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2.56k
c30811ca-6dba-47f0-a8e9-de1bca35d877
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/27be88d408.mp4
These are frames of a video. If I am standing by the box and facing the shoes, is the monitor to the left or the right of the shoes? Options: A. left B. right Answer with the option's letter from the given choices directly.
[ "A. left", "B. right" ]
vsibench_scannetpp
vlm3r_vsibench
27be88d408
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the box and facing the shoes, is the monitor to the left or the right of the shoes?\nOptions:\nA. left\nB. right\nA...
The video shows a small, cluttered room with an orange floor, featuring a bed, a desk with a chair, and a white wardrobe. A black backpack rests on the desk, and various items like a laptop, a water bottle, and a glass mug are visible on different surfaces. The camera pans around the room, capturing different angles of...
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[ "/data1/hbatra/4DReasoner_v5/frames/27be88d408/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/27be88d408/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/27be88d408/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/27be88d408/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/27be88d408/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
A
b637892d-40d4-400e-9220-f5f6b12e824f
/data1/hbatra/training_datasets_raw/robofac/simulation_data/ToolsTask-v1/plug_insert_view1_position_offset/b637892d-40d4-400e-9220-f5f6b12e824f.mp4
<video> Based on the video of the robotic arm carrying out a task, what type of error took place during the task? (Your answer should choose one of the following options: ['Orientation deviation.', 'Step omission.', 'Wrong target object.', 'Timing error.', 'Grasping error.', 'Position deviation.'])
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nBased on the video of the robotic arm carrying out a task, what type of error took place during the task? (Your answer should choose one of the following options: ['...
A robotic arm with a gripper is positioned over a wooden table, interacting with a red L-shaped block. The robot repeatedly moves its gripper towards and away from the block, appearing to attempt to grasp or manipulate it, while other colored blocks (green, blue, and two white) remain stationary on the table. The camer...
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[ "/data1/hbatra/4DReasoner_v5/frames/b637892d-40d4-400e-9220-f5f6b12e824f/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/b637892d-40d4-400e-9220-f5f6b12e824f/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/b637892d-40d4-400e-9220-f5f6b12e824f/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/b637892d-40d4-400e-9220-f5f6...
null
null
null
null
null
no_context
v5_curated
null
Position deviation.
002f21bf-6f41-4aac-b4ce-876d7eb21ed3
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0692_01.mp4
<image> These are frames of a video. Approximately how far (in meters) did the camera move between frame 7 and frame 17 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_displacement
vlm3r_vstibench
scene0692_01
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nApproximately how far (in meters) did the camera move between frame 7 and frame 17 of 32?\nPlease answer the question using a single wo...
The video shows a quiet, wood-paneled room, likely a library or study, filled with tall bookshelves packed with books. The camera pans around the space, capturing a round wooden table surrounded by several chairs, including a brown armchair and lighter wooden chairs. The camera movement is somewhat shaky and handheld, ...
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[ "/data1/hbatra/4DReasoner_v5/frames/scene0692_01/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0692_01/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0692_01/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0692_01/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0692_01/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
3.0
dd62afa9-9eb0-47f7-b246-d09ac411b517
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0457_00.mp4
<image> These are frames of a video. During the sequence between frame 23 and frame 28 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Right, Left, Forward, and Backward. Options: A. Right B. Left C. Forward D. Backward Answer with the ...
[ "A. Right", "B. Left", "C. Forward", "D. Backward" ]
vstibench_camera_movement_direction
vlm3r_vstibench
scene0457_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nDuring the sequence between frame 23 and frame 28 of 32, what was the primary consistent direction of the camera's movement relative to...
The video shows a child’s bedroom with a bed featuring a Transformers-themed comforter, a dark wooden dresser with framed photos and a Rubik’s cube on top, and a desk with a black office chair. The camera pans across the room, capturing the light blue walls, wooden flooring, and various decorations including a Star War...
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[ "/data1/hbatra/4DReasoner_v5/frames/scene0457_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0457_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0457_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0457_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0457_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
C
7bc3e532-f9d0-436d-b17e-7b07a8076dfa
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0101_04.mp4
<image> These are frames of a video. What is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the window in frame 9 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_obj_abs_dist
vlm3r_vstibench
scene0101_04
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nWhat is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the window in frame 9 ...
The video shows a tour of a cluttered, multi-functional room that appears to be a dorm or small apartment. The camera pans across various areas, including a bedroom with a bed, TV stand, and closet, a desk with a laptop and bookshelf, a couch with movie posters on the wall, and a kitchenette with a microwave and stools...
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[ "/data1/hbatra/4DReasoner_v5/frames/scene0101_04/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0101_04/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0101_04/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0101_04/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0101_04/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
1.2
34698
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/split_5.mp4
What is the person doing with the green cutting board?
[ "A. A. Chopping vegetables", "B. B. Holding it above the pot and scraping pieces of cooked meat into the pot", "C. C. Cleaning it", "D. D. Using it as a lid for the pot" ]
spacer_multiple choice
spacer_LLaVA-Video-178K_0_30_s_academic_v0_1
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhat is the person doing with the green cutting board?\n(A) A. Chopping vegetables\n(B) B. Holding it above the pot and scraping pieces of cooked meat into the pot\n...
A woman in a kitchen is preparing a dressing by pouring olive oil from a bottle into a wooden bowl while simultaneously stirring the contents with a spoon. The camera starts with a medium shot of her, then zooms in for close-ups of the oil being poured and the mixing action.
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[ "/data1/hbatra/4DReasoner_v5/frames/split_5/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_5/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_5/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_5/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_5/04.jpg", "/data1/hbatra/4DReasoner_v5/frames/split...
null
null
null
null
null
no_context
v5_curated
null
B
31794
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/JVJZX.mp4
What is the person wearing in the video?
[]
spacer_free-form
spacer_LLaVA-Video-178K_0_30_s_academic_v0_1
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhat is the person wearing in the video?" }, { "from": "gpt", "value": "The person is wearing a red and gray striped shirt and black pants." } ]
A person in a red and grey striped shirt is in a cluttered kitchen or utility area, bending over an ornate wooden chair to pick up a closed laptop. After closing the laptop, they stand up and walk away toward the right side of the frame, out of view. The camera remains stationary throughout, capturing the scene from a ...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/JVJZX/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/JVJZX/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/JVJZX/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/JVJZX/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/JVJZX/04.jpg", "/data1/hbatra/4DReasoner_v5/frames/JVJZX/05.jpg", ...
null
null
null
null
null
no_context
v5_curated
null
The person is wearing a red and gray striped shirt and black pants.
54642
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/3643922241.mp4
What does the boy do after he lost his balance off the skateboard? Options:
[ "A. A. touch his head.", "B. B. walk to man.", "C. C. walked to the truck.", "D. D. walk down slope to get skateboard.", "E. E. hold the baby." ]
spacer_multiple choice
spacer_NeXT-QA_0_30_s_nextqa
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhat does the boy do after he lost his balance off the skateboard?\nOptions:\n(A) A. touch his head.\n(B) B. walk to man.\n(C) C. walked to the truck.\n(D) D. walk d...
A person is skateboarding on a concrete ramp in an outdoor, overgrown area. They ride down the ramp, perform a trick where they lift the board, and then lose balance, stepping off and letting the skateboard roll away before picking it up. The camera remains mostly stationary, capturing the action from a fixed, wide-ang...
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null
[ "/data1/hbatra/4DReasoner_v5/frames/3643922241/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/3643922241/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/3643922241/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/3643922241/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/3643922241/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
D
42080
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/video_05927.mp4
Analyze the video and select the best option for the following multiple choice question. Question: Which of the following is not responsible for the collision between the metal cube and the rubber cylinder? Options:
[ "A. A. the presence of the rubber cube", "B. B. the metal cube's colliding with the sphere", "C. C. the presence of the blue sphere" ]
spacer_multiple choice
spacer_CLEVRER
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nAnalyze the video and select the best option for the following multiple choice question.\nQuestion: Which of the following is not responsible for the collision betwe...
The video shows several geometric shapes—a tan cube, a tan cylinder, a blue cube, a blue sphere, and later a red cylinder—on a plain gray surface. The blue sphere rolls toward the center of the frame, while the other objects remain mostly stationary. The camera maintains a fixed, top-down perspective throughout the seq...
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[ "/data1/hbatra/4DReasoner_v5/frames/video_05927/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_05927/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_05927/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_05927/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_05927/04.jpg", "/data1/hbatra/4DReas...
null
null
null
null
null
no_context
v5_curated
null
A
3cdb6355-9753-4007-a2f0-3bae0035b4fd
/data1/hbatra/training_datasets_raw/robofac/simulation_data/PegInsertionSide-v1/view0/3cdb6355-9753-4007-a2f0-3bae0035b4fd.mp4
<video> From the video, what task is the robot engaged in?
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nFrom the video, what task is the robot engaged in?" }, { "from": "gpt", "value": "Insert the peg into the hole in the box." } ]
A white robotic arm on a wooden table reaches down and picks up a small, red-and-white block. It then moves the block towards a beige cube with a square hole in it and inserts the block into the hole. The camera maintains a static, slightly elevated perspective throughout the sequence.
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/3cdb6355-9753-4007-a2f0-3bae0035b4fd/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/3cdb6355-9753-4007-a2f0-3bae0035b4fd/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/3cdb6355-9753-4007-a2f0-3bae0035b4fd/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/3cdb6355-9753-4007-a2f0-3bae...
null
null
null
null
null
no_context
v5_curated
null
Insert the peg into the hole in the box.
53887
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ytb_WJ3qBGbF7wY.mp4
What is the color of the hallway carpet shown at the beginning and end of the video?
[ "A. A. White", "B. B. Beige", "C. C. Blue", "D. D. Yellow" ]
spacer_multiple choice
spacer_LLaVA-Video-178K_30_60_s_youtube_v0_1
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhat is the color of the hallway carpet shown at the beginning and end of the video?\n(A) A. White\n(B) B. Beige\n(C) C. Blue\n(D) D. Yellow" }, { "from": "g...
The video shows a young girl sitting on a raised platform near a window, eating watermelon while watching another child play on a suspended aerial silk below. The camera pans around the room, showing the setup and the girl’s reactions, before cutting to a view of a door handle, indicating a change in scene.
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/ytb_WJ3qBGbF7wY/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_WJ3qBGbF7wY/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_WJ3qBGbF7wY/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_WJ3qBGbF7wY/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_WJ3qBGbF7wY/04.jpg", "...
null
null
null
null
null
no_context
v5_curated
null
B
21d42baa-6704-40ca-b4d9-51fd01f9f225
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0451_00.mp4
<image> These are frames of a video. What is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the radiator in frame 28 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_obj_abs_dist
vlm3r_vstibench
scene0451_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nWhat is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the radiator in frame ...
The video shows a dimly lit, rustic interior, likely a dining or living area, with wooden furniture, patterned upholstery, and tiled floors. The camera pans across the space, capturing a dining table with a white tablecloth, a floral-patterned sofa, and various decorative items including potted plants and framed artwor...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0451_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0451_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0451_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0451_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0451_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
3.2
32238ca0-0b85-4e33-9beb-4c96357daef2
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0541_02.mp4
<image> These are frames of a video. What is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the nightstand in frame 32 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_obj_abs_dist
vlm3r_vstibench
scene0541_02
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nWhat is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the nightstand in fram...
The video shows a bedroom with a wooden bed, a window covered by sheer curtains, and various items like clothes, an ironing board, and a small stool. The camera pans around the room, capturing different angles of the furniture and clutter, including a dresser, a nightstand with a lamp, and clothes hanging on the wall. ...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0541_02/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0541_02/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0541_02/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0541_02/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0541_02/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
1.0
41904
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/11809756394.mp4
What object is used by the individual on the ledge to retrieve the rope swing?
[ "A. A. A fishing rod", "B. B. A net", "C. C. A long stick or pole", "D. D. A ladder" ]
spacer_multiple choice
spacer_LLaVA-Video-178K_0_30_s_academic_v0_1
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhat object is used by the individual on the ledge to retrieve the rope swing?\n(A) A. A fishing rod\n(B) B. A net\n(C) C. A long stick or pole\n(D) D. A ladder" }...
Two shirtless men stand on a rocky riverbank. One man is preparing to swing on a rope swing over the water, while the other man holds a long pole, seemingly to assist or retrieve something from the water. The camera is positioned above and slightly behind the men, capturing the action from a high angle as the boy swing...
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null
[ "/data1/hbatra/4DReasoner_v5/frames/11809756394/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/11809756394/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/11809756394/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/11809756394/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/11809756394/04.jpg", "/data1/hbatra/4DReas...
null
null
null
null
null
no_context
v5_curated
null
C
04991cae-dd37-46fc-b2e6-e64ac0aa312d
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/4f144c7489.mp4
These are frames of a video. If I am standing by the smoke detector and facing the bowl, is the book to my left, right, or back? An object is to my back if I would have to turn at least 135 degrees in order to face it. Options: A. left B. back C. right Answer with the option's letter from the given choices directly.
[ "A. left", "B. back", "C. right" ]
vsibench_scannetpp
vlm3r_vsibench
4f144c7489
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the smoke detector and facing the bowl, is the book to my left, right, or back?\nAn object is to my back if I would...
The video shows a quick, handheld tour of a small, lived-in bedroom. The camera pans across the room, capturing a bed with a pink sheet, a desk with a chair, a small refrigerator, and shelves filled with various items. It also shows a black pouf on the floor, a vacuum cleaner near a curtain, and a dresser with bottles ...
null
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null
[ "/data1/hbatra/4DReasoner_v5/frames/4f144c7489/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/4f144c7489/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/4f144c7489/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/4f144c7489/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/4f144c7489/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
C
30408
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/split_0.mp4
Provide an exhaustive description of the video content.
[]
spacer_free-form
spacer_LLaVA-Video-178K_0_30_s_academic_v0_1
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nProvide an exhaustive description of the video content." }, { "from": "gpt", "value": "The video begins with a top-down view of various ingredients and i...
The video begins with a static shot of a finished bowl of creamy soup garnished with herbs, resting on a checkered cloth with a spoon beside it. The scene then transitions to a close-up of a stainless steel pan on a stovetop, where olive oil is poured and spread across the surface. Subsequently, chopped bacon is added ...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/split_0/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_0/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_0/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_0/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_0/04.jpg", "/data1/hbatra/4DReasoner_v5/frames/split...
null
null
null
null
null
no_context
v5_curated
null
The video begins with a top-down view of various ingredients and items laid out on a white surface, setting the stage for a cooking or food preparation scene. The items include a package of Nissin Demae Ramen (beef flavor), two packets labeled 'soup base' in maroon color, a red packet labeled 'seasoning oil,' a bowl of...
fb8882c7-be39-4bcc-aebe-fa74ac0e4645
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0582_00.mp4
These are frames of a video. If I am standing by the radiator and facing the bookshelf, is the computer mouse to the left or the right of the bookshelf? Options: A. left B. right Answer with the option's letter from the given choices directly.
[ "A. left", "B. right" ]
vsibench_scannet
vlm3r_vsibench
scene0582_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the radiator and facing the bookshelf, is the computer mouse to the left or the right of the bookshelf?\nOptions:\n...
The video shows a cluttered office space with multiple desks, computer monitors, and various personal items. The camera pans across the room, capturing a whiteboard with writing, a rolling storage ottoman, and a sofa with pillows. A person’s reflection is briefly visible in one of the monitors, suggesting they are hold...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0582_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0582_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0582_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0582_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0582_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
B
ccf9fdcb-16b9-4d20-950d-7e8de15336e1
/data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation2-v1/early_open_cubeA_view2_position_offset/ccf9fdcb-16b9-4d20-950d-7e8de15336e1.mp4
<video> This is a video of a robotic arm performing a task, please break down its execution into a sequence of subtasks.
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThis is a video of a robotic arm performing a task, please break down its execution into a sequence of subtasks." }, { "from": "gpt", "value": "1. Pull t...
A robotic arm with a white and black design is positioned over a wooden table, interacting with three small objects—a green cube, a purple cube, and a blue sphere—placed within a red circular area. The robot's gripper moves to pick up the green cube, then repositions it back onto the table, repeating this motion severa...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/ccf9fdcb-16b9-4d20-950d-7e8de15336e1/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/ccf9fdcb-16b9-4d20-950d-7e8de15336e1/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/ccf9fdcb-16b9-4d20-950d-7e8de15336e1/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/ccf9fdcb-16b9-4d20-950d-7e8d...
null
null
null
null
null
no_context
v5_curated
null
1. Pull the green cube off the turntable. 2. Grasp the green cube. 3. Move the green cube to the purple cube. 4. Stack the green cube onto the purple cube.
92e580d4-b82d-444f-801e-a7a9670bf1b8
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0313_00.mp4
<image> These are frames of a video. Approximately how far (in meters) did the camera move between frame 5 and frame 12 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_displacement
vlm3r_vstibench
scene0313_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nApproximately how far (in meters) did the camera move between frame 5 and frame 12 of 32?\nPlease answer the question using a single wo...
The video shows a stationary view of a modern lounge area with two gray upholstered sofas, a wooden coffee table, and several beige ottomans arranged on a patterned rug. The camera remains fixed, capturing the furniture and decor without any visible movement or action from people or objects. The scene is calm and stati...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0313_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0313_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0313_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0313_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0313_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
2.6
a9ae0033-9059-4c76-a8a5-69aa7f1c24fd
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/1831b3823a.mp4
<image> These are frames of a video. You are a robot beginning at the heater facing the blinds. You want to navigate to the trash can. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the trash ca...
[ "A. Turn Back", "B. Turn Right", "C. Turn Left" ]
vsibench_route_plan
vlm3r_vsibench
1831b3823a
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nYou are a robot beginning at the heater facing the blinds. You want to navigate to the trash can. You will perform the following action...
The video shows a room, likely a classroom or utility space, with various objects including multiple stacked and scattered beverage crates (Paulaner Spezi, Club-Mate, Gösser, Augustiner), a large printer, and several barrels (one red, one blue). The camera pans and moves around the room, capturing different angles of t...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/1831b3823a/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/1831b3823a/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/1831b3823a/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/1831b3823a/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/1831b3823a/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
C
46899
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/4051288403.mp4
Why did the boy in green collapse onto floor after he finished speaking? Options:
[ "A. A. collapse himself.", "B. B. other boy pushes him.", "C. C. tripped down.", "D. D. do a stunt.", "E. E. dancing action." ]
spacer_multiple choice
spacer_NeXT-QA_30_60_s_nextqa
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhy did the boy in green collapse onto floor after he finished speaking?\nOptions:\n(A) A. collapse himself.\n(B) B. other boy pushes him.\n(C) C. tripped down.\n(D)...
The video shows a person in a green jacket lying on grass while holding a pencil, with others standing nearby holding clipboards. The camera then pans to a disc golf basket, where a person is seen interacting with it, and later returns to the person on the ground. The camera perspective shifts between close-ups of the ...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/4051288403/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/4051288403/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/4051288403/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/4051288403/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/4051288403/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
A
9260d40f-88b6-457e-b8ad-3b300678739d
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0177_01.mp4
These are frames of a video. If I am standing by the window and facing the computer mouse, is the backpack to my left, right, or back? An object is to my back if I would have to turn at least 135 degrees in order to face it. Options: A. back B. right C. left Answer with the option's letter from the given choices direct...
[ "A. back", "B. right", "C. left" ]
vsibench_scannet
vlm3r_vsibench
scene0177_01
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the window and facing the computer mouse, is the backpack to my left, right, or back?\nAn object is to my back if I...
The video shows a static office environment with no visible people or movement. The camera pans across various stationary objects, including desks with laptops, monitors, and water bottles; a whiteboard with writing; a shelving unit with boxes and papers; a black office chair; a blue sofa with a patterned pillow; and a...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0177_01/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0177_01/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0177_01/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0177_01/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0177_01/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
B
05fc6b41-9419-47da-9d5d-35ff250fb900
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0418_01.mp4
<image> These are frames of a video. What is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the nightstand in frame 25 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_obj_abs_dist
vlm3r_vstibench
scene0418_01
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nWhat is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the nightstand in fram...
The video shows a bedroom with a wooden bed, a nightstand, and various items including luggage, a heater, and two chairs. The camera pans around the room, capturing different angles of the furniture and objects, with no people or animals visible. The camera movement is mostly static with slight pans, offering a compreh...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0418_01/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0418_01/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0418_01/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0418_01/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0418_01/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
2.9
2580a5bf-2543-4fd6-a714-ee6323608d79
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0107_00.mp4
<image> These are frames of a video. During the sequence between frame 1 and frame 27 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Left, Backward, and Forward. Options: A. Left B. Backward C. Forward Answer with the option's letter f...
[ "A. Left", "B. Backward", "C. Forward" ]
vstibench_camera_movement_direction
vlm3r_vstibench
scene0107_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nDuring the sequence between frame 1 and frame 27 of 32, what was the primary consistent direction of the camera's movement relative to ...
The video shows a hotel room with a bed, a nightstand with a lamp and phone, and an armchair near a window with curtains. The camera pans around the room, capturing different angles of the furniture and decor, including a desk with a chair, a TV stand, and a suitcase on a luggage rack. There are no people or animals vi...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0107_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0107_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0107_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0107_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0107_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
C
c2a13eb4-e165-459d-9dfa-2a723b1b6ddf
/data1/hbatra/training_datasets_raw/robofac/simulation_data/SafeTask-USB/usb_grasp_view4/c2a13eb4-e165-459d-9dfa-2a723b1b6ddf.mp4
<video> From the video showing an error in the robotic arm's task, provide precise low-level commands for error correction and recovery.
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nFrom the video showing an error in the robotic arm's task, provide precise low-level commands for error correction and recovery." }, { "from": "gpt", "va...
A white robotic arm with black joints is positioned in a room with light wood flooring and purple walls. It is actively reaching down towards a small, dark rectangular object lying on the floor, appearing to attempt to grasp or manipulate it. The camera maintains a static, low-angle perspective focused on the robot's a...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/c2a13eb4-e165-459d-9dfa-2a723b1b6ddf/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/c2a13eb4-e165-459d-9dfa-2a723b1b6ddf/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/c2a13eb4-e165-459d-9dfa-2a723b1b6ddf/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/c2a13eb4-e165-459d-9dfa-2a72...
null
null
null
null
null
no_context
v5_curated
null
Move the robot arm backward to create space, then shift the arm to the left and lower it downwards to align the end effector directly above the USB flash drive for an effective grasp.
04ba60af-fcd1-4996-a323-766628a63a69
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/c768a82cd0.mp4
These are frames of a video. If I am standing by the ceiling lamp and facing the refrigerator, is the box to my front-left, front-right, back-left, or back-right? The directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis). Options: A. front-left B. f...
[ "A. front-left", "B. front-right", "C. back-left", "D. back-right" ]
vsibench_scannetpp
vlm3r_vsibench
c768a82cd0
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the ceiling lamp and facing the refrigerator, is the box to my front-left, front-right, back-left, or back-right?\n...
The video shows a modern kitchen with white cabinets and a dark countertop, featuring a stainless steel refrigerator, an oven, and a stovetop with a pot. The camera pans around the space, showing various angles of the kitchen, including a window with potted plants and bags on the counter. There are no people or animals...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/c768a82cd0/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/c768a82cd0/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/c768a82cd0/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/c768a82cd0/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/c768a82cd0/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
D
2a16ef38-7100-45b2-b29d-fb7f3974e99d
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/cb7785f6ad.mp4
These are frames of a video. If I am standing by the kettle and facing the ceiling lamp, is the heater to the left or the right of the ceiling lamp? Options: A. right B. left Answer with the option's letter from the given choices directly.
[ "A. right", "B. left" ]
vsibench_scannetpp
vlm3r_vsibench
cb7785f6ad
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the kettle and facing the ceiling lamp, is the heater to the left or the right of the ceiling lamp?\nOptions:\nA. r...
The video presents a tour of a compact kitchen, showing various angles of white cabinetry, a wooden countertop, and appliances like a refrigerator, microwave, and dishwasher. The camera pans across the space, capturing details such as a sink with a dish rack, a window with potted plants, and a wine rack on top of the f...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/cb7785f6ad/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/cb7785f6ad/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/cb7785f6ad/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/cb7785f6ad/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/cb7785f6ad/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
A
ec7bf2e4-4c88-4578-8790-779a3f48c8b3
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0567_01.mp4
<image> These are frames of a video. During the sequence between frame 6 and frame 19 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Right, Forward, and Backward. Options: A. Right B. Forward C. Backward Answer with the option's letter...
[ "A. Right", "B. Forward", "C. Backward" ]
vstibench_camera_movement_direction
vlm3r_vstibench
scene0567_01
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nDuring the sequence between frame 6 and frame 19 of 32, what was the primary consistent direction of the camera's movement relative to ...
The video shows a bedroom with a bed covered in a blue and white plaid blanket, a folded white towel on it, and a wooden headboard. The room has hardwood floors, patterned curtains, and a standing lamp next to a wooden chair with a red cushion. The camera pans around the room, capturing the bed, walls, a door, and a fr...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0567_01/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0567_01/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0567_01/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0567_01/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0567_01/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
A
4c85e157-87ea-48fc-b532-a43ae3e888dd
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/7e09430da7.mp4
These are frames of a video. Measuring from the closest point of each object, what is the direct distance between the kettle and the office chair (in meters)? Please answer the question using a single word or phrase.
[]
vsibench_scannetpp
vlm3r_vsibench
7e09430da7
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nMeasuring from the closest point of each object, what is the direct distance between the kettle and the office chair (in meters)?\nPlea...
The video presents a tour of a compact, multi-functional room, likely a student apartment or studio. The camera pans across a workspace with a desk, monitor, chair, and a small stool, then moves to show a bed with colorful bedding, a kitchenette with a microwave and sink, and a seating area with a gaming chair and a so...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/7e09430da7/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/7e09430da7/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/7e09430da7/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/7e09430da7/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/7e09430da7/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
1.8
179d12cd-327b-495b-a87f-9e81792ee5e5
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0614_00.mp4
<image> These are frames of a video. What is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the desk in frame 25 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_obj_abs_dist
vlm3r_vstibench
scene0614_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nWhat is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the desk in frame 25 o...
The video shows a cluttered office space with multiple desks, chairs, and shelves. The camera pans around the room, capturing a computer setup with a monitor and tower, a red office chair, a whiteboard with writing, and various items on shelves and desks. There are no people or animals visible, and the camera moves in ...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0614_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0614_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0614_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0614_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0614_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
2.0
9c0fd20c-dac9-4278-be79-43365fe3fe95
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/dfac5b38df.mp4
These are frames of a video. If I am standing by the box and facing the headphones, is the mouse to my front-left, front-right, back-left, or back-right? The directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis). Options: A. back-left B. front-right...
[ "A. back-left", "B. front-right", "C. back-right", "D. front-left" ]
vsibench_scannetpp
vlm3r_vsibench
dfac5b38df
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the box and facing the headphones, is the mouse to my front-left, front-right, back-left, or back-right?\nThe direc...
The video presents a series of static shots inside a modern office space, showcasing its layout and contents without any human presence or movement. The camera pans and tilts to reveal key areas: a corner with a white tower fan, two blue buckets, and a black chair; a white cabinet stocked with beverages and supplies; a...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
D
42282
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/video_02081.mp4
Analyze the video and select the best option for the following multiple choice question. Question: Which event will happen next? Options:
[ "A. A. The purple rubber object and the metal sphere collide", "B. B. The purple rubber sphere collides with the cyan sphere" ]
spacer_multiple choice
spacer_CLEVRER
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nAnalyze the video and select the best option for the following multiple choice question.\nQuestion: Which event will happen next?\nOptions:\n(A) A. The purple rubber...
The video shows several geometric objects—a matte cyan sphere, a matte purple sphere, a shiny metallic purple sphere, and a shiny green cube—appearing and settling on a flat, light-gray surface. Initially, only the cyan sphere is present, followed by the green cube, then the purple sphere, and finally the metallic purp...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/video_02081/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_02081/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_02081/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_02081/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_02081/04.jpg", "/data1/hbatra/4DReas...
null
null
null
null
null
no_context
v5_curated
null
A
ee4c6de8-260c-48e7-a025-f827b416baa3
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/fb9b4c2f15.mp4
These are frames of a video. Measuring from the closest point of each object, which of these objects (pillow, smoke detector, blanket, door) is the closest to the table? If there are multiple instances of an object category, measure to the closest. Options: A. pillow B. smoke detector C. blanket D. door Answer with the...
[ "A. pillow", "B. smoke detector", "C. blanket", "D. door" ]
vsibench_scannetpp
vlm3r_vsibench
fb9b4c2f15
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nMeasuring from the closest point of each object, which of these objects (pillow, smoke detector, blanket, door) is the closest to the t...
The video presents a series of static shots inside a small, cluttered room, likely a dormitory or student apartment. The camera pans across various areas, showing a bed with a patterned cover and a laptop, a desk with a backpack, a router, and a lamp, and shelves filled with personal items. A large suitcase and a black...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/fb9b4c2f15/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/fb9b4c2f15/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/fb9b4c2f15/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/fb9b4c2f15/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/fb9b4c2f15/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
C
afe9f29d-8111-4e9e-94b2-2e791317c0af
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0261_00.mp4
These are frames of a video. If I am standing by the washing machine and facing the window, is the mirror to the left or the right of the window? Options: A. right B. left Answer with the option's letter from the given choices directly.
[ "A. right", "B. left" ]
vsibench_scannet
vlm3r_vsibench
scene0261_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the washing machine and facing the window, is the mirror to the left or the right of the window?\nOptions:\nA. righ...
The video shows a quick tour of a utility or laundry space, transitioning between a workbench area with a tool chest and a laundry room with washing machines, then moving into a bathroom. The camera pans across the workbench cluttered with tools and supplies, moves to the laundry area with two silver appliances, and th...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0261_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0261_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0261_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0261_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0261_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
A
1af26255-828c-4b47-aafe-dba47db5fa3e
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0506_00.mp4
<image> These are frames of a video. What is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the nightstand in frame 4 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_obj_abs_dist
vlm3r_vstibench
scene0506_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nWhat is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the nightstand in fram...
The video shows a simple, unoccupied dorm room with a wooden bed, a desk with a chair, a bookshelf, and a dresser. The camera pans around the room, capturing different angles of the furniture and the carpeted floor, with no people or movement present. The perspective shifts from a close-up of the bed to wider shots tha...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0506_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0506_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0506_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0506_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0506_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
3.0
2ec43f94-adad-44e5-ac67-1a4bdbe0c735
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0381_00.mp4
<image> These are frames of a video. Approximately how far (in meters) did the camera move between frame 1 and frame 17 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_displacement
vlm3r_vstibench
scene0381_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nApproximately how far (in meters) did the camera move between frame 1 and frame 17 of 32?\nPlease answer the question using a single wo...
The video shows a stationary lounge area with red leather seating — including two armchairs, a loveseat, and two ottomans — arranged around a round wooden coffee table on a blue carpet. The camera pans slowly around the space, offering various angles of the furniture and the light green walls, with a window and framed ...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0381_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0381_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0381_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0381_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0381_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
1.6
3b9a1b90-79c3-4cde-9691-7c1d14ad42d3
/data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation-gen2/cubeB_grasp_view2_position_offset/3b9a1b90-79c3-4cde-9691-7c1d14ad42d3.mp4
<video> In the video, the robotic arm executes a task, can you determine whether it was successful?
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nIn the video, the robotic arm executes a task, can you determine whether it was successful?" }, { "from": "gpt", "value": "No." } ]
A white robotic arm with black joints is positioned over a wooden floor, interacting with objects on a red circular mat. The robot's gripper moves toward and picks up a small, light green square object from the mat, then places it onto a red and white target symbol. The camera maintains a high, static overhead perspect...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/3b9a1b90-79c3-4cde-9691-7c1d14ad42d3/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/3b9a1b90-79c3-4cde-9691-7c1d14ad42d3/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/3b9a1b90-79c3-4cde-9691-7c1d14ad42d3/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/3b9a1b90-79c3-4cde-9691-7c1d...
null
null
null
null
null
no_context
v5_curated
null
No.
4936fb1e-739d-47d5-87ba-4463044bb622
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/9859de300f.mp4
These are frames of a video. Measuring from the closest point of each object, what is the direct distance between the light switch and the door (in meters)? Please answer the question using a single word or phrase.
[]
vsibench_scannetpp
vlm3r_vsibench
9859de300f
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nMeasuring from the closest point of each object, what is the direct distance between the light switch and the door (in meters)?\nPlease...
The video shows a compact kitchenette with various appliances and items. The camera pans across the space, capturing a dishwasher, cabinets, a sink with a dish rack, an espresso machine, a coffee grinder, a microwave, and a kettle on a stovetop. A fire extinguisher, recycling bins, and shelves with tea boxes and mugs a...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/9859de300f/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/9859de300f/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/9859de300f/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/9859de300f/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/9859de300f/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
0.4
90130c3b-07f1-4306-aa44-98009af65ac3
/data1/hbatra/training_datasets_raw/robofac/simulation_data/MicrowaveTask-mug/microwave_close_view1/90130c3b-07f1-4306-aa44-98009af65ac3.mp4
<video> The robotic arm failed to complete the task, can you specify the type of error that happened? (Your answer should choose one of the following options: ['Orientation deviation.', 'Step omission.', 'Wrong target object.', 'Timing error.', 'Grasping error.', 'Position deviation.'])
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThe robotic arm failed to complete the task, can you specify the type of error that happened? (Your answer should choose one of the following options: ['Orientation ...
A white robotic arm is shown in a room with a wooden floor, interacting with a red mug and a microwave. The robot first picks up a spoon from the floor, places it into the mug, and then opens the microwave door before placing the mug inside. The camera remains stationary throughout the sequence, providing a consistent ...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/90130c3b-07f1-4306-aa44-98009af65ac3/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/90130c3b-07f1-4306-aa44-98009af65ac3/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/90130c3b-07f1-4306-aa44-98009af65ac3/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/90130c3b-07f1-4306-aa44-9800...
null
null
null
null
null
no_context
v5_curated
null
Step omission.
bb910a0b-aaa4-4b7b-9752-0732720617ae
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0402_00.mp4
<image> These are frames of a video. What is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the table in frame 31 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_obj_abs_dist
vlm3r_vstibench
scene0402_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nWhat is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the table in frame 31 ...
The video shows a conference room with a long wooden table surrounded by several black office chairs. The camera pans around the room, capturing the table, chairs, a whiteboard on a red wall, and a trash can. A window with a view of outside is visible, and the camera moves from a seated perspective to a walking perspec...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0402_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0402_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0402_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0402_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0402_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
0.9
e1f52be6-9c87-4966-b350-ac37614ab86e
/data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation-v1/cubeA_grasp_view1_position_offset/e1f52be6-9c87-4966-b350-ac37614ab86e.mp4
<video> Can you identify what task the robot is doing in the provided video?
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nCan you identify what task the robot is doing in the provided video?" }, { "from": "gpt", "value": "Put the green cube on the target place, then stack th...
A white robotic arm is positioned over a wooden table with a red circular mat, manipulating three blocks: a green cube, a purple cube, and a blue cylinder. The robot repeatedly picks up and places down the blocks, rearranging their positions on the mat. The camera maintains a fixed, elevated perspective from behind the...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/e1f52be6-9c87-4966-b350-ac37614ab86e/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/e1f52be6-9c87-4966-b350-ac37614ab86e/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/e1f52be6-9c87-4966-b350-ac37614ab86e/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/e1f52be6-9c87-4966-b350-ac37...
null
null
null
null
null
no_context
v5_curated
null
Put the green cube on the target place, then stack the purple cube on the green cube.
333826fb-911a-4564-a6b8-c6ad6151b5b6
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0662_01.mp4
<image> These are frames of a video. Approximately how far (in meters) did the camera move between frame 9 and frame 21 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_displacement
vlm3r_vstibench
scene0662_01
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nApproximately how far (in meters) did the camera move between frame 9 and frame 21 of 32?\nPlease answer the question using a single wo...
The video shows a tour of a hotel bathroom, with the camera panning across various fixtures including a wall-mounted hairdryer, a sink with toiletries, a toilet, a bathtub with a shower curtain, and a small trash can. The camera moves around the space, capturing different angles of the room’s contents without any peopl...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0662_01/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0662_01/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0662_01/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0662_01/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0662_01/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
0.7
31138
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/v_ZdUUBA1czgY.mp4
What is the condition of the bleachers during the event?
[]
spacer_free-form
spacer_LLaVA-Video-178K_0_30_s_academic_v0_1
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhat is the condition of the bleachers during the event?" }, { "from": "gpt", "value": "The bleachers are empty during the event." } ]
A male athlete in a blue shirt and black shorts walks onto a concrete throwing circle on a grassy field, preparing for a discus throw. He begins his throwing motion, rotating his body and extending his arm to release the discus, then stands still after completing the throw. The camera remains stationary throughout, cap...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/v_ZdUUBA1czgY/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/v_ZdUUBA1czgY/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/v_ZdUUBA1czgY/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/v_ZdUUBA1czgY/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/v_ZdUUBA1czgY/04.jpg", "/data1/hba...
null
null
null
null
null
no_context
v5_curated
null
The bleachers are empty during the event.
54008
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/video_8571.mp4
If the person tried to turn on the lighting device and it was not working, what was the reason for that?
[ "A. A. The device worked when the person tried to turn it on.", "B. B. The lighting device did not work most likely because it was already unplugged at the beginning of the video.", "C. C. The lighting device did not work because the person unplugged the device during the video." ]
spacer_multiple choice
spacer_PerceptionTest_train
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nIf the person tried to turn on the lighting device and it was not working, what was the reason for that?\n(A) A. The device worked when the person tried to turn it o...
A person is interacting with a notebook on a small table covered with a white cloth. They open the notebook, briefly look inside, then close it and place it back on the table. The person then picks up a pen from the table, holds it for a moment, and places it back down. The scene is illuminated by a lit table lamp, and...
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null
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null
[ "/data1/hbatra/4DReasoner_v5/frames/video_8571/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_8571/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_8571/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_8571/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_8571/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
A
ed44d0d3-a56a-4fe6-8c79-7d1e8c7c6ac4
/data1/hbatra/training_datasets_raw/robofac/simulation_data/MicrowaveTask-mug/spoon_upright_view5/ed44d0d3-a56a-4fe6-8c79-7d1e8c7c6ac4.mp4
<video> From the video of the robotic arm failing during the task, provide high-level corrective commands to guide it to recover and finish the task.
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nFrom the video of the robotic arm failing during the task, provide high-level corrective commands to guide it to recover and finish the task." }, { "from": "...
In a room with wooden floors and a microwave, a white robotic arm with black joints is shown performing a sequence of movements. It first picks up a red mug from the floor, then moves it towards the microwave, and finally places it on the microwave's door. The camera remains stationary throughout the sequence, providin...
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[ "/data1/hbatra/4DReasoner_v5/frames/ed44d0d3-a56a-4fe6-8c79-7d1e8c7c6ac4/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/ed44d0d3-a56a-4fe6-8c79-7d1e8c7c6ac4/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/ed44d0d3-a56a-4fe6-8c79-7d1e8c7c6ac4/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/ed44d0d3-a56a-4fe6-8c79-7d1e...
null
null
null
null
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no_context
v5_curated
null
To recover from the failure, the robot arm should perform the following subtasks: 1. Move the spoon slightly upward to adjust its position. 2. Rotate the spoon again to ensure that it is upright. 3. Check the orientation of the spoon once more. 4. If the spoon is upright, proceed to move the spoon towards the mug and p...
37098
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/split_1.mp4
How many types of ingredients are visible in the bowl at the end of the video?
[ "A. A. Three", "B. B. Four", "C. C. Five", "D. D. Two" ]
spacer_multiple choice
spacer_LLaVA-Video-178K_0_30_s_academic_v0_1
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nHow many types of ingredients are visible in the bowl at the end of the video?\n(A) A. Three\n(B) B. Four\n(C) C. Five\n(D) D. Two" }, { "from": "gpt", "...
A person is preparing raw chicken pieces in a clear glass bowl on a granite countertop. They first mix the chicken with their hand, then add a white powder, likely flour or cornstarch, before using two forks to toss and coat the pieces. The camera remains stationary, focused on the bowl and the person's hands performin...
null
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null
[ "/data1/hbatra/4DReasoner_v5/frames/split_1/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_1/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_1/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_1/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_1/04.jpg", "/data1/hbatra/4DReasoner_v5/frames/split...
null
null
null
null
null
no_context
v5_curated
null
B
51879
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/video_09984.mp4
Analyze the video and select the best option for the following multiple choice question. Question: Which event will happen next? Options:
[ "A. A. The metal sphere collides with the green object", "B. B. The green object and the cube collide" ]
spacer_multiple choice
spacer_CLEVRER
null
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[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nAnalyze the video and select the best option for the following multiple choice question.\nQuestion: Which event will happen next?\nOptions:\n(A) A. The metal sphere ...
The video shows several geometric shapes on a flat, light-gray surface: a gold cube, a blue cylinder, a cyan sphere, a gold sphere, and a brown cylinder. Over the sequence, the gold sphere rolls slightly, and a green sphere rolls into view from the bottom left. The camera remains stationary throughout, providing a cons...
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[ "/data1/hbatra/4DReasoner_v5/frames/video_09984/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_09984/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_09984/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_09984/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_09984/04.jpg", "/data1/hbatra/4DReas...
null
null
null
null
null
no_context
v5_curated
null
A
4ab6f2d8-0a48-448f-9c99-2e9d318b989e
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0073_00.mp4
<image> These are frames of a video. Approximately how far (in meters) did the camera move between frame 23 and frame 29 of 32? Please answer the question using a single word or phrase.
[]
vstibench_camera_displacement
vlm3r_vstibench
scene0073_00
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nApproximately how far (in meters) did the camera move between frame 23 and frame 29 of 32?\nPlease answer the question using a single w...
The video shows a bedroom with a blue metal chair, a bed with a dumbbell resting on it, and a white dresser topped with trophies and clothes. The camera pans across the room, capturing a radiator, a small trash can, and a coat hanging on a hook near patterned curtains. The camera also moves to show a closed white door ...
null
null
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null
[ "/data1/hbatra/4DReasoner_v5/frames/scene0073_00/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0073_00/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0073_00/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0073_00/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/scene0073_00/04.jpg", "/data1/hbatra/4...
null
null
null
null
null
no_context
v5_curated
null
0.9
da400b31-440b-4b1a-adfd-971d5ee43ea5
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/e050c15a8d.mp4
These are frames of a video. Measuring from the closest point of each object, what is the direct distance between the whiteboard eraser and the sofa (in meters)? Please answer the question using a single word or phrase.
[]
vsibench_scannetpp
vlm3r_vsibench
e050c15a8d
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nMeasuring from the closest point of each object, what is the direct distance between the whiteboard eraser and the sofa (in meters)?\nP...
The video presents a series of static shots across multiple rooms, primarily showing office and meeting spaces in various states of use or disarray. Visible objects include desks with computers, office chairs, a mannequin head, a rolling cart loaded with equipment, stacks of cardboard boxes, trash bins, a whiteboard, a...
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[ "/data1/hbatra/4DReasoner_v5/frames/e050c15a8d/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/e050c15a8d/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/e050c15a8d/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/e050c15a8d/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/e050c15a8d/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
2.6
d06c1420-70db-4e2b-8ee6-b7bd1142803d
/data1/hbatra/training_datasets_raw/robofac/simulation_data/MicrowaveTask-knife/microwave_close_view3/d06c1420-70db-4e2b-8ee6-b7bd1142803d.mp4
<video> Can you identify what task the robot is doing in the provided video?
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nCan you identify what task the robot is doing in the provided video?" }, { "from": "gpt", "value": "Put the knife in the cup and put them in the microwav...
A white robotic arm, identified as a Franka Emika model, is shown performing a sequence of actions on a light purple wooden floor. It first picks up a red-handled tool from the ground, then uses its gripper to place the tool into a green cup. The robot then moves the cup and places it onto an open shelf inside a nearby...
null
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null
[ "/data1/hbatra/4DReasoner_v5/frames/d06c1420-70db-4e2b-8ee6-b7bd1142803d/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/d06c1420-70db-4e2b-8ee6-b7bd1142803d/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/d06c1420-70db-4e2b-8ee6-b7bd1142803d/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/d06c1420-70db-4e2b-8ee6-b7bd...
null
null
null
null
null
no_context
v5_curated
null
Put the knife in the cup and put them in the microwave
c7f422f1-f09b-407f-9257-d6ff9b4ada99
/data1/hbatra/training_datasets_raw/robofac/simulation_data/UprightStack-v1/reach_peg_view0_position_offset/c7f422f1-f09b-407f-9257-d6ff9b4ada99.mp4
<video> In the video, the robotic arm executes a task. Please break down its execution into a sequence of subtasks.
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nIn the video, the robotic arm executes a task. Please break down its execution into a sequence of subtasks." }, { "from": "gpt", "value": "1. Reach for t...
A white robotic arm is shown manipulating a purple rectangular block on a wooden table. The robot picks up the block, lifts it, and then places it vertically on top of a red cube, leaving a green cube untouched. The camera maintains a fixed, slightly elevated perspective, focusing on the robotic arm and the objects on ...
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null
[ "/data1/hbatra/4DReasoner_v5/frames/c7f422f1-f09b-407f-9257-d6ff9b4ada99/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/c7f422f1-f09b-407f-9257-d6ff9b4ada99/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/c7f422f1-f09b-407f-9257-d6ff9b4ada99/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/c7f422f1-f09b-407f-9257-d6ff...
null
null
null
null
null
no_context
v5_curated
null
1. Reach for the long block. 2. Grasp the long block. 3. Lift the long block. 4. Move the long block to the red cube. 5. Stack the long block on the red cube.
39bc5285-883c-4e25-a39d-21bb24ae4fee
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/290ef3f2c9.mp4
These are frames of a video. Measuring from the closest point of each object, which of these objects (smoke detector, soap dispenser, sink, bottle) is the closest to the towel? If there are multiple instances of an object category, measure to the closest. Options: A. smoke detector B. soap dispenser C. sink D. bottle A...
[ "A. smoke detector", "B. soap dispenser", "C. sink", "D. bottle" ]
vsibench_scannetpp
vlm3r_vsibench
290ef3f2c9
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nMeasuring from the closest point of each object, which of these objects (smoke detector, soap dispenser, sink, bottle) is the closest t...
The video presents a series of static shots showcasing a modern, clean kitchen and adjacent utility area. The main visible objects include white cabinets, stainless steel countertops and appliances (like a kettle, dishwasher, and oven), white subway tiles on the walls, and a window with blinds. The camera pans and tilt...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/290ef3f2c9/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/290ef3f2c9/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/290ef3f2c9/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/290ef3f2c9/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/290ef3f2c9/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
C
53688
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ytb_J-A-7yhaiaM.mp4
Which direction does the person move when they stand up from the table?
[ "A. A. Towards the door", "B. B. Towards the wall", "C. C. Towards the window", "D. D. Towards the table" ]
spacer_multiple choice
spacer_LLaVA-Video-178K_30_60_s_youtube_v0_1
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhich direction does the person move when they stand up from the table?\n(A) A. Towards the door\n(B) B. Towards the wall\n(C) C. Towards the window\n(D) D. Towards ...
In a dimly lit, futuristic room, a person in a jumpsuit sits at a table, watching holographic projections on a wall. The projections show various figures, including a woman, an older man, and later, Thor, Valkyrie, and Loki standing together, followed by a scene of a large figure and a smaller one interacting. The pers...
null
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null
[ "/data1/hbatra/4DReasoner_v5/frames/ytb_J-A-7yhaiaM/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_J-A-7yhaiaM/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_J-A-7yhaiaM/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_J-A-7yhaiaM/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_J-A-7yhaiaM/04.jpg", "...
null
null
null
null
null
no_context
v5_curated
null
B
40442
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/video_01376.mp4
Analyze the video and select the best option for the following multiple choice question. Question: Which of the following is not responsible for the metal sphere's colliding with the yellow object? Options:
[ "A. A. the collision between the brown cube and the metal sphere", "B. B. the presence of the brown metal object", "C. C. the cylinder's entering the scene", "D. D. the brown cube's entrance" ]
spacer_multiple choice
spacer_CLEVRER
null
null
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null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nAnalyze the video and select the best option for the following multiple choice question.\nQuestion: Which of the following is not responsible for the metal sphere's ...
The video shows a static scene with several geometric shapes on a flat, light-gray surface. A shiny green sphere, a matte green sphere, a green cube, and a yellow cube are initially visible. A metallic gold cube then slides into the frame from the right, followed by a cyan cylinder that appears to the right of the gold...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/video_01376/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_01376/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_01376/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_01376/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/video_01376/04.jpg", "/data1/hbatra/4DReas...
null
null
null
null
null
no_context
v5_curated
null
C
3b13aa40-d1a5-4c41-8228-be3f6cf0575d
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/ea3b3710a2.mp4
These are frames of a video. If I am standing by the backpack and facing the speaker, is the blanket to the left or the right of the speaker? Options: A. left B. right Answer with the option's letter from the given choices directly.
[ "A. left", "B. right" ]
vsibench_scannetpp
vlm3r_vsibench
ea3b3710a2
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the backpack and facing the speaker, is the blanket to the left or the right of the speaker?\nOptions:\nA. left\nB....
The video shows a brief tour of a small, cluttered room, likely a bedroom or dormitory. The camera pans across various areas, including a closet with clothes and shoes, a desk with a chair, shelves holding personal items like protein powder and toiletries, and a bed with a dark blanket. The camera moves from a low angl...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/ea3b3710a2/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/ea3b3710a2/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/ea3b3710a2/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/ea3b3710a2/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/ea3b3710a2/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
A
98d7e42c-221d-41d4-a823-8e2d566fdf8a
/data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation-v1/cubeB_grasp_view2_position_offset/98d7e42c-221d-41d4-a823-8e2d566fdf8a.mp4
<video> Please describe the error type that occurred during the robotic arm's execution of the task. (Your answer should choose one of the following options: ['Orientation deviation.', 'Step omission.', 'Wrong target object.', 'Timing error.', 'Grasping error.', 'Position deviation.'])
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nPlease describe the error type that occurred during the robotic arm's execution of the task. (Your answer should choose one of the following options: ['Orientation d...
A robotic arm with a gripper is manipulating small colored blocks on a wooden table. It picks up the green block and places it onto a red and white target, then proceeds to pick up the purple block and move it around the table. The camera maintains a fixed, top-down perspective throughout the sequence.
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/98d7e42c-221d-41d4-a823-8e2d566fdf8a/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/98d7e42c-221d-41d4-a823-8e2d566fdf8a/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/98d7e42c-221d-41d4-a823-8e2d566fdf8a/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/98d7e42c-221d-41d4-a823-8e2d...
null
null
null
null
null
no_context
v5_curated
null
Position deviation.
d4627df5-d8d5-4f21-9bcd-3124a5a59a4d
/data1/hbatra/training_datasets_raw/robofac/simulation_data/PullCube-v1/reach_view0_position_offset/d4627df5-d8d5-4f21-9bcd-3124a5a59a4d.mp4
<video> Based on the video showing a robotic arm carrying out a task, please generate a sequence of subtasks for its execution.
[]
robofac_action_qa
robofac
null
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nBased on the video showing a robotic arm carrying out a task, please generate a sequence of subtasks for its execution." }, { "from": "gpt", "value": "1....
A single robotic arm with a gripper is positioned over a wooden table, moving to grasp a small blue cube. The arm lowers its gripper toward the cube, then lifts it slightly before moving it toward a red and white circular target on the table. The camera maintains a static, slightly elevated perspective, capturing the e...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/d4627df5-d8d5-4f21-9bcd-3124a5a59a4d/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/d4627df5-d8d5-4f21-9bcd-3124a5a59a4d/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/d4627df5-d8d5-4f21-9bcd-3124a5a59a4d/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/d4627df5-d8d5-4f21-9bcd-3124...
null
null
null
null
null
no_context
v5_curated
null
1. Reach for the cube. 2. Grasp the cube. 3. Pull the cube to the target position.
5e7eb859-1aee-4ef8-b20a-55f016425e5b
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/a4f10da05d.mp4
These are frames of a video. Measuring from the closest point of each object, what is the direct distance between the basket and the door (in meters)? Please answer the question using a single word or phrase.
[]
vsibench_scannetpp
vlm3r_vsibench
a4f10da05d
null
null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nMeasuring from the closest point of each object, what is the direct distance between the basket and the door (in meters)?\nPlease answe...
The video presents a tour of a small, personalized bedroom, showcasing its layout and contents from various angles. The camera pans across the room, revealing a bed with multiple plush toys, a pink mini-fridge, a desk with a computer setup, and a clothes drying rack. The perspective shifts from close-ups of objects lik...
null
null
null
null
null
[ "/data1/hbatra/4DReasoner_v5/frames/a4f10da05d/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/a4f10da05d/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/a4f10da05d/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/a4f10da05d/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/a4f10da05d/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
null
null
null
no_context
v5_curated
null
3.4
447281fe-8be7-4157-8baa-93e10c9a457c
/data1/hbatra/training_datasets_raw/robofac/simulation_data/dataset_success_cleaned/PickCube-lock/stack_error/447281fe-8be7-4157-8baa-93e10c9a457c.mp4
<video> In the video, the robotic arm executes a task, was it successful?
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robofac_action_qa
robofac
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[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nIn the video, the robotic arm executes a task, was it successful?" }, { "from": "gpt", "value": "Yes." } ]
A white robotic arm with black joints is positioned in a room with pink walls and a tiled floor. It is holding a small green object and slowly lowering it towards a small, dark object on the floor. The camera maintains a static, side-view perspective of the robotic arm's action.
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[ "/data1/hbatra/4DReasoner_v5/frames/447281fe-8be7-4157-8baa-93e10c9a457c/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/447281fe-8be7-4157-8baa-93e10c9a457c/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/447281fe-8be7-4157-8baa-93e10c9a457c/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/447281fe-8be7-4157-8baa-93e1...
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null
null
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no_context
v5_curated
null
Yes.
12eb2631-c3d0-42b8-b113-453c81e5899c
/data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation-v1/late_grasp_cubeA_view0_position_offset/12eb2631-c3d0-42b8-b113-453c81e5899c.mp4
<video> In this video, an error happened while the robotic arm was performing the task, please suggest high-level recovery steps so the robot can continue and complete the task.
[]
robofac_action_qa
robofac
null
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null
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[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nIn this video, an error happened while the robotic arm was performing the task, please suggest high-level recovery steps so the robot can continue and complete the t...
A white robotic arm is manipulating colored blocks on a wooden table. It sequentially picks up a green cube from a pink circular mat and places it onto a red and white target on the table, then proceeds to pick up a purple cube from the same mat. The camera maintains a static, high-angle perspective, observing the robo...
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[ "/data1/hbatra/4DReasoner_v5/frames/12eb2631-c3d0-42b8-b113-453c81e5899c/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/12eb2631-c3d0-42b8-b113-453c81e5899c/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/12eb2631-c3d0-42b8-b113-453c81e5899c/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/12eb2631-c3d0-42b8-b113-453c...
null
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null
null
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no_context
v5_curated
null
To recover from the failure, the robot arm should first execute the subtask of aligning with the green cube accurately during the rotation process. It should then close the gripper at the appropriate moment, ensuring a firm grasp on the green cube. Following a successful grasp, the robot arm should move the green cube ...
50244
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ytb_c5VroIxz8QE.mp4
What are the hands doing in the video?
[ "A. A. Drawing on the paper", "B. B. Folding the paper to create an origami design", "C. C. Painting the paper", "D. D. Cutting the paper" ]
spacer_multiple choice
spacer_LLaVA-Video-178K_30_60_s_youtube_v0_1
null
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[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhat are the hands doing in the video?\n(A) A. Drawing on the paper\n(B) B. Folding the paper to create an origami design\n(C) C. Painting the paper\n(D) D. Cutting ...
A pair of hands is folding a single sheet of purple paper on a dark surface. The hands manipulate the paper through a series of precise creases and folds, transforming its shape from a rectangle into a more complex, angular form. The camera maintains a consistent top-down perspective throughout the sequence, focusing o...
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[ "/data1/hbatra/4DReasoner_v5/frames/ytb_c5VroIxz8QE/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_c5VroIxz8QE/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_c5VroIxz8QE/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_c5VroIxz8QE/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/ytb_c5VroIxz8QE/04.jpg", "...
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null
no_context
v5_curated
null
B
40609
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/split_4.mp4
What is added to the pan after the onions and garlic?
[ "A. A. Sliced chicken breast", "B. B. Raw, cubed red meat", "C. C. Chopped vegetables", "D. D. Diced potatoes" ]
spacer_multiple choice
spacer_LLaVA-Video-178K_0_30_s_academic_v0_1
null
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[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhat is added to the pan after the onions and garlic?\n(A) A. Sliced chicken breast\n(B) B. Raw, cubed red meat\n(C) C. Chopped vegetables\n(D) D. Diced potatoes" ...
A person is cooking a dish in a stainless steel pot on a white stovetop, stirring chopped green vegetables and noodles with a wooden spoon. They then add salt from a red and white "REAL SALT" packet into the pot. The camera is positioned overhead, looking directly down at the cooking pot and the person’s hands.
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[ "/data1/hbatra/4DReasoner_v5/frames/split_4/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_4/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_4/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_4/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/split_4/04.jpg", "/data1/hbatra/4DReasoner_v5/frames/split...
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null
no_context
v5_curated
null
B
56295
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/6002172187.mp4
Why is the lady in blue and green singlet sitting beside the lying man smiling at the start of the video? Options:
[ "A. A. phone call.", "B. B. to listen to her.", "C. C. to watch.", "D. D. enjoying the activity.", "E. E. driving car." ]
spacer_multiple choice
spacer_NeXT-QA_30_60_s_nextqa
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[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhy is the lady in blue and green singlet sitting beside the lying man smiling at the start of the video?\nOptions:\n(A) A. phone call.\n(B) B. to listen to her.\n(C...
Several people are gathered on a floor covered with newspapers, engaged in a collaborative art project. They are sitting or kneeling, using various art supplies like paint, brushes, and markers to create colorful artwork on paper. The camera moves around the group, offering close-ups of the art pieces and wider shots s...
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[ "/data1/hbatra/4DReasoner_v5/frames/6002172187/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/6002172187/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/6002172187/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/6002172187/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/6002172187/04.jpg", "/data1/hbatra/4DReasoner_...
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no_context
v5_curated
null
D
41993
/data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/v_dZyb8t-4ATQ.mp4
What tool does the person use to mark the molding?
[ "A. A. A utility knife", "B. B. A ruler", "C. C. A pencil", "D. D. A marker" ]
spacer_multiple choice
spacer_LLaVA-Video-178K_0_30_s_academic_v0_1
null
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[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nWhat tool does the person use to mark the molding?\n(A) A. A utility knife\n(B) B. A ruler\n(C) C. A pencil\n(D) D. A marker" }, { "from": "gpt", "value"...
A person is installing carpet and base molding in a room. They are seen gluing carpet squares, positioning and cutting base molding to fit, and then re-installing it along the wall. The camera provides close-up shots of the hands performing the tasks and wider shots showing the progress, with on-screen text guiding the...
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[ "/data1/hbatra/4DReasoner_v5/frames/v_dZyb8t-4ATQ/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/v_dZyb8t-4ATQ/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/v_dZyb8t-4ATQ/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/v_dZyb8t-4ATQ/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/v_dZyb8t-4ATQ/04.jpg", "/data1/hba...
null
null
null
null
null
no_context
v5_curated
null
C
354f6ee4-1712-421f-a7ee-af0218699f68
/data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/b37c033757.mp4
These are frames of a video. Measuring from the closest point of each object, which of these objects (bucket, shelf, sink, trash can) is the closest to the backpack? If there are multiple instances of an object category, measure to the closest. Options: A. bucket B. shelf C. sink D. trash can Answer with the option's l...
[ "A. bucket", "B. shelf", "C. sink", "D. trash can" ]
vsibench_scannetpp
vlm3r_vsibench
b37c033757
null
null
null
null
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null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nMeasuring from the closest point of each object, which of these objects (bucket, shelf, sink, trash can) is the closest to the backpack...
The video provides a tour of a workshop or industrial training facility, showcasing various pieces of machinery, tool cabinets, and workbenches. The camera pans across the space, revealing a CNC machine, green tool chests, a workbench with metal parts, and large windows with blinds. No people are visible in the frames,...
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[ "/data1/hbatra/4DReasoner_v5/frames/b37c033757/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/b37c033757/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/b37c033757/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/b37c033757/03.jpg", "/data1/hbatra/4DReasoner_v5/frames/b37c033757/04.jpg", "/data1/hbatra/4DReasoner_...
null
null
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no_context
v5_curated
null
A
0274514d-d8d6-4f5f-96d1-0dbdb0c3a5ea
/data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation2-gen1/late_pull_cubeA_view2_position_offset/0274514d-d8d6-4f5f-96d1-0dbdb0c3a5ea.mp4
<video> In this video, an error happened while the robotic arm was performing the task, please suggest high-level recovery steps so the robot can continue and complete the task.
[]
robofac_action_qa
robofac
null
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null
null
null
null
null
[ { "from": "human", "value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nIn this video, an error happened while the robotic arm was performing the task, please suggest high-level recovery steps so the robot can continue and complete the t...
A white robotic arm with black joints is positioned above a red circular mat on a light-colored floor. The robot's end effector moves around the mat, appearing to interact with or reposition a small red sphere and a small blue sphere, while a small cyan cube remains stationary on the mat's edge. The camera maintains a ...
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[ "/data1/hbatra/4DReasoner_v5/frames/0274514d-d8d6-4f5f-96d1-0dbdb0c3a5ea/00.jpg", "/data1/hbatra/4DReasoner_v5/frames/0274514d-d8d6-4f5f-96d1-0dbdb0c3a5ea/01.jpg", "/data1/hbatra/4DReasoner_v5/frames/0274514d-d8d6-4f5f-96d1-0dbdb0c3a5ea/02.jpg", "/data1/hbatra/4DReasoner_v5/frames/0274514d-d8d6-4f5f-96d1-0dbd...
null
null
null
null
null
no_context
v5_curated
null
To recover from the failure, the robot arm should first pause the operation to reassess the situation. The arm should then wait for the green cube to come into the correct position where it is stationary directly in front of the arm. Once the green cube is aligned and still, the robot should initiate the pull action to...
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