When the man in purple was speaking in the video, what did the two men behind him do? Options: A. Distract him with a loud noise B. Push him aside with a shield C. Pull him backward with a chain D. Knock him down with a stick
2,506
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 6, "cg_select_score": 1.8973666666666666, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2506, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9231/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9231/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9231/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_04/BV16q4y1z7ya.mp4
In the video, when the subtitles mentioned "Everyone will think carrot cake is too simple and easy to make", how many times did the man in the video peel the carrot in his hand? Options: A. Four Knives B. Three Blades C. Five Slices D. Two Times
3,501
{ "cg_benchmark_like_tags": [ "temporal", "action", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.8965750000000001, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3501, "duration_bucket": null, "evidence_count": null, "has...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
C
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/11017/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/11017/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/11017/ov_2.jpg", ...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_49/doCljVMQAvU.mp4
In the video, after the protagonist introduced how to use "lora", he mentioned that the weight should generally not exceed a certain value? Options: A. 0.4 or between 0.4-0.8 B. 0.1 or between 0.1-0.5 C. 0.3 or between 0.3-1 D. 0.5 or between 0.5-1.5
3,731
{ "cg_benchmark_like_tags": [ "temporal", "action", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.8962500000000002, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3731, "duration_bucket": null, "evidence_count": null, "has_evidence": nu...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2850/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2850/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2850/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_23/2kJDTzFtUr4.mp4
In the video, when the protagonist was introducing the working environment, how many people were wearing protective clothing in front of the computer? Options: A. Seven B. Three C. Two D. Five
3,398
{ "cg_benchmark_like_tags": [ "temporal", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.8933083333333334, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3398, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5770/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5770/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5770/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_50/fDZYQD1GDd4.mp4
In the video, after the protagonist started his motorcycle, why didn't he sit on it immediately, but instead walked around the motorcycle and took a photo? Options: A. To show off his motorcycle B. To capture the morning sunlight reflection on the chrome C. To compare it with the nearby parked motorcycles D. To ensure ...
2,727
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 8, "cg_select_score": 1.8887749999999999, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2727, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/193/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/193/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/193/ov_2.jpg", "/mn...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_35/MLW1CqdTbv0.mp4
In the video, when the video protagonist lifts his left foot and rolls the stability ball with his right foot, how many times does he roll it? Options: A. 15 times B. 12 times C. 13 times D. 14 times
2,179
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.8885916666666667, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2179, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/8913/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/8913/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/8913/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_25/BV1zS421d7Dd.mp4
In the following statements in the video, which options are correct when the man is buying meat? : 1. The butcher shop is on the right side of the man 2. The butcher shop is open outdoors 3. There is a green QR code on the iron shelf of the butcher shop 4. The man is discussing something with the butcher shop owner Opt...
1,889
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 5, "cg_select_score": 1.8853833333333334, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 1889, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6932/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6932/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6932/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_42/VqCgcpAypFQ.mp4
In the video, after the protagonist introduced the search interface, he switched to another interface with a white background. What are the bold words at the top of this interface? Options: A. How do we set up VS Code? B. How do we use VS Code? C. When to use VS Code effectively? D. Why use VS Code for development?
2,028
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.8847249999999995, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2028, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2528/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2528/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2528/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_29/Gtqv5pxrvJM.mp4
In the video, why did the protagonist scream after entering the inflatable tent? Options: A. Because he saw a spider inside the tent B. Because he was lost and scared C. Because the tent suddenly started deflating D. Because he found his phone was missing
2,605
{ "cg_benchmark_like_tags": [ "temporal", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.8820416666666668, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2605, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/11755/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/11755/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/11755/ov_2.jpg", ...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_42/WG1aY5OOR2o.mp4
In the video, when the subtitle "on a full security watch" appears, what time does it appear in the upper left corner of the screen? Options: A. 19-Aug-14 B. 18-Jul-14 C. 19-Jul-14 D. 20-Aug-14
3,197
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 6, "cg_select_score": 1.8773583333333335, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3197, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3633/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3633/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3633/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_42/Wb_Erxso2gA.mp4
In the video, as shown on the screen, when this Monopoly game enters the end stage of the game, when the trigger condition prompt "are you sure yo want to declare bankruptcy?" appears, who is the first player to be eliminated? Options: A. Green Player B. Orange Player C. Purple Player D. Blue Player
3,788
{ "cg_benchmark_like_tags": [ "temporal", "action", "object" ], "cg_original_option_count": 6, "cg_select_score": 1.8743750000000001, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3788, "duration_bucket": null, "evidence_count": null, "has_evidence": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3031/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3031/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3031/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_53/jvWeMqcwKak.mp4
What is the first thing the man wearing sunglasses in the video does after getting off the car? Options: A. Check the wheel start B. Inspect the front bumper C. Look under the hood D. Secure the trunk
2,961
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 7, "cg_select_score": 1.8685749999999999, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2961, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5965/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5965/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5965/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_48/czqB8I4-BQY.mp4
In the video, after discovering an apple tree, why did the protagonist pick up the apples on the ground? Options: A. Because he wanted to make apple pie B. To collect them for storage C. To throw them back at the tree D. Because he wanted to use the apples as bait.
3,172
{ "cg_benchmark_like_tags": [ "temporal", "action", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.8681916666666667, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3172, "duration_bucket": null, "evidence_count": null, "has_evidence": nu...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5923/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5923/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5923/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_39/RoGe1SRbQDY.mp4
In the video, why did the protagonist use a wooden stick to wrap the rope hanging the tent? Options: A. In order to balance the weight of the tent on uneven ground. B. In order to make the structure of the tent more stable. C. In order to mark the tent's location for others. D. In order to use the stick as a potential ...
2,234
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "reasoning" ], "cg_original_option_count": 7, "cg_select_score": 1.867508333333333, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2234, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/266/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/266/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/266/ov_2.jpg", "/mn...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_64/yZr5FOlKp30.mp4
In the video, when the cucumber robot was jumping on the trash can, which of the following options is correct: 1. A cucumber robot took out a pull-open lid from the trash can, 2. A cucumber robot took out a plastic bottle from the trash can, 3. There are two potted plants on the left and right sides of the trash can, 4...
2,495
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene" ], "cg_original_option_count": 6, "cg_select_score": 1.8673333333333333, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2495, "duration_bucket": null, "evidence_count": null, "has_evidence"...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2945/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2945/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/2945/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_23/2kJDTzFtUr4.mp4
In the video, when the black car is driving to the left, how many black cars are there in the picture? Options: A. Five B. Two C. Four D. Three
3,398
{ "cg_benchmark_like_tags": [ "temporal", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.8626833333333332, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3398, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3779/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3779/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3779/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_21/BV1pm42157Bt.mp4
In the video, after the protagonist arrived at the delivery location, he found that there was a password-protected security door on the first floor and he could not get in. How many times did the protagonist press the doorbell before he put down the takeaway and left? Options: A. 2 times B. 1 time C. 3 times D. 6 times
1,552
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.8623166666666666, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 1552, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
C
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3225/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3225/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/3225/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_33/K946mptgzTU.mp4
In the video, when the man in white is explaining his current situation, what is the black man behind him doing? Options: A. Changing oil B. Checking engine C. Changing tires D. Organizing supplies
3,007
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 7, "cg_select_score": 1.8620666666666668, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3007, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
C
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6305/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6305/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/6305/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_64/xtJeKSDD0ho.mp4
In the video, the kitchen staff at the Hashimoto store were shown washing their hands after work. How many bowls of seasoned eggs were placed on the table in front of them? Options: A. 5 bowls B. 8 bowls C. 4 bowls D. 7 bowls
2,056
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.8617416666666664, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2056, "duration_bucket": null, "evidence_count": null,...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
A
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5883/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5883/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5883/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_43/YXCHi0Uo2Ew.mp4
In the video, when the protagonist says "move a slider is hovering over the parameter name and just dragging right", a picture is shown. The lady in the picture is holding an animal. What animal is this? Options: A. Hairless cat B. Sphynx kitten C. Chinese crested dog D. Rat with alopecia
1,912
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 6, "cg_select_score": 1.8574416666666667, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 1912, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/283/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/283/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/283/ov_2.jpg", "/mn...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_30/HTS2plAOXDM.mp4
In the video, what did the protagonist do after hitting the space bar on the keyboard while editing? Options: A. The protagonist takes a break and looks out the window B. The protagonist sips coffee and ponders the next cut C. The protagonist scrolls through social media and comments D. The protagonist sits in front of...
3,629
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene" ], "cg_original_option_count": 7, "cg_select_score": 1.8562500000000002, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3629, "duration_bucket": null, "evidence_count": null, "has_evidence"...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
B
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9890/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9890/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/9890/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_23/2_SU9fL_EBc.mp4
Why did the woman in the white top who fired the gun in the video cry? Options: A. The girl in the white dress was startled B. The boy in the white short-sleeved shirt was injured C. A mirror shattered in the chaos D. Her gun accidentally misfired
1,600
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object", "reasoning" ], "cg_original_option_count": 8, "cg_select_score": 1.8535416666666666, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 1600, "duration_bucket": null, "evidence...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
C
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5137/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5137/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/5137/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_35/MBrjf4yiLaI.mp4
In the video, when the woman in white was showing the cooked noodles, what did the woman in black on the right do? Options: A. Tapped her fingers on the table B. Played with a napkin C. Took a sip of drink D. Looked at her phone
2,203
{ "cg_benchmark_like_tags": [ "temporal", "action", "spatial_scene", "object" ], "cg_original_option_count": 6, "cg_select_score": 1.8532666666666666, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 2203, "duration_bucket": null, "evidence_count": null, ...
[ { "content": "You are a video question-answering assistant. To look at any part of the video, call get_frames:\n<tool_call>{\"name\": \"get_frames\", \"arguments\": {\"start_time\": <seconds>, \"end_time\": <seconds>}}</tool_call>\nIt returns frames from that window, each prefixed with its timestamp <T seconds>...
D
[ "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/4860/ov_0.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/4860/ov_1.jpg", "/mnt/shanhai-ai/qiuchenhao/data/video_data/train_method/rl_get_frames/overview_frames/4860/ov_2.jpg", "...
/mnt/shanhai-ai/qiuchenhao/data/video_data/benchmarks/CG-Bench/video_chunk_63/wJPjAJRhnxE.mp4
How many times did the protagonist in the video grab food and put it into the pot while speaking? Options: A. 6 B. 5 C. 4 D. 3
3,249
{ "cg_benchmark_like_tags": [ "temporal", "action", "object", "reasoning" ], "cg_original_option_count": 6, "cg_select_score": 1.8515500000000003, "cv2_duration": null, "cv2_fps": null, "cv2_frame_count": null, "duration": 3249, "duration_bucket": null, "evidence_count": null, "has...
End of preview. Expand in Data Studio

VEPO-RL-Data

This resource accompanies VEPO: Learning to Credit Visual Evidence Seeking for Agentic Video Understanding.

Overview

The release provides one Parquet file, data/prompts_merged_with_overview.valid_all_overview.parquet. It supplies questions, reference answers, and video metadata for online policy rollouts. The current policy generates its search actions and final answers during RL; teacher search trajectories are not consumed by the released RL entrypoint.

Source videos and extracted overview images are distributed separately. This repository contains the prompt Parquet file only.

Data format

Field Purpose
problem Chat-formatted question or prompt
answer Reference answer used by the task verifier
images Optional overview-image references
metadata.video Video path used by the rollout environment
metadata.question Question text supplied to the ERM

Before training, remap video and image references to files accessible to every rollout worker. The paths in the released Parquet file are references, not files bundled with the dataset.

Set RL_DATA_PATH to /path/to/vepo-data/data/prompts_merged_with_overview.valid_all_overview.parquet.

Download and use

hf download Echoch/VEPO-RL-Data data/prompts_merged_with_overview.valid_all_overview.parquet --type dataset --local-dir /path/to/vepo-data

The paper's code release provides the Slime training overlay, temporal-search environment, and ERM serving launcher. Prepare a compatible Slime runtime and the required video files separately.

Repository contents

The repository contains the RL prompt Parquet file. Source videos, overview images, and SFT teacher annotations are separate.

Related resources

Resource Repository
Trained policy VEPO-Qwen2.5-VL-7B
Evidence Reward Model VEPO-ERM-Qwen3-VL-4B
RL training prompts VEPO-RL-Data

Usage terms

Source-model and dataset terms continue to apply. No new license is assigned by this documentation update.

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