video_id stringlengths 5 36 | video_path stringlengths 30 97 | question stringlengths 20 543 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f19a0fb1-7d7c-4e7f-ae9c-72bab54b433e | scannetpp/videos/e898c76c1f.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (whiteboard, office chair, door, sofa) is the closest to the shelf?
If there are multiple instances of an object category, measure to the closest.
Options:
A. whiteboard
B. office chair
C. door
D. sofa
Answer with the o... | [
"A. whiteboard",
"B. office chair",
"C. door",
"D. sofa"
] | vsibench_scannetpp | vlm3r_vsibench | e898c76c1f | 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 (whiteboard, office chair, door, sofa) is the closest to the sh... | The video shows a modern office or meeting space with various furniture and lighting. The camera pans across the room, capturing a long white table with a black office chair, two bright orange chairs, a gray sofa and armchairs arranged around a small round table, and a tall black shelving unit. A large window provides ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/e898c76c1f/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e898c76c1f/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e898c76c1f/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e898c76c1f/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e898c76c1f/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | C |
a595361a-d4a7-457b-8a40-5cc04f78b062 | scannetpp/videos/bd7375297e.mp4 | These are frames of a video.
If I am standing by the sink and facing the table, is the book to the left or the right of the table?
Options:
A. right
B. left
Answer with the option's letter from the given choices directly. | [
"A. right",
"B. left"
] | vsibench_scannetpp | vlm3r_vsibench | bd7375297e | 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 book to the left or the right of the table?\nOptions:\nA. right\nB. left\nAns... | The video presents a tour of a hotel room, showing various areas including the entrance, a desk with a TV, two beds, a seating area, and the bathroom. The camera pans across the room, capturing details like luggage on the floor, a cluttered desk, and a bathroom with a toilet and sink. No people or animals are visible, ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/bd7375297e/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bd7375297e/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bd7375297e/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bd7375297e/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bd7375297e/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
80b98531-7720-4b75-92ad-f5a29eec51c6 | scannetpp/videos/ad562ce09b.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the blanket and the slippers (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | ad562ce09b | 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 blanket and the slippers (in meters)?\nPlease ... | The video presents a series of static shots inside a small, tidy room, likely a dormitory or student bedroom. The camera pans across various areas, showing a bed with patterned bedding, a desk with a laptop and router, shelves with personal items, and a window with green curtains. A black guitar case stands against the... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ad562ce09b/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ad562ce09b/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ad562ce09b/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ad562ce09b/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ad562ce09b/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 0.4 |
f7dc6aac-66e6-482c-b85b-b5b8176e0110 | ScanNet/videos/train/scene0288_01.mp4 | <image>
These are frames of a video.
Measuring from the closest point of each object, which of these objects (table, telephone) is the closest to the camera in frame 24 of 32?
Options:
A. table
B. telephone
Answer with the option's letter from the given choices directly. | [
"A. table",
"B. telephone"
] | vstibench_camera_obj_rel_dist_v3 | vlm3r_vstibench | scene0288_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 (table, telephone) is the closest to the camera in frame 24 of ... | The video shows a kitchen and adjacent living area with no people or animals present. The camera pans across the space, capturing a white electric stove, a refrigerator, cabinets, a sink, and a blue laundry basket on the floor. It then moves to show a doorway, a wooden stool, a small table, a black office chair, and a ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0288_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0288_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0288_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0288_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0288_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
7593f66e-d892-496b-b76e-aa06b89dd30a | ScanNet/videos/train/scene0270_00.mp4 | <image>
These are frames of a video.
In frame 12 of 32, relative to telephone, 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 | scene0270_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 12 of 32, relative to telephone, is table to the [Left/Right]?\nOptions:\nA. Right\nB. Left\nAnswer with the option's letter f... | The video shows a hotel room with a camera panning across various areas. It begins near a countertop with a microwave and coffee station, then moves to show a sink, a wooden wardrobe, a TV cabinet, a desk with a chair, and finally a bed with white linens and a brown blanket. The camera’s perspective is handheld and mov... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0270_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0270_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0270_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0270_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0270_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
de490a38-4f49-421e-ad11-d169b983c97b | ScanNet/videos/train/scene0244_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 table in frame 20 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0244_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 table in frame 20 ... | The video shows a quiet, indoor seating area with booth-style seating upholstered in a teal and brown circular pattern, paired with square metal tables. The camera pans across the space, revealing two such booths and two tables, with colorful abstract paintings on the walls. The camera then moves to show a bar area wit... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0244_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0244_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0244_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0244_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0244_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.9 |
179570be-1b9c-4ce6-a91c-1a7b51e74839 | ScanNet/videos/train/scene0590_00.mp4 | <image>
These are frames of a video.
In frame 25 of 32, relative to the camera, is nightstand [Near/Far] compared to tv?
Options:
A. Far
B. Near
Answer with the option's letter from the given choices directly. | [
"A. Far",
"B. Near"
] | vstibench_obj_obj_relative_pos_nf | vlm3r_vstibench | scene0590_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 25 of 32, relative to the camera, is nightstand [Near/Far] compared to tv?\nOptions:\nA. Far\nB. Near\nAnswer with the option'... | The video shows a brief tour of a hotel room, with the camera panning across various areas including the entrance hallway, bathroom, bed, desk, and seating area. No people are visible, but the camera moves to capture the layout, showing items like luggage, a trash can, a TV, and a sofa. The perspective is handheld and ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0590_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0590_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0590_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0590_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0590_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
ebf3587d-4cae-4a54-8a94-817b74207b14 | ScanNet/videos/train/scene0532_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 7 and frame 14 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Backward and Forward.
Options:
A. Backward
B. Forward
Answer with the option's letter from the given c... | [
"A. Backward",
"B. Forward"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0532_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 7 and frame 14 of 32, what was the primary consistent direction of the camera's movement relative to ... | The video shows a small kitchen area with a white electric stove, a sink, and a refrigerator. The camera pans around the space, briefly showing a doorway with a “Caution: Wet Floor” sign and a fire extinguisher mounted on the wall. There are no people or animals visible, and the camera moves slowly, capturing different... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0532_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0532_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0532_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0532_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0532_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
8ec06b2f-bce3-4b5d-929b-6458178c54c1 | ScanNet/videos/train/scene0138_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 window in frame 19 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0138_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 window in frame 19... | The video shows a room that appears to be a lab or classroom, with multiple desks, computers, and office equipment. A person is briefly visible in the reflection of a window, seemingly holding a phone. The camera pans around the room, capturing various angles of the setup, including a whiteboard with writing, a ladder,... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0138_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0138_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0138_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0138_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0138_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 3.0 |
936bb5bb-d6f1-4140-8253-dbf5dbc08d06 | scannetpp/videos/cec8312f4e.mp4 | These are frames of a video.
If I am standing by the ceiling lamp and facing the shelf, is the picture to my left, right, or back?
An object is to my back if I would have to turn at least 135 degrees in order to face it.
Options:
A. back
B. right
C. left
Answer with the option's letter from the given choices directly. | [
"A. back",
"B. right",
"C. left"
] | vsibench_scannetpp | vlm3r_vsibench | cec8312f4e | 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 shelf, is the picture to my left, right, or back?\nAn object is to my back if I wou... | The video presents a series of static shots showing different areas of an office space. It begins with a close-up of a blue trash bin labeled "REST MÜLL" next to a refrigerator, then pans to show a kitchenette with a sink and cabinets. The camera moves to reveal a workstation with a computer, a printer, and a bulletin ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/cec8312f4e/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cec8312f4e/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cec8312f4e/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cec8312f4e/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cec8312f4e/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
8d07fe05-1842-4ffa-b2f8-f0cb24d35e2e | ScanNet/videos/train/scene0276_01.mp4 | <image>
These are frames of a video.
In frame 32 of 32, relative to the camera, is refrigerator [Near/Far] compared to telephone?
Options:
A. Near
B. Far
Answer with the option's letter from the given choices directly. | [
"A. Near",
"B. Far"
] | vstibench_obj_obj_relative_pos_nf | vlm3r_vstibench | scene0276_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.\nIn frame 32 of 32, relative to the camera, is refrigerator [Near/Far] compared to telephone?\nOptions:\nA. Near\nB. Far\nAnswer with th... | The video shows a tour of a small apartment, with the camera panning across the bedroom, kitchen, and bathroom. The bedroom features a bed with a patterned comforter, a desk with a chair, and a closet. The kitchen has light wood cabinets, a refrigerator, stove, and sink. The bathroom includes a toilet, sink, and shower... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0276_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0276_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0276_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0276_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0276_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
bff11284-e877-4759-85d9-b8fc2c8bdd7a | UprightStack-v1/grasp_peg_view0_rotation_offset/bff11284-e877-4759-85d9-b8fc2c8bdd7a.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: ['Grasp the long block.', 'Grasp the pencil.', 'Pull the marble back.', 'Grasp for the banana.']) | [] | 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 robotic arm is manipulating a blue rectangular block on a wooden table. The robot picks up the blue block, lifts it, and then places it vertically on top of a red cube. The camera maintains a fixed, slightly elevated perspective, focusing on the robot's arm and the objects on the table. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/bff11284-e877-4759-85d9-b8fc2c8bdd7a/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bff11284-e877-4759-85d9-b8fc2c8bdd7a/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bff11284-e877-4759-85d9-b8fc2c8bdd7a/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bff11284-e877-4759-85d9-b8fc... | null | null | null | null | null | no_context | v5_curated | null | Grasp the long block. |
dc89241e-a813-43e6-a7a3-26e0bc6b22cc | ScanNet/videos/train/scene0209_02.mp4 | <image>
These are frames of a video.
During the sequence between frame 6 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 Backward and Right.
Options:
A. Backward
B. Right
Answer with the option's letter from the given choic... | [
"A. Backward",
"B. Right"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0209_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 6 and frame 12 of 32, what was the primary consistent direction of the camera's movement relative to ... | The video shows a hotel room with a bed, a desk with a chair, and a small seating area with an armchair. A laptop is open on the bed, and several shopping bags are on the floor near the armchair. The camera pans around the room, capturing different angles of the furniture and items, including a suitcase and shoes on th... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0209_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0209_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0209_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0209_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0209_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
a96cc528-2fe7-4108-a0d4-da4a4b663e9b | scannet/videos/scene0076_00.mp4 | These are frames of a video.
What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters?
Please answer the question using a single word or phrase. | [] | vsibench_scannet | vlm3r_vsibench | scene0076_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 length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters?\nPlease answer the... | The video shows a conference room with a large U-shaped table surrounded by multiple black office chairs. The room has a green accent wall, a mounted TV, and a whiteboard on the opposite wall. The camera pans around the room, capturing the layout and showing a trash can and a kitchenette area with a microwave and refri... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0076_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0076_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0076_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0076_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0076_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 140 |
c16b63a0-7995-474c-acd8-85830e27a759 | scannet/videos/scene0168_02.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (backpack, chair, desk, pillow) is the closest to the trash bin?
If there are multiple instances of an object category, measure to the closest.
Options:
A. backpack
B. chair
C. desk
D. pillow
Answer with the option's le... | [
"A. backpack",
"B. chair",
"C. desk",
"D. pillow"
] | vsibench_scannet | vlm3r_vsibench | scene0168_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, chair, desk, pillow) is the closest to the trash bin... | The video shows a cluttered office or workspace with multiple desks, computers, and personal items. The camera pans across the area, capturing various objects like monitors, laptops, notebooks, a water bottle, and shelves filled with binders and small figurines. There are no visible people or animals, and the camera mo... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0168_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0168_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0168_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0168_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0168_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | C |
760dafdd-ac62-41bd-9022-949650348054 | Rotation2-gen1/early_pull_cubeA_view2_position_offset/760dafdd-ac62-41bd-9022-949650348054.mp4 | <video>
From the video, what task is the robot engaged in? | [] | robofac_action_qa | robofac | null | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nFrom the video, what task is the robot engaged in?"
},
{
"from": "gpt",
"value": "Pull the green cube off the turntable, then stack the green cube onto t... | A robotic arm with a white and black articulated design is positioned above a red circular mat on a light gray, textured floor. The robot's gripper is moving around the mat, interacting with three small objects: a blue sphere, a red sphere, and a cyan cube, appearing to manipulate or reposition them. The camera maintai... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/760dafdd-ac62-41bd-9022-949650348054/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/760dafdd-ac62-41bd-9022-949650348054/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/760dafdd-ac62-41bd-9022-949650348054/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/760dafdd-ac62-41bd-9022-9496... | null | null | null | null | null | no_context | v5_curated | null | Pull the green cube off the turntable, then stack the green cube onto the apple. |
366de161-79b2-41ac-9389-d634f034dd41 | ScanNet/videos/train/scene0623_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 14 and frame 20 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0623_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 14 and frame 20 of 32?\nPlease answer the question using a single w... | The video shows a casual, lived-in living room with a gray couch, scattered shoes, and various personal items like a tote bag and electronics on a coffee table. The camera pans around the space, capturing a keyboard, a standing fan, a TV on a white stand, and a wooden door, giving a sense of the room’s layout and clutt... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0623_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0623_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0623_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0623_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0623_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.5 |
57cc0859-c140-4ec4-97fb-a4bcf4f93823 | scannetpp/videos/7fb8ff20e9.mp4 | These are frames of a video.
What is the length of the longest dimension (length, width, or height) of the keyboard, measured in centimeters?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 7fb8ff20e9 | 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 length of the longest dimension (length, width, or height) of the keyboard, measured in centimeters?\nPlease answer the que... | The video presents a series of static shots inside a small, cluttered room, likely a bedroom or studio apartment. The camera pans across various areas, showing a bed with a blue sheet and plaid pillow, a desk with a computer and chair, shelves with assorted items, and a small green table holding an air fryer and a red-... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/7fb8ff20e9/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7fb8ff20e9/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7fb8ff20e9/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7fb8ff20e9/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/7fb8ff20e9/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 36 |
e00b6272-b565-465f-9946-3bea506276ed | scannetpp/videos/30f4a2b44d.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 cup (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 30f4a2b44d | 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 cup (in meters)?\nPlease answer... | The video presents a tour of an office space, showing various stationary objects like a desk with a computer, chairs, a whiteboard with writing, and a bookshelf. The camera pans across the room, moving from a wide view of the desk and window to close-ups of items on the desk, the bookshelf, and the whiteboard, with som... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 3.2 |
5be9722b-4848-4c23-897d-91f49d486ccc | ScanNet/videos/train/scene0477_01.mp4 | <image>
These are frames of a video.
In frame 19 of 32, relative to trash bin, is mirror to the [Up/Down]?
Options:
A. Down
B. Up
Answer with the option's letter from the given choices directly. | [
"A. Down",
"B. Up"
] | vstibench_obj_obj_relative_pos_ud | vlm3r_vstibench | scene0477_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.\nIn frame 19 of 32, relative to trash bin, is mirror to the [Up/Down]?\nOptions:\nA. Down\nB. Up\nAnswer with the option's letter from t... | The video shows a hotel room with two unmade beds, a desk with a chair, and a dresser, all featuring wooden furniture and light-colored bedding. The camera pans across the room, capturing a black suitcase on the floor, a backpack near the bathroom entrance, and a cluttered desk. There are no people or animals visible, ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0477_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0477_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0477_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0477_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0477_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
fd96550c-869d-42ae-b2b8-4ae4925822ab | ScanNet/videos/train/scene0630_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 3 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0630_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 3 ... | The video shows an office environment with multiple desks cluttered with computer monitors, keyboards, and various items. A person is seated at one desk, working on multiple screens. The camera pans around the room, capturing different angles of the workspace, including chairs, boxes, and shelves, with occasional motio... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0630_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0630_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0630_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0630_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0630_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 3.9 |
b74386f0-5fc8-4a43-a136-0ddb6ef17dcb | scannetpp/videos/dfac5b38df.mp4 | These are frames of a video.
What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | dfac5b38df | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nWhat is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?\nPlease answer the questio... | The video presents a series of static shots inside a modern office space, showcasing its layout and contents without any human presence or movement. The camera pans and tilts to reveal key areas: a corner with a white tower fan, two blue buckets, and a black chair; a white cabinet stocked with beverages and supplies; a... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/dfac5b38df/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 206 |
40624 | /SpaceR-151k/General-data/videos/YKT8I.mp4 | What is the color of the tiled walls in the bathroom? | [
"A. A. White",
"B. B. Gray",
"C. C. Blue",
"D. D. Beige"
] | 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 tiled walls in the bathroom?\n(A) A. A. White\n(B) B. B. Gray\n(C) C. C. Blue\n(D) D. D. Beige"
},
{
"from": "gpt",
"value": "D"... | A person enters a bathroom, bends down to place a pair of shoes on the floor next to a laundry basket, and then exits by closing the door. The camera remains stationary throughout, capturing the scene from a fixed perspective. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/YKT8I/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/YKT8I/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/YKT8I/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/YKT8I/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/YKT8I/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/YKT8I/05.jpg",
... | null | null | null | null | null | no_context | v5_curated | null | D |
3ef90569-d09e-4039-b548-14fc9d09ff7c | ScanNet/videos/train/scene0159_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 9 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 and Left.
Options:
A. Backward
B. Left
Answer with the option's letter from the given choices... | [
"A. Backward",
"B. Left"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0159_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 9 and frame 23 of 32, what was the primary consistent direction of the camera's movement relative to ... | The video shows a dimly lit indoor space, likely a hallway or entryway, with the camera moving slowly forward. The view is mostly obscured by darkness, but a patterned rug is visible on the floor, and a small light source, possibly a flashlight or nightlight, illuminates parts of the scene. The camera passes by a door ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0159_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0159_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0159_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0159_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0159_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
fe563d2f-4e61-48f9-9747-58831bee54b2 | scannet/videos/scene0003_00.mp4 | These are frames of a video.
If I am standing by the refrigerator and facing the microwave, is the trash bin to my left, right, or back?
An object is to my back if I would have to turn at least 135 degrees in order to face it.
Options:
A. left
B. right
C. back
Answer with the option's letter from the given choices dire... | [
"A. left",
"B. right",
"C. back"
] | vsibench_scannet | vlm3r_vsibench | scene0003_00 | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the refrigerator and facing the microwave, is the trash bin to my left, right, or back?\nAn object is to my back if... | The video shows a small kitchenette or breakroom area with a black water cooler, a wooden cabinet with a black countertop, and a trash can filled with paper. The camera pans around the space, revealing a sink, a microwave, and a black refrigerator. The camera's perspective moves from a close-up of the water cooler to a... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0003_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0003_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0003_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0003_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0003_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
360e3dd3-c491-4a46-9b3f-ff8e609a9ccf | ScanNet/videos/train/scene0452_01.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 13 and frame 28 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0452_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 13 and frame 28 of 32?\nPlease answer the question using a single w... | The video shows a conference room with a long table surrounded by several gray mesh office chairs on casters. On the table, there is a remote control, a cable, and a conference phone. The room features a whiteboard with some writing and diagrams, a projector screen above it, and a large window letting in natural light.... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0452_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0452_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0452_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0452_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0452_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.5 |
45b5bd5c-ac13-4c88-87a3-29aa291de98f | scannetpp/videos/2d58610dce.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (blanket, door, bag, bed) is the closest to the table lamp?
If there are multiple instances of an object category, measure to the closest.
Options:
A. blanket
B. door
C. bag
D. bed
Answer with the option's letter from t... | [
"A. blanket",
"B. door",
"C. bag",
"D. bed"
] | vsibench_scannetpp | vlm3r_vsibench | 2d58610dce | 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 (blanket, door, bag, bed) is the closest to the table lamp?\nIf... | The video presents a tour of a small, cluttered bedroom, showing various objects and areas from different angles. The camera pans across the room, capturing a door with an over-the-door organizer, a tall shelving unit filled with items, a black sofa with colorful cushions, a desk with a gaming chair and electronics, an... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/2d58610dce/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2d58610dce/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2d58610dce/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2d58610dce/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2d58610dce/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | D |
a0eb8bcd-2b98-4ba0-8adc-352ee8bceccb | ScanNet/videos/train/scene0109_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 13 and frame 27 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0109_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 13 and frame 27 of 32?\nPlease answer the question using a single w... | The video shows a stationary view of an office supply or copying room, featuring a countertop with a paper cutter, a hole for a trash can, and a box, alongside cabinets. A large copier and a smaller machine are positioned against a green wall, with stacked cardboard boxes nearby. The camera pans slightly across the roo... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0109_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0109_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0109_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0109_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0109_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 0.9 |
4d43ffad-e9f1-4e37-a5c6-6e40fa520b0c | SafeTask-screwdriver/screwdriver_push_view5/4d43ffad-e9f1-4e37-a5c6-6e40fa520b0c.mp4 | <video>
Based on the video showing a robotic arm carrying out a task, please generate a sequence of subtasks for its execution. | [] | robofac_action_qa | robofac | null | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nBased on the video showing a robotic arm carrying out a task, please generate a sequence of subtasks for its execution."
},
{
"from": "gpt",
"value": "1.... | A purple and black robotic arm, labeled "FRANKA EMIKA," is shown in a room with a wooden floor and a purple wall. The robot is picking up a screwdriver from the floor and placing it inside an open, purple safe. The camera maintains a consistent, slightly elevated perspective, tracking the robot's movements as it perfor... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/4d43ffad-e9f1-4e37-a5c6-6e40fa520b0c/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/4d43ffad-e9f1-4e37-a5c6-6e40fa520b0c/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/4d43ffad-e9f1-4e37-a5c6-6e40fa520b0c/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/4d43ffad-e9f1-4e37-a5c6-6e40... | 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. |
1d4c0267-5a2a-4713-b746-b0bd02e44a5c | ScanNet/videos/train/scene0013_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 9 and frame 32 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0013_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 9 and frame 32 of 32?\nPlease answer the question using a single wo... | The video shows a dimly lit room with two upholstered armchairs arranged around a dark, irregularly shaped wooden coffee table. The camera pans around the seating area, capturing the chairs from various angles and showing a small booklet or card resting on the table. There are no people or other moving agents visible; ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0013_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0013_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0013_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0013_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0013_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 0.7 |
19fa627c-66b5-40c7-b07b-bf20c83720fd | MicrowaveTask-fork/fork_upright_view4/19fa627c-66b5-40c7-b07b-bf20c83720fd.mp4 | <video>
From the video of the robotic arm carrying out a task, identify the phase of the task where the error happened. (Your answer should choose one of the following options: ['Reach for the brush.', 'Stack the green dice on the red can.', 'Rotate the fork to an upright position.', 'Grasp the red can.', 'Stack the or... | [] | robofac_action_qa | robofac | null | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nFrom the video of the robotic arm carrying out a task, identify the phase of the task where the error happened. (Your answer should choose one of the following optio... | A light green robotic arm, branded "FRANKA," is shown interacting with a small green cup and a red-handled fork on a wooden floor. The robot picks up the fork, then the cup, and moves them toward a nearby microwave oven, placing the cup on the microwave's side. The camera maintains a high-angle, top-down perspective th... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/19fa627c-66b5-40c7-b07b-bf20c83720fd/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/19fa627c-66b5-40c7-b07b-bf20c83720fd/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/19fa627c-66b5-40c7-b07b-bf20c83720fd/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/19fa627c-66b5-40c7-b07b-bf20... | null | null | null | null | null | no_context | v5_curated | null | Rotate the fork to an upright position. |
cde8b50a-a027-49c6-a752-9a23ad09c7ab | ScanNet/videos/train/scene0060_01.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 2 and frame 7 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0060_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 2 and frame 7 of 32?\nPlease answer the question using a single wor... | The video shows a sequence of shots in what appears to be a library or office service area, featuring a self-checkout station with a monitor, a printer, and informational brochures on a wooden counter. The camera pans across the area, then moves down a carpeted hallway with doors and a water fountain, before returning ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0060_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0060_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0060_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0060_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0060_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.8 |
9bd9093a-7bee-4dbd-af11-e87723521c10 | Rotation-v1/cubeA_grasp_view1_rotation_offset/9bd9093a-7bee-4dbd-af11-e87723521c10.mp4 | <video>
Please assess if the robotic arm has successfully accomplished 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 assess if the robotic arm has successfully accomplished the task."
},
{
"from": "gpt",
"value": "No."
}
] | A white robotic arm with black joints is positioned over a wooden table, manipulating three colored blocks—a green cube, a blue cylinder, and a purple cube—on a pink circular mat. The robot repeatedly moves its arm to pick up and reposition the blocks, sometimes lifting them and placing them elsewhere on the mat. The c... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/9bd9093a-7bee-4dbd-af11-e87723521c10/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9bd9093a-7bee-4dbd-af11-e87723521c10/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9bd9093a-7bee-4dbd-af11-e87723521c10/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9bd9093a-7bee-4dbd-af11-e877... | null | null | null | null | null | no_context | v5_curated | null | No. |
02955184-c945-4b6b-a1a6-c37c55398545 | scannetpp/videos/6d89a7320d.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (whiteboard eraser, storage cabinet, heater, door) is the closest to the poster?
If there are multiple instances of an object category, measure to the closest.
Options:
A. whiteboard eraser
B. storage cabinet
C. heater
... | [
"A. whiteboard eraser",
"B. storage cabinet",
"C. heater",
"D. door"
] | vsibench_scannetpp | vlm3r_vsibench | 6d89a7320d | 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 (whiteboard eraser, storage cabinet, heater, door) is the close... | The video shows a tour of an office space, with the camera panning across desks, chairs, and a large whiteboard filled with handwritten schedules and diagrams. A person is briefly visible in a reflection in a glass window, holding a phone as if taking a photo. The camera moves around the room, capturing different angle... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/6d89a7320d/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6d89a7320d/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6d89a7320d/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6d89a7320d/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6d89a7320d/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
1f4ea1f5-3ea0-492d-a5c1-6edfccfbbbc5 | ScanNet/videos/train/scene0254_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 12 and frame 18 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 | scene0254_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 12 and frame 18 of 32, what was the primary consistent direction of the camera's movement relative to... | The video shows a view of a public restroom, focusing on a toilet stall with wooden doors that are slightly ajar, revealing a white toilet and a toilet paper dispenser mounted on the wall. The camera pans around the stall, then moves to show the restroom’s sink area, which features a dark countertop with multiple sinks... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0254_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0254_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0254_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0254_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0254_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
bc007e2e-b40d-4b42-88a1-281c363fa452 | scannetpp/videos/020312de8d.mp4 | These are frames of a video.
How many keyboard(s) are in this room?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 020312de8d | 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 keyboard(s) are in this room?\nPlease answer the question using a single word or phrase."
},
{
"from": "gpt",
"val... | The video shows a laboratory or workshop environment with various pieces of equipment, including robotic arms, a humanoid robot, workbenches, and computer stations. The camera pans across the space, capturing different setups, such as a robotic arm manipulating gears on a wooden table, a standing humanoid robot, and a ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/020312de8d/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/020312de8d/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/020312de8d/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/020312de8d/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/020312de8d/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 7 |
b14068f7-80b7-4ef0-8acf-5a0f3db5f8c9 | ScanNet/videos/train/scene0279_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 mirror in frame 20 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0279_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 mirror in frame 20... | The video shows a tour of a hotel room, with the camera panning across various areas including a bed with rumpled white linens, a gray upholstered sofa with decorative pillows, a desk with a chair and lamp, and a television on a dresser. The camera also moves to show the bathroom through an open door and briefly captur... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0279_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0279_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0279_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0279_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0279_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 3.4 |
e5991f9d-8ceb-454d-860f-fd5c1df26cd8 | StackCube-v1/grasp_view0_gripper_error/e5991f9d-8ceb-454d-860f-fd5c1df26cd8.mp4 | <video>
The robotic arm failed to complete the task, can you describe in detail the cause of the failure 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>\nThe robotic arm failed to complete the task, can you describe in detail the cause of the failure in the video?"
},
{
"from": "gpt",
"value": "The task fa... | A single robotic arm with a gripper is positioned over a wooden table, where two small cubes, one red and one green, are placed. The robot's arm is slowly moving downward, appearing to approach the red cube, while the camera maintains a static, slightly elevated perspective. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/e5991f9d-8ceb-454d-860f-fd5c1df26cd8/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e5991f9d-8ceb-454d-860f-fd5c1df26cd8/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e5991f9d-8ceb-454d-860f-fd5c1df26cd8/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e5991f9d-8ceb-454d-860f-fd5c... | null | null | null | null | null | no_context | v5_curated | null | The task failed because the robot arm encountered a grasping error while attempting to lift the red cube. Specifically, during the 'Grasp the red cube' subtask, the gripper did not apply sufficient force to securely hold the red cube. As a result, when the robot arm transitioned to the 'Lift the red cube' stage, the re... |
0b7a034c-3024-42af-9ddb-ad82960bdf35 | ScanNet/videos/train/scene0130_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 20 and frame 26 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 Forward.
Options:
A. Right
B. Forward
Answer with the option's letter from the given choice... | [
"A. Right",
"B. Forward"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0130_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 20 and frame 26 of 32, what was the primary consistent direction of the camera's movement relative to... | The video shows a tour of a conference room, starting at the door and moving around the space. The camera pans across the room, revealing a large white table surrounded by several black mesh office chairs, two mounted flat-screen TVs on a green wall, and a black trash can near the door. A blue backpack is visible on th... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0130_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0130_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0130_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0130_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0130_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
7990c04f-10e1-43dd-9fbe-86e769c0d83e | ScanNet/videos/train/scene0013_02.mp4 | <image>
These are frames of a video.
During the sequence between frame 2 and frame 19 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Left, Right, Backward, and Forward.
Options:
A. Left
B. Right
C. Backward
D. Forward
Answer with the o... | [
"A. Left",
"B. Right",
"C. Backward",
"D. Forward"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0013_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 2 and frame 19 of 32, what was the primary consistent direction of the camera's movement relative to ... | The video shows a dimly lit room with several beige upholstered armchairs arranged around a large, irregularly shaped wooden coffee table. The camera moves slowly around the seating area, capturing different angles of the chairs and the table, which has some items on its surface. There are no people or animals visible,... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0013_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0013_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0013_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0013_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0013_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | D |
16fc82da-ebdc-4a96-b671-b632a511057e | ScanNet/videos/train/scene0160_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 15 and frame 30 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Forward, Backward, and Left.
Options:
A. Forward
B. Backward
C. Left
Answer with the option's letter ... | [
"A. Forward",
"B. Backward",
"C. Left"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0160_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 15 and frame 30 of 32, what was the primary consistent direction of the camera's movement relative to... | The video shows a cozy lounge area with a wooden coffee table in the center, holding a square candle holder. Surrounding the table are upholstered seating options, including a two-seater sofa and a single chair, all set on a patterned rug. The camera pans around the space, capturing different angles of the furniture an... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0160_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0160_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0160_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0160_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0160_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
97c92f9c-3b37-440c-a61a-9121d9c1419b | ScanNet/videos/train/scene0188_00.mp4 | <image>
These are frames of a video.
Measuring from the closest point of each object, which of these objects (table, window) is the closest to the camera in frame 29 of 32?
Options:
A. table
B. window
Answer with the option's letter from the given choices directly. | [
"A. table",
"B. window"
] | vstibench_camera_obj_rel_dist_v3 | vlm3r_vstibench | scene0188_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 (table, window) is the closest to the camera in frame 29 of 32?... | The video shows a quiet, empty conference or classroom room with several gray upholstered chairs arranged around a long wooden table. A red and black backpack rests on a wooden cabinet near a door, and a whiteboard with some writing is mounted on the wall. The camera pans slowly around the room, capturing different ang... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0188_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0188_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0188_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0188_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0188_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
e93c195d-1884-46ea-96fd-fee58bc492b4 | scannetpp/videos/6ea60e282a.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the keyboard and the coat hanger (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 6ea60e282a | 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 keyboard and the coat hanger (in meters)?\nPle... | The video shows a tour of an office space, with the camera panning across various areas including a desk with a computer, a large wooden cabinet, and a printer on a small cabinet. The camera moves around the room, showing a window with potted plants, a coat rack, and a door with a clock above it. There are no people vi... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/6ea60e282a/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6ea60e282a/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6ea60e282a/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6ea60e282a/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/6ea60e282a/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 2.6 |
e3794df1-75c4-43f3-8d20-dbb908579823 | Rotation2-gen1/early_pull_cubeA_view0_position_offset/e3794df1-75c4-43f3-8d20-dbb908579823.mp4 | <video>
Can you identify what task the robot is doing in the provided video? | [] | robofac_action_qa | robofac | null | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nCan you identify what task the robot is doing in the provided video?"
},
{
"from": "gpt",
"value": "Pull the green cube off the turntable, then stack the... | A white robotic arm manipulates three objects—a red sphere, a blue cylinder, and a teal cube—on a red circular mat in a room. The robot repeatedly picks up and repositions the objects, causing them to shift locations on the mat. The camera remains stationary throughout, providing a consistent view of the robotic arm an... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/e3794df1-75c4-43f3-8d20-dbb908579823/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e3794df1-75c4-43f3-8d20-dbb908579823/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e3794df1-75c4-43f3-8d20-dbb908579823/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/e3794df1-75c4-43f3-8d20-dbb9... | null | null | null | null | null | no_context | v5_curated | null | Pull the green cube off the turntable, then stack the green cube onto the apple. |
32ceded2-15ea-478d-ad66-3b018e1b81d3 | ScanNet/videos/train/scene0156_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 9 and frame 13 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Backward, Left, Forward, and Right.
Options:
A. Backward
B. Left
C. Forward
D. Right
Answer with the o... | [
"A. Backward",
"B. Left",
"C. Forward",
"D. Right"
] | vstibench_camera_movement_direction | 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.\nDuring the sequence between frame 9 and frame 13 of 32, what was the primary consistent direction of the camera's movement relative to ... | 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 | B |
f84d5513-8946-424d-b4f1-04e38dd8de9a | scannetpp/videos/589f5c7c58.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (pillow, door, trash can, box) is the closest to the window?
If there are multiple instances of an object category, measure to the closest.
Options:
A. pillow
B. door
C. trash can
D. box
Answer with the option's letter ... | [
"A. pillow",
"B. door",
"C. trash can",
"D. box"
] | vsibench_scannetpp | vlm3r_vsibench | 589f5c7c58 | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nMeasuring from the closest point of each object, which of these objects (pillow, door, trash can, box) is the closest to the window?\nI... | The video shows a quick, panning tour of a small, sparsely furnished medical or first-aid room. Visible objects include a blue door, a white cabinet with a red basket on top, a wall-mounted orange first-aid kit, a sink with soap and paper towel dispensers, a green examination table with a pillow, a wooden chair, and a ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/589f5c7c58/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/589f5c7c58/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/589f5c7c58/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/589f5c7c58/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/589f5c7c58/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | A |
bc51f39b-4498-41a6-acee-672e23f5d808 | UprightStack-v1/place_upright_view0_position_offset/bc51f39b-4498-41a6-acee-672e23f5d808.mp4 | <video>
This is a video of a robotic arm performing a task, during which subtask did the error happen? (Your answer should choose one of the following options: ['Stack the long block on the red cube.', 'Put the tennis ball in the drawer.', 'Grasp the spoon.', 'Reach for the red cube.', 'Stack the LEGO brick on the cube... | [] | 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, during which subtask did the error happen? (Your answer should choose one of the following options: ['Stack the l... | A white robotic arm is shown interacting with three blocks on a wooden table. It picks up a yellow rectangular block, lifts it, and then places it vertically on top of the red cube, forming a small tower. The camera maintains a fixed, slightly elevated perspective, focusing on the robotic arm and the blocks. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/bc51f39b-4498-41a6-acee-672e23f5d808/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bc51f39b-4498-41a6-acee-672e23f5d808/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bc51f39b-4498-41a6-acee-672e23f5d808/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/bc51f39b-4498-41a6-acee-672e... | null | null | null | null | null | no_context | v5_curated | null | Stack the long block on the red cube. |
a1d838bd-9bf2-4291-a043-179ce7b647c4 | scannetpp/videos/2f6f83ea1f.mp4 | These are frames of a video.
What is the length of the longest dimension (length, width, or height) of the smoke detector, measured in centimeters?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 2f6f83ea1f | 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 length of the longest dimension (length, width, or height) of the smoke detector, measured in centimeters?\nPlease answer t... | The video presents a tour of a small, cluttered apartment, primarily focusing on the entryway, kitchenette, and bedroom areas. The camera pans across various objects including shoes, bags, a white cabinet, a laundry basket, and a suitcase, with no people visible. It moves from the entryway, showing coats and shoes on t... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 11 |
c0c39288-f0cc-43bc-a31d-388c3123256e | scannetpp/videos/ea42cd27e6.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (heater, towel, mouse, blanket) is the closest to the trash can?
If there are multiple instances of an object category, measure to the closest.
Options:
A. heater
B. towel
C. mouse
D. blanket
Answer with the option's le... | [
"A. heater",
"B. towel",
"C. mouse",
"D. blanket"
] | vsibench_scannetpp | vlm3r_vsibench | ea42cd27e6 | 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 (heater, towel, mouse, blanket) is the closest to the trash can... | The video presents a series of static shots inside a small, cluttered room, likely a bedroom or dormitory. The camera pans across various areas, showing a bed with an orange sheet and messy blankets, a white wardrobe with open shelves holding clothes and items, a desk with a computer monitor and draped fabric, and a pu... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ea42cd27e6/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ea42cd27e6/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ea42cd27e6/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ea42cd27e6/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ea42cd27e6/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | D |
68168ebd-6df5-427b-ac97-084f0663f447 | scannetpp/videos/724c40236c.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (paper bag, sofa, cabinet, table) is the closest to the soap dispenser?
If there are multiple instances of an object category, measure to the closest.
Options:
A. paper bag
B. sofa
C. cabinet
D. table
Answer with the op... | [
"A. paper bag",
"B. sofa",
"C. cabinet",
"D. table"
] | vsibench_scannetpp | vlm3r_vsibench | 724c40236c | 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 (paper bag, sofa, cabinet, table) is the closest to the soap di... | The video shows a cluttered, active robotics or engineering lab environment. A white robotic arm is visible on a raised platform, surrounded by desks with computers, cables, and various tools and boxes. The camera pans across the space, showing multiple workstations, a sofa area with a soccer ball on the floor, and col... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/724c40236c/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/724c40236c/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/724c40236c/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/724c40236c/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/724c40236c/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | D |
00984741-adad-4177-9890-b0eb4c181833 | scannet/videos/scene0107_00.mp4 | These are frames of a video.
How many nightstand(s) are in this room?
Please answer the question using a single word or phrase. | [] | vsibench_scannet | vlm3r_vsibench | scene0107_00 | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nHow many nightstand(s) are in this room?\nPlease answer the question using a single word or phrase."
},
{
"from": "gpt",
"v... | The video shows a hotel room with a bed, a nightstand with a lamp and phone, and an armchair near a window with curtains. The camera pans around the room, capturing different angles of the furniture and decor, including a desk with a chair, a TV stand, and a suitcase on a luggage rack. There are no people or animals vi... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0107_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0107_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0107_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0107_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0107_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2 |
f33008b8-b39e-4545-abf8-502087b4bfa4 | Rotation2-v1/cubeA_grasp_view2_position_offset/f33008b8-b39e-4545-abf8-502087b4bfa4.mp4 | <video>
This is a video of a robotic arm performing a task, an error occurred during execution. Please provide high-level corrective instructions to help the robot recover and complete 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>\nThis is a video of a robotic arm performing a task, an error occurred during execution. Please provide high-level corrective instructions to help the robot recover a... | A white robotic arm with black joints is positioned over a wooden table, interacting with three small objects—a green cube, a purple cube, and a blue sphere—placed on a pink circular mat. The robot's end effector repeatedly moves toward and away from the green cube, suggesting it is attempting to manipulate or pick it ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/f33008b8-b39e-4545-abf8-502087b4bfa4/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/f33008b8-b39e-4545-abf8-502087b4bfa4/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/f33008b8-b39e-4545-abf8-502087b4bfa4/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/f33008b8-b39e-4545-abf8-5020... | null | null | null | null | null | no_context | v5_curated | null | To recover from this failure, the robot arm should first focus on repositioning itself to ensure proper alignment with the green cube. This realignment process will involve adjusting its position accurately prior to attempting to grasp the green cube again, thereby ensuring that it can successfully complete the subsequ... |
3b83bf32-2adb-4f29-b10d-9376b1b1b9f1 | SafeTask-hammer/safe_knob_rotate_view4/3b83bf32-2adb-4f29-b10d-9376b1b1b9f1.mp4 | <video>
Based on the video showing an error during the robotic arm 's execution of a task, give detailed high-level guidance for correcting the error and enabling task completion. | [] | robofac_action_qa | robofac | null | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nBased on the video showing an error during the robotic arm 's execution of a task, give detailed high-level guidance for correcting the error and enabling task compl... | In a kitchen setting, a robotic arm with a gripper is interacting with a light-green, box-like object on the floor. The robot first picks up a small hammer from the floor, then uses it to strike the object, which appears to be a safe or a similar container. The camera remains stationary throughout the sequence, providi... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/3b83bf32-2adb-4f29-b10d-9376b1b1b9f1/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/3b83bf32-2adb-4f29-b10d-9376b1b1b9f1/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/3b83bf32-2adb-4f29-b10d-9376b1b1b9f1/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/3b83bf32-2adb-4f29-b10d-9376... | null | null | null | null | null | no_context | v5_curated | null | To recover from this failure, the robot arm should perform the following high-level correction steps: First, release the grasp on the safe knob. Then, reorient the robot arm to properly align with the knob. Next, grasp the knob again and ensure that the rotation is complete by applying a full 180-degree turn to securel... |
68763382-197a-4cec-9116-5e5be85be1e7 | ScanNet/videos/train/scene0611_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 table in frame 4 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0611_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 table in frame 4 o... | The video shows a conference room with a long, light-colored table surrounded by several black mesh-back office chairs. The camera pans around the room, capturing the chairs, a whiteboard with a green marker, and a door with frosted glass. There are no people visible, and the camera moves slowly, giving a general overv... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0611_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0611_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0611_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0611_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0611_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 0.9 |
9a4af812-e063-495c-834e-0e63021dafbf | ScanNet/videos/train/scene0555_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 | scene0555_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 tour of an office or showroom space, featuring multiple workstations with black desks, office chairs, and computer setups. The camera pans across the area, capturing shelves with storage boxes, a printer, and a large black filing cabinet against a green wall. It also moves to show a white counter with... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0555_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0555_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0555_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0555_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0555_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 4.4 |
a8e4b66a-30ca-4951-acd0-6833448b1a9f | ScanNet/videos/train/scene0006_01.mp4 | <image>
These are frames of a video.
Measuring from the closest point of each object, which of these objects (tv, bed, desk) is the closest to the camera in frame 16 of 32?
Options:
A. tv
B. bed
C. desk
Answer with the option's letter from the given choices directly. | [
"A. tv",
"B. bed",
"C. desk"
] | vstibench_camera_obj_rel_dist_v2 | vlm3r_vstibench | scene0006_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 (tv, bed, desk) is the closest to the camera in frame 16 of 32?... | The video shows a hotel room with two beds, a desk with a chair, and a dresser with a TV. A suitcase and some clothes are on the floor near the bed. The camera pans around the room, showing the decor, including framed pictures on the wall and a lamp on the nightstand. There are no people or animals visible in the video... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0006_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0006_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0006_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0006_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0006_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | C |
bf802277-1976-4a32-927b-0edb857ec655 | ScanNet/videos/train/scene0370_01.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 6 and frame 22 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0370_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 6 and frame 22 of 32?\nPlease answer the question using a single wo... | The video shows a series of static shots inside what appears to be a break room or waiting area, featuring tables, chairs, a microwave, and various supplies. There are no people or animals visible, and the camera remains stationary throughout, panning slightly between frames to capture different angles of the room, inc... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0370_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0370_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0370_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0370_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0370_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.3 |
9a76f6ca-dc27-43d9-ad4e-2b4ece9548ba | scannetpp/videos/9444b90aaa.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 plant pot (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 9444b90aaa | 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 plant pot (in meters)?\nPlease ... | The video presents a series of static shots inside a small, cluttered room, likely a bedroom or dormitory. The camera pans across various areas, showing a bed with a patterned cover and a teddy bear, shelves filled with personal items like photo frames, snacks, and electronics, a desk with a black chair, and a doorway ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/9444b90aaa/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9444b90aaa/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9444b90aaa/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9444b90aaa/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/9444b90aaa/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 2.6 |
fb83a28e-d77b-4709-bd07-38de831114a9 | ScanNet/videos/train/scene0667_02.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 14 and frame 23 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0667_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.\nApproximately how far (in meters) did the camera move between frame 14 and frame 23 of 32?\nPlease answer the question using a single w... | The video shows a quiet room with wooden tables and chairs, likely a study or meeting space. A backpack rests on one table, and several lamps are placed on the tables. The camera pans around the room, capturing different angles of the furniture and the carpeted floor, with no people or movement visible. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0667_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0667_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0667_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0667_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0667_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.0 |
a9e1a9ff-1de6-4043-965e-6af9ed187bea | ScanNet/videos/train/scene0516_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 17 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 Right, Forward, and Backward.
Options:
A. Right
B. Forward
C. Backward
Answer with the option's lette... | [
"A. Right",
"B. Forward",
"C. Backward"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0516_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 17 and frame 20 of 32, what was the primary consistent direction of the camera's movement relative to... | The video shows a view moving through a cluttered, dimly lit interior space, likely a basement or utility area, with exposed pipes and wooden beams overhead. The camera pans across various rooms and hallways, passing by a white curtain that separates spaces, a green bag on the floor, and a doorway leading into a bathro... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0516_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0516_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0516_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0516_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0516_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
1e696f9b-3d52-4d91-9ec6-cd8fcf333fb1 | scannetpp/videos/5fd8addedf.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the poster and the door (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 5fd8addedf | 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 poster and the door (in meters)?\nPlease answe... | The video presents a series of static shots showcasing a lived-in, compact kitchen and living area. The main visible objects include white cabinets, a sink, a dish rack, a refrigerator covered in drawings, a grey sofa with a blue blanket, and various shelves holding kitchenware and bottles. The camera pans and tilts be... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/5fd8addedf/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5fd8addedf/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5fd8addedf/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5fd8addedf/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/5fd8addedf/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 4.5 |
57ff137d-3e3b-48ff-903d-cd810573d6f4 | scannetpp/videos/30f4a2b44d.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (door, office chair, whiteboard, bottle) is the closest to the cup?
If there are multiple instances of an object category, measure to the closest.
Options:
A. door
B. office chair
C. whiteboard
D. bottle
Answer with the... | [
"A. door",
"B. office chair",
"C. whiteboard",
"D. bottle"
] | vsibench_scannetpp | vlm3r_vsibench | 30f4a2b44d | 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 (door, office chair, whiteboard, bottle) is the closest to the ... | The video presents a tour of an office space, showing various stationary objects like a desk with a computer, chairs, a whiteboard with writing, and a bookshelf. The camera pans across the room, moving from a wide view of the desk and window to close-ups of items on the desk, the bookshelf, and the whiteboard, with som... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/30f4a2b44d/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
e92fa395-a886-4091-a88c-5d51416b7a74 | ScanNet/videos/train/scene0543_02.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 2 and frame 17 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0543_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.\nApproximately how far (in meters) did the camera move between frame 2 and frame 17 of 32?\nPlease answer the question using a single wo... | The video shows a quiet indoor space with two light blue armchairs and a small round wooden table positioned near a wooden slatted wall. The camera pans around the seating area, then moves toward a row of desks with beige chairs and bulletin boards on the wall. The floor is a polished, speckled material, and the camera... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0543_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0543_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0543_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0543_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0543_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 8.7 |
1833795f-e131-4a06-8ad3-ca696166f419 | ScanNet/videos/train/scene0239_02.mp4 | <image>
These are frames of a video.
In frame 23 of 32, relative to radiator, is tv to the [Up/Down]?
Options:
A. Up
B. Down
Answer with the option's letter from the given choices directly. | [
"A. Up",
"B. Down"
] | vstibench_obj_obj_relative_pos_ud | vlm3r_vstibench | scene0239_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 23 of 32, relative to radiator, is tv to the [Up/Down]?\nOptions:\nA. Up\nB. Down\nAnswer with the option's letter from the gi... | The video shows a quiet, indoor space with a whiteboard covered in writing, a lit table with benches, and a lounge area with dark sofas and bright green ottomans. The camera pans around the room, capturing artwork on the walls, a mounted TV, and a radiator, with no people or significant motion visible. The perspective ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0239_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0239_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0239_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0239_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0239_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
52813 | /SpaceR-151k/General-data/videos/ytb_ZfMJt9L_7dI.mp4 | How many pieces of seaweed are added to the bowl of ramen? | [
"A. A. One",
"B. B. Four",
"C. C. Three",
"D. D. Two"
] | 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 many pieces of seaweed are added to the bowl of ramen?\n(A) A. A. One\n(B) B. B. Four\n(C) C. C. Three\n(D) D. D. Two"
},
{
"from": "gpt",
"value": "... | A man in a denim jacket sits at his office desk as someone prepares and serves him a bowl of ramen using a portable stove. He eats the ramen enthusiastically, reacting with expressions of delight, while the camera captures the scene from a frontal perspective, shifting to a hidden camera angle at the end. | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ytb_ZfMJt9L_7dI/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_ZfMJt9L_7dI/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_ZfMJt9L_7dI/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_ZfMJt9L_7dI/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_ZfMJt9L_7dI/04.jpg",
"... | null | null | null | null | null | no_context | v5_curated | null | A |
a8eeb9cb-e8ef-455c-a403-16e8b754386f | scannet/videos/scene0620_00.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 bed (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannet | vlm3r_vsibench | scene0620_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 door and the bed (in meters)?\nPlease answer t... | The video shows a simple dorm room with a wooden loft bed covered in a blue mattress, a matching wooden desk with a black office chair, and a built-in shelving unit above the desk. The camera pans around the room, showing the bed, desk, and a window with blinds, as well as a door with a gold handle. There are no people... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0620_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0620_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0620_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0620_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0620_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 0.7 |
17214af0-e9a4-405c-8992-81ea871f8284 | scannet/videos/scene0093_02.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (monitor, table, telephone, window) is the closest to the backpack?
If there are multiple instances of an object category, measure to the closest.
Options:
A. monitor
B. table
C. telephone
D. window
Answer with the opti... | [
"A. monitor",
"B. table",
"C. telephone",
"D. window"
] | vsibench_scannet | vlm3r_vsibench | scene0093_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 (monitor, table, telephone, window) is the closest to the backp... | The video shows a static view of an office space with a large desk cluttered with multiple computer monitors, keyboards, headphones, papers, and a water bottle. A blue office chair is positioned near a window, and a whiteboard with mathematical equations and a smiley face is mounted on the wall. The camera pans slightl... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0093_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0093_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0093_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0093_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0093_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | D |
50015 | /SpaceR-151k/General-data/videos/GMSTS.mp4 | Which object did the person take after they held the clothes? | [
"A. A. The paper/notebook.",
"B. B. The bag.",
"C. C. The broom.",
"D. D. The towel."
] | 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>\nWhich object did the person take after they held the clothes?\n(A) A. A. The paper/notebook.\n(B) B. B. The bag.\n(C) C. C. The broom.\n(D) D. D. The towel."
},
... | A man stands in a hallway, initially holding a light-colored garment. He proceeds to put the garment on over his shirt, adjusting it as he goes. After dressing, he turns and walks away down the hallway, moving toward the bright exit at the far end. The camera remains stationary throughout, capturing the man from a fixe... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/GMSTS/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/GMSTS/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/GMSTS/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/GMSTS/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/GMSTS/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/GMSTS/05.jpg",
... | null | null | null | null | null | no_context | v5_curated | null | A |
51e8afb6-67fb-49dc-b677-6bbe8ad2eddf | ScanNet/videos/train/scene0487_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, Left, and Backward.
Options:
A. Forward
B. Left
C. Backward
Answer with the option's letter ... | [
"A. Forward",
"B. Left",
"C. Backward"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0487_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 small kitchenette and adjacent lounge area. The camera pans across the space, capturing a coffee machine, sink, refrigerator, and trash bins, then moves to show seating with orange and red chairs and a sofa around a round coffee table. A microwave sits on a small table near a bulletin board, and the c... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0487_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0487_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0487_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0487_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0487_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
582b330a-ad7c-4123-bf62-999c619c82a8 | scannetpp/videos/8a35ef3cfe.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the storage cabinet and the refrigerator (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 8a35ef3cfe | 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 storage cabinet and the refrigerator (in meter... | The video presents a tour of a modern, compact apartment, moving through a hallway into a living area, a workspace, and a kitchen. The camera pans across various rooms, showing a grey sectional sofa on a yellow rug, a desk with dual monitors, a TV on a wooden stand, and a white kitchen with grey tiles and wooden handle... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/8a35ef3cfe/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8a35ef3cfe/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8a35ef3cfe/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8a35ef3cfe/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8a35ef3cfe/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 1.2 |
4f765228-bfc5-4099-bd5c-0d98aa749338 | ScanNet/videos/train/scene0541_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 bed in frame 8 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0541_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 bed in frame 8 of ... | The video shows a bedroom with wooden furniture, including a bed with a plaid comforter, a tall dresser, and a smaller nightstand. Clothes are hanging on a door and draped over a chair, while an ironing board with folded clothes sits near a wooden wall. The camera pans across the room, capturing different angles of the... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0541_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0541_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0541_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0541_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0541_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.2 |
c339e22d-38fd-415d-b96a-ac8f91f41580 | ScanNet/videos/train/scene0705_01.mp4 | <image>
These are frames of a video.
Measuring from the closest point of each object, which of these objects (backpack, table) is the closest to the camera in frame 3 of 32?
Options:
A. backpack
B. table
Answer with the option's letter from the given choices directly. | [
"A. backpack",
"B. table"
] | vstibench_camera_obj_rel_dist_v3 | vlm3r_vstibench | scene0705_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, table) is the closest to the camera in frame 3 of 32... | The video shows a quiet conference room with a wooden table, several black office chairs, and a whiteboard with some writing on it. A blue backpack is resting on one of the chairs, and a few small items like a phone, cables, and papers are on the table. The camera pans around the room, capturing different angles of the... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0705_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0705_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0705_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0705_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0705_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
16fe43a0-7003-4dfb-8574-7a5f8722655f | ScanNet/videos/train/scene0472_00.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 18 and frame 23 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0472_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 18 and frame 23 of 32?\nPlease answer the question using a single w... | The video shows a tour of a small apartment, with the camera panning across different rooms. It begins in a bedroom with a bed, a wooden chair at a desk, and a patterned bedspread, then moves to a living area with a striped sofa and a desk with an office chair. The camera continues to the kitchen, showing a refrigerato... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0472_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0472_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0472_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0472_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0472_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 2.9 |
0eec0ff1-9015-4ebc-a95a-bb635fe4b21c | scannetpp/videos/de5881aa12.mp4 | These are frames of a video.
What is the length of the longest dimension (length, width, or height) of the clock, measured in centimeters?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | de5881aa12 | 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 length of the longest dimension (length, width, or height) of the clock, measured in centimeters?\nPlease answer the questi... | The video provides a tour of a small, modern bedroom, starting from a hallway with a grey floor and a dark blue mat, moving past a grey filing cabinet and a white wardrobe to reveal the main room. The camera pans across the room, showing a bed with a blue and white patterned cover, a grey sofa with colorful cushions, a... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/de5881aa12/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/de5881aa12/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/de5881aa12/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/de5881aa12/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/de5881aa12/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 55 |
9265806a-3ad1-4ab4-905a-1198806f986c | scannetpp/videos/70f0e494b2.mp4 | These are frames of a video.
What is the length of the longest dimension (length, width, or height) of the cup, measured in centimeters?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 70f0e494b2 | 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 length of the longest dimension (length, width, or height) of the cup, measured in centimeters?\nPlease answer the question... | The video presents a tour of a small, tidy bedroom with light wood flooring and neutral walls. The camera pans across the room, showing a bed with a wooden frame and rumpled bedding, a desk with an office chair near a window with sheer curtains, and various storage units including a tall white wardrobe, a wooden cabine... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/70f0e494b2/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/70f0e494b2/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/70f0e494b2/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/70f0e494b2/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/70f0e494b2/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 10 |
ff5c30d0-3dbd-486b-b93c-31bba87ea347 | ScanNet/videos/train/scene0098_00.mp4 | <image>
These are frames of a video.
What is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the desk in frame 18 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0098_00 | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nWhat is the approximate distance (in meters) between the camera (or the person filming) and the nearest point of the desk in frame 18 o... | The video shows a static office environment with multiple desks, chairs, and computer equipment. Two gray office chairs are positioned at a wooden desk, with papers and a mug on the surface. In the background, another desk with a computer monitor, headphones, and a window is visible. The camera pans across the room, ca... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0098_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0098_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0098_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0098_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0098_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 0.5 |
a7a886df-6215-499c-874f-3a53ca13262e | scannetpp/videos/cf1ffd871d.mp4 | These are frames of a video.
If I am standing by the bag and facing the bed, is the tv to the left or the right of the bed?
Options:
A. left
B. right
Answer with the option's letter from the given choices directly. | [
"A. left",
"B. right"
] | vsibench_scannetpp | vlm3r_vsibench | cf1ffd871d | 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 bag and facing the bed, is the tv to the left or the right of the bed?\nOptions:\nA. left\nB. right\nAnswer wit... | The video provides a tour of a small hotel room, showing its main features from various angles. The camera pans across the room, revealing a bed with white linens, a wooden desk with a TV mounted above it, and a large floral painting on a green wall. It also shows a backpack and a coat on a chair, and a glimpse into an... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/cf1ffd871d/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cf1ffd871d/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cf1ffd871d/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cf1ffd871d/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cf1ffd871d/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | A |
e3868336-b7c1-49c3-b901-791ecdb0d45d | scannet/videos/scene0111_01.mp4 | These are frames of a video.
If I am standing by the tv and facing the telephone, is the backpack to the left or the right of the telephone?
Options:
A. right
B. left
Answer with the option's letter from the given choices directly. | [
"A. right",
"B. left"
] | vsibench_scannet | vlm3r_vsibench | scene0111_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 tv and facing the telephone, is the backpack to the left or the right of the telephone?\nOptions:\nA. right\nB.... | The video shows a quick tour of a small apartment, with the camera panning across different rooms. It begins near a trash bin filled with snack wrappers, moves to a kitchen with a stove, sink, and refrigerator, then shifts to a living area with a couch and a TV on a stand. The camera also briefly captures a doorway, a ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0111_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0111_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0111_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0111_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0111_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
cff80188-c115-41c0-9893-61713bee08e3 | UprightStack-gen2/grasp_peg_view2_position_offset/cff80188-c115-41c0-9893-61713bee08e3.mp4 | <video>
In the video, the robotic arm executes a task. Please break down its execution into a sequence of subtasks. | [] | robofac_action_qa | robofac | null | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nIn the video, the robotic arm executes a task. Please break down its execution into a sequence of subtasks."
},
{
"from": "gpt",
"value": "1. Reach for t... | A white and black robotic arm is positioned over a tiled floor, with a purple rectangular block, a yellow sphere, and a multi-colored cube nearby. The robot's gripper moves down toward the purple block, briefly makes contact, and then retracts, leaving the block and the other two objects undisturbed on the floor. The c... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/cff80188-c115-41c0-9893-61713bee08e3/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cff80188-c115-41c0-9893-61713bee08e3/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cff80188-c115-41c0-9893-61713bee08e3/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/cff80188-c115-41c0-9893-6171... | null | null | null | null | null | no_context | v5_curated | null | 1. Reach for the long block.
2. Grasp the long block.
3. Lift the long block.
4. Move the long block to the rubik's cube.
5. Stack the long block on the rubik's cube. |
01a3b3eb-8947-4d22-a0d3-7278c55bec6d | ScanNet/videos/train/scene0545_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 bed in frame 18 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0545_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 bed in frame 18 of... | The video shows a simple dorm room with a wooden desk and chair, a bed with a red mattress, and a window with curtains. The camera pans around the room, focusing on the desk, which has an open drawer, and then moves to show the bed and a radiator near the wall. There are no people or animals visible, and the camera mov... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0545_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0545_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0545_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0545_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0545_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 0.4 |
433cac76-4383-453f-8b48-7fce81465a16 | scannetpp/videos/c4aaedcfd1.mp4 | These are frames of a video.
If I am standing by the door and facing the cup, is the keyboard 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. back-right
C. ... | [
"A. back-left",
"B. back-right",
"C. front-right",
"D. front-left"
] | vsibench_scannetpp | vlm3r_vsibench | c4aaedcfd1 | 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 door and facing the cup, is the keyboard to my front-left, front-right, back-left, or back-right?\nThe directio... | The video shows a quick tour of a small, cluttered bedroom with a sloped ceiling. The camera pans across various objects including a bed with a blue mattress, a desk with a computer, a folding chair, a radiator, and a wardrobe with items stored on top. It also captures a window sill with a potted plant, a fan, a clothi... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/c4aaedcfd1/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c4aaedcfd1/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c4aaedcfd1/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c4aaedcfd1/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c4aaedcfd1/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | D |
6dc295f6-d02e-42ae-ad52-d94a1ab5fdc5 | scannetpp/videos/2e5c249de3.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 chair (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 2e5c249de3 | 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 chair (in meters)?\nPle... | The video shows a tour of a small bedroom with light-colored walls and a herringbone wood floor. The main objects include a bed with a dark blue cover, a light blue dresser with floral decorations, a grey curtain, and a white wardrobe. The camera pans across the room, showing different angles of the furniture and the s... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/2e5c249de3/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2e5c249de3/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2e5c249de3/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2e5c249de3/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2e5c249de3/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 3.1 |
8fd72d79-13ee-4b93-a50e-ded687fcfd1c | ScanNet/videos/train/scene0280_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 bed in frame 11 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_obj_abs_dist | vlm3r_vstibench | scene0280_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 bed in frame 11 of... | The video shows a cluttered bedroom with a bed, a large shelving unit filled with various items, and scattered clothes and boxes on the floor. The camera pans around the room, capturing different angles of the disorganized space, including a patterned rug, a green exercise ball, and a ceiling fan. No people or animals ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0280_01/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0280_01/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0280_01/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0280_01/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0280_01/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.4 |
d025b8d7-5543-46ed-a7a2-067b59108a97 | scannetpp/videos/c3bc5e82c5.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (picture, cabinet, curtain, office chair) is the closest to the smoke detector?
If there are multiple instances of an object category, measure to the closest.
Options:
A. picture
B. cabinet
C. curtain
D. office chair
An... | [
"A. picture",
"B. cabinet",
"C. curtain",
"D. office chair"
] | vsibench_scannetpp | vlm3r_vsibench | c3bc5e82c5 | 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 (picture, cabinet, curtain, office chair) is the closest to the... | The video presents a series of static shots inside a small, cluttered bedroom. The camera pans across various elements including a bed with a rumpled beige duvet, a desk with a monitor, a laptop stand, and a chair with a blue bag draped over it. Several framed pictures of cities like São Paulo and Prague are visible on... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/c3bc5e82c5/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c3bc5e82c5/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c3bc5e82c5/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c3bc5e82c5/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/c3bc5e82c5/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | C |
00504a2c-7504-473a-bedc-b12c73766efd | scannet/videos/scene0576_02.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (lamp, trash bin, bookshelf, window) is the closest to the mirror?
If there are multiple instances of an object category, measure to the closest.
Options:
A. lamp
B. trash bin
C. bookshelf
D. window
Answer with the opti... | [
"A. lamp",
"B. trash bin",
"C. bookshelf",
"D. window"
] | vsibench_scannet | vlm3r_vsibench | scene0576_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 (lamp, trash bin, bookshelf, window) is the closest to the mirr... | The video shows a dimly lit bedroom with a bed, nightstand, dresser, and a floor lamp. The camera pans around the room, capturing various angles of the furniture and decor, including a trash can near the bed and a desk with a lamp by the window. There are no people or animals visible, and the camera moves slowly, givin... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0576_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0576_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0576_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0576_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0576_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
6a8cbfc9-43ef-46f9-a318-e5ba00448423 | ScanNet/videos/train/scene0358_02.mp4 | <image>
These are frames of a video.
During the sequence between frame 21 and frame 31 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 Forward.
Options:
A. Right
B. Forward
Answer with the option's letter from the given choice... | [
"A. Right",
"B. Forward"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0358_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 21 and frame 31 of 32, what was the primary consistent direction of the camera's movement relative to... | The video shows a quiet room with a long wooden table surrounded by several wooden chairs. A backpack rests on one of the chairs, and a whiteboard is mounted on the wall. The camera pans around the room, capturing the table, chairs, and a door with a window, while also showing a trash can and a wall-mounted phone. Ther... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0358_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0358_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0358_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0358_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0358_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | B |
41136 | /SpaceR-151k/General-data/videos/ytb_YUvoQj4KaO8.mp4 | What is Jenny wearing in the video? | [
"A. A. A white T-shirt and shorts",
"B. B. A green long-sleeve shirt and blue jeans",
"C. C. A yellow jacket and black pants",
"D. D. A red dress"
] | 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 Jenny wearing in the video?\n(A) A. A. A white T-shirt and shorts\n(B) B. B. A green long-sleeve shirt and blue jeans\n(C) C. C. A yellow jacket and black pa... | The video tells the story of a woman who, after her bicycle was stolen in 2017, tracked down the thief and reclaimed it. The narrative shows her initially writing down details, then later contacting the seller who had posted the bike online, and finally confronting the thief in a bike shop where he was attempting to se... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/ytb_YUvoQj4KaO8/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_YUvoQj4KaO8/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_YUvoQj4KaO8/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_YUvoQj4KaO8/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/ytb_YUvoQj4KaO8/04.jpg",
"... | null | null | null | null | null | no_context | v5_curated | null | B |
8e0a8b04-f6ad-48cb-b4b0-2f7bd5058d33 | ScanNet/videos/train/scene0572_01.mp4 | <image>
These are frames of a video.
During the sequence between frame 10 and frame 24 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, Left, and Right.
Options:
A. Backward
B. Forward
C. Left
D. Right
Answer with the ... | [
"A. Backward",
"B. Forward",
"C. Left",
"D. Right"
] | vstibench_camera_movement_direction | 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.\nDuring the sequence between frame 10 and frame 24 of 32, what was the primary consistent direction of the camera's movement relative to... | 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 | D |
51951 | /SpaceR-151k/General-data/videos/K0Y6X.mp4 | Which object was opened by the person? | [
"A. A. The laptop.",
"B. B. The book.",
"C. C. The closet/cabinet.",
"D. D. The bag."
] | 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>\nWhich object was opened by the person?\n(A) A. A. The laptop.\n(B) B. B. The book.\n(C) C. C. The closet/cabinet.\n(D) D. D. The bag."
},
{
"from": "gpt",
... | A man in a striped shirt and lungi enters a dimly lit room carrying a laptop. He walks to a spot near a window and a wall-mounted electrical panel, then stands holding the laptop as he appears to set it up or begin using it. The camera remains mostly stationary, capturing his movements from a fixed perspective as he in... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/K0Y6X/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/K0Y6X/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/K0Y6X/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/K0Y6X/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/K0Y6X/04.jpg",
"/data1/hbatra/4DReasoner_v5/frames/K0Y6X/05.jpg",
... | null | null | null | null | null | no_context | v5_curated | null | A |
9fc2dcf3-a49b-4bc0-9291-3fe9684212cf | scannetpp/videos/d290096f64.mp4 | These are frames of a video.
If I am standing by the soap dispenser and facing the ceiling lamp, is the light switch to my left, right, or back?
An object is to my back if I would have to turn at least 135 degrees in order to face it.
Options:
A. back
B. right
C. left
Answer with the option's letter from the given choi... | [
"A. back",
"B. right",
"C. left"
] | vsibench_scannetpp | vlm3r_vsibench | d290096f64 | 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 soap dispenser and facing the ceiling lamp, is the light switch to my left, right, or back?\nAn object is to my... | The video shows a small, tiled bathroom with blue walls and a white tiled floor, containing a toilet, a wall-mounted sink with a faucet, and a paper towel dispenser. The camera pans around the space, showing the toilet with its lid up, a small wire basket for waste, a toilet brush, and a toilet paper dispenser. The cam... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/d290096f64/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d290096f64/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d290096f64/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d290096f64/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/d290096f64/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | C |
16a64f15-757c-4793-aa43-aab948b99de9 | scannet/videos/scene0241_00.mp4 | These are frames of a video.
If I am standing by the lamp and facing the bookshelf, is the radiator to the left or the right of the bookshelf?
Options:
A. left
B. right
Answer with the option's letter from the given choices directly. | [
"A. left",
"B. right"
] | vsibench_scannet | vlm3r_vsibench | scene0241_00 | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nIf I am standing by the lamp and facing the bookshelf, is the radiator to the left or the right of the bookshelf?\nOptions:\nA. left\nB... | The video shows a cluttered bedroom or study area with a glass-topped desk, a zebra-print chair, and various items like books, a model airplane, and storage bins scattered around. The camera pans across the room, capturing different angles of the desk, a bookshelf, a nightstand, and two white doors, with no people or a... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0241_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0241_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0241_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0241_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0241_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
67de265f-5ea3-4b03-b648-3e1ee1ce2c2a | scannetpp/videos/8a20d62ac0.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (office chair, monitor, light switch, bookshelf) is the closest to the window?
If there are multiple instances of an object category, measure to the closest.
Options:
A. office chair
B. monitor
C. light switch
D. booksh... | [
"A. office chair",
"B. monitor",
"C. light switch",
"D. bookshelf"
] | vsibench_scannetpp | vlm3r_vsibench | 8a20d62ac0 | 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 (office chair, monitor, light switch, bookshelf) is the closest... | The video presents a tour of an office space, showcasing various furniture and equipment. The camera pans across the room, highlighting a prominent black gaming-style chair with a "KILLABEE" logo, a desk with a computer monitor, a yellow filing cabinet, and large bookshelves filled with books and papers. The camera mov... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/8a20d62ac0/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8a20d62ac0/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8a20d62ac0/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8a20d62ac0/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/8a20d62ac0/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | B |
0119cd14-c4f7-4966-8d16-1ce3a3262cab | ScanNet/videos/train/scene0106_02.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 2 and frame 14 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0106_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.\nApproximately how far (in meters) did the camera move between frame 2 and frame 14 of 32?\nPlease answer the question using a single wo... | The video shows a quiet, empty computer lab or classroom with multiple desks, monitors, and chairs. The camera pans across the room, capturing rows of workstations, a whiteboard on the back wall, a sink and chair in a corner, and large windows offering a view of trees and buildings outside. There are no people or anima... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0106_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0106_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0106_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0106_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0106_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 3.5 |
0bf16936-c0e4-438b-a2f7-2c7a56574e4f | scannetpp/videos/2f6f83ea1f.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the cup and the slippers (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | 2f6f83ea1f | 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 cup and the slippers (in meters)?\nPlease answ... | The video presents a tour of a small, cluttered apartment, primarily focusing on the entryway, kitchenette, and bedroom areas. The camera pans across various objects including shoes, bags, a white cabinet, a laundry basket, and a suitcase, with no people visible. It moves from the entryway, showing coats and shoes on t... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/2f6f83ea1f/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 2.1 |
47fae358-0004-49c5-a0fa-53865843546f | scannetpp/videos/b37177e6c8.mp4 | These are frames of a video.
Measuring from the closest point of each object, which of these objects (light switch, spray bottle, window, cabinet) is the closest to the heater?
If there are multiple instances of an object category, measure to the closest.
Options:
A. light switch
B. spray bottle
C. window
D. cabinet
An... | [
"A. light switch",
"B. spray bottle",
"C. window",
"D. cabinet"
] | vsibench_scannetpp | vlm3r_vsibench | b37177e6c8 | 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 (light switch, spray bottle, window, cabinet) is the closest to... | The video shows a tour of a room with light wood flooring and sloped ceilings, featuring various pieces of furniture including a large wooden wardrobe, a white cabinet, and a glass-fronted display cabinet. A clothes drying rack with garments is visible, and a backpack rests near a door. The camera pans across the room,... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/b37177e6c8/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/b37177e6c8/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/b37177e6c8/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/b37177e6c8/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/b37177e6c8/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | A |
2395131a-2c21-4551-93d7-776666bbc930 | ScanNet/videos/train/scene0294_02.mp4 | <image>
These are frames of a video.
Approximately how far (in meters) did the camera move between frame 10 and frame 22 of 32?
Please answer the question using a single word or phrase. | [] | vstibench_camera_displacement | vlm3r_vstibench | scene0294_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.\nApproximately how far (in meters) did the camera move between frame 10 and frame 22 of 32?\nPlease answer the question using a single w... | The video shows a room with a purple sofa, a patterned ottoman, and a long wooden table surrounded by black chairs. A whiteboard is mounted on the wall, and a TV is mounted above a light-colored cabinet. The camera pans around the room, capturing different angles of the furniture and decor, including a framed abstract ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0294_02/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0294_02/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0294_02/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0294_02/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0294_02/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | 1.6 |
b3dad68f-a9f3-4d7b-bfa3-45498d3c3fed | scannetpp/videos/f368a1f730.mp4 | These are frames of a video.
Measuring from the closest point of each object, what is the direct distance between the kettle and the refrigerator (in meters)?
Please answer the question using a single word or phrase. | [] | vsibench_scannetpp | vlm3r_vsibench | f368a1f730 | null | null | null | null | null | null | [
{
"from": "human",
"value": "<image><image><image><image><image><image><image><image><image><image><image><image><image><image><image><image>\nThese are frames of a video.\nMeasuring from the closest point of each object, what is the direct distance between the kettle and the refrigerator (in meters)?\nPlea... | The video presents a series of static shots within a narrow kitchen or utility room, showing various angles of the space. The main visible objects include a bright orange door, a red wire basket, a wooden shelving unit holding cleaning supplies and appliances like a toaster and microwave, a white table with a kettle an... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/f368a1f730/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/f368a1f730/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/f368a1f730/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/f368a1f730/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/f368a1f730/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | 2.2 |
d0f9f2e0-7443-4bbf-b7db-78b4ce4042b4 | scannetpp/videos/480ddaadc0.mp4 | These are frames of a video.
If I am standing by the monitor and facing the office chair, is the bag to my left, right, or back?
An object is to my back if I would have to turn at least 135 degrees in order to face it.
Options:
A. back
B. left
C. right
Answer with the option's letter from the given choices directly. | [
"A. back",
"B. left",
"C. right"
] | vsibench_scannetpp | vlm3r_vsibench | 480ddaadc0 | 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 monitor and facing the office chair, is the bag to my left, right, or back?\nAn object is to my back if I would... | The video shows a room containing multiple medical imaging machines, primarily ultrasound units, arranged around desks and a whiteboard. The camera pans across the space, revealing the equipment, chairs, and a large window with a view of other buildings and bare trees. No people are visible in the frames, and the camer... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/480ddaadc0/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/480ddaadc0/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/480ddaadc0/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/480ddaadc0/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/480ddaadc0/04.jpg",
"/data1/hbatra/4DReasoner_... | null | null | null | null | null | no_context | v5_curated | null | C |
43c4ca06-ee49-415c-bbee-ece3923c7dcb | ScanNet/videos/train/scene0627_00.mp4 | <image>
These are frames of a video.
During the sequence between frame 7 and frame 21 of 32, what was the primary consistent direction of the camera's movement relative to its orientation at the start? The options are Left, Right, and Backward.
Options:
A. Left
B. Right
C. Backward
Answer with the option's letter from ... | [
"A. Left",
"B. Right",
"C. Backward"
] | vstibench_camera_movement_direction | vlm3r_vstibench | scene0627_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 7 and frame 21 of 32, what was the primary consistent direction of the camera's movement relative to ... | The video shows a conference room with a long wooden table surrounded by multiple striped chairs. A red and black backpack rests on one of the chairs near a window, and the camera pans around the room, capturing the empty chairs, the table, and cabinets along the walls. The camera moves slowly, offering a comprehensive... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/scene0627_00/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0627_00/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0627_00/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0627_00/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/scene0627_00/04.jpg",
"/data1/hbatra/4... | null | null | null | null | null | no_context | v5_curated | null | A |
37667 | /SpaceR-151k/General-data/videos/video_02071.mp4 | Analyze the video and select the best option for the following multiple choice question.
Question: Which event will happen next?
Options: | [
"A. A. The yellow cube and the brown rubber cube collide",
"B. B. The brown sphere and the green cube 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: Which event will happen next?\nOptions:\n(A) A. A. The yellow cub... | The video shows a static arrangement of geometric shapes on a flat, light-gray surface. There are five objects: two green spheres (one small and one larger), two gold cubes (one shiny and one matte), and one green cube in the background. A sixth matte gold cube enters the frame from the bottom and moves upward, coming ... | null | null | null | null | null | [
"/data1/hbatra/4DReasoner_v5/frames/video_02071/00.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_02071/01.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_02071/02.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_02071/03.jpg",
"/data1/hbatra/4DReasoner_v5/frames/video_02071/04.jpg",
"/data1/hbatra/4DReas... | null | null | null | null | null | no_context | v5_curated | null | A |
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