image_id
stringlengths 6
6
| images
imagewidth (px) 577
1.02k
| problem
stringlengths 3.33k
3.39k
| question_only
stringlengths 38
60
| answer
stringlengths 214
410
| answer_only
stringclasses 4
values | answer_text
stringlengths 217
412
| answer_text_only
stringlengths 2
11
| answer_option_text
stringlengths 221
416
| answer_option_text_only
stringlengths 6
15
| category
stringclasses 5
values | level
stringclasses 3
values | question_with_options
stringlengths 68
123
| options
listlengths 2
4
| rating
int32 6
8
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
712988
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (699 x 1024)
Now answer the following question:
Q. Where is the curtain with respect to the bed?
Options:
(A) on top of
(B) in front of
(C) behind
(D) under
|
Where is the curtain with respect to the bed?
|
<scene>{"objects": [{"id": "bed.1", "bbox": [136, 628, 689, 898]}, {"id": "curtain.3", "bbox": [183, 315, 635, 740]}, {"id": "bed.9", "bbox": [271, 572, 560, 724]}], "relationships": [{"subject": "curtain.3", "predicate": "in front of", "object": "bed.9"}]}</scene>
<answer>B</answer>
|
B
|
<scene>{"objects": [{"id": "bed.1", "bbox": [136, 628, 689, 898]}, {"id": "curtain.3", "bbox": [183, 315, 635, 740]}, {"id": "bed.9", "bbox": [271, 572, 560, 724]}], "relationships": [{"subject": "curtain.3", "predicate": "in front of", "object": "bed.9"}]}</scene>
<answer>in front of</answer>
|
in front of
|
<scene>{"objects": [{"id": "bed.1", "bbox": [136, 628, 689, 898]}, {"id": "curtain.3", "bbox": [183, 315, 635, 740]}, {"id": "bed.9", "bbox": [271, 572, 560, 724]}], "relationships": [{"subject": "curtain.3", "predicate": "in front of", "object": "bed.9"}]}</scene>
<answer>(B) in front of</answer>
|
(B) in front of
|
relation
|
easy
|
Where is the curtain with respect to the bed?
Options:
(A) on top of
(B) in front of
(C) behind
(D) under
|
[
"on top of",
"in front of",
"behind",
"under"
] | 7
|
|
712948
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1024 x 678)
Now answer the following question:
Q. Where is the clock with respect to the tower?
Options:
(A) beside
(B) below
(C) on
(D) behind
|
Where is the clock with respect to the tower?
|
<scene>{"objects": [{"id": "clock.2", "bbox": [809, 160, 903, 262]}, {"id": "tower.12", "bbox": [757, 12, 1012, 627]}], "relationships": [{"subject": "tower.12", "predicate": "has", "object": "clock.2"}, {"subject": "clock.2", "predicate": "on", "object": "tower.12"}]}</scene>
<answer>C</answer>
|
C
|
<scene>{"objects": [{"id": "clock.2", "bbox": [809, 160, 903, 262]}, {"id": "tower.12", "bbox": [757, 12, 1012, 627]}], "relationships": [{"subject": "tower.12", "predicate": "has", "object": "clock.2"}, {"subject": "clock.2", "predicate": "on", "object": "tower.12"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "clock.2", "bbox": [809, 160, 903, 262]}, {"id": "tower.12", "bbox": [757, 12, 1012, 627]}], "relationships": [{"subject": "tower.12", "predicate": "has", "object": "clock.2"}, {"subject": "clock.2", "predicate": "on", "object": "tower.12"}]}</scene>
<answer>(C) on</answer>
|
(C) on
|
relation
|
easy
|
Where is the clock with respect to the tower?
Options:
(A) beside
(B) below
(C) on
(D) behind
|
[
"beside",
"below",
"on",
"behind"
] | 7
|
|
498403
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1024 x 768)
Now answer the following question:
Q. Where is the paper with respect to the motorcycle?
Options:
(A) on
(B) beside
(C) behind
(D) under
|
Where is the paper with respect to the motorcycle?
|
<scene>{"objects": [{"id": "paper.5", "bbox": [263, 476, 387, 588]}, {"id": "motorcycle.6", "bbox": [0, 365, 389, 764]}], "relationships": [{"subject": "paper.5", "predicate": "on", "object": "motorcycle.6"}]}</scene>
<answer>A</answer>
|
A
|
<scene>{"objects": [{"id": "paper.5", "bbox": [263, 476, 387, 588]}, {"id": "motorcycle.6", "bbox": [0, 365, 389, 764]}], "relationships": [{"subject": "paper.5", "predicate": "on", "object": "motorcycle.6"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "paper.5", "bbox": [263, 476, 387, 588]}, {"id": "motorcycle.6", "bbox": [0, 365, 389, 764]}], "relationships": [{"subject": "paper.5", "predicate": "on", "object": "motorcycle.6"}]}</scene>
<answer>(A) on</answer>
|
(A) on
|
relation
|
easy
|
Where is the paper with respect to the motorcycle?
Options:
(A) on
(B) beside
(C) behind
(D) under
|
[
"on",
"beside",
"behind",
"under"
] | 7
|
|
712978
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (612 x 612)
Now answer the following question:
Q. Where is the man with respect to the chair?
Options:
(A) standing behind
(B) leaning against
(C) sitting on
(D) lying under
|
Where is the man with respect to the chair?
|
<scene>{"objects": [{"id": "chair.1", "bbox": [344, 386, 610, 582]}, {"id": "man.3", "bbox": [286, 237, 414, 529]}], "relationships": [{"subject": "man.3", "predicate": "sitting on", "object": "chair.1"}]}</scene>
<answer>C</answer>
|
C
|
<scene>{"objects": [{"id": "chair.1", "bbox": [344, 386, 610, 582]}, {"id": "man.3", "bbox": [286, 237, 414, 529]}], "relationships": [{"subject": "man.3", "predicate": "sitting on", "object": "chair.1"}]}</scene>
<answer>sitting on</answer>
|
sitting on
|
<scene>{"objects": [{"id": "chair.1", "bbox": [344, 386, 610, 582]}, {"id": "man.3", "bbox": [286, 237, 414, 529]}], "relationships": [{"subject": "man.3", "predicate": "sitting on", "object": "chair.1"}]}</scene>
<answer>(C) sitting on</answer>
|
(C) sitting on
|
relation
|
easy
|
Where is the man with respect to the chair?
Options:
(A) standing behind
(B) leaning against
(C) sitting on
(D) lying under
|
[
"standing behind",
"leaning against",
"sitting on",
"lying under"
] | 6
|
|
498340
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1024 x 680)
Now answer the following question:
Q. Where is the tire with respect to the door?
Options:
(A) behind
(B) beside
(C) on
(D) under
|
Where is the tire with respect to the door?
|
<scene>{"objects": [{"id": "door.1", "bbox": [654, 242, 782, 426]}, {"id": "tire.3", "bbox": [668, 241, 777, 423]}], "relationships": [{"subject": "tire.3", "predicate": "on", "object": "door.1"}]}</scene>
<answer>C</answer>
|
C
|
<scene>{"objects": [{"id": "door.1", "bbox": [654, 242, 782, 426]}, {"id": "tire.3", "bbox": [668, 241, 777, 423]}], "relationships": [{"subject": "tire.3", "predicate": "on", "object": "door.1"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "door.1", "bbox": [654, 242, 782, 426]}, {"id": "tire.3", "bbox": [668, 241, 777, 423]}], "relationships": [{"subject": "tire.3", "predicate": "on", "object": "door.1"}]}</scene>
<answer>(C) on</answer>
|
(C) on
|
relation
|
easy
|
Where is the tire with respect to the door?
Options:
(A) behind
(B) beside
(C) on
(D) under
|
[
"behind",
"beside",
"on",
"under"
] | 6
|
|
713002
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (683 x 1024)
Now answer the following question:
Q. Where is the glove with respect to the hand?
Options:
(A) on
(B) behind
(C) beside
(D) under
|
Where is the glove with respect to the hand?
|
<scene>{"objects": [{"id": "glove.3", "bbox": [373, 356, 432, 403]}, {"id": "hand.4", "bbox": [263, 353, 441, 407]}, {"id": "hand.6", "bbox": [373, 357, 444, 507]}], "relationships": [{"subject": "glove.3", "predicate": "on", "object": "hand.4"}]}</scene>
<answer>A</answer>
|
A
|
<scene>{"objects": [{"id": "glove.3", "bbox": [373, 356, 432, 403]}, {"id": "hand.4", "bbox": [263, 353, 441, 407]}, {"id": "hand.6", "bbox": [373, 357, 444, 507]}], "relationships": [{"subject": "glove.3", "predicate": "on", "object": "hand.4"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "glove.3", "bbox": [373, 356, 432, 403]}, {"id": "hand.4", "bbox": [263, 353, 441, 407]}, {"id": "hand.6", "bbox": [373, 357, 444, 507]}], "relationships": [{"subject": "glove.3", "predicate": "on", "object": "hand.4"}]}</scene>
<answer>(A) on</answer>
|
(A) on
|
relation
|
easy
|
Where is the glove with respect to the hand?
Options:
(A) on
(B) behind
(C) beside
(D) under
|
[
"on",
"behind",
"beside",
"under"
] | 6
|
|
712972
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (683 x 1024)
Now answer the following question:
Q. Where is the glass with respect to the face?
Options:
(A) behind
(B) on
(C) beside
(D) under
|
Where is the glass with respect to the face?
|
<scene>{"objects": [{"id": "face.1", "bbox": [371, 316, 451, 415]}, {"id": "glass.5", "bbox": [365, 327, 453, 377]}], "relationships": [{"subject": "glass.5", "predicate": "on", "object": "face.1"}]}</scene>
<answer>B</answer>
|
B
|
<scene>{"objects": [{"id": "face.1", "bbox": [371, 316, 451, 415]}, {"id": "glass.5", "bbox": [365, 327, 453, 377]}], "relationships": [{"subject": "glass.5", "predicate": "on", "object": "face.1"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "face.1", "bbox": [371, 316, 451, 415]}, {"id": "glass.5", "bbox": [365, 327, 453, 377]}], "relationships": [{"subject": "glass.5", "predicate": "on", "object": "face.1"}]}</scene>
<answer>(B) on</answer>
|
(B) on
|
relation
|
easy
|
Where is the glass with respect to the face?
Options:
(A) behind
(B) on
(C) beside
(D) under
|
[
"behind",
"on",
"beside",
"under"
] | 6
|
|
498368
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1024 x 363)
Now answer the following question:
Q. Where is the glass with respect to the table?
Options:
(A) behind
(B) on
(C) beside
(D) under
|
Where is the glass with respect to the table?
|
<scene>{"objects": [{"id": "glass.4", "bbox": [397, 249, 464, 332]}, {"id": "table.5", "bbox": [317, 269, 756, 352]}], "relationships": [{"subject": "glass.4", "predicate": "on", "object": "table.5"}]}</scene>
<answer>B</answer>
|
B
|
<scene>{"objects": [{"id": "glass.4", "bbox": [397, 249, 464, 332]}, {"id": "table.5", "bbox": [317, 269, 756, 352]}], "relationships": [{"subject": "glass.4", "predicate": "on", "object": "table.5"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "glass.4", "bbox": [397, 249, 464, 332]}, {"id": "table.5", "bbox": [317, 269, 756, 352]}], "relationships": [{"subject": "glass.4", "predicate": "on", "object": "table.5"}]}</scene>
<answer>(B) on</answer>
|
(B) on
|
relation
|
easy
|
Where is the glass with respect to the table?
Options:
(A) behind
(B) on
(C) beside
(D) under
|
[
"behind",
"on",
"beside",
"under"
] | 6
|
|
498348
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (768 x 1024)
Now answer the following question:
Q. Where is the bird with respect to the car?
Options:
(A) beside
(B) behind
(C) under
(D) on
|
Where is the bird with respect to the car?
|
<scene>{"objects": [{"id": "bird.1", "bbox": [420, 347, 468, 391]}, {"id": "car.2", "bbox": [23, 375, 649, 978]}], "relationships": [{"subject": "bird.1", "predicate": "on", "object": "car.2"}]}</scene>
<answer>D</answer>
|
D
|
<scene>{"objects": [{"id": "bird.1", "bbox": [420, 347, 468, 391]}, {"id": "car.2", "bbox": [23, 375, 649, 978]}], "relationships": [{"subject": "bird.1", "predicate": "on", "object": "car.2"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "bird.1", "bbox": [420, 347, 468, 391]}, {"id": "car.2", "bbox": [23, 375, 649, 978]}], "relationships": [{"subject": "bird.1", "predicate": "on", "object": "car.2"}]}</scene>
<answer>(D) on</answer>
|
(D) on
|
relation
|
easy
|
Where is the bird with respect to the car?
Options:
(A) beside
(B) behind
(C) under
(D) on
|
[
"beside",
"behind",
"under",
"on"
] | 6
|
|
713008
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1024 x 683)
Now answer the following question:
Q. Where is the building with respect to the boat?
Options:
(A) beside
(B) below
(C) behind
(D) in front of
|
Where is the building with respect to the boat?
|
<scene>{"objects": [{"id": "boat.1", "bbox": [267, 0, 1018, 682]}, {"id": "boat.2", "bbox": [242, 140, 440, 262]}, {"id": "building.4", "bbox": [308, 142, 403, 190]}, {"id": "boat.9", "bbox": [250, 162, 458, 245]}], "relationships": [{"subject": "building.4", "predicate": "behind", "object": "boat.9"}]}</scene>
<answer>C</answer>
|
C
|
<scene>{"objects": [{"id": "boat.1", "bbox": [267, 0, 1018, 682]}, {"id": "boat.2", "bbox": [242, 140, 440, 262]}, {"id": "building.4", "bbox": [308, 142, 403, 190]}, {"id": "boat.9", "bbox": [250, 162, 458, 245]}], "relationships": [{"subject": "building.4", "predicate": "behind", "object": "boat.9"}]}</scene>
<answer>behind</answer>
|
behind
|
<scene>{"objects": [{"id": "boat.1", "bbox": [267, 0, 1018, 682]}, {"id": "boat.2", "bbox": [242, 140, 440, 262]}, {"id": "building.4", "bbox": [308, 142, 403, 190]}, {"id": "boat.9", "bbox": [250, 162, 458, 245]}], "relationships": [{"subject": "building.4", "predicate": "behind", "object": "boat.9"}]}</scene>
<answer>(C) behind</answer>
|
(C) behind
|
relation
|
easy
|
Where is the building with respect to the boat?
Options:
(A) beside
(B) below
(C) behind
(D) in front of
|
[
"beside",
"below",
"behind",
"in front of"
] | 6
|
|
712967
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1024 x 768)
Now answer the following question:
Q. Where is the window with respect to the train?
Options:
(A) on
(B) under
(C) beside
|
Where is the window with respect to the train?
|
<scene>{"objects": [{"id": "window.4", "bbox": [800, 470, 851, 505]}, {"id": "train.5", "bbox": [283, 399, 1021, 605]}], "relationships": [{"subject": "window.4", "predicate": "on", "object": "train.5"}]}</scene>
<answer>A</answer>
|
A
|
<scene>{"objects": [{"id": "window.4", "bbox": [800, 470, 851, 505]}, {"id": "train.5", "bbox": [283, 399, 1021, 605]}], "relationships": [{"subject": "window.4", "predicate": "on", "object": "train.5"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "window.4", "bbox": [800, 470, 851, 505]}, {"id": "train.5", "bbox": [283, 399, 1021, 605]}], "relationships": [{"subject": "window.4", "predicate": "on", "object": "train.5"}]}</scene>
<answer>(A) on</answer>
|
(A) on
|
relation
|
easy
|
Where is the window with respect to the train?
Options:
(A) on
(B) under
(C) beside
|
[
"on",
"under",
"beside"
] | 6
|
|
712986
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (769 x 1024)
Now answer the following question:
Q. Where is the clock with respect to the tower?
Options:
(A) beside
(B) below
(C) on
(D) behind
|
Where is the clock with respect to the tower?
|
<scene>{"objects": [{"id": "clock.5", "bbox": [387, 343, 449, 406]}, {"id": "tower.10", "bbox": [272, 0, 555, 937]}], "relationships": [{"subject": "clock.5", "predicate": "on", "object": "tower.10"}]}</scene>
<answer>C</answer>
|
C
|
<scene>{"objects": [{"id": "clock.5", "bbox": [387, 343, 449, 406]}, {"id": "tower.10", "bbox": [272, 0, 555, 937]}], "relationships": [{"subject": "clock.5", "predicate": "on", "object": "tower.10"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "clock.5", "bbox": [387, 343, 449, 406]}, {"id": "tower.10", "bbox": [272, 0, 555, 937]}], "relationships": [{"subject": "clock.5", "predicate": "on", "object": "tower.10"}]}</scene>
<answer>(C) on</answer>
|
(C) on
|
relation
|
easy
|
Where is the clock with respect to the tower?
Options:
(A) beside
(B) below
(C) on
(D) behind
|
[
"beside",
"below",
"on",
"behind"
] | 6
|
|
712989
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (768 x 1024)
Now answer the following question:
Q. Where is the pillow with respect to the bed?
Options:
(A) behind
(B) on
(C) beside
(D) under
|
Where is the pillow with respect to the bed?
|
<scene>{"objects": [{"id": "bed.1", "bbox": [0, 495, 502, 1020]}, {"id": "pillow.5", "bbox": [199, 393, 500, 596]}, {"id": "pillow.6", "bbox": [78, 484, 271, 586]}], "relationships": [{"subject": "pillow.6", "predicate": "on", "object": "bed.1"}]}</scene>
<answer>B</answer>
|
B
|
<scene>{"objects": [{"id": "bed.1", "bbox": [0, 495, 502, 1020]}, {"id": "pillow.5", "bbox": [199, 393, 500, 596]}, {"id": "pillow.6", "bbox": [78, 484, 271, 586]}], "relationships": [{"subject": "pillow.6", "predicate": "on", "object": "bed.1"}]}</scene>
<answer>on</answer>
|
on
|
<scene>{"objects": [{"id": "bed.1", "bbox": [0, 495, 502, 1020]}, {"id": "pillow.5", "bbox": [199, 393, 500, 596]}, {"id": "pillow.6", "bbox": [78, 484, 271, 586]}], "relationships": [{"subject": "pillow.6", "predicate": "on", "object": "bed.1"}]}</scene>
<answer>(B) on</answer>
|
(B) on
|
relation
|
easy
|
Where is the pillow with respect to the bed?
Options:
(A) behind
(B) on
(C) beside
(D) under
|
[
"behind",
"on",
"beside",
"under"
] | 6
|
|
712998
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1024 x 683)
Now answer the following question:
Q. What is the boy doing with the racket?
Options:
(A) leaning against
(B) standing near
(C) holding
(D) throwing
|
What is the boy doing with the racket?
|
<scene>{"objects": [{"id": "boy.1", "bbox": [207, 102, 686, 681]}, {"id": "racket.6", "bbox": [209, 338, 645, 458]}, {"id": "racket.7", "bbox": [825, 492, 1023, 645]}, {"id": "racket.10", "bbox": [218, 104, 683, 674]}], "relationships": [{"subject": "boy.1", "predicate": "holding", "object": "racket.10"}]}</scene>
<answer>C</answer>
|
C
|
<scene>{"objects": [{"id": "boy.1", "bbox": [207, 102, 686, 681]}, {"id": "racket.6", "bbox": [209, 338, 645, 458]}, {"id": "racket.7", "bbox": [825, 492, 1023, 645]}, {"id": "racket.10", "bbox": [218, 104, 683, 674]}], "relationships": [{"subject": "boy.1", "predicate": "holding", "object": "racket.10"}]}</scene>
<answer>holding</answer>
|
holding
|
<scene>{"objects": [{"id": "boy.1", "bbox": [207, 102, 686, 681]}, {"id": "racket.6", "bbox": [209, 338, 645, 458]}, {"id": "racket.7", "bbox": [825, 492, 1023, 645]}, {"id": "racket.10", "bbox": [218, 104, 683, 674]}], "relationships": [{"subject": "boy.1", "predicate": "holding", "object": "racket.10"}]}</scene>
<answer>(C) holding</answer>
|
(C) holding
|
reach
|
easy
|
What is the boy doing with the racket?
Options:
(A) leaning against
(B) standing near
(C) holding
(D) throwing
|
[
"leaning against",
"standing near",
"holding",
"throwing"
] | 7
|
|
498370
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1024 x 773)
Now answer the following question:
Q. Which is closer to the camera, the bus or the building?
Options:
(A) bus
(B) they are at the same distance
(C) building
|
Which is closer to the camera, the bus or the building?
|
<scene>{"objects": [{"id": "building.1", "bbox": [597, 79, 893, 391]}, {"id": "building.2", "bbox": [424, 31, 677, 392]}, {"id": "building.3", "bbox": [0, 0, 449, 422]}, {"id": "building.4", "bbox": [720, 11, 1009, 374]}, {"id": "bus.5", "bbox": [0, 252, 655, 468]}, {"id": "bus.6", "bbox": [339, 257, 654, 429]}, {"id": "bus.25", "bbox": [440, 321, 618, 456]}], "relationships": []}</scene>
<answer>A</answer>
|
A
|
<scene>{"objects": [{"id": "building.1", "bbox": [597, 79, 893, 391]}, {"id": "building.2", "bbox": [424, 31, 677, 392]}, {"id": "building.3", "bbox": [0, 0, 449, 422]}, {"id": "building.4", "bbox": [720, 11, 1009, 374]}, {"id": "bus.5", "bbox": [0, 252, 655, 468]}, {"id": "bus.6", "bbox": [339, 257, 654, 429]}, {"id": "bus.25", "bbox": [440, 321, 618, 456]}], "relationships": []}</scene>
<answer>bus</answer>
|
bus
|
<scene>{"objects": [{"id": "building.1", "bbox": [597, 79, 893, 391]}, {"id": "building.2", "bbox": [424, 31, 677, 392]}, {"id": "building.3", "bbox": [0, 0, 449, 422]}, {"id": "building.4", "bbox": [720, 11, 1009, 374]}, {"id": "bus.5", "bbox": [0, 252, 655, 468]}, {"id": "bus.6", "bbox": [339, 257, 654, 429]}, {"id": "bus.25", "bbox": [440, 321, 618, 456]}], "relationships": []}</scene>
<answer>(A) bus</answer>
|
(A) bus
|
depth
|
hard
|
Which is closer to the camera, the bus or the building?
Options:
(A) bus
(B) they are at the same distance
(C) building
|
[
"bus",
"they are at the same distance",
"building"
] | 8
|
|
712990
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (577 x 1024)
Now answer the following question:
Q. Which is closer to the camera, the tree or the building?
Options:
(A) building
(B) they are at the same distance
(C) tree
|
Which is closer to the camera, the tree or the building?
|
<scene>{"objects": [{"id": "building.1", "bbox": [43, 0, 574, 759]}, {"id": "tree.8", "bbox": [0, 224, 196, 704]}, {"id": "building.21", "bbox": [286, 0, 573, 761]}], "relationships": []}</scene>
<answer>C</answer>
|
C
|
<scene>{"objects": [{"id": "building.1", "bbox": [43, 0, 574, 759]}, {"id": "tree.8", "bbox": [0, 224, 196, 704]}, {"id": "building.21", "bbox": [286, 0, 573, 761]}], "relationships": []}</scene>
<answer>tree</answer>
|
tree
|
<scene>{"objects": [{"id": "building.1", "bbox": [43, 0, 574, 759]}, {"id": "tree.8", "bbox": [0, 224, 196, 704]}, {"id": "building.21", "bbox": [286, 0, 573, 761]}], "relationships": []}</scene>
<answer>(C) tree</answer>
|
(C) tree
|
depth
|
medium
|
Which is closer to the camera, the tree or the building?
Options:
(A) building
(B) they are at the same distance
(C) tree
|
[
"building",
"they are at the same distance",
"tree"
] | 7
|
|
712975
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1008 x 651)
Now answer the following question:
Q. Which object is closer to the boat, the flag or the sign?
Options:
(A) they are equidistant
(B) sign
(C) flag
|
Which object is closer to the boat, the flag or the sign?
|
<scene>{"objects": [{"id": "boat.1", "bbox": [84, 384, 980, 611]}, {"id": "flag.2", "bbox": [82, 319, 135, 426]}, {"id": "flag.3", "bbox": [38, 268, 134, 425]}, {"id": "sign.9", "bbox": [597, 477, 906, 499]}], "relationships": [{"subject": "flag.3", "predicate": "on", "object": "boat.1"}, {"subject": "sign.9", "predicate": "on", "object": "boat.1"}]}</scene>
<answer>C</answer>
|
C
|
<scene>{"objects": [{"id": "boat.1", "bbox": [84, 384, 980, 611]}, {"id": "flag.2", "bbox": [82, 319, 135, 426]}, {"id": "flag.3", "bbox": [38, 268, 134, 425]}, {"id": "sign.9", "bbox": [597, 477, 906, 499]}], "relationships": [{"subject": "flag.3", "predicate": "on", "object": "boat.1"}, {"subject": "sign.9", "predicate": "on", "object": "boat.1"}]}</scene>
<answer>flag</answer>
|
flag
|
<scene>{"objects": [{"id": "boat.1", "bbox": [84, 384, 980, 611]}, {"id": "flag.2", "bbox": [82, 319, 135, 426]}, {"id": "flag.3", "bbox": [38, 268, 134, 425]}, {"id": "sign.9", "bbox": [597, 477, 906, 499]}], "relationships": [{"subject": "flag.3", "predicate": "on", "object": "boat.1"}, {"subject": "sign.9", "predicate": "on", "object": "boat.1"}]}</scene>
<answer>(C) flag</answer>
|
(C) flag
|
distance
|
medium
|
Which object is closer to the boat, the flag or the sign?
Options:
(A) they are equidistant
(B) sign
(C) flag
|
[
"they are equidistant",
"sign",
"flag"
] | 7
|
|
498377
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (700 x 470)
Now answer the following question:
Q. Which object is closer to the engine, the door or the wheel?
Options:
(A) wheel
(B) door
(C) they are equidistant
|
Which object is closer to the engine, the door or the wheel?
|
<scene>{"objects": [{"id": "door.2", "bbox": [440, 232, 491, 322]}, {"id": "engine.3", "bbox": [140, 330, 293, 424]}, {"id": "engine.11", "bbox": [496, 358, 652, 425]}, {"id": "wheel.12", "bbox": [407, 391, 489, 447]}, {"id": "door.13", "bbox": [112, 231, 144, 302]}], "relationships": []}</scene>
<answer>B</answer>
|
B
|
<scene>{"objects": [{"id": "door.2", "bbox": [440, 232, 491, 322]}, {"id": "engine.3", "bbox": [140, 330, 293, 424]}, {"id": "engine.11", "bbox": [496, 358, 652, 425]}, {"id": "wheel.12", "bbox": [407, 391, 489, 447]}, {"id": "door.13", "bbox": [112, 231, 144, 302]}], "relationships": []}</scene>
<answer>door</answer>
|
door
|
<scene>{"objects": [{"id": "door.2", "bbox": [440, 232, 491, 322]}, {"id": "engine.3", "bbox": [140, 330, 293, 424]}, {"id": "engine.11", "bbox": [496, 358, 652, 425]}, {"id": "wheel.12", "bbox": [407, 391, 489, 447]}, {"id": "door.13", "bbox": [112, 231, 144, 302]}], "relationships": []}</scene>
<answer>(B) door</answer>
|
(B) door
|
distance
|
medium
|
Which object is closer to the engine, the door or the wheel?
Options:
(A) wheel
(B) door
(C) they are equidistant
|
[
"wheel",
"door",
"they are equidistant"
] | 7
|
|
498360
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (800 x 534)
Now answer the following question:
Q. Is there a skier wearing a helmet in the picture?
Options:
(A) No
(B) Yes
|
Is there a skier wearing a helmet in the picture?
|
<scene>{"objects": [{"id": "helmet.2", "bbox": [407, 207, 453, 257]}, {"id": "skier.7", "bbox": [393, 200, 684, 364]}], "relationships": [{"subject": "skier.7", "predicate": "wearing", "object": "helmet.2"}]}</scene>
<answer>B</answer>
|
B
|
<scene>{"objects": [{"id": "helmet.2", "bbox": [407, 207, 453, 257]}, {"id": "skier.7", "bbox": [393, 200, 684, 364]}], "relationships": [{"subject": "skier.7", "predicate": "wearing", "object": "helmet.2"}]}</scene>
<answer>Yes</answer>
|
Yes
|
<scene>{"objects": [{"id": "helmet.2", "bbox": [407, 207, 453, 257]}, {"id": "skier.7", "bbox": [393, 200, 684, 364]}], "relationships": [{"subject": "skier.7", "predicate": "wearing", "object": "helmet.2"}]}</scene>
<answer>(B) Yes</answer>
|
(B) Yes
|
existence
|
easy
|
Is there a skier wearing a helmet in the picture?
Options:
(A) No
(B) Yes
|
[
"No",
"Yes"
] | 6
|
|
498399
|
<image> You are a vision-language assistant tasked with answering a question by observing an image, identifying relevant objects and relationships, and reasoning through a structured scene graph.
Your task is to:
- Identify objects of interest relevant to answering the given question, and any relevant relationships between these objects, and localise these objects in the image.
- Generate a visualisation of the relevant objects and any relationships as a structured scene graph following the format shared below. This scene graph should serve as a structured, mind-mapped knowledge representation of the key elements required to answer the given question. Focus only on objects and relationships that are directly pertinent to reasoning about the question.
- Use your observations from the given image and the visualised structured scene graph, to deeply think through the question before generating the final answer.
- In the scene graph, assign each relevant object a unique ID in the format "object_name.number" (e.g. "boy.1", "plate.2"). Provide bounding boxes for relevant objects in pixel coordinates as [x1, y1, x2, y2]
- Format your output using the following structure:
<observe>
{Describe the scene depicted in the image covering the relevant relevant objects. Based on the question, what specific relevant objects of the image should you focus on?}
</observe>
<scene>
{
"objects": [
{"id": "object_name.1", "bbox": [x1, y1, x2, y2]},
...
],
"relationships": [
{"subject": "object_name.1", "predicate": "predicate_word", "object": "object_name.2"},
...
]
}
</scene>
<think>
{Reflect on the scene graph, observations, and reason through the question using the identified relevant objects and their relationships. Walk through your thought process step-by-step, as an internal monologue. Justify how the visual information leads to your final answer, and explain the reasoning path you followed to arrive at it.}
</think>
<answer>
{Your final answer}
</answer>
Example:
Q. Where is the man with respect to the bike?
Options: (A) behind (B) in front of (C) beside (D) on top of
<observe>
The image shows an outdoor scene with a man standing on a paved surface near a bicycle. The man appears to be upright and facing forward, while the bicycle is parked sideways in the foreground. The relevant objects for answering the question are the man and the bike. The man is located toward the upper-left portion of the image, while the bicycle occupies a larger area in the lower half of the image. The man's legs are partially occluded by the bicycle, suggesting that he is positioned behind it in depth from the viewer's perspective.
</observe>
<scene>
{
"objects": [
{"id": "bike.1", "bbox": [0, 272, 310, 551]},
{"id": "man.1", "bbox": [0, 165, 38, 278]}
],
"relationships": [
{"subject": "man.1", "predicate": "behind", "object": "bike.1"}
]
}
</scene>
<think>
Looking at the visual image and the scene graph, I can see the man is standing behind the bicycle. The relationship in the scene graph confirms this with "man.1 behind bike.1". Among the options: (A) behind, (B) in front of, (C) beside, (D) on top of - the correct answer is "behind".
</think>
<answer>
(A) behind
</answer>
Image size: (1024 x 683)
Now answer the following question:
Q. Is there a man wearing a hat in the picture?
Options:
(A) yes
(B) no
|
Is there a man wearing a hat in the picture?
|
<scene>{"objects": [{"id": "hat.2", "bbox": [490, 54, 640, 183]}, {"id": "man.3", "bbox": [753, 126, 1020, 600]}, {"id": "man.4", "bbox": [215, 55, 752, 681]}, {"id": "man.5", "bbox": [66, 120, 286, 433]}, {"id": "man.6", "bbox": [162, 109, 450, 480]}, {"id": "man.7", "bbox": [0, 148, 133, 305]}], "relationships": [{"subject": "man.4", "predicate": "wearing", "object": "hat.2"}]}</scene>
<answer>A</answer>
|
A
|
<scene>{"objects": [{"id": "hat.2", "bbox": [490, 54, 640, 183]}, {"id": "man.3", "bbox": [753, 126, 1020, 600]}, {"id": "man.4", "bbox": [215, 55, 752, 681]}, {"id": "man.5", "bbox": [66, 120, 286, 433]}, {"id": "man.6", "bbox": [162, 109, 450, 480]}, {"id": "man.7", "bbox": [0, 148, 133, 305]}], "relationships": [{"subject": "man.4", "predicate": "wearing", "object": "hat.2"}]}</scene>
<answer>yes</answer>
|
yes
|
<scene>{"objects": [{"id": "hat.2", "bbox": [490, 54, 640, 183]}, {"id": "man.3", "bbox": [753, 126, 1020, 600]}, {"id": "man.4", "bbox": [215, 55, 752, 681]}, {"id": "man.5", "bbox": [66, 120, 286, 433]}, {"id": "man.6", "bbox": [162, 109, 450, 480]}, {"id": "man.7", "bbox": [0, 148, 133, 305]}], "relationships": [{"subject": "man.4", "predicate": "wearing", "object": "hat.2"}]}</scene>
<answer>(A) yes</answer>
|
(A) yes
|
existence
|
easy
|
Is there a man wearing a hat in the picture?
Options:
(A) yes
(B) no
|
[
"yes",
"no"
] | 6
|
README.md exists but content is empty.
- Downloads last month
- 16