video_id stringlengths 5 36 | video_path stringlengths 79 157 | question stringlengths 18 548 | options listlengths 0 5 | category stringclasses 16
values | source_dataset stringclasses 10
values | scene_name stringlengths 8 13 ⌀ | reasoning_qual null | reasoning_quant null | cot_gen_prompt_qual null | cot_gen_prompt_quant null | sharegpt_cot_qual null | sharegpt_cot_quant null | sharegpt_no_cot listlengths 2 2 | caption stringlengths 191 975 | 4D_facts null | extracted_4d_data null | cited_fact_id null | candidate_facts null | context_fact_ids null | frame_paths listlengths 16 16 | frame_indices null | timestamps null | frame_sample_fps null | frame_type null | video_complexity null | context_mode stringclasses 1
value | prompt_version stringclasses 1
value | difficulty null | correct_answer stringlengths 1 2.56k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
79bcd546-d2f9-4e42-af36-ec05a5ce22d9 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/7977624358.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (table, telephone, smoke detector, light switch) is the closest to the heater?
If there are multiple instances of an object category, measure to the closest.
Options:
A. table
B. telephone
C. smoke detector
D. light swi... | [
"A. table",
"B. telephone",
"C. smoke detector",
"D. light switch"
] | vsibench_scannetpp | vlm3r_vsibench | 7977624358 | 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 (table, telephone, smoke detector, light switch) is the closest... | The video shows a modern office or meeting room with various seating arrangements, including a recliner with a footrest, a sofa, and several chairs, all situated around a wooden coffee table. The camera pans across the room, capturing different angles of the furniture and large windows that look out onto a building atr... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/7977624358/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7977624358/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7977624358/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7977624358/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7977624358/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | D |
51587185-d8ab-46a4-a79b-c6e3f594d4c7 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/9f79564dbf.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the laptop and the box (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 9f79564dbf | 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 laptop and the box (in meters)?\nPlease answer... | The video presents a series of static shots within a laboratory or technical workspace, showcasing various equipment, furniture, and storage areas. Visible objects include grey filing cabinets, workbenches with scientific instruments like 3D printers and analytical machines, green lab cabinets, a small refrigerator, an... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/9f79564dbf/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9f79564dbf/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9f79564dbf/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9f79564dbf/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9f79564dbf/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 0.4 |
1b42cdde-957f-44a4-8d23-3bfffa25c011 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0241_01.mp4 | These are frames of a video.
If I am standing by the desk and facing the bookshelf, is the lamp 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-left
C... | [
"A. back-left",
"B. front-left",
"C. front-right",
"D. back-right"
] | vsibench_scannet | vlm3r_vsibench | scene0241_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 desk and facing the bookshelf, is the lamp to my front-left, front-right, back-left, or back-right?\nThe direct... | The video shows a cluttered study area with a glass-topped desk, a black office chair with a zebra-print cover, and various items like books, a lamp, and storage bins scattered around. The camera pans across the room, capturing the disorganized state of the space, including stacks of books on the floor, a blue storage ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0241_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0241_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0241_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0241_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0241_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | C |
7c06f61e-b544-4be2-b427-db91dfd67d46 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0224_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 11 and frame 23 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Backward, Forward, and Left.
Options:
A. Backward
B. Forward
C. Left
Answer with the option's letter ... | [
"A. Backward",
"B. Forward",
"C. Left"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0224_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 11 and frame 23 of 32, what was the primary consistent direction of the camera's movement relative to... | The video shows a stationary view of a bedroom setup featuring a black bunk bed with a lower gray sofa underneath, a wooden wardrobe, and a lit floor lamp. The camera pans slightly around the space, capturing details like a decorative mirror, shelves with books, and a cowhide-patterned rug on the floor. No people or an... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0224_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0224_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0224_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0224_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0224_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | C |
c33c4121-bf0f-428c-b185-2736980a385e | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0200_02.mp4 | <image>
These are frames of a video.
In frame 11 of 31, relative to window, is bed to the [Left/Right]?
Options:
A. Right
B. Left
Answer with the option's letter from the given choices directly. | [
"A. Right",
"B. Left"
] | vstibench_obj_obj_relative_pos_lr | vlm3r_vstibench | scene0200_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.\nIn frame 11 of 31, relative to window, is bed to the [Left/Right]?\nOptions:\nA. Right\nB. Left\nAnswer with the option's letter from t... | The video shows a simple, unoccupied dorm room with a wooden bed, a desk with a chair, a nightstand, and a dresser. The camera pans around the room, offering views of the furniture and a closet with sliding doors. There are no people or animals visible, and the camera moves slowly, capturing different angles of the roo... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0200_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0200_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0200_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0200_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0200_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
9f2d53f1-4d90-4c0f-8812-fe04ce89b316 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/UprightStack-gen2/lift_peg_view2_speed_offset/9f2d53f1-4d90-4c0f-8812-fe04ce89b316.mp4 | <video>
In the video, the robotic arm executes a task, was it 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, was it successful?"
},
{
"from": "gpt",
"value": "No."
}
] | In a static, wide-angle view of a room with tiled flooring, a white robotic arm is positioned over a small white robot on the floor. The robotic arm is slowly moving its end effector closer to the small robot, appearing to interact with it. Several other objects, including a colorful cube, a small ball, and a light blu... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/9f2d53f1-4d90-4c0f-8812-fe04ce89b316/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9f2d53f1-4d90-4c0f-8812-fe04ce89b316/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9f2d53f1-4d90-4c0f-8812-fe04ce89b316/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9f2d53f1-4d90-4c0f-8812-fe04... | null | null | null | null | null | no_context | v5_curated | null | No. |
bb7fb67c-d886-48d2-b4e6-5dca71bbe21b | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/9ee1527aa6.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (soap dispenser, heater, window, clock) is the closest to the storage cabinet?
If there are multiple instances of an object category, measure to the closest.
Options:
A. soap dispenser
B. heater
C. window
D. clock
Answe... | [
"A. soap dispenser",
"B. heater",
"C. window",
"D. clock"
] | vsibench_scannetpp | vlm3r_vsibench | 9ee1527aa6 | 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 (soap dispenser, heater, window, clock) is the closest to the s... | The video shows a tour of a brightly lit, spacious room with orange flooring and green curtains, likely a children’s activity or playroom. The camera pans across the room, showing a sink area with a red bucket on a chair, a wooden bench, stacks of small stools, and various play equipment like large exercise balls and a... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/9ee1527aa6/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9ee1527aa6/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9ee1527aa6/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9ee1527aa6/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9ee1527aa6/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | C |
29c44d42-3e81-4b41-8b72-e542b8ecf896 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0117_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 16 and frame 25 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Forward and Right.
Options:
A. Forward
B. Right
Answer with the option's letter from the given choice... | [
"A. Forward",
"B. Right"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0117_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 16 and frame 25 of 32, what was the primary consistent direction of the camera's movement relative to... | The video shows a small kitchenette or breakroom area with a sink, cabinets, and various appliances like a coffee maker, toaster, and microwave. The camera pans across the space, revealing a refrigerator with magnets, a round wooden table with a chair, and a first aid kit mounted on the wall. There are no people or ani... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0117_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0117_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0117_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0117_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0117_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
d233a7ad-ac3d-4cf1-9475-8dbb84026a93 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/e4fb2a623b.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (speaker, cup, bottle, ceiling lamp) is the closest to the backpack?
If there are multiple instances of an object category, measure to the closest.
Options:
A. speaker
B. cup
C. bottle
D. ceiling lamp
Answer with the op... | [
"A. speaker",
"B. cup",
"C. bottle",
"D. ceiling lamp"
] | vsibench_scannetpp | vlm3r_vsibench | e4fb2a623b | 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 (speaker, cup, bottle, ceiling lamp) is the closest to the back... | The video shows a tour of an office space with multiple desks, computers, and office chairs. The camera pans across the room, focusing on different workstations cluttered with monitors, keyboards, headphones, and various personal items like a glass, a bottle, and a shopping bag. The camera moves from a wide view of the... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/e4fb2a623b/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e4fb2a623b/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e4fb2a623b/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e4fb2a623b/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e4fb2a623b/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | A |
b4a2c12b-ea42-405e-a1b9-99d05e3add5d | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0126_00.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the window and the chair (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannet | vlm3r_vsibench | scene0126_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.\nMeasuring from the closest point of each object, what is the direct distance between the window and the chair (in meters)?\nPlease answ... | The video shows a cluttered office environment with multiple desks, chairs, and shelves filled with binders, papers, and office supplies. The camera pans across the space, capturing various angles of the workspace, including a whiteboard with writing, a radiator, and a door. There are no visible people or animals, and ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 3.5 |
ce3c781b-63ad-41ba-bbfd-301065978f6a | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0572_01.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 11 and frame 26 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0572_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 11 and frame 26 of 32?\nPlease answer the question using a single w... | The video shows a quiet, well-lit library or study area with multiple seating arrangements. It features several modern chairs—some dark brown and others beige—grouped around small round wooden tables, with a larger rectangular table also visible. The camera pans across the space, capturing different angles of the furni... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0572_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0572_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0572_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0572_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0572_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.7 |
030d5b4a-3fa2-4cb1-983d-d61d809f304c | /data1/hbatra/training_datasets_raw/robofac/simulation_data/MicrowaveTask-knife/knife_reach_view3/030d5b4a-3fa2-4cb1-983d-d61d809f304c.mp4 | <video>
This is a video of a robotic arm performing a task, please explain in detail the reason for the task failure. | [] | 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 explain in detail the reason for the task failure."
},
{
"from": "gpt",
"value": "The task fai... | In a monochromatic purple room, a white robotic arm manipulates a small green cup and a microwave oven. The robot opens the microwave door, places the cup inside, and then closes the door, all while a red tool lies on the floor nearby. The camera remains stationary throughout the sequence, providing a consistent side-v... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/030d5b4a-3fa2-4cb1-983d-d61d809f304c/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/030d5b4a-3fa2-4cb1-983d-d61d809f304c/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/030d5b4a-3fa2-4cb1-983d-d61d809f304c/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/030d5b4a-3fa2-4cb1-983d-d61d... | null | null | null | null | null | no_context | v5_curated | null | The task failed due to a misalignment in the robot arm's positioning while attempting to reach for the knife. In this initial subtask, the arm did not effectively align itself directly above the knife, resulting in an inability to accurately grasp it. This error in alignment not only interfered with the immediate task ... |
cdb4fca3-c2be-4444-a5f7-0e4ba513de40 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0376_01.mp4 | These are frames of a video.
If I am standing by the nightstand and facing the door, is the radiator 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-l... | [
"A. back-left",
"B. front-left",
"C. back-right",
"D. front-right"
] | vsibench_scannet | vlm3r_vsibench | scene0376_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 nightstand and facing the door, is the radiator to my front-left, front-right, back-left, or back-right?\nThe d... | The video shows a simple, sparsely furnished room, likely a dormitory or student bedroom. The camera pans across the space, revealing a wooden desk near a window with sheer curtains, a wooden dresser next to a bed with a dark blue mattress, and a built-in shelf unit under the bed. There are no people or animals visible... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0376_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0376_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0376_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0376_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0376_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
8e97e5a2-f7ed-41f7-a1d0-914542b57017 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/SafeTask-hammer/safe_knob_reach_view1/8e97e5a2-f7ed-41f7-a1d0-914542b57017.mp4 | <video>
In the video, an error occurred during the robot's performance of the task, please give low-level control instructions to help it recover and complete 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>\nIn the video, an error occurred during the robot's performance of the task, please give low-level control instructions to help it recover and complete the task."
}... | A light blue and black robotic arm, branded "FRANKA," is shown in a sequence of movements. It first picks up a hammer from the floor and then carefully places it inside an open, gray safe. The camera maintains a consistent, slightly elevated perspective, tracking the robotic arm's actions as it manipulates the hammer a... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/8e97e5a2-f7ed-41f7-a1d0-914542b57017/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8e97e5a2-f7ed-41f7-a1d0-914542b57017/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8e97e5a2-f7ed-41f7-a1d0-914542b57017/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8e97e5a2-f7ed-41f7-a1d0-9145... | null | null | null | null | null | no_context | v5_curated | null | Move the robot arm slightly forward and to the right to better align with the knob of the safe. Once alignment is achieved, gently lower the arm to prepare for a successful grasp of the knob. |
529f22f5-09a5-4e03-a418-140c02601695 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/d6d9ddb03f.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the mouse and the heater (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | d6d9ddb03f | 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 mouse and the heater (in meters)?\nPlease answ... | The video presents a series of static shots inside an office or meeting room, showcasing various angles of the space. The main visible objects include desks with computers, a whiteboard covered in writing, chairs (some with backpacks), a shelving unit, and a large black protective case on the floor. The camera pans and... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/d6d9ddb03f/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d6d9ddb03f/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d6d9ddb03f/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d6d9ddb03f/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d6d9ddb03f/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 1.2 |
20dd1b74-2455-4492-86f6-75a7a1debca4 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0582_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 12 and frame 22 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | 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.\nApproximately how far (in meters) did the camera move between frame 12 and frame 22 of 32?\nPlease answer the question using a single w... | 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 | 0.4 |
32121 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/v_HddRC-twMLc.mp4 | Why does the person shift their position slightly while juggling? | [] | 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>\nWhy does the person shift their position slightly while juggling?"
},
{
"from": "gpt",
"value": "To maintain focus and control over the juggling objects.... | A man in a blue t-shirt and green shorts stands in a sparsely furnished room, holding a small pink object. He repeatedly raises the object to his mouth as if eating or tasting it, then lowers it, and repeats the motion. The camera remains stationary throughout, capturing the man from a side-back angle as he moves sligh... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/v_HddRC-twMLc/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/v_HddRC-twMLc/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/v_HddRC-twMLc/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/v_HddRC-twMLc/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/v_HddRC-twMLc/04.jpg",
"/data1/hba... | null | null | null | null | null | no_context | v5_curated | null | To maintain focus and control over the juggling objects. |
0d3af85c-3cd7-4f9d-b3e5-c1d2c5dc603e | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/ec614d4e30.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (smoke detector, heater, whiteboard, window) is the closest to the bottle?
If there are multiple instances of an object category, measure to the closest.
Options:
A. smoke detector
B. heater
C. whiteboard
D. window
Answ... | [
"A. smoke detector",
"B. heater",
"C. whiteboard",
"D. window"
] | vsibench_scannetpp | vlm3r_vsibench | ec614d4e30 | 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, heater, whiteboard, window) is the closest to ... | The video shows a brief tour of a small, sparsely furnished room, likely an office or classroom. The camera pans across the space, revealing a blue door, a whiteboard with some markings, a desk with a laptop, a black case, and a water bottle, alongside a red chair and a suitcase on another table. The camera moves aroun... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ec614d4e30/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ec614d4e30/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ec614d4e30/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ec614d4e30/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ec614d4e30/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | C |
3431009d-7f5b-4c10-b715-610d23875eb6 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0581_02.mp4 | These are frames of a video.
If I am standing by the window and facing the door, is the trash bin 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. back-righ... | [
"A. front-left",
"B. back-right",
"C. front-right",
"D. back-left"
] | vsibench_scannet | vlm3r_vsibench | scene0581_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.\nIf I am standing by the window and facing the door, is the trash bin to my front-left, front-right, back-left, or back-right?\nThe dire... | The video shows a bathroom with a vanity, sink, and mirror cluttered with various items like a hairdryer, bottles, and a fan. The camera pans around the room, revealing a bathtub with a potted plant, laundry baskets, and a trash can. It then moves to show a toilet in a separate alcove and a shower stall with towels han... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0581_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0581_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0581_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0581_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0581_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
9ec90d10-e314-4cb1-9f78-ba50082f534d | /data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation-gen2/move_to_stack_view0_position_offset/9ec90d10-e314-4cb1-9f78-ba50082f534d.mp4 | <video>
Based on the video, an error happened while the robot was executing a task, give detailed low-level instructions to correct the issue and allow the task to be finished. | [] | 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, an error happened while the robot was executing a task, give detailed low-level instructions to correct the issue and allow the task to be finish... | A white robotic arm is manipulating objects on a wooden floor. It first picks up a small gray cube from a red circular mat and places it onto a red and white target on the floor. The robot then moves to pick up a green ball from the mat and places it back down. The camera remains stationary throughout, providing a cons... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/9ec90d10-e314-4cb1-9f78-ba50082f534d/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9ec90d10-e314-4cb1-9f78-ba50082f534d/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9ec90d10-e314-4cb1-9f78-ba50082f534d/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9ec90d10-e314-4cb1-9f78-ba50... | null | null | null | null | null | no_context | v5_curated | null | First, move the robot arm slightly backward to create space for alignment adjustments. Next, shift the robot arm to the left to align it more accurately with the green cube. Finally, lower the end-effector carefully while ensuring the tennis ball is directly above the green cube before attempting to stack. |
201e1017-eccd-4397-b6d4-ea00195ac092 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/027cd6ea0f.mp4 | These are frames of a video.
If I am standing by the sink and facing the table, is the cabinet 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-right
B. front-left
C... | [
"A. back-right",
"B. front-left",
"C. back-left",
"D. front-right"
] | vsibench_scannetpp | vlm3r_vsibench | 027cd6ea0f | 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 sink and facing the table, is the cabinet to my front-left, front-right, back-left, or back-right?\nThe directi... | The video presents a series of static shots of a compact, utilitarian kitchen with a distinctive red accent wall and white cabinetry. The space is cluttered with various kitchen items, including pots, pans, dishes, and utensils, some of which are piled on the countertops and a metal shelving unit. The camera pans and t... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/027cd6ea0f/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/027cd6ea0f/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/027cd6ea0f/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/027cd6ea0f/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/027cd6ea0f/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | D |
3ab58a17-833a-4f18-8ad2-6efb9bf2bc0c | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0646_01.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 7 and frame 12 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0646_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 12 of 32?\nPlease answer the question using a single wo... | The video shows a stationary exercise bike positioned on a hardwood floor near a wooden staircase railing, with a red-covered keyboard stand nearby. The camera pans around the room, revealing a black leather sofa, a cluttered desk with a computer monitor, an orange laptop, and a floral-patterned chair. The perspective ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0646_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0646_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0646_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0646_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0646_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 3.9 |
32735 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/split_2.mp4 | What is the main activity depicted in the video? | [
"A. A. Cleaning the kitchen",
"B. B. Preparing a meal",
"C. C. Shopping for groceries",
"D. D. Setting the table"
] | 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 main activity depicted in the video?\n(A) A. Cleaning the kitchen\n(B) B. Preparing a meal\n(C) C. Shopping for groceries\n(D) D. Setting the table"
},... | A person is adding a dark sauce from a bottle into a white bowl containing cubed meat and a yellow spatula. The camera focuses closely on the bowl as the sauce is poured, then briefly shows the bottle's label before returning to the bowl. The camera remains mostly stationary, with slight movements to follow the pouring... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/split_2/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_2/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_2/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_2/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_2/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split... | null | null | null | null | null | no_context | v5_curated | null | B |
9c2c31bc-334c-4b50-954c-532233245c2f | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0238_01.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 15 and frame 29 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0238_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 15 and frame 29 of 32?\nPlease answer the question using a single w... | A man in a plaid shirt sits in an office chair at a desk with a laptop and monitor, looking toward the camera. The camera pans around the room, showing another empty chair, a whiteboard with writing, shelves with books and boxes, and a doorway leading to another office space. The footage is blurry, suggesting quick, ha... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0238_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0238_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0238_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0238_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0238_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 0.4 |
54289 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/CBG3N.mp4 | What is the color of the crochet covers on the black round tables? | [
"A. A. Red and orange",
"B. B. Green and yellow",
"C. C. Pink and black",
"D. D. Blue and white"
] | 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 color of the crochet covers on the black round tables?\n(A) A. Red and orange\n(B) B. Green and yellow\n(C) C. Pink and black\n(D) D. Blue and white"
}... | A young girl in a blue jacket and pink pants is seated on a sofa covered with a white lace cloth and two brown pillows. She is initially looking down at a small object in her hands, then shifts her attention to a book she picks up from the sofa. The camera remains stationary throughout, capturing her from a low angle i... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/CBG3N/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/CBG3N/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/CBG3N/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/CBG3N/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/CBG3N/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/CBG3N/05.jpg",
... | null | null | null | null | null | no_context | v5_curated | null | C |
7b96cdc6-97bf-4427-a227-636e57b95814 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/6da1d5ab04.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the tv and the telephone (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 6da1d5ab04 | 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 tv and the telephone (in meters)?\nPlease answ... | The video shows a tour of a hotel room, with the camera moving through the space to capture various elements. It begins near a large wardrobe, pans across the room to show a bed with a wall-mounted lamp, a red armchair, a desk with a chair, and a window with curtains. The camera then moves toward the bathroom, showing ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/6da1d5ab04/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6da1d5ab04/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6da1d5ab04/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6da1d5ab04/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6da1d5ab04/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 0.8 |
9dbf680b-30a3-431e-a928-f9465228d5b5 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/c07c8a276d.mp4 | These are frames of a video.
If I am standing by the light switch and facing the bottle, is the heater 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. back... | [
"A. front-left",
"B. back-left",
"C. front-right",
"D. back-right"
] | vsibench_scannetpp | vlm3r_vsibench | c07c8a276d | 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 light switch and facing the bottle, is the heater to my front-left, front-right, back-left, or back-right?\nThe... | The video presents a series of static shots inside a small, cluttered bedroom. The camera pans across various areas, showing a bed with a pink and purple floral bedspread, shelves filled with clothes, shoes, and miscellaneous items, a desk with a chair draped in a striped blanket, and a window with curtains. No people ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/c07c8a276d/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c07c8a276d/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c07c8a276d/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c07c8a276d/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c07c8a276d/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | A |
c00a8578-d2f5-43b5-bf91-6f748fa92378 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation-gen1/cubeA_grasp_view2_rotation_offset/c00a8578-d2f5-43b5-bf91-6f748fa92378.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. Grasp ... | A robotic arm with a light blue and black design is positioned above a red circular mat on a wooden floor. The robot is repeatedly moving its gripper to pick up and place down small, colored balls (brown, blue, and red) on the mat, while a red and white target is visible nearby. The camera maintains a high-angle, top-d... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/c00a8578-d2f5-43b5-bf91-6f748fa92378/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c00a8578-d2f5-43b5-bf91-6f748fa92378/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c00a8578-d2f5-43b5-bf91-6f748fa92378/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c00a8578-d2f5-43b5-bf91-6f74... | null | null | null | null | null | no_context | v5_curated | null | 1. Grasp the apple.
2. Move the apple to the target place.
3. Grasp the orange.
4. Stack the orange on the apple. |
47944 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/split_3.mp4 | What is the person in the kitchen wearing? | [
"A. A. A blue shirt and a white apron",
"B. B. A green shirt and a white apron",
"C. C. A green shirt and a black apron",
"D. D. A red shirt and a white apron"
] | 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 in the kitchen wearing?\n(A) A. A blue shirt and a white apron\n(B) B. A green shirt and a white apron\n(C) C. A green shirt and a black apron\n(D... | A person is mixing a green, textured paste in a white bowl using their hands. The paste, which appears to be made of blended vegetables or grains, has various spices—red, brown, and white—added to it before being thoroughly combined. The camera maintains a close-up, top-down perspective focused on the bowl and the mixi... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/split_3/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_3/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_3/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_3/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_3/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split... | null | null | null | null | null | no_context | v5_curated | null | B |
db1e1f55-753b-4baf-93e0-026d6d7bcd68 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/37562e7f48.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the office chair and the curtain (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 37562e7f48 | 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 office chair and the curtain (in meters)?\nPle... | The video presents a quick, handheld tour of a small, lived-in bedroom. The camera pans across the room, showing a bed with floral pillows, a desk with a computer setup, a white shelving unit, and a clothes drying rack near a window with curtains. The perspective is that of someone walking through the space, capturing ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/37562e7f48/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/37562e7f48/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/37562e7f48/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/37562e7f48/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/37562e7f48/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 0.4 |
a07a8656-f19a-4442-a5cf-7f1221c63bb8 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/UprightStack-gen1/grasp_peg_view1_gripper_error/a07a8656-f19a-4442-a5cf-7f1221c63bb8.mp4 | <video>
This is a video of a robotic arm performing a task, was the task successfully completed? | [] | 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, was the task successfully completed?"
},
{
"from": "gpt",
"value": "No."
}
] | A white and black robotic arm is positioned in the center of a tiled room, facing away from the camera. It is actively manipulating a small, dark reddish-brown rectangular object on the floor, moving its arm in a repetitive, cyclical motion as if performing a task. The camera remains stationary throughout, providing a ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/a07a8656-f19a-4442-a5cf-7f1221c63bb8/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/a07a8656-f19a-4442-a5cf-7f1221c63bb8/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/a07a8656-f19a-4442-a5cf-7f1221c63bb8/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/a07a8656-f19a-4442-a5cf-7f12... | null | null | null | null | null | no_context | v5_curated | null | No. |
893378ee-cdea-4c8f-af72-e5884bcc00b3 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/98b4ec142f.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (blinds, light switch, speaker, soap dispenser) is the closest to the bookshelf?
If there are multiple instances of an object category, measure to the closest.
Options:
A. blinds
B. light switch
C. speaker
D. soap dispe... | [
"A. blinds",
"B. light switch",
"C. speaker",
"D. soap dispenser"
] | vsibench_scannetpp | vlm3r_vsibench | 98b4ec142f | 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 (blinds, light switch, speaker, soap dispenser) is the closest ... | The video shows a computer lab with multiple workstations, each equipped with a monitor, keyboard, and mouse, arranged along long white desks. The camera pans across the room, capturing the empty chairs and the view out of large windows, as well as signs on the walls with rules such as "No food in this room" and "Pleas... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/98b4ec142f/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/98b4ec142f/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/98b4ec142f/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/98b4ec142f/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/98b4ec142f/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
b83bdeba-e384-4eaa-bb5e-c80c9f71ec40 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0444_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 8 and frame 17 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0444_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 8 and frame 17 of 32?\nPlease answer the question using a single wo... | The video shows a white IKEA BILLY bookcase on display in a store, with price tags hanging from its top. The camera pans around the bookcase, revealing that it is mostly empty except for a few colorful books arranged on the shelves and one lying on the floor. The camera moves from a frontal view to side and lower angle... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0444_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0444_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0444_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0444_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0444_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 0.9 |
d1d18e6b-bdc0-436f-abe7-b6da9f40bc5b | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/927aacd5d1.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (box, pillow, table lamp, spray bottle) is the closest to the towel?
If there are multiple instances of an object category, measure to the closest.
Options:
A. box
B. pillow
C. table lamp
D. spray bottle
Answer with the... | [
"A. box",
"B. pillow",
"C. table lamp",
"D. spray bottle"
] | vsibench_scannetpp | vlm3r_vsibench | 927aacd5d1 | 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 (box, pillow, table lamp, spray bottle) is the closest to the t... | The video shows a tour of a bedroom with light wood parquet flooring. The camera pans across the room, revealing a bed with a black duvet, a clothes drying rack with garments, a recliner chair with a footstool, and various storage bins and boxes. The camera moves around the space, sometimes focusing on specific areas l... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/927aacd5d1/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/927aacd5d1/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/927aacd5d1/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/927aacd5d1/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/927aacd5d1/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | A |
42361 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/video_00398.mp4 | Analyze the video and select the best option for the following multiple choice question.
Question: Without the cyan sphere, which of the following will happen?
Options: | [
"A. A. The purple cylinder and the cube collide",
"B. B. The gray object collides with the blue sphere",
"C. C. The purple cylinder collides with the blue sphere",
"D. D. The gray object and the blue cylinder collide"
] | 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: Without the cyan sphere, which of the following will happen?\nOpt... | The video shows several geometric shapes—a blue cube, a shiny blue sphere, a purple cylinder, and two blue cylinders—arranged on a flat, gray surface. Initially, a gray cylinder is partially visible on the right, but it moves out of frame, and the purple cylinder rolls slightly. Later, a new shiny teal sphere appears o... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/video_00398/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_00398/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_00398/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_00398/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_00398/04.jpg",
"/data1/hbatra/4DReas... | null | null | null | null | null | no_context | v5_curated | null | D |
e7396588-65c4-4d5d-8d29-964004691d18 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/c545851c4f.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the mouse and the bag (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | c545851c4f | 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 mouse and the bag (in meters)?\nPlease answer ... | The video shows a tour of a laboratory, with the camera panning across the room to reveal various pieces of equipment, workbenches, and storage areas. Visible objects include lab benches with drawers, a brown two-tiered stool, a cleaning cart, a fume hood, several large white lab machines, cardboard boxes, and shelves ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/c545851c4f/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c545851c4f/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c545851c4f/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c545851c4f/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c545851c4f/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 3.1 |
d464da13-a2bf-4943-abb6-12d1ffcc6f82 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0143_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 25 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0143_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 hotel room with a red armchair and a round ottoman, next to a patterned carpet. An open suitcase with clothes lies on the floor nearby, and a nightstand with a phone and remote is beside the bed. The camera pans around the room, capturing the furniture and items from various angles, suggesting a casua... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0143_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0143_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0143_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0143_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0143_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.1 |
6c811acc-8969-43a9-aaf9-98de4c356b37 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0126_02.mp4 | <image>
These are frames of a video.
During the sequence between frame 7 and frame 22 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 Left.
Options:
A. Right
B. Forward
C. Left
Answer with the option's letter from th... | [
"A. Right",
"B. Forward",
"C. Left"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0126_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.\nDuring the sequence between frame 7 and frame 22 of 32, what was the primary consistent direction of the camera's movement relative to ... | The video shows a tour of an office space, with the camera panning across desks, shelves, and walls. Visible objects include computer monitors, keyboards, stacks of papers and binders, a whiteboard with writing, a filing cabinet, a printer, and a wooden door. The camera moves around the room, capturing different angles... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0126_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | C |
37741 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ytb_lzwbzdcLlWM.mp4 | What does the person reveal when they lift their shirt? | [
"A. A. A scar",
"B. B. A tattoo",
"C. C. A hidden message",
"D. D. A small object tucked into their pants"
] | 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 does the person reveal when they lift their shirt?\n(A) A. A scar\n(B) B. A tattoo\n(C) C. A hidden message\n(D) D. A small object tucked into their pants"
},... | A single person with long dark hair is shown in a series of shots, alternating between two outfits: a dark, ribbed V-neck cardigan and a black sleeveless hoodie. In the cardigan, they perform various expressive gestures, such as pointing and placing hands on their chest, while in the hoodie, they are seen holding up a ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ytb_lzwbzdcLlWM/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_lzwbzdcLlWM/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_lzwbzdcLlWM/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_lzwbzdcLlWM/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_lzwbzdcLlWM/04.jpg",
"... | null | null | null | null | null | no_context | v5_curated | null | D |
51971 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/video_09213.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 purple sphere's colliding with the rubber cylinder?
Options: | [
"A. A. the presence of the blue rubber cube",
"B. B. the blue cube's colliding with the rubber sphere",
"C. C. the presence of the green metal sphere",
"D. D. the rubber cube's entering the scene"
] | 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 purple sphere's... | The video shows several geometric shapes—a cyan cube, a yellow cylinder, a green sphere, and a purple sphere—arranged on a flat, light-gray surface. A blue cube enters from the bottom of the frame and moves toward the purple sphere, eventually rolling next to it. A second yellow cylinder also enters from the right and ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/video_09213/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_09213/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_09213/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_09213/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_09213/04.jpg",
"/data1/hbatra/4DReas... | null | null | null | null | null | no_context | v5_curated | null | C |
a3612442-c646-4de4-8ece-b693c39004fc | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/9b74afd2d2.mp4 | These are frames of a video.
If I am standing by the window and facing the kettle, is the trash can 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-le... | [
"A. back-left",
"B. front-left",
"C. back-right",
"D. front-right"
] | vsibench_scannetpp | vlm3r_vsibench | 9b74afd2d2 | 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 kettle, is the trash can to my front-left, front-right, back-left, or back-right?\nThe di... | The video presents a static overview of a cluttered office space, showing various objects and furniture from different angles. The main visible items include a desk with multiple monitors, a laptop, a black office chair, a whiteboard, a bookshelf filled with books and杂物, and several blue chairs stacked near cardboard b... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/9b74afd2d2/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9b74afd2d2/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9b74afd2d2/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9b74afd2d2/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9b74afd2d2/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | D |
e51cae4a-0e07-45f5-8d47-f666fd790cdd | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/0f25f24a4f.mp4 | These are frames of a video.
How many sink(s) are in this room?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 0f25f24a4f | 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.\nHow many sink(s) are in this room?\nPlease answer the question using a single word or phrase."
},
{
"from": "gpt",
"value":... | The video provides a tour of an office space, starting at an entrance with a doormat and a modern trash can, then moving through a hallway to show various rooms including a bathroom, a main office area with desks and computers, a break room with a table and stacked beverage crates, and a kitchenette. The camera pans an... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/0f25f24a4f/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/0f25f24a4f/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/0f25f24a4f/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/0f25f24a4f/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/0f25f24a4f/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 2 |
56719 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ZHOP3.mp4 | What did the person do to the blanket after opening the closet/cabinet? | [
"A. A. Put down.",
"B. B. Took.",
"C. C. Tidied up.",
"D. D. Opened."
] | spacer_multiple choice | spacer_STAR | 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 did the person do to the blanket after opening the closet/cabinet?\n(A) A. Put down.\n(B) B. Took.\n(C) C. Tidied up.\n(D) D. Opened."
},
{
"from": "gpt... | In a room with a marble floor, a fish tank, and a large shelving unit, two boys are interacting. One boy, initially seen from behind, bends down to retrieve a folded blanket or cloth from a low cabinet and then stands up holding it. The other boy, wearing a green shirt, stands nearby, puts on a plaid shirt over his own... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ZHOP3/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ZHOP3/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ZHOP3/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ZHOP3/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ZHOP3/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ZHOP3/05.jpg",
... | null | null | null | null | null | no_context | v5_curated | null | B |
a2f9e6fd-32e5-4329-8c0e-641232892689 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/UprightStack-gen1/reach_peg_view2_position_offset/a2f9e6fd-32e5-4329-8c0e-641232892689.mp4 | <video>
Please describe the task the robot is performing in the 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>\nPlease describe the task the robot is performing in the video."
},
{
"from": "gpt",
"value": "Lift the long block upright and stack it on the red bowl"
... | A white and black robotic arm is shown in a kitchen-like environment, moving to pick up a green rectangular block from the tiled floor. The robot then lifts the block and moves it toward a red bowl, positioning it above the bowl before releasing it. The camera maintains a steady, fixed perspective from a slightly eleva... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/a2f9e6fd-32e5-4329-8c0e-641232892689/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/a2f9e6fd-32e5-4329-8c0e-641232892689/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/a2f9e6fd-32e5-4329-8c0e-641232892689/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/a2f9e6fd-32e5-4329-8c0e-6412... | null | null | null | null | null | no_context | v5_curated | null | Lift the long block upright and stack it on the red bowl |
2c2876c6-93ea-4622-a43b-2d535b395df3 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0554_01.mp4 | <image>
These are frames of a video.
During the sequence between frame 13 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 | scene0554_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 13 and frame 28 of 32, what was the primary consistent direction of the camera's movement relative to... | The video shows a cluttered bedroom with a bed, a dresser, and a desk, where clothes and shoes are scattered on the floor and furniture. The camera pans around the room, capturing a laundry hamper, a small refrigerator, and an open closet with hanging clothes. There are no people or animals visible, and the camera move... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0554_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0554_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0554_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0554_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0554_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
a227437f-99b0-483d-9246-10d0fca4784f | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/d6a77f7c22.mp4 | These are frames of a video.
If I am standing by the pot and facing the bag, is the tv 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. right
B. left
C. back
Answer with the option's letter from the given choices directly. | [
"A. right",
"B. left",
"C. back"
] | vsibench_scannetpp | vlm3r_vsibench | d6a77f7c22 | 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 pot and facing the bag, is the tv to my left, right, or back?\nAn object is to my back if I would have to turn ... | The video shows a small, cluttered living space with a beige sofa, a glass-top coffee table, and a trash bin overflowing with empty bottles and packaging. The camera pans across the room, revealing a kitchen area with white cabinets, a stove, and a refrigerator, as well as a wall-mounted TV. A black bag rests on the so... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/d6a77f7c22/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d6a77f7c22/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d6a77f7c22/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d6a77f7c22/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d6a77f7c22/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | A |
f25a86be-83b8-44eb-8082-c856023e4c3b | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0400_01.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (telephone, trash bin, radiator, table) is the closest to the bed?
If there are multiple instances of an object category, measure to the closest.
Options:
A. telephone
B. trash bin
C. radiator
D. table
Answer with the o... | [
"A. telephone",
"B. trash bin",
"C. radiator",
"D. table"
] | vsibench_scannet | vlm3r_vsibench | scene0400_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.\nMeasuring from the closest point of each object, which of these objects (telephone, trash bin, radiator, table) is the closest to the b... | The video shows a simple, sparsely furnished room, likely a dormitory or student room, with a wooden floor and white walls. The main visible objects include a wooden desk with a black office chair, a built-in white bookshelf near a window, a wooden bunk bed with a black mattress, and a wooden dresser or wardrobe. The c... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0400_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0400_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0400_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0400_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0400_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | D |
7ae2db64-af7e-4c9b-a256-c6be26608cbb | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/35f2120068.mp4 | These are frames of a video.
If I am standing by the computer tower and facing the heater, is the tissue box 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. right
B. left
C. back
Answer with the option's letter from the given choices dire... | [
"A. right",
"B. left",
"C. back"
] | vsibench_scannetpp | vlm3r_vsibench | 35f2120068 | 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 computer tower and facing the heater, is the tissue box to my left, right, or back?\nAn object is to my back if... | The video shows a room, likely a lab or workshop, containing two large 3D printers with glowing orange interiors, a white radiator, a grey appliance, and numerous cardboard boxes, some labeled "formlabs." The camera pans around the room, starting with a close-up of a wall-mounted electrical panel, then moving to show t... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/35f2120068/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/35f2120068/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/35f2120068/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/35f2120068/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/35f2120068/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
54085 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ytb_UScYjGHgYRc.mp4 | What is the main theme of the video? | [
"A. A. A scientific research project",
"B. B. A battle between a superhero and various creatures",
"C. C. A nostalgic look at past events",
"D. D. A car race"
] | 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 main theme of the video?\n(A) A. A scientific research project\n(B) B. A battle between a superhero and various creatures\n(C) C. A nostalgic look at pas... | The video is a montage of clips from a Japanese tokusatsu (special effects) series, likely Ultraman. It features various scenes including a vintage car parked on a dirt road, a monster with red eyes and a furry body, a silver humanoid hero (Ultraman), and a human character in a lab coat. The clips show the hero battlin... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ytb_UScYjGHgYRc/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_UScYjGHgYRc/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_UScYjGHgYRc/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_UScYjGHgYRc/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_UScYjGHgYRc/04.jpg",
"... | null | null | null | null | null | no_context | v5_curated | null | B |
f8f76bd1-4bd4-46cc-9fef-cc4eb1340133 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0126_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 monitor in frame 1 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0126_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 monitor in frame 1... | The video shows a cluttered office environment with multiple desks, chairs, and shelves filled with binders, papers, and office supplies. The camera pans across the space, capturing various angles of the workspace, including a whiteboard with writing, a radiator, and a door. There are no visible people or animals, and ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0126_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.9 |
f6859cac-fc94-4de2-a492-0040eddfd681 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0177_01.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the door and the window (in meters)?
Please answer the question using a single word or phrase. | [] | 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.\nMeasuring from the closest point of each object, what is the direct distance between the door and the window (in meters)?\nPlease answe... | 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 | 4.5 |
e776e400-f336-4d7d-a7b3-0ca12f7aaf41 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/302a7f6b67.mp4 | These are frames of a video.
If I am standing by the table and facing the trash can, is the light switch 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-right
B. fr... | [
"A. back-right",
"B. front-right",
"C. back-left",
"D. front-left"
] | vsibench_scannetpp | vlm3r_vsibench | 302a7f6b67 | 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 table and facing the trash can, is the light switch to my front-left, front-right, back-left, or back-right?\nT... | The video shows a tour of an office space, with the camera moving around to capture different areas. It pans across desks with computer monitors, keyboards, and office chairs, as well as storage cabinets, cardboard boxes, and a wooden coat rack. The camera’s perspective shifts from a low angle near the floor to eye-lev... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/302a7f6b67/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/302a7f6b67/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/302a7f6b67/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/302a7f6b67/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/302a7f6b67/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
2ed900dc-b0d0-47c0-b73f-7bffa083ef38 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0340_01.mp4 | <image>
These are frames of a video.
Measuring from the closest point of each object, which of these objects (desk, trash bin, bed) is the closest to the camera in frame 17 of 32?
Options:
A. desk
B. trash bin
C. bed
Answer with the option's letter from the given choices directly. | [
"A. desk",
"B. trash bin",
"C. bed"
] | vstibench_camera_obj_rel_dist_v2 | vlm3r_vstibench | scene0340_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.\nMeasuring from the closest point of each object, which of these objects (desk, trash bin, bed) is the closest to the camera in frame 17... | The video shows a hotel room with two beds, each with white linens and dark headboards, separated by a nightstand with a lamp and phone. A black backpack rests on one bed. The camera pans across the room, revealing a chair with clothes draped over it, a mini-fridge, a TV stand with a TV and a bag, and a desk with a lap... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0340_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0340_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0340_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0340_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0340_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | C |
5730e613-c14a-42ff-9fd1-dc4843a69d64 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/PegInsertionSide-v1/view0/5730e613-c14a-42ff-9fd1-dc4843a69d64.mp4 | <video>
Watch the video of the robotic arm performing a task, please outline the process as a subtask sequence. | [] | 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>\nWatch the video of the robotic arm performing a task, please outline the process as a subtask sequence."
},
{
"from": "gpt",
"value": "1. Reach for the p... | A white robotic arm with black joints is positioned on a wooden table, interacting with a small, two-toned rectangular block. The robot's end effector moves toward the block, grasps it, and then lifts it slightly before lowering it back onto the table near a stationary yellow cube with a square hole. The camera maintai... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/5730e613-c14a-42ff-9fd1-dc4843a69d64/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5730e613-c14a-42ff-9fd1-dc4843a69d64/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5730e613-c14a-42ff-9fd1-dc4843a69d64/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5730e613-c14a-42ff-9fd1-dc48... | null | null | null | null | null | no_context | v5_curated | null | 1. Reach for the peg on the table.
2. Grasp the peg.
3. Aligh the peg with the hole in the box.
4. Insert the peg into the hole. |
9e348646-b711-42c7-a9a3-f61639dcc890 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/114e349224.mp4 | These are frames of a video.
If I am standing by the power strip and facing the heater, is the refrigerator to the left or the right of the heater?
Options:
A. left
B. right
Answer with the option's letter from the given choices directly. | [
"A. left",
"B. right"
] | vsibench_scannetpp | vlm3r_vsibench | 114e349224 | 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 power strip and facing the heater, is the refrigerator to the left or the right of the heater?\nOptions:\nA. le... | The video presents a series of static shots showcasing the interior of a compact kitchenette and adjacent seating area. Visible objects include a small kitchen with a sink, microwave, refrigerator, and dishwasher; a round black table with a blue stool; and two black chairs at a white desk. The camera pans and tilts acr... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/114e349224/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/114e349224/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/114e349224/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/114e349224/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/114e349224/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | A |
59547 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/video_00010.mp4 | How many metal spheres enter the scene before the cube enters the scene? | [] | spacer_numerical | 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>\nHow many metal spheres enter the scene before the cube enters the scene?"
},
{
"from": "gpt",
"value": "1"
}
] | The video shows several spheres and a cube on a flat, light-gray surface. Initially, there are three spheres: a matte cyan, a matte brown, and a metallic silver one. A shiny yellow sphere then rolls into the frame from the right, followed by a cyan cube that rolls in from the top. The objects move slightly, with the si... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/video_00010/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_00010/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_00010/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_00010/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_00010/04.jpg",
"/data1/hbatra/4DReas... | null | null | null | null | null | no_context | v5_curated | null | 1 |
d63d225e-3b86-459d-94eb-7ff827b87965 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0463_01.mp4 | <image>
These are frames of a video.
During the sequence between frame 10 and frame 20 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Forward and Backward.
Options:
A. Forward
B. Backward
Answer with the option's letter from the given ... | [
"A. Forward",
"B. Backward"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0463_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 10 and frame 20 of 32, what was the primary consistent direction of the camera's movement relative to... | The video shows a quiet, empty classroom or meeting room with a long table, several chairs, a whiteboard with writing, and a window with blinds. The camera pans around the room, capturing different angles of the furniture and walls, including a large green wall mural and a brown armchair in one corner. There are no peo... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0463_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0463_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0463_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0463_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0463_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
6360afa9-c2bc-49bd-a2ad-c20b7b159bda | /data1/hbatra/training_datasets_raw/robofac/simulation_data/MicrowaveTask-mug/spoon_reach_view4/6360afa9-c2bc-49bd-a2ad-c20b7b159bda.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. Reach ... | A white and black robotic arm, branded "FRANKA," is shown in a top-down view on a wooden floor. It picks up a red cup from the floor, moves it toward an open microwave, and then places the cup inside before retracting. A red-handled spoon remains on the floor throughout the sequence. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/6360afa9-c2bc-49bd-a2ad-c20b7b159bda/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6360afa9-c2bc-49bd-a2ad-c20b7b159bda/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6360afa9-c2bc-49bd-a2ad-c20b7b159bda/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6360afa9-c2bc-49bd-a2ad-c20b... | null | null | null | null | null | no_context | v5_curated | null | 1. Reach for the spoon.
2. Grasp the spoon.
3. Rotate the spoon to an upright position.
4. Move the spoon to the mug.
5. Lower the spoon into the mug.
6. Move the mug near the microwave.
7. Open the microwave door.
8. Reach for the mug.
9. Grasp the mug.
10. Put the mug in the microwave.
11. Close the microwave door. |
df8e747a-8bd0-42cb-867a-9eb20e74ef9b | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0677_01.mp4 | <image>
These are frames of a video.
Measuring from the closest point of each object, which of these objects (backpack, tv, bed) is the closest to the camera in frame 7 of 32?
Options:
A. backpack
B. tv
C. bed
Answer with the option's letter from the given choices directly. | [
"A. backpack",
"B. tv",
"C. bed"
] | vstibench_camera_obj_rel_dist_v2 | vlm3r_vstibench | scene0677_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.\nMeasuring from the closest point of each object, which of these objects (backpack, tv, bed) is the closest to the camera in frame 7 of ... | The video shows a hotel room with two unmade beds, a desk with a rolling chair, and a small seating area with an armchair. The camera pans around the room, capturing the cluttered state with a suitcase on the floor and personal items scattered about. There are no people or animals visible, and the camera moves slowly, ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0677_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0677_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0677_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0677_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0677_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | C |
45109 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/split_0.mp4 | What does the person add to the flour first? | [
"A. A. Baking powder",
"B. B. Salt",
"C. C. Sugar",
"D. D. Water"
] | 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 does the person add to the flour first?\n(A) A. Baking powder\n(B) B. Salt\n(C) C. Sugar\n(D) D. Water"
},
{
"from": "gpt",
"value": "A"
}
] | 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 | A |
9fe110e1-f3a4-4eb7-9152-e174992af7bf | /data1/hbatra/training_datasets_raw/robofac/simulation_data/MicrowaveTask-knife/knife_align_view1/9fe110e1-f3a4-4eb7-9152-e174992af7bf.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. Reach ... | A white and black robotic arm, branded "FRANKA," is shown manipulating a small green cup and a knife on a light-colored, textured floor. The robot picks up the knife, moves it, and then places it back down, while also interacting with the green cup, appearing to move it slightly. The camera maintains a high-angle, top-... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/9fe110e1-f3a4-4eb7-9152-e174992af7bf/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9fe110e1-f3a4-4eb7-9152-e174992af7bf/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9fe110e1-f3a4-4eb7-9152-e174992af7bf/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9fe110e1-f3a4-4eb7-9152-e174... | null | null | null | null | null | no_context | v5_curated | null | 1. Reach for the knife.
2. Grasp the knife.
3. Rotate the knife to an upright position.
4. Move the knife to the cup.
5. Lower the knife into the cup.
6. Move the cup near the microwave.
7. Open the microwave door.
8. Reach for the cup.
9. Grasp the cup.
10. Put the cup in the microwave.
11. Close the microwave door. |
9a8d5ff2-e1d0-4336-9ea8-a4d41b6bf954 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/ToolsTask-v1/plug_insert_view0_position_offset/9a8d5ff2-e1d0-4336-9ea8-a4d41b6bf954.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 | 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 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 a gripper is manipulating a red rectangular block on a wooden table. The robot picks up the block, moves it to the right, and places it down near a white rectangular box, while other colored blocks and small white cubes remain on the table. The camera maintains a static, side-angle view of the ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/9a8d5ff2-e1d0-4336-9ea8-a4d41b6bf954/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9a8d5ff2-e1d0-4336-9ea8-a4d41b6bf954/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9a8d5ff2-e1d0-4336-9ea8-a4d41b6bf954/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9a8d5ff2-e1d0-4336-9ea8-a4d4... | null | null | null | null | null | no_context | v5_curated | null | To recover from the failure, the robot arm should first reposition itself by carefully lifting and moving away from the socket to reassess its alignment. Following this, the robot arm should then repeat the sequence of steps leading up to the plug insertion, with particular attention to properly aligning the plug with ... |
fec6075f-ca53-43d4-925f-36d2e095d32d | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0247_01.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 26 and frame 31 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0247_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 26 and frame 31 of 32?\nPlease answer the question using a single w... | The video shows a small kitchenette and lounge area with wooden cabinets, a stainless steel dishwasher, a microwave, and a sink. A black compostable bin is visible near a glass door leading outside. The camera pans across the space, showing round tables with chairs, a whiteboard with writing, and green upholstered sofa... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0247_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0247_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0247_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0247_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0247_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 3.1 |
37304 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ytb_AdQcOGlLCvo.mp4 | What is discovered inside the dentures using a magnifying glass? | [
"A. A. A secret message",
"B. B. A phone number",
"C. C. The name 'Williams, Randy'",
"D. D. A map"
] | 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 discovered inside the dentures using a magnifying glass?\n(A) A. A secret message\n(B) B. A phone number\n(C) C. The name 'Williams, Randy'\n(D) D. A map"
... | The video features a man holding up a set of dentures, which are later shown to have the name "Williams Randy" engraved on them. The narrative reveals that the dentures were given to him by a woman named Aaron, who is later identified as the owner of the dentures. The story concludes with a French bulldog holding the d... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ytb_AdQcOGlLCvo/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_AdQcOGlLCvo/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_AdQcOGlLCvo/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_AdQcOGlLCvo/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_AdQcOGlLCvo/04.jpg",
"... | null | null | null | null | null | no_context | v5_curated | null | C |
7dc9e475-2f23-49f7-955f-bc1aa071ffe1 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/PegInsertionSide-v1/view0/7dc9e475-2f23-49f7-955f-bc1aa071ffe1.mp4 | <video>
Based on the video of the robotic arm executing a task, did it finish the task successfully? | [] | 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 executing a task, did it finish the task successfully?"
},
{
"from": "gpt",
"value": "No."
}
] | A white robotic arm with black joints is positioned over a wooden table, interacting with a small, two-toned rectangular block and a larger, beige cube with a square hole. The robot's gripper moves toward the block, picks it up, and then maneuvers it to insert it into the hole in the cube. The camera maintains a static... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/7dc9e475-2f23-49f7-955f-bc1aa071ffe1/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7dc9e475-2f23-49f7-955f-bc1aa071ffe1/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7dc9e475-2f23-49f7-955f-bc1aa071ffe1/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7dc9e475-2f23-49f7-955f-bc1a... | null | null | null | null | null | no_context | v5_curated | null | No. |
8daf6dbf-0417-4fa0-874b-edd98bc854e8 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/0a76e06478.mp4 | These are frames of a video.
If I am standing by the ceiling lamp and facing the laptop, is the blanket 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. right
B. left
C. back
Answer with the option's letter from the given choices directly. | [
"A. right",
"B. left",
"C. back"
] | vsibench_scannetpp | vlm3r_vsibench | 0a76e06478 | 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 laptop, is the blanket to my left, right, or back?\nAn object is to my back if I wo... | The video presents a series of static shots inside a bedroom, showing various angles of the room’s contents without any visible human or animal activity. The main objects include a wooden sleigh bed with rumpled bedding, a matching dresser cluttered with personal items and electronics, a wooden bookshelf with toys and ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/0a76e06478/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/0a76e06478/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/0a76e06478/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/0a76e06478/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/0a76e06478/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
94764824-aa96-46ca-9d6f-d0cadade270e | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0044_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 3 and frame 12 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Right and Backward.
Options:
A. Right
B. Backward
Answer with the option's letter from the given choic... | [
"A. Right",
"B. Backward"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0044_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 3 and frame 12 of 32, what was the primary consistent direction of the camera's movement relative to ... | The video shows a person ascending a dimly lit, narrow staircase with black handrails, captured from a first-person perspective. The camera moves upward, passing by walls, a wooden door, and a sign indicating "5 B LITTS," before reaching a landing with a light fixture above. The footage is shaky, suggesting handheld mo... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0044_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0044_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0044_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0044_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0044_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
32499 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/split_8.mp4 | What does Aline Varela say about the combination of oregano and mustard in grilled cheese? | [] | 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 does Aline Varela say about the combination of oregano and mustard in grilled cheese?"
},
{
"from": "gpt",
"value": "Oregano and mustard bring grill... | A person is wrapping a sausage in plastic wrap on a wooden table. They tie one end of the wrap, then roll the sausage to tighten the wrap completely before tying the other end. The camera maintains a steady, close-up view focused on the hands and the sausage throughout the process. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/split_8/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_8/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_8/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_8/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split_8/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/split... | null | null | null | null | null | no_context | v5_curated | null | Oregano and mustard bring grilled cheese to a whole new level! |
30329 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/split_4.mp4 | What is the video primarily demonstrating? | [] | 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 video primarily demonstrating?"
},
{
"from": "gpt",
"value": "The video is demonstrating the process of cooking a mixture of sautéed onions a... | 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. | null | null | null | null | null | [
"/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... | null | null | null | null | null | no_context | v5_curated | null | The video is demonstrating the process of cooking a mixture of sautéed onions and chopped tomatoes. |
7e67a58a-082c-4aa5-a86c-cafaeb3ac54a | /data1/hbatra/training_datasets_raw/robofac/simulation_data/ToolsTask-v1/plug_align_view0_rotation_offset/7e67a58a-082c-4aa5-a86c-cafaeb3ac54a.mp4 | <video>
Please analyze the video and explain thoroughly what led to the failure of 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>\nPlease analyze the video and explain thoroughly what led to the failure of the task."
},
{
"from": "gpt",
"value": "The task failed due to an orientation... | A white robotic arm with a gripper is manipulating a red rectangular block on a wooden table. The robot picks up the block, moves it to the right side of the table, and places it down near a white rectangular box. The camera maintains a fixed, slightly elevated perspective, focusing on the robotic arm's actions. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/7e67a58a-082c-4aa5-a86c-cafaeb3ac54a/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7e67a58a-082c-4aa5-a86c-cafaeb3ac54a/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7e67a58a-082c-4aa5-a86c-cafaeb3ac54a/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7e67a58a-082c-4aa5-a86c-cafa... | null | null | null | null | null | no_context | v5_curated | null | The task failed due to an orientation deviation when the robot arm attempted to align the plug with the socket. The robot arm did not properly adjust the rotation of the plug, causing it to be misaligned and resulting in a failure to insert it into the socket. The incorrect orientation led to a physical mismatch betwee... |
41491 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/2400900222.mp4 | What is showcased in the background throughout the video? | [
"A. A. An expansive mountainous landscape with steep cliffs and deep valleys",
"B. B. A dense forest",
"C. C. A bustling city",
"D. D. A calm ocean"
] | 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 showcased in the background throughout the video?\n(A) A. An expansive mountainous landscape with steep cliffs and deep valleys\n(B) B. A dense forest\n(C) C... | The video begins with a sweeping view of a rugged, rocky mountain range under bright sunlight, with the camera panning across the terrain. Later, two hikers appear on a sunlit ridge, walking away from the camera along the rocky path, with the vast, arid canyon landscape stretching out behind them. The camera follows th... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/2400900222/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2400900222/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2400900222/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2400900222/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2400900222/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | A |
02b7e053-b03b-4f48-8ea1-3ea176eddf80 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0305_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 7 and frame 19 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0305_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 7 and frame 19 of 32?\nPlease answer the question using a single wo... | The video shows a brief tour of an office space, with the camera panning across various areas. It captures a blue office chair, a whiteboard with writing, a shelving unit filled with books and cans, and multiple computer monitors on desks. The camera moves around the room, showing different angles of the furniture and ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.7 |
37769 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/video_1549.mp4 | If the person had put the objects in the backpack in reverse order, which object or objects would have been put in second? | [
"A. A. bottle",
"B. B. laptop",
"C. C. black-box"
] | 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 had put the objects in the backpack in reverse order, which object or objects would have been put in second?\n(A) A. bottle\n(B) B. laptop\n(C) C. blac... | A person enters the frame and places a black backpack on a coffee table, then removes a small item from it before taking the laptop off the table and placing it inside the backpack. The person then walks away, leaving the table with a glass, two remotes, and a small bottle. The camera remains stationary throughout, foc... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/video_1549/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_1549/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_1549/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_1549/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_1549/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | C |
453a845a-148b-4f36-8c78-7978993fd432 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0156_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 10 and frame 15 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0156_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 10 and frame 15 of 32?\nPlease answer the question using a single w... | The video shows a view from within a conference room, featuring a long rectangular table with alternating black and wood-patterned sections, surrounded by multiple brown leather office chairs. The camera pans around the room, capturing the chairs and table from various angles, and briefly shows a trash can and a door w... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0156_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0156_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0156_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0156_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0156_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.0 |
34344 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ytb_o8iEwxNa0t4.mp4 | What is the person wearing while explaining the purpose of the spirals? | [
"A. A. A lab coat",
"B. B. A high-visibility jacket",
"C. C. Casual clothes",
"D. D. A pilot uniform"
] | 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 person wearing while explaining the purpose of the spirals?\n(A) A. A lab coat\n(B) B. A high-visibility jacket\n(C) C. Casual clothes\n(D) D. A pilot un... | A man in a blue t-shirt is speaking directly to the camera, using hand gestures, while various images of aircraft engines and historical fighter planes are shown in the background. The video includes text overlays that appear to be part of his explanation, discussing jet engines, propeller aircraft, and safety on airpo... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ytb_o8iEwxNa0t4/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_o8iEwxNa0t4/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_o8iEwxNa0t4/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_o8iEwxNa0t4/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_o8iEwxNa0t4/04.jpg",
"... | null | null | null | null | null | no_context | v5_curated | null | B |
54509 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ytb_1VeVk_K8Duk.mp4 | How does the camera move when the person zooms in on the eye? | [
"A. A. The camera stays still",
"B. B. The camera zooms in closer to the eye",
"C. C. The camera moves away from the eye",
"D. D. The camera moves to the side"
] | 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>\nHow does the camera move when the person zooms in on the eye?\n(A) A. The camera stays still\n(B) B. The camera zooms in closer to the eye\n(C) C. The camera moves a... | A person with decorated fingernails is using an iPhone to digitally paint an anime-style eye in the ibis Paint app. They are demonstrating a multi-layered digital painting technique, adding layers, adjusting blending modes, and applying colors and highlights to create depth and realism. The camera maintains a steady, t... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ytb_1VeVk_K8Duk/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_1VeVk_K8Duk/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_1VeVk_K8Duk/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_1VeVk_K8Duk/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_1VeVk_K8Duk/04.jpg",
"... | null | null | null | null | null | no_context | v5_curated | null | B |
8b0ea475-3ba7-4d24-89f2-5741cf6fb313 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0163_00.mp4 | <image>
These are frames of a video.
In frame 16 of 32, relative to window, is table to the [Left/Right]?
Options:
A. Right
B. Left
Answer with the option's letter from the given choices directly. | [
"A. Right",
"B. Left"
] | vstibench_obj_obj_relative_pos_lr | vlm3r_vstibench | scene0163_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.\nIn frame 16 of 32, relative to window, is table to the [Left/Right]?\nOptions:\nA. Right\nB. Left\nAnswer with the option's letter from... | The video shows a room with a long white table and several black, slatted chairs arranged around it. The camera pans across the room, capturing different angles of the furniture and the walls, which have a wood trim near the top. There are no people or animals visible, and the camera moves slowly, suggesting a walkthro... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0163_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0163_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0163_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0163_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0163_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
519c2752-cfec-4d34-97f3-473f29c2d933 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0048_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 1 and frame 18 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0048_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 18 of 32?\nPlease answer the question using a single wo... | The video shows a room with a black office chair near a door and a kitchenette area, and later pans to reveal round tables with metal chairs and a blue backpack resting on one table. The camera moves around the space, capturing different angles of the furniture and the backpack, with no people or animals visible. The p... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0048_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0048_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0048_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0048_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0048_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.6 |
55466848-789f-48f1-b252-517fb2120161 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0320_03.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 17 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0320_03 | 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 17 o... | The video shows a quiet library or study area with desks, chairs, and bookshelves. A dark green office chair is positioned at a wooden desk, and the camera pans around the space, capturing rows of desks with computers and chairs, as well as tall bookshelves and filing cabinets. There are no people visible, and the came... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0320_03/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0320_03/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0320_03/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0320_03/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0320_03/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.6 |
08fc9787-d52a-40b4-ba58-cc0f107564bc | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0305_00.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (lamp, chair, keyboard, bookshelf) is the closest to the door?
If there are multiple instances of an object category, measure to the closest.
Options:
A. lamp
B. chair
C. keyboard
D. bookshelf
Answer with the option's l... | [
"A. lamp",
"B. chair",
"C. keyboard",
"D. bookshelf"
] | vsibench_scannet | vlm3r_vsibench | scene0305_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.\nMeasuring from the closest point of each object, which of these objects (lamp, chair, keyboard, bookshelf) is the closest to the door?\... | The video shows a brief tour of an office space, with the camera panning across various areas. It captures a blue office chair, a whiteboard with writing, a shelving unit filled with books and cans, and multiple computer monitors on desks. The camera moves around the room, showing different angles of the furniture and ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0305_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | D |
71ac4bfd-003c-4e39-be73-0fcaa851ad44 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/182932a4f3.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the smoke detector and the bed (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 182932a4f3 | 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 smoke detector and the bed (in meters)?\nPleas... | The video presents a tour of a small, lived-in bedroom and adjacent kitchenette. The camera pans across the room, showing a bed with clothes scattered on it, a wooden dresser, a desk cluttered with personal items and a laptop, and a window with blinds. It also briefly shows a hallway with jackets hanging on a door and ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/182932a4f3/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/182932a4f3/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/182932a4f3/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/182932a4f3/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/182932a4f3/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 2.0 |
49109 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/OVYAC.mp4 | What did the person do to the bag after putting down the clothes? | [
"A. A. Sat on.",
"B. B. Took.",
"C. C. Threw.",
"D. D. Opened."
] | spacer_multiple choice | spacer_STAR | 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 did the person do to the bag after putting down the clothes?\n(A) A. Sat on.\n(B) B. Took.\n(C) C. Threw.\n(D) D. Opened."
},
{
"from": "gpt",
"valu... | A woman enters the frame holding a dark object, which appears to be a cat, and walks toward a TV stand. She bends down, places the object on the floor, and then stands up, briefly touching her face before exiting the frame. The camera remains stationary throughout, capturing the scene from a fixed perspective. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/OVYAC/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/OVYAC/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/OVYAC/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/OVYAC/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/OVYAC/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/OVYAC/05.jpg",
... | null | null | null | null | null | no_context | v5_curated | null | D |
8dfe93ff-0965-4dba-a7a9-166452e24d49 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation-gen2/move_to_stack_view2_position_offset/8dfe93ff-0965-4dba-a7a9-166452e24d49.mp4 | <video>
Please analyze the video and explain thoroughly what led to the failure of 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>\nPlease analyze the video and explain thoroughly what led to the failure of the task."
},
{
"from": "gpt",
"value": "The task failed due to a misalignment... | A robotic arm with a gripper is interacting with objects on a wooden floor. It repeatedly picks up a small green cube from a red circular mat and places it onto a red and white target, then returns to pick up the cube again, repeating the cycle. The camera maintains a consistent high-angle, top-down perspective through... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/8dfe93ff-0965-4dba-a7a9-166452e24d49/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8dfe93ff-0965-4dba-a7a9-166452e24d49/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8dfe93ff-0965-4dba-a7a9-166452e24d49/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8dfe93ff-0965-4dba-a7a9-1664... | null | null | null | null | null | no_context | v5_curated | null | The task failed due to a misalignment between the tennis ball and the green cube while the robot arm was transitioning to the stacking position. This error occurred because the robot's end-effector did not correctly align over the green cube, resulting in an inability to stack the tennis ball accurately. The deviation ... |
818c4360-7ecc-41ce-a98c-892c9a6735f4 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0436_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 12 and frame 19 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0436_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 12 and frame 19 of 32?\nPlease answer the question using a single w... | The video shows a stationary view of a simple room corner with a folding table, a black trash can under it, and a wall outlet with a white plug adapter. There are no people, animals, or moving objects visible. The camera remains fixed throughout, capturing the scene from a slightly angled perspective, focusing on the t... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0436_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0436_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0436_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0436_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0436_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.1 |
efeef349-b12a-4f65-b7f3-2819e3011f29 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0673_02.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (backpack, fan, lamp, chair) is the closest to the nightstand?
If there are multiple instances of an object category, measure to the closest.
Options:
A. backpack
B. fan
C. lamp
D. chair
Answer with the option's letter ... | [
"A. backpack",
"B. fan",
"C. lamp",
"D. chair"
] | vsibench_scannet | vlm3r_vsibench | scene0673_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.\nMeasuring from the closest point of each object, which of these objects (backpack, fan, lamp, chair) is the closest to the nightstand?\... | The video shows a living room with a dark brown leather couch, bicycles leaning against the wall behind it, and a speaker on a stand to the right. The camera pans around the room, revealing a TV on a stand flanked by tall speakers, a wooden chair, and various items on the floor including backpacks and a blue bag. The c... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0673_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0673_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0673_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0673_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0673_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
41847 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/ytb_JorQaliiMp8.mp4 | What is the label on the rotary tumbler machine? | [
"A. A. '食器用洗剤'",
"B. B. 'ミディア'",
"C. C. 'Frankford Arsenal Reloading Tools'",
"D. D. 'Lemi Shine'"
] | 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 label on the rotary tumbler machine?\n(A) A. '食器用洗剤'\n(B) B. 'ミディア'\n(C) C. 'Frankford Arsenal Reloading Tools'\n(D) D. 'Lemi Shine'"
},
{
"from"... | A person is cleaning brass bullet casings using a Frankford Arsenal rotary tumbler. They add dish soap, a booster, and media (steel shot) to the tumbler, then load the casings into it before starting the machine. The camera remains mostly stationary, focusing on the tumbler and the person's hands as they prepare and op... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ytb_JorQaliiMp8/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_JorQaliiMp8/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_JorQaliiMp8/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_JorQaliiMp8/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_JorQaliiMp8/04.jpg",
"... | null | null | null | null | null | no_context | v5_curated | null | C |
39428 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/XHN6Y.mp4 | What happened before the person took the box? | [
"A. A. Put down the cup/glass/bottle.",
"B. B. Took the food.",
"C. C. Closed the closet/cabinet.",
"D. D. Lied on the floor."
] | spacer_multiple choice | spacer_STAR | 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 happened before the person took the box?\n(A) A. Put down the cup/glass/bottle.\n(B) B. Took the food.\n(C) C. Closed the closet/cabinet.\n(D) D. Lied on the fl... | A woman in a grey sweater is in a kitchen with wooden cabinets and a stainless steel microwave. She is initially stirring something in a pan on the stove, then retrieves a red bowl from a cabinet and pours contents from a box into it. The camera remains stationary throughout, capturing her actions from a fixed angle. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/XHN6Y/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/XHN6Y/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/XHN6Y/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/XHN6Y/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/XHN6Y/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/XHN6Y/05.jpg",
... | null | null | null | null | null | no_context | v5_curated | null | C |
291280aa-4d41-4be2-a86a-f74683afdc18 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/SafeTask-screwdriver/safe_knob_reach_view2/291280aa-4d41-4be2-a86a-f74683afdc18.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. Reach ... | A white robotic arm with black accents is shown on a wooden floor, interacting with a gray box that has a hinged lid. The robot first picks up a screwdriver from the floor, then moves to the box, opens its lid, and uses the screwdriver to manipulate a small component inside the box. The camera maintains a high-angle, t... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/291280aa-4d41-4be2-a86a-f74683afdc18/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/291280aa-4d41-4be2-a86a-f74683afdc18/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/291280aa-4d41-4be2-a86a-f74683afdc18/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/291280aa-4d41-4be2-a86a-f746... | null | null | null | null | null | no_context | v5_curated | null | 1. Reach for the screwdriver.
2. Grasp the screwdriver.
3. Move to the safe.
4. Put the screwdriver in the safe.
5. Close the door of the safe.
6. Reach for the knob of the safe.
7. Grasp the knob of the safe.
8. Screw the knob of the safe. |
107bb436-5229-4230-b885-a709a38cc7ac | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0336_00.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (bookshelf, trash bin, window, table) is the closest to the monitor?
If there are multiple instances of an object category, measure to the closest.
Options:
A. bookshelf
B. trash bin
C. window
D. table
Answer with the o... | [
"A. bookshelf",
"B. trash bin",
"C. window",
"D. table"
] | vsibench_scannet | vlm3r_vsibench | scene0336_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.\nMeasuring from the closest point of each object, which of these objects (bookshelf, trash bin, window, table) is the closest to the mon... | The video shows a cluttered home office with a desk, chair, bookshelves, and various items like papers, a computer monitor, and a printer. The camera pans around the room, capturing different angles of the workspace and surrounding furniture, including a recliner and a small table with scattered objects. There are no p... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0336_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0336_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0336_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0336_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0336_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
0a889dcd-a12d-470b-a1dc-2344e6542088 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/484ad681df.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the blinds and the toilet (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 484ad681df | 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 blinds and the toilet (in meters)?\nPlease ans... | The video provides a tour of a bedroom and adjacent bathroom, showing a bed with an orange comforter, a black racing simulator setup with a Playseat chair, and a sliding glass door leading to a balcony. The camera pans across the room, then moves through a doorway into a bathroom with a toilet, sink, and tiled floor, b... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/484ad681df/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/484ad681df/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/484ad681df/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/484ad681df/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/484ad681df/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 6.2 |
a68ba57c-17d4-4604-983a-e3861b4739fc | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0640_01.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the nightstand and the counter (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannet | vlm3r_vsibench | scene0640_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.\nMeasuring from the closest point of each object, what is the direct distance between the nightstand and the counter (in meters)?\nPleas... | The video shows a tour of a compact living space, likely an apartment or studio, with the camera panning across different areas. It begins with a close-up of a gray sofa, then moves to a desk with a chair and a backpack, followed by a view of a bed with a blue mattress. The camera continues to pan around the room, show... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0640_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0640_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0640_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0640_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0640_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 4.0 |
366ce8b0-9fb2-48d7-9269-a240c142105c | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0657_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 2 and frame 18 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0657_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 2 and frame 18 of 32?\nPlease answer the question using a single wo... | The video shows the interior of an empty lecture hall or classroom, featuring rows of beige theater-style seats with wooden armrests. The camera pans across the room, revealing a projector mounted on the ceiling, a whiteboard, a green chalkboard, and a door. In the back, a small table holds a printer, a blue backpack, ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0657_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0657_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0657_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0657_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0657_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.1 |
44751 | /data1/hbatra/training_datasets_raw/spacer_videos_extracted/General-data/videos/5314486265.mp4 | Why did the boy try to take something out of the ziplock bag?
Options: | [
"A. A. playing with empty bag.",
"B. B. impatient to find his presents.",
"C. C. to bring food for the girl.",
"D. D. to feed the birds.",
"E. E. take out leaves."
] | 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 try to take something out of the ziplock bag?\nOptions:\n(A) A. playing with empty bag.\n(B) B. impatient to find his presents.\n(C) C. to bring food... | A young child in a striped dress stands on a grassy lawn, observing and reaching toward several turkeys and smaller birds. The child is initially alone, but later a second child joins them, and an adult becomes visible on the periphery. The camera pans away from the children and birds to show a wider view of the rural ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/5314486265/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5314486265/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5314486265/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5314486265/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5314486265/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | D |
6d6040f6-325b-403b-a8a6-361d41c9497a | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0226_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 window in frame 12 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0226_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 window in frame 12... | The video shows a quiet indoor space, likely a waiting or lounge area, featuring a patterned armchair next to a wooden table with books, a lamp, and a charging tablet. The camera pans around the chair, revealing a poster on the wall, potted plants by a window, and a small footstool. In the background, people are briefl... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0226_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0226_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0226_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0226_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0226_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.7 |
dce16314-08ac-49d2-90f6-87c011f1ac6c | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannetpp/videos/307e3262f1.mp4 | These are frames of a video.
If I am standing by the trash can and facing the table, is the smoke detector 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. ... | [
"A. front-left",
"B. front-right",
"C. back-right",
"D. back-left"
] | vsibench_scannetpp | vlm3r_vsibench | 307e3262f1 | 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 trash can and facing the table, is the smoke detector to my front-left, front-right, back-left, or back-right?\... | The video presents a tour of a modern apartment, starting from a hallway with white cabinets and a wooden floor, moving into a bedroom. The camera pans across the room, showing a bed with grey and beige linens, a large black-and-white artwork of a Highland cow above the bed, and a grey dresser with a TV on top. The spa... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/307e3262f1/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/307e3262f1/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/307e3262f1/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/307e3262f1/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/307e3262f1/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
1069e331-9f83-4f7f-8c22-b8af70297b65 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0270_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 trash bin in frame 16 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0270_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 trash bin in frame... | The video shows a hotel room with two beds, each with white linens and a brown blanket, and a nightstand with a lamp between them. The camera pans around the room, showing a small table with a coffee maker and magazines, a desk with a chair, a TV on a wooden stand, and a closet. It also captures a microwave and mini-fr... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0270_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0270_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0270_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0270_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0270_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.3 |
c489cf22-4cb0-4531-aeac-7bad8aa443c6 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/UprightStack-gen1/move_to_stack_view2_position_offset/c489cf22-4cb0-4531-aeac-7bad8aa443c6.mp4 | <video>
The robotic arm failed to complete the task, can you locate the specific subtask in which the error occurred? (Your answer should choose one of the following options: ['Move the long block to the red bowl.', 'Move the remote to the target position.', 'Grasp the cup.', 'Stack the long block on the red cube.', 'P... | [] | 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 locate the specific subtask in which the error occurred? (Your answer should choose one of the following options... | A white and black robotic arm is shown in a kitchen-like environment, moving downward to pick up a purple rectangular block from the tiled floor. After grasping the block, the arm lifts it and moves it toward a red bowl, positioning the block above it as if to place it inside. The camera maintains a fixed, slightly ele... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/c489cf22-4cb0-4531-aeac-7bad8aa443c6/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c489cf22-4cb0-4531-aeac-7bad8aa443c6/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c489cf22-4cb0-4531-aeac-7bad8aa443c6/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c489cf22-4cb0-4531-aeac-7bad... | null | null | null | null | null | no_context | v5_curated | null | Move the long block to the red bowl. |
f49f011a-7f98-4e67-9fb1-2a729d0afce3 | /data1/hbatra/training_datasets_raw/vlm3r_videos/scannet/videos/scene0554_00.mp4 | <image>
These are frames of a video.
Measuring from the closest point of each object, which of these objects (trash bin, desk) is the closest to the camera in frame 11 of 32?
Options:
A. trash bin
B. desk
Answer with the option's letter from the given choices directly. | [
"A. trash bin",
"B. desk"
] | vstibench_camera_obj_rel_dist_v3 | vlm3r_vstibench | scene0554_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.\nMeasuring from the closest point of each object, which of these objects (trash bin, desk) is the closest to the camera in frame 11 of 3... | The video shows a cluttered dorm room with a bed, a desk, and a small refrigerator near a door. The camera pans around the room, capturing clothes on the floor, shoes, and various items on the desk and shelves. There are no people or animals visible, and the camera moves slowly, giving a general overview of the space. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0554_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0554_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0554_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0554_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0554_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
d44e94a9-b0a8-4746-9fd0-78bbb4fbb8b6 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/Rotation-gen2/move_to_stack_view0_position_offset/d44e94a9-b0a8-4746-9fd0-78bbb4fbb8b6.mp4 | <video>
This is a video of a robotic arm performing a task, please identify the type of error that occurred during execution. (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>\nThis is a video of a robotic arm performing a task, please identify the type of error that occurred during execution. (Your answer should choose one of the following... | A white robotic arm is manipulating objects on a wooden floor. It picks up a small gray cube from a red circular mat and places it onto a red target mat nearby. The camera remains stationary throughout the sequence, providing a consistent side-view of the robot's actions. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/d44e94a9-b0a8-4746-9fd0-78bbb4fbb8b6/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d44e94a9-b0a8-4746-9fd0-78bbb4fbb8b6/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d44e94a9-b0a8-4746-9fd0-78bbb4fbb8b6/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d44e94a9-b0a8-4746-9fd0-78bb... | null | null | null | null | null | no_context | v5_curated | null | Position deviation. |
daef4afc-5765-4de4-97ed-a5bcd2881433 | /data1/hbatra/training_datasets_raw/robofac/simulation_data/ToolsTask-v1/plug_align_view0_position_offset/daef4afc-5765-4de4-97ed-a5bcd2881433.mp4 | <video>
In the video, an error occurred during the robot's performance of the task, please give low-level control instructions to help it recover and complete 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>\nIn the video, an error occurred during the robot's performance of the task, please give low-level control instructions to help it recover and complete the task."
}... | A white robotic arm with a gripper is manipulating colored blocks on a wooden table. The robot picks up a red block, moves it, and places it down, then proceeds to interact with a small white cube. The camera maintains a static, side-angle perspective throughout the sequence, focusing on the robotic arm's movements and... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/daef4afc-5765-4de4-97ed-a5bcd2881433/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/daef4afc-5765-4de4-97ed-a5bcd2881433/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/daef4afc-5765-4de4-97ed-a5bcd2881433/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/daef4afc-5765-4de4-97ed-a5bc... | null | null | null | null | null | no_context | v5_curated | null | The robot arm should move slightly backward to create space, then adjust its position to the left to bring the plug into better alignment with the socket. Finally, it should lower the plug carefully to ensure it is directly above the socket, enabling a successful insertion. |
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