id
int64 1.34k
3.18k
| dataset
stringclasses 3
values | scene_name
stringlengths 8
12
| question_type
stringclasses 1
value | category
stringlengths 2
12
| question
stringlengths 929
957
| options
sequencelengths 4
4
| ground_truth
stringlengths 3
12
| mc_answer
stringclasses 4
values | video_suffix
stringclasses 2
values | version
stringclasses 1
value | category, first object
null | category, second object
null | category, positioning object
null | category, orienting object
null | category, querying object
null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,338 | arkitscenes | 42446103 | object_rel_distance | stool | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 stool, 3 chair, 1 stove, 2 table, 1 tv in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. chair",
"B. stove",
"C. table",
"D. tv"
] | chair | A | .mov | 241009 | null | null | null | null | null |
1,358 | arkitscenes | 42897629 | object_rel_distance | stove | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 stove, 2 washer, 1 tv, 2 sofa, 4 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. washer",
"B. tv",
"C. sofa",
"D. table"
] | table | D | .mov | 241009 | null | null | null | null | null |
1,359 | arkitscenes | 42897629 | object_rel_distance | tv | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 tv, 4 table, 1 refrigerator, 2 washer, 1 stove in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. table",
"B. refrigerator",
"C. washer",
"D. stove"
] | table | A | .mov | 241009 | null | null | null | null | null |
1,373 | arkitscenes | 42898849 | object_rel_distance | stove | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 stove, 1 tv, 1 fireplace, 4 table, 8 chair in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. tv",
"B. fireplace",
"C. table",
"D. chair"
] | table | C | .mov | 241009 | null | null | null | null | null |
1,376 | arkitscenes | 42898849 | object_rel_distance | stove | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 stove, 2 sofa, 1 fireplace, 8 chair, 4 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. sofa",
"B. fireplace",
"C. chair",
"D. table"
] | table | D | .mov | 241009 | null | null | null | null | null |
1,378 | arkitscenes | 42899461 | object_rel_distance | fireplace | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 fireplace, 4 chair, 1 sofa, 1 stove, 1 tv in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. chair",
"B. sofa",
"C. stove",
"D. tv"
] | sofa | B | .mov | 241009 | null | null | null | null | null |
1,381 | arkitscenes | 42899461 | object_rel_distance | fireplace | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 fireplace, 3 table, 1 tv, 1 sofa, 1 stove in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. table",
"B. tv",
"C. sofa",
"D. stove"
] | table | A | .mov | 241009 | null | null | null | null | null |
1,395 | arkitscenes | 44358499 | object_rel_distance | tv | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 tv, 1 dishwasher, 1 fireplace, 2 sofa, 4 chair in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. dishwasher",
"B. fireplace",
"C. sofa",
"D. chair"
] | fireplace | B | .mov | 241009 | null | null | null | null | null |
1,405 | arkitscenes | 45260928 | object_rel_distance | fireplace | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 fireplace, 1 sofa, 1 stool, 2 chair, 2 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. sofa",
"B. stool",
"C. chair",
"D. table"
] | table | D | .mov | 241009 | null | null | null | null | null |
1,417 | arkitscenes | 45662924 | object_rel_distance | fireplace | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 fireplace, 1 table, 6 chair, 1 stove, 4 stool in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. table",
"B. chair",
"C. stove",
"D. stool"
] | stool | D | .mov | 241009 | null | null | null | null | null |
1,447 | arkitscenes | 47333457 | object_rel_distance | tv | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 tv, 1 toilet, 1 bed, 3 table, 1 stool in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. toilet",
"B. bed",
"C. table",
"D. stool"
] | table | C | .mov | 241009 | null | null | null | null | null |
1,462 | arkitscenes | 47334096 | object_rel_distance | tv | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 tv, 2 table, 1 stool, 1 sofa, 1 stove in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. table",
"B. stool",
"C. sofa",
"D. stove"
] | table | A | .mov | 241009 | null | null | null | null | null |
1,463 | arkitscenes | 47334096 | object_rel_distance | stove | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 stove, 1 tv, 5 chair, 1 sofa, 1 stool in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. tv",
"B. chair",
"C. sofa",
"D. stool"
] | chair | B | .mov | 241009 | null | null | null | null | null |
1,471 | arkitscenes | 47334103 | object_rel_distance | tv | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 tv, 1 sofa, 1 bathtub, 5 chair, 1 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. sofa",
"B. bathtub",
"C. chair",
"D. table"
] | chair | C | .mov | 241009 | null | null | null | null | null |
1,472 | arkitscenes | 47334103 | object_rel_distance | tv | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 tv, 1 sofa, 5 chair, 1 stool, 1 bathtub in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. sofa",
"B. chair",
"C. stool",
"D. bathtub"
] | chair | B | .mov | 241009 | null | null | null | null | null |
1,479 | arkitscenes | 47429977 | object_rel_distance | refrigerator | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 refrigerator, 1 stove, 1 tv, 2 sofa, 3 chair in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. stove",
"B. tv",
"C. sofa",
"D. chair"
] | stove | A | .mov | 241009 | null | null | null | null | null |
1,485 | arkitscenes | 47429977 | object_rel_distance | tv | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 tv, 1 stove, 3 chair, 1 refrigerator, 2 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. stove",
"B. chair",
"C. refrigerator",
"D. table"
] | table | D | .mov | 241009 | null | null | null | null | null |
1,500 | arkitscenes | 47430468 | object_rel_distance | tv | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 tv, 4 chair, 3 sofa, 1 refrigerator, 1 stove in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. chair",
"B. sofa",
"C. refrigerator",
"D. stove"
] | sofa | B | .mov | 241009 | null | null | null | null | null |
1,933 | scannetpp | cc5237fd77 | object_rel_distance | laptop | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 laptop, 2 computer tower, 2 chair, 2 bookshelf, 2 door in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. computer tower",
"B. chair",
"C. bookshelf",
"D. door"
] | chair | B | .mp4 | 241009 | null | null | null | null | null |
2,019 | scannetpp | 38d58a7a31 | object_rel_distance | keyboard | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 keyboard, 1 whiteboard, 10 ceiling light, 3 heater, 2 coat hanger in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. whiteboard",
"B. ceiling light",
"C. heater",
"D. coat hanger"
] | heater | C | .mp4 | 241009 | null | null | null | null | null |
2,023 | scannetpp | 38d58a7a31 | object_rel_distance | telephone | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 telephone, 2 coat hanger, 1 trash can, 2 door, 8 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. coat hanger",
"B. trash can",
"C. door",
"D. table"
] | table | D | .mp4 | 241009 | null | null | null | null | null |
2,051 | scannetpp | 25f3b7a318 | object_rel_distance | door | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 door, 1 blanket, 1 laptop, 2 chair, 1 basket in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. blanket",
"B. laptop",
"C. chair",
"D. basket"
] | basket | D | .mp4 | 241009 | null | null | null | null | null |
2,060 | scannetpp | bcd2436daf | object_rel_distance | pillow | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 pillow, 1 heater, 1 plant, 1 chair, 1 ceiling light in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. heater",
"B. plant",
"C. chair",
"D. ceiling light"
] | plant | B | .mp4 | 241009 | null | null | null | null | null |
2,073 | scannetpp | 0d2ee665be | object_rel_distance | trash can | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 trash can, 1 microwave, 1 bed, 1 laptop, 2 chair in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. microwave",
"B. bed",
"C. laptop",
"D. chair"
] | laptop | C | .mp4 | 241009 | null | null | null | null | null |
2,093 | scannetpp | ac48a9b736 | object_rel_distance | trash can | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 trash can, 3 door, 9 chair, 8 table, 6 keyboard in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. door",
"B. chair",
"C. table",
"D. keyboard"
] | door | A | .mp4 | 241009 | null | null | null | null | null |
2,101 | scannetpp | ac48a9b736 | object_rel_distance | whiteboard | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 whiteboard, 3 door, 9 monitor, 8 table, 2 computer mouse in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. door",
"B. monitor",
"C. table",
"D. computer mouse"
] | table | C | .mp4 | 241009 | null | null | null | null | null |
2,107 | scannetpp | 578511c8a9 | object_rel_distance | printer | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 printer, 1 telephone, 16 monitor, 1 kettle, 1 table lamp in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. telephone",
"B. monitor",
"C. kettle",
"D. table lamp"
] | kettle | C | .mp4 | 241009 | null | null | null | null | null |
2,136 | scannetpp | 09c1414f1b | object_rel_distance | microwave | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 microwave, 1 tv, 1 trash can, 2 pillow, 1 cutting board in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. tv",
"B. trash can",
"C. pillow",
"D. cutting board"
] | trash can | B | .mp4 | 241009 | null | null | null | null | null |
2,140 | scannetpp | 5f99900f09 | object_rel_distance | suitcase | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 suitcase, 2 door, 5 ceiling light, 1 refrigerator, 2 monitor in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. door",
"B. ceiling light",
"C. refrigerator",
"D. monitor"
] | door | A | .mp4 | 241009 | null | null | null | null | null |
2,145 | scannetpp | 5f99900f09 | object_rel_distance | suitcase | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 suitcase, 2 printer, 1 refrigerator, 11 table, 14 chair in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. printer",
"B. refrigerator",
"C. table",
"D. chair"
] | refrigerator | B | .mp4 | 241009 | null | null | null | null | null |
2,151 | scannetpp | 5f99900f09 | object_rel_distance | suitcase | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 suitcase, 2 printer, 14 chair, 3 whiteboard, 11 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. printer",
"B. chair",
"C. whiteboard",
"D. table"
] | chair | B | .mp4 | 241009 | null | null | null | null | null |
2,154 | scannetpp | 5f99900f09 | object_rel_distance | refrigerator | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 refrigerator, 2 door, 3 whiteboard, 14 chair, 11 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. door",
"B. whiteboard",
"C. chair",
"D. table"
] | chair | C | .mp4 | 241009 | null | null | null | null | null |
2,969 | scannet | scene0356_00 | object_rel_distance | telephone | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 telephone, 1 table, 2 trash bin, 1 bed, 1 window in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. table",
"B. trash bin",
"C. bed",
"D. window"
] | bed | C | .mp4 | 241009 | null | null | null | null | null |
2,975 | scannet | scene0378_01 | object_rel_distance | monitor | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 monitor, 1 clock, 2 bookshelf, 1 door, 4 chair in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. clock",
"B. bookshelf",
"C. door",
"D. chair"
] | chair | D | .mp4 | 241009 | null | null | null | null | null |
2,978 | scannet | scene0378_01 | object_rel_distance | door | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 door, 1 window, 3 table, 1 trash bin, 1 printer in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. window",
"B. table",
"C. trash bin",
"D. printer"
] | table | B | .mp4 | 241009 | null | null | null | null | null |
2,985 | scannet | scene0426_00 | object_rel_distance | window | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 window, 3 chair, 1 lamp, 1 tv, 1 door in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. chair",
"B. lamp",
"C. tv",
"D. door"
] | chair | A | .mp4 | 241009 | null | null | null | null | null |
3,016 | scannet | scene0647_00 | object_rel_distance | tv | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 tv, 2 door, 3 table, 1 chair, 1 backpack in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. door",
"B. table",
"C. chair",
"D. backpack"
] | table | B | .mp4 | 241009 | null | null | null | null | null |
3,027 | scannet | scene0651_02 | object_rel_distance | trash bin | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 trash bin, 2 table, 1 sofa, 1 counter, 4 chair in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. table",
"B. sofa",
"C. counter",
"D. chair"
] | counter | C | .mp4 | 241009 | null | null | null | null | null |
3,046 | scannet | scene0653_00 | object_rel_distance | door | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 door, 7 monitor, 2 window, 2 trash bin, 8 chair in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. monitor",
"B. window",
"C. trash bin",
"D. chair"
] | monitor | A | .mp4 | 241009 | null | null | null | null | null |
3,070 | scannet | scene0697_01 | object_rel_distance | closet | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 closet, 2 bed, 1 tv, 1 lamp, 1 mirror in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. bed",
"B. tv",
"C. lamp",
"D. mirror"
] | bed | A | .mp4 | 241009 | null | null | null | null | null |
3,072 | scannet | scene0697_01 | object_rel_distance | closet | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 closet, 2 window, 1 trash bin, 1 mirror, 3 pillow in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. window",
"B. trash bin",
"C. mirror",
"D. pillow"
] | trash bin | B | .mp4 | 241009 | null | null | null | null | null |
3,075 | scannet | scene0697_01 | object_rel_distance | closet | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 closet, 1 lamp, 2 bed, 1 tv, 2 window in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. lamp",
"B. bed",
"C. tv",
"D. window"
] | bed | B | .mp4 | 241009 | null | null | null | null | null |
3,089 | scannet | scene0700_02 | object_rel_distance | window | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 window, 1 keyboard, 2 backpack, 1 telephone, 4 chair in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. keyboard",
"B. backpack",
"C. telephone",
"D. chair"
] | chair | D | .mp4 | 241009 | null | null | null | null | null |
3,102 | scannet | scene0458_00 | object_rel_distance | mirror | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 mirror, 2 trash bin, 1 window, 1 towel, 1 door in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. trash bin",
"B. window",
"C. towel",
"D. door"
] | trash bin | A | .mp4 | 241009 | null | null | null | null | null |
3,133 | scannet | scene0608_00 | object_rel_distance | door | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 door, 1 tv, 1 window, 3 chair, 3 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. tv",
"B. window",
"C. chair",
"D. table"
] | chair | C | .mp4 | 241009 | null | null | null | null | null |
3,143 | scannet | scene0030_02 | object_rel_distance | door | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 door, 6 table, 1 clock, 17 chair, 1 trash bin in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. table",
"B. clock",
"C. chair",
"D. trash bin"
] | trash bin | D | .mp4 | 241009 | null | null | null | null | null |
3,150 | scannet | scene0046_01 | object_rel_distance | lamp | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 lamp, 1 chair, 2 door, 1 mirror, 2 backpack in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. chair",
"B. door",
"C. mirror",
"D. backpack"
] | backpack | D | .mp4 | 241009 | null | null | null | null | null |
3,179 | scannet | scene0207_02 | object_rel_distance | counter | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 counter, 1 microwave, 2 backpack, 1 nightstand, 1 closet in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. microwave",
"B. backpack",
"C. nightstand",
"D. closet"
] | backpack | B | .mp4 | 241009 | null | null | null | null | null |
3,180 | scannet | scene0207_02 | object_rel_distance | pillow | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 pillow, 2 door, 1 refrigerator, 1 chair, 2 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. door",
"B. refrigerator",
"C. chair",
"D. table"
] | table | D | .mp4 | 241009 | null | null | null | null | null |
3,182 | scannet | scene0221_01 | object_rel_distance | trash bin | [Task]
This video captures an indoor scene. Your objective is to identify specific objects within the video, understand the spatial arrangement of the scene, and estimate the center point of each object, assuming the entire scene is represented by a 10x10 grid.
[Rule]
1. We provide the cared categories: 1 trash bin, 2 bed, 2 door, 1 nightstand, 2 table in this scene. Focus ONLY on these categories.
2. Estimate the center location of each instance within the provided categories, assuming the entire scene is represented by a 10x10 grid.
3. If a category contains multiple instances, include all of them.
4. Each object's estimated location should accurately reflect its real position in the scene, preserving the relative spatial relationships among all objects.
[Output]
Present the estimated center locations for each object as a list within a dictionary.
STRICTLY follow this JSON format:
{"category name": [(x_1, y_1), ...], ...} | [
"A. bed",
"B. door",
"C. nightstand",
"D. table"
] | bed | A | .mp4 | 241009 | null | null | null | null | null |
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