image_id stringlengths 6 6 | images imagewidth (px) 467 1.02k | problem stringlengths 3.34k 3.44k | question_only stringlengths 42 85 | answer stringlengths 164 590 | answer_only stringclasses 4 values | answer_text stringlengths 167 593 | answer_text_only stringlengths 2 20 | answer_option_text stringlengths 171 597 | answer_option_text_only stringlengths 6 24 | category stringclasses 4 values | level stringclasses 3 values | question_with_options stringlengths 72 179 | options listlengths 2 4 | rating int32 5 8 |
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498336 | <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 man with respect to the truck?
Options:
(A) under
(B) beside
(C) on
(D) behind | Where is the man with respect to the truck? | <scene>{"objects": [{"id": "truck.4", "bbox": [28, 95, 653, 786]}, {"id": "truck.5", "bbox": [22, 50, 739, 1012]}, {"id": "man.6", "bbox": [162, 98, 370, 486]}], "relationships": [{"subject": "man.6", "predicate": "on", "object": "truck.5"}]}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "truck.4", "bbox": [28, 95, 653, 786]}, {"id": "truck.5", "bbox": [22, 50, 739, 1012]}, {"id": "man.6", "bbox": [162, 98, 370, 486]}], "relationships": [{"subject": "man.6", "predicate": "on", "object": "truck.5"}]}</scene>
<answer>on</answer> | on | <scene>{"objects": [{"id": "truck.4", "bbox": [28, 95, 653, 786]}, {"id": "truck.5", "bbox": [22, 50, 739, 1012]}, {"id": "man.6", "bbox": [162, 98, 370, 486]}], "relationships": [{"subject": "man.6", "predicate": "on", "object": "truck.5"}]}</scene>
<answer>(C) on</answer> | (C) on | relation | hard | Where is the man with respect to the truck?
Options:
(A) under
(B) beside
(C) on
(D) behind | [
"under",
"beside",
"on",
"behind"
] | 8 | |
498335 | <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: (662 x 1000)
Now answer the following question:
Q. Where is the flower with respect to the pot?
Options:
(A) in
(B) on top of
(C) beside
(D) behind | Where is the flower with respect to the pot? | <scene>{"objects": [{"id": "flower.4", "bbox": [323, 850, 536, 977]}, {"id": "pot.6", "bbox": [313, 850, 364, 887]}, {"id": "pot.7", "bbox": [364, 920, 480, 981]}], "relationships": [{"subject": "flower.4", "predicate": "in", "object": "pot.7"}]}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "flower.4", "bbox": [323, 850, 536, 977]}, {"id": "pot.6", "bbox": [313, 850, 364, 887]}, {"id": "pot.7", "bbox": [364, 920, 480, 981]}], "relationships": [{"subject": "flower.4", "predicate": "in", "object": "pot.7"}]}</scene>
<answer>in</answer> | in | <scene>{"objects": [{"id": "flower.4", "bbox": [323, 850, 536, 977]}, {"id": "pot.6", "bbox": [313, 850, 364, 887]}, {"id": "pot.7", "bbox": [364, 920, 480, 981]}], "relationships": [{"subject": "flower.4", "predicate": "in", "object": "pot.7"}]}</scene>
<answer>(A) in</answer> | (A) in | relation | easy | Where is the flower with respect to the pot?
Options:
(A) in
(B) on top of
(C) beside
(D) behind | [
"in",
"on top of",
"beside",
"behind"
] | 7 | |
498334 | <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 sign with respect to the pole?
Options:
(A) behind
(B) below
(C) in front of
(D) attached to | Where is the sign with respect to the pole? | <scene>{"objects": [{"id": "pole.9", "bbox": [594, 208, 614, 382]}, {"id": "sign.12", "bbox": [519, 192, 669, 388]}], "relationships": [{"subject": "sign.12", "predicate": "with", "object": "pole.9"}]}</scene>
<answer>D</answer> | D | <scene>{"objects": [{"id": "pole.9", "bbox": [594, 208, 614, 382]}, {"id": "sign.12", "bbox": [519, 192, 669, 388]}], "relationships": [{"subject": "sign.12", "predicate": "with", "object": "pole.9"}]}</scene>
<answer>attached to</answer> | attached to | <scene>{"objects": [{"id": "pole.9", "bbox": [594, 208, 614, 382]}, {"id": "sign.12", "bbox": [519, 192, 669, 388]}], "relationships": [{"subject": "sign.12", "predicate": "with", "object": "pole.9"}]}</scene>
<answer>(D) attached to</answer> | (D) attached to | relation | medium | Where is the sign with respect to the pole?
Options:
(A) behind
(B) below
(C) in front of
(D) attached to | [
"behind",
"below",
"in front of",
"attached to"
] | 7 | |
498378 | <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 681)
Now answer the following question:
Q. Where is the person with respect to the skateboard?
Options:
(A) lying on
(B) standing beside
(C) standing on
(D) sitting on | Where is the person with respect to the skateboard? | <scene>{"objects": [{"id": "person.4", "bbox": [69, 170, 592, 679]}, {"id": "skateboard.5", "bbox": [69, 461, 316, 617]}], "relationships": [{"subject": "person.4", "predicate": "standing on", "object": "skateboard.5"}]}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "person.4", "bbox": [69, 170, 592, 679]}, {"id": "skateboard.5", "bbox": [69, 461, 316, 617]}], "relationships": [{"subject": "person.4", "predicate": "standing on", "object": "skateboard.5"}]}</scene>
<answer>standing on</answer> | standing on | <scene>{"objects": [{"id": "person.4", "bbox": [69, 170, 592, 679]}, {"id": "skateboard.5", "bbox": [69, 461, 316, 617]}], "relationships": [{"subject": "person.4", "predicate": "standing on", "object": "skateboard.5"}]}</scene>
<answer>(C) standing on</answer> | (C) standing on | relation | easy | Where is the person with respect to the skateboard?
Options:
(A) lying on
(B) standing beside
(C) standing on
(D) sitting on | [
"lying on",
"standing beside",
"standing on",
"sitting on"
] | 7 | |
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) beside
(B) under
(C) on
(D) behind | 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>C</answer> | C | <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>(C) on</answer> | (C) on | relation | easy | Where is the glass with respect to the table?
Options:
(A) beside
(B) under
(C) on
(D) behind | [
"beside",
"under",
"on",
"behind"
] | 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) beside
(B) behind
(C) under
(D) on | 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>D</answer> | D | <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>(D) on</answer> | (D) on | relation | easy | Where is the tire with respect to the door?
Options:
(A) beside
(B) behind
(C) under
(D) on | [
"beside",
"behind",
"under",
"on"
] | 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) behind
(B) beside
(C) on
(D) under | 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>C</answer> | C | <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>(C) on</answer> | (C) on | relation | easy | Where is the bird with respect to the car?
Options:
(A) behind
(B) beside
(C) on
(D) under | [
"behind",
"beside",
"on",
"under"
] | 6 | |
498337 | <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: (467 x 276)
Now answer the following question:
Q. Where is the horse with respect to the building?
Options:
(A) behind
(B) near
(C) on top of
(D) far from | Where is the horse with respect to the building? | <scene>{"objects": [{"id": "building.1", "bbox": [226, 100, 368, 192]}, {"id": "horse.3", "bbox": [330, 170, 395, 243]}], "relationships": [{"subject": "horse.3", "predicate": "near", "object": "building.1"}, {"subject": "building.1", "predicate": "near", "object": "horse.3"}]}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "building.1", "bbox": [226, 100, 368, 192]}, {"id": "horse.3", "bbox": [330, 170, 395, 243]}], "relationships": [{"subject": "horse.3", "predicate": "near", "object": "building.1"}, {"subject": "building.1", "predicate": "near", "object": "horse.3"}]}</scene>
<answer>near</answer> | near | <scene>{"objects": [{"id": "building.1", "bbox": [226, 100, 368, 192]}, {"id": "horse.3", "bbox": [330, 170, 395, 243]}], "relationships": [{"subject": "horse.3", "predicate": "near", "object": "building.1"}, {"subject": "building.1", "predicate": "near", "object": "horse.3"}]}</scene>
<answer>(B) near</answer> | (B) near | relation | easy | Where is the horse with respect to the building?
Options:
(A) behind
(B) near
(C) on top of
(D) far from | [
"behind",
"near",
"on top of",
"far from"
] | 6 | |
498374 | <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. Which object is closer to the camera, the flag or the pole?
Options:
(A) pole
(B) they are at the same distance
(C) flag | Which object is closer to the camera, the flag or the pole? | <scene>{"objects": [{"id": "flag.2", "bbox": [512, 328, 561, 424]}, {"id": "pole.6", "bbox": [589, 211, 618, 375]}], "relationships": []}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "flag.2", "bbox": [512, 328, 561, 424]}, {"id": "pole.6", "bbox": [589, 211, 618, 375]}], "relationships": []}</scene>
<answer>flag</answer> | flag | <scene>{"objects": [{"id": "flag.2", "bbox": [512, 328, 561, 424]}, {"id": "pole.6", "bbox": [589, 211, 618, 375]}], "relationships": []}</scene>
<answer>(C) flag</answer> | (C) flag | depth | medium | Which object is closer to the camera, the flag or the pole?
Options:
(A) pole
(B) they are at the same distance
(C) flag | [
"pole",
"they are at the same distance",
"flag"
] | 7 | |
498364 | <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: (1021 x 1024)
Now answer the following question:
Q. Which vehicle is closer to the camera, the car or the truck?
Options:
(A) they are at the same distance
(B) car
(C) truck | Which vehicle is closer to the camera, the car or the truck? | <scene>{"objects": [{"id": "truck.5", "bbox": [729, 485, 867, 632]}, {"id": "car.6", "bbox": [793, 511, 1015, 687]}], "relationships": [{"subject": "car.6", "predicate": "behind", "object": "truck.5"}]}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "truck.5", "bbox": [729, 485, 867, 632]}, {"id": "car.6", "bbox": [793, 511, 1015, 687]}], "relationships": [{"subject": "car.6", "predicate": "behind", "object": "truck.5"}]}</scene>
<answer>truck</answer> | truck | <scene>{"objects": [{"id": "truck.5", "bbox": [729, 485, 867, 632]}, {"id": "car.6", "bbox": [793, 511, 1015, 687]}], "relationships": [{"subject": "car.6", "predicate": "behind", "object": "truck.5"}]}</scene>
<answer>(C) truck</answer> | (C) truck | depth | medium | Which vehicle is closer to the camera, the car or the truck?
Options:
(A) they are at the same distance
(B) car
(C) truck | [
"they are at the same distance",
"car",
"truck"
] | 7 | |
498359 | <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: (799 x 676)
Now answer the following question:
Q. Which is closer to the camera, the clock or the light?
Options:
(A) they are at the same distance
(B) clock
(C) light | Which is closer to the camera, the clock or the light? | <scene>{"objects": [{"id": "light.9", "bbox": [302, 541, 344, 610]}, {"id": "light.10", "bbox": [165, 513, 241, 605]}, {"id": "light.11", "bbox": [195, 512, 241, 597]}, {"id": "light.12", "bbox": [46, 512, 81, 577]}, {"id": "clock.17", "bbox": [516, 297, 562, 339]}, {"id": "light.19", "bbox": [39, 515, 88, 596]}, {"id": "light.20", "bbox": [188, 529, 251, 603]}], "relationships": []}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "light.9", "bbox": [302, 541, 344, 610]}, {"id": "light.10", "bbox": [165, 513, 241, 605]}, {"id": "light.11", "bbox": [195, 512, 241, 597]}, {"id": "light.12", "bbox": [46, 512, 81, 577]}, {"id": "clock.17", "bbox": [516, 297, 562, 339]}, {"id": "light.19", "bbox": [39, 515, 88, 596]}, {"id": "light.20", "bbox": [188, 529, 251, 603]}], "relationships": []}</scene>
<answer>light</answer> | light | <scene>{"objects": [{"id": "light.9", "bbox": [302, 541, 344, 610]}, {"id": "light.10", "bbox": [165, 513, 241, 605]}, {"id": "light.11", "bbox": [195, 512, 241, 597]}, {"id": "light.12", "bbox": [46, 512, 81, 577]}, {"id": "clock.17", "bbox": [516, 297, 562, 339]}, {"id": "light.19", "bbox": [39, 515, 88, 596]}, {"id": "light.20", "bbox": [188, 529, 251, 603]}], "relationships": []}</scene>
<answer>(C) light</answer> | (C) light | depth | medium | Which is closer to the camera, the clock or the light?
Options:
(A) they are at the same distance
(B) clock
(C) light | [
"they are at the same distance",
"clock",
"light"
] | 7 | |
498391 | <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 600)
Now answer the following question:
Q. Which is closer to the camera, the dog or the box?
Options:
(A) they are at the same distance
(B) dog
(C) box | Which is closer to the camera, the dog or the box? | <scene>{"objects": [{"id": "box.3", "bbox": [616, 154, 686, 216]}, {"id": "box.4", "bbox": [700, 450, 755, 494]}, {"id": "dog.6", "bbox": [511, 35, 641, 184]}], "relationships": []}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "box.3", "bbox": [616, 154, 686, 216]}, {"id": "box.4", "bbox": [700, 450, 755, 494]}, {"id": "dog.6", "bbox": [511, 35, 641, 184]}], "relationships": []}</scene>
<answer>dog</answer> | dog | <scene>{"objects": [{"id": "box.3", "bbox": [616, 154, 686, 216]}, {"id": "box.4", "bbox": [700, 450, 755, 494]}, {"id": "dog.6", "bbox": [511, 35, 641, 184]}], "relationships": []}</scene>
<answer>(B) dog</answer> | (B) dog | depth | medium | Which is closer to the camera, the dog or the box?
Options:
(A) they are at the same distance
(B) dog
(C) box | [
"they are at the same distance",
"dog",
"box"
] | 7 | |
498390 | <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 769)
Now answer the following question:
Q. Which is closer to the camera, the man on the left or the man on the right?
Options:
(A) they are at the same distance
(B) man on the right
(C) man on the left | Which is closer to the camera, the man on the left or the man on the right? | <scene>{"objects": [{"id": "man.4", "bbox": [499, 262, 998, 767]}, {"id": "man.5", "bbox": [0, 324, 247, 768]}, {"id": "man.10", "bbox": [601, 243, 947, 708]}], "relationships": []}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "man.4", "bbox": [499, 262, 998, 767]}, {"id": "man.5", "bbox": [0, 324, 247, 768]}, {"id": "man.10", "bbox": [601, 243, 947, 708]}], "relationships": []}</scene>
<answer>man on the right</answer> | man on the right | <scene>{"objects": [{"id": "man.4", "bbox": [499, 262, 998, 767]}, {"id": "man.5", "bbox": [0, 324, 247, 768]}, {"id": "man.10", "bbox": [601, 243, 947, 708]}], "relationships": []}</scene>
<answer>(B) man on the right</answer> | (B) man on the right | depth | medium | Which is closer to the camera, the man on the left or the man on the right?
Options:
(A) they are at the same distance
(B) man on the right
(C) man on the left | [
"they are at the same distance",
"man on the right",
"man on the left"
] | 7 | |
498376 | <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 543)
Now answer the following question:
Q. Which object is closer to the camera, the bird or the boat?
Options:
(A) boat
(B) bird
(C) they are at the same distance | Which object is closer to the camera, the bird or the boat? | <scene>{"objects": [{"id": "boat.2", "bbox": [10, 2, 846, 499]}, {"id": "bird.5", "bbox": [818, 22, 886, 74]}], "relationships": [{"subject": "bird.5", "predicate": "above", "object": "boat.2"}]}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "boat.2", "bbox": [10, 2, 846, 499]}, {"id": "bird.5", "bbox": [818, 22, 886, 74]}], "relationships": [{"subject": "bird.5", "predicate": "above", "object": "boat.2"}]}</scene>
<answer>bird</answer> | bird | <scene>{"objects": [{"id": "boat.2", "bbox": [10, 2, 846, 499]}, {"id": "bird.5", "bbox": [818, 22, 886, 74]}], "relationships": [{"subject": "bird.5", "predicate": "above", "object": "boat.2"}]}</scene>
<answer>(B) bird</answer> | (B) bird | depth | medium | Which object is closer to the camera, the bird or the boat?
Options:
(A) boat
(B) bird
(C) they are at the same distance | [
"boat",
"bird",
"they are at the same distance"
] | 7 | |
498382 | <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 684)
Now answer the following question:
Q. Which object is closer to the camera, the laptop or the phone?
Options:
(A) they are at the same distance
(B) phone
(C) laptop | Which object is closer to the camera, the laptop or the phone? | <scene>{"objects": [{"id": "phone.4", "bbox": [749, 496, 1020, 681]}, {"id": "laptop.5", "bbox": [178, 372, 444, 527]}, {"id": "phone.7", "bbox": [639, 615, 749, 642]}], "relationships": []}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "phone.4", "bbox": [749, 496, 1020, 681]}, {"id": "laptop.5", "bbox": [178, 372, 444, 527]}, {"id": "phone.7", "bbox": [639, 615, 749, 642]}], "relationships": []}</scene>
<answer>laptop</answer> | laptop | <scene>{"objects": [{"id": "phone.4", "bbox": [749, 496, 1020, 681]}, {"id": "laptop.5", "bbox": [178, 372, 444, 527]}, {"id": "phone.7", "bbox": [639, 615, 749, 642]}], "relationships": []}</scene>
<answer>(C) laptop</answer> | (C) laptop | depth | medium | Which object is closer to the camera, the laptop or the phone?
Options:
(A) they are at the same distance
(B) phone
(C) laptop | [
"they are at the same distance",
"phone",
"laptop"
] | 7 | |
498352 | <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 770)
Now answer the following question:
Q. Which is closer to the camera, the building on the left or the building on the right?
Options:
(A) building on the left
(B) they are at the same distance
(C) building on the right | Which is closer to the camera, the building on the left or the building on the right? | <scene>{"objects": [{"id": "building.1", "bbox": [895, 132, 1021, 254]}, {"id": "building.2", "bbox": [0, 0, 206, 227]}], "relationships": []}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "building.1", "bbox": [895, 132, 1021, 254]}, {"id": "building.2", "bbox": [0, 0, 206, 227]}], "relationships": []}</scene>
<answer>building on the left</answer> | building on the left | <scene>{"objects": [{"id": "building.1", "bbox": [895, 132, 1021, 254]}, {"id": "building.2", "bbox": [0, 0, 206, 227]}], "relationships": []}</scene>
<answer>(A) building on the left</answer> | (A) building on the left | depth | medium | Which is closer to the camera, the building on the left or the building on the right?
Options:
(A) building on the left
(B) they are at the same distance
(C) building on the right | [
"building on the left",
"they are at the same distance",
"building on the right"
] | 7 | |
498350 | <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: (765 x 1024)
Now answer the following question:
Q. Which child is closer to the camera, the child on the left or the child on the right?
Options:
(A) child on the left
(B) they are equidistant
(C) child on the right | Which child is closer to the camera, the child on the left or the child on the right? | <scene>{"objects": [{"id": "child.1", "bbox": [652, 603, 761, 1020]}, {"id": "child.2", "bbox": [264, 490, 473, 1019]}, {"id": "child.3", "bbox": [45, 480, 267, 949]}], "relationships": []}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "child.1", "bbox": [652, 603, 761, 1020]}, {"id": "child.2", "bbox": [264, 490, 473, 1019]}, {"id": "child.3", "bbox": [45, 480, 267, 949]}], "relationships": []}</scene>
<answer>child on the right</answer> | child on the right | <scene>{"objects": [{"id": "child.1", "bbox": [652, 603, 761, 1020]}, {"id": "child.2", "bbox": [264, 490, 473, 1019]}, {"id": "child.3", "bbox": [45, 480, 267, 949]}], "relationships": []}</scene>
<answer>(C) child on the right</answer> | (C) child on the right | depth | medium | Which child is closer to the camera, the child on the left or the child on the right?
Options:
(A) child on the left
(B) they are equidistant
(C) child on the right | [
"child on the left",
"they are equidistant",
"child on the right"
] | 7 | |
498389 | <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. Which is closer to the camera, the surfboard or the woman?
Options:
(A) they are at the same distance
(B) surfboard
(C) woman | Which is closer to the camera, the surfboard or the woman? | <scene>{"objects": [{"id": "surfboard.6", "bbox": [172, 455, 444, 483]}, {"id": "woman.7", "bbox": [544, 253, 631, 437]}], "relationships": []}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "surfboard.6", "bbox": [172, 455, 444, 483]}, {"id": "woman.7", "bbox": [544, 253, 631, 437]}], "relationships": []}</scene>
<answer>surfboard</answer> | surfboard | <scene>{"objects": [{"id": "surfboard.6", "bbox": [172, 455, 444, 483]}, {"id": "woman.7", "bbox": [544, 253, 631, 437]}], "relationships": []}</scene>
<answer>(B) surfboard</answer> | (B) surfboard | depth | medium | Which is closer to the camera, the surfboard or the woman?
Options:
(A) they are at the same distance
(B) surfboard
(C) woman | [
"they are at the same distance",
"surfboard",
"woman"
] | 7 | |
498365 | <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: (1000 x 750)
Now answer the following question:
Q. Which is closer to the camera, the tree or the bike?
Options:
(A) bike
(B) they are at the same distance
(C) tree | Which is closer to the camera, the tree or the bike? | <scene>{"objects": [{"id": "bike.1", "bbox": [364, 380, 522, 528]}, {"id": "bike.2", "bbox": [715, 479, 998, 745]}, {"id": "tree.15", "bbox": [672, 295, 758, 463]}, {"id": "tree.16", "bbox": [456, 115, 641, 262]}, {"id": "tree.17", "bbox": [486, 267, 581, 355]}], "relationships": []}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "bike.1", "bbox": [364, 380, 522, 528]}, {"id": "bike.2", "bbox": [715, 479, 998, 745]}, {"id": "tree.15", "bbox": [672, 295, 758, 463]}, {"id": "tree.16", "bbox": [456, 115, 641, 262]}, {"id": "tree.17", "bbox": [486, 267, 581, 355]}], "relationships": []}</scene>
<answer>bike</answer> | bike | <scene>{"objects": [{"id": "bike.1", "bbox": [364, 380, 522, 528]}, {"id": "bike.2", "bbox": [715, 479, 998, 745]}, {"id": "tree.15", "bbox": [672, 295, 758, 463]}, {"id": "tree.16", "bbox": [456, 115, 641, 262]}, {"id": "tree.17", "bbox": [486, 267, 581, 355]}], "relationships": []}</scene>
<answer>(A) bike</answer> | (A) bike | depth | medium | Which is closer to the camera, the tree or the bike?
Options:
(A) bike
(B) they are at the same distance
(C) tree | [
"bike",
"they are at the same distance",
"tree"
] | 7 | |
498349 | <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. Which is closer to the camera, the mountain or the hill?
Options:
(A) hill
(B) they are at the same distance
(C) mountain | Which is closer to the camera, the mountain or the hill? | <scene>{"objects": [{"id": "hill.2", "bbox": [0, 155, 355, 527]}, {"id": "mountain.6", "bbox": [207, 305, 762, 558]}], "relationships": []}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "hill.2", "bbox": [0, 155, 355, 527]}, {"id": "mountain.6", "bbox": [207, 305, 762, 558]}], "relationships": []}</scene>
<answer>hill</answer> | hill | <scene>{"objects": [{"id": "hill.2", "bbox": [0, 155, 355, 527]}, {"id": "mountain.6", "bbox": [207, 305, 762, 558]}], "relationships": []}</scene>
<answer>(A) hill</answer> | (A) hill | depth | medium | Which is closer to the camera, the mountain or the hill?
Options:
(A) hill
(B) they are at the same distance
(C) mountain | [
"hill",
"they are at the same distance",
"mountain"
] | 7 | |
498353 | <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. Which is closer to the camera, the curtain or the train?
Options:
(A) they are at the same distance
(B) train
(C) curtain | Which is closer to the camera, the curtain or the train? | <scene>{"objects": [{"id": "curtain.1", "bbox": [264, 290, 366, 465]}, {"id": "train.2", "bbox": [289, 0, 1022, 608]}], "relationships": []}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "curtain.1", "bbox": [264, 290, 366, 465]}, {"id": "train.2", "bbox": [289, 0, 1022, 608]}], "relationships": []}</scene>
<answer>curtain</answer> | curtain | <scene>{"objects": [{"id": "curtain.1", "bbox": [264, 290, 366, 465]}, {"id": "train.2", "bbox": [289, 0, 1022, 608]}], "relationships": []}</scene>
<answer>(C) curtain</answer> | (C) curtain | depth | medium | Which is closer to the camera, the curtain or the train?
Options:
(A) they are at the same distance
(B) train
(C) curtain | [
"they are at the same distance",
"train",
"curtain"
] | 7 | |
498371 | <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. Which vehicle is closer to the camera, vehicle 2 or vehicle 3?
Options:
(A) vehicle 3
(B) they are at the same distance
(C) vehicle 2 | Which vehicle is closer to the camera, vehicle 2 or vehicle 3? | <scene>{"objects": [{"id": "vehicle.2", "bbox": [297, 0, 602, 123]}, {"id": "vehicle.3", "bbox": [547, 0, 1007, 178]}, {"id": "vehicle.4", "bbox": [48, 37, 977, 683]}], "relationships": []}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "vehicle.2", "bbox": [297, 0, 602, 123]}, {"id": "vehicle.3", "bbox": [547, 0, 1007, 178]}, {"id": "vehicle.4", "bbox": [48, 37, 977, 683]}], "relationships": []}</scene>
<answer>vehicle 3</answer> | vehicle 3 | <scene>{"objects": [{"id": "vehicle.2", "bbox": [297, 0, 602, 123]}, {"id": "vehicle.3", "bbox": [547, 0, 1007, 178]}, {"id": "vehicle.4", "bbox": [48, 37, 977, 683]}], "relationships": []}</scene>
<answer>(A) vehicle 3</answer> | (A) vehicle 3 | depth | medium | Which vehicle is closer to the camera, vehicle 2 or vehicle 3?
Options:
(A) vehicle 3
(B) they are at the same distance
(C) vehicle 2 | [
"vehicle 3",
"they are at the same distance",
"vehicle 2"
] | 7 | |
498345 | <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 685)
Now answer the following question:
Q. Which is closer to the camera, the basket or the bottle?
Options:
(A) they are at the same distance
(B) basket
(C) bottle | Which is closer to the camera, the basket or the bottle? | <scene>{"objects": [{"id": "basket.1", "bbox": [598, 483, 697, 546]}, {"id": "bottle.2", "bbox": [943, 322, 968, 439]}, {"id": "basket.24", "bbox": [580, 474, 681, 578]}], "relationships": []}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "basket.1", "bbox": [598, 483, 697, 546]}, {"id": "bottle.2", "bbox": [943, 322, 968, 439]}, {"id": "basket.24", "bbox": [580, 474, 681, 578]}], "relationships": []}</scene>
<answer>basket</answer> | basket | <scene>{"objects": [{"id": "basket.1", "bbox": [598, 483, 697, 546]}, {"id": "bottle.2", "bbox": [943, 322, 968, 439]}, {"id": "basket.24", "bbox": [580, 474, 681, 578]}], "relationships": []}</scene>
<answer>(B) basket</answer> | (B) basket | depth | medium | Which is closer to the camera, the basket or the bottle?
Options:
(A) they are at the same distance
(B) basket
(C) bottle | [
"they are at the same distance",
"basket",
"bottle"
] | 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) they are at the same distance
(B) building
(C) bus | 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>C</answer> | C | <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>(C) bus</answer> | (C) bus | depth | medium | Which is closer to the camera, the bus or the building?
Options:
(A) they are at the same distance
(B) building
(C) bus | [
"they are at the same distance",
"building",
"bus"
] | 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 is closer to the camera, the engine or the wheel?
Options:
(A) they are at the same distance
(B) wheel
(C) engine | Which is closer to the camera, the engine or the wheel? | <scene>{"objects": [{"id": "engine.3", "bbox": [140, 330, 293, 424]}, {"id": "engine.11", "bbox": [496, 358, 652, 425]}, {"id": "wheel.12", "bbox": [407, 391, 489, 447]}], "relationships": []}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "engine.3", "bbox": [140, 330, 293, 424]}, {"id": "engine.11", "bbox": [496, 358, 652, 425]}, {"id": "wheel.12", "bbox": [407, 391, 489, 447]}], "relationships": []}</scene>
<answer>engine</answer> | engine | <scene>{"objects": [{"id": "engine.3", "bbox": [140, 330, 293, 424]}, {"id": "engine.11", "bbox": [496, 358, 652, 425]}, {"id": "wheel.12", "bbox": [407, 391, 489, 447]}], "relationships": []}</scene>
<answer>(C) engine</answer> | (C) engine | depth | medium | Which is closer to the camera, the engine or the wheel?
Options:
(A) they are at the same distance
(B) wheel
(C) engine | [
"they are at the same distance",
"wheel",
"engine"
] | 7 | |
498361 | <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. Which is closer to the camera, the door or the window?
Options:
(A) they are at the same distance
(B) door
(C) window | Which is closer to the camera, the door or the window? | <scene>{"objects": [{"id": "door.1", "bbox": [316, 272, 392, 469]}, {"id": "door.2", "bbox": [779, 287, 822, 485]}, {"id": "window.4", "bbox": [530, 243, 720, 391]}, {"id": "window.8", "bbox": [479, 286, 559, 373]}, {"id": "window.9", "bbox": [57, 257, 224, 393]}, {"id": "window.10", "bbox": [996, 315, 1021, 401]}, {"id": "window.11", "bbox": [783, 296, 811, 415]}, {"id": "window.12", "bbox": [336, 290, 371, 344]}, {"id": "window.15", "bbox": [512, 233, 725, 469]}], "relationships": []}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "door.1", "bbox": [316, 272, 392, 469]}, {"id": "door.2", "bbox": [779, 287, 822, 485]}, {"id": "window.4", "bbox": [530, 243, 720, 391]}, {"id": "window.8", "bbox": [479, 286, 559, 373]}, {"id": "window.9", "bbox": [57, 257, 224, 393]}, {"id": "window.10", "bbox": [996, 315, 1021, 401]}, {"id": "window.11", "bbox": [783, 296, 811, 415]}, {"id": "window.12", "bbox": [336, 290, 371, 344]}, {"id": "window.15", "bbox": [512, 233, 725, 469]}], "relationships": []}</scene>
<answer>door</answer> | door | <scene>{"objects": [{"id": "door.1", "bbox": [316, 272, 392, 469]}, {"id": "door.2", "bbox": [779, 287, 822, 485]}, {"id": "window.4", "bbox": [530, 243, 720, 391]}, {"id": "window.8", "bbox": [479, 286, 559, 373]}, {"id": "window.9", "bbox": [57, 257, 224, 393]}, {"id": "window.10", "bbox": [996, 315, 1021, 401]}, {"id": "window.11", "bbox": [783, 296, 811, 415]}, {"id": "window.12", "bbox": [336, 290, 371, 344]}, {"id": "window.15", "bbox": [512, 233, 725, 469]}], "relationships": []}</scene>
<answer>(B) door</answer> | (B) door | depth | medium | Which is closer to the camera, the door or the window?
Options:
(A) they are at the same distance
(B) door
(C) window | [
"they are at the same distance",
"door",
"window"
] | 7 | |
498339 | <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. Which object is closer to the camera, the glass or the table?
Options:
(A) they are at the same distance
(B) glass
(C) table | Which object is closer to the camera, the glass or the table? | <scene>{"objects": [{"id": "glass.7", "bbox": [668, 481, 695, 551]}, {"id": "table.18", "bbox": [169, 485, 993, 767]}], "relationships": [{"subject": "glass.7", "predicate": "above", "object": "table.18"}]}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "glass.7", "bbox": [668, 481, 695, 551]}, {"id": "table.18", "bbox": [169, 485, 993, 767]}], "relationships": [{"subject": "glass.7", "predicate": "above", "object": "table.18"}]}</scene>
<answer>glass</answer> | glass | <scene>{"objects": [{"id": "glass.7", "bbox": [668, 481, 695, 551]}, {"id": "table.18", "bbox": [169, 485, 993, 767]}], "relationships": [{"subject": "glass.7", "predicate": "above", "object": "table.18"}]}</scene>
<answer>(B) glass</answer> | (B) glass | depth | medium | Which object is closer to the camera, the glass or the table?
Options:
(A) they are at the same distance
(B) glass
(C) table | [
"they are at the same distance",
"glass",
"table"
] | 7 | |
498392 | <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. Which object is closer to the man on the right, the phone or the building?
Options:
(A) building
(B) they are equidistant
(C) phone | Which object is closer to the man on the right, the phone or the building? | <scene>{"objects": [{"id": "building.1", "bbox": [652, 171, 764, 267]}, {"id": "man.10", "bbox": [424, 102, 703, 1018]}, {"id": "man.11", "bbox": [51, 46, 504, 1020]}, {"id": "phone.18", "bbox": [531, 204, 594, 294]}, {"id": "building.21", "bbox": [608, 158, 762, 280]}], "relationships": [{"subject": "man.10", "predicate": "holding", "object": "phone.18"}]}</scene>
<answer>C</answer> | C | <scene>{"objects": [{"id": "building.1", "bbox": [652, 171, 764, 267]}, {"id": "man.10", "bbox": [424, 102, 703, 1018]}, {"id": "man.11", "bbox": [51, 46, 504, 1020]}, {"id": "phone.18", "bbox": [531, 204, 594, 294]}, {"id": "building.21", "bbox": [608, 158, 762, 280]}], "relationships": [{"subject": "man.10", "predicate": "holding", "object": "phone.18"}]}</scene>
<answer>phone</answer> | phone | <scene>{"objects": [{"id": "building.1", "bbox": [652, 171, 764, 267]}, {"id": "man.10", "bbox": [424, 102, 703, 1018]}, {"id": "man.11", "bbox": [51, 46, 504, 1020]}, {"id": "phone.18", "bbox": [531, 204, 594, 294]}, {"id": "building.21", "bbox": [608, 158, 762, 280]}], "relationships": [{"subject": "man.10", "predicate": "holding", "object": "phone.18"}]}</scene>
<answer>(C) phone</answer> | (C) phone | distance | medium | Which object is closer to the man on the right, the phone or the building?
Options:
(A) building
(B) they are equidistant
(C) phone | [
"building",
"they are equidistant",
"phone"
] | 7 | |
498355 | <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. Which object is closer to the pizza, the fork or the glass?
Options:
(A) glass
(B) fork
(C) they are equidistant | Which object is closer to the pizza, the fork or the glass? | <scene>{"objects": [{"id": "fork.4", "bbox": [0, 945, 320, 1018]}, {"id": "fork.5", "bbox": [533, 331, 591, 516]}, {"id": "glass.7", "bbox": [266, 184, 544, 295]}, {"id": "pizza.13", "bbox": [37, 598, 683, 1024]}, {"id": "fork.16", "bbox": [544, 327, 596, 454]}], "relationships": [{"subject": "fork.4", "predicate": "on", "object": "pizza.13"}]}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "fork.4", "bbox": [0, 945, 320, 1018]}, {"id": "fork.5", "bbox": [533, 331, 591, 516]}, {"id": "glass.7", "bbox": [266, 184, 544, 295]}, {"id": "pizza.13", "bbox": [37, 598, 683, 1024]}, {"id": "fork.16", "bbox": [544, 327, 596, 454]}], "relationships": [{"subject": "fork.4", "predicate": "on", "object": "pizza.13"}]}</scene>
<answer>fork</answer> | fork | <scene>{"objects": [{"id": "fork.4", "bbox": [0, 945, 320, 1018]}, {"id": "fork.5", "bbox": [533, 331, 591, 516]}, {"id": "glass.7", "bbox": [266, 184, 544, 295]}, {"id": "pizza.13", "bbox": [37, 598, 683, 1024]}, {"id": "fork.16", "bbox": [544, 327, 596, 454]}], "relationships": [{"subject": "fork.4", "predicate": "on", "object": "pizza.13"}]}</scene>
<answer>(B) fork</answer> | (B) fork | distance | medium | Which object is closer to the pizza, the fork or the glass?
Options:
(A) glass
(B) fork
(C) they are equidistant | [
"glass",
"fork",
"they are equidistant"
] | 7 | |
498383 | <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 685)
Now answer the following question:
Q. Which object is closer to the hand, the pole or the tree?
Options:
(A) tree
(B) pole
(C) they are equidistant | Which object is closer to the hand, the pole or the tree? | <scene>{"objects": [{"id": "hand.3", "bbox": [644, 230, 681, 273]}, {"id": "pole.7", "bbox": [673, 267, 825, 443]}, {"id": "tree.9", "bbox": [0, 0, 1024, 628]}], "relationships": [{"subject": "hand.3", "predicate": "holding", "object": "pole.7"}]}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "hand.3", "bbox": [644, 230, 681, 273]}, {"id": "pole.7", "bbox": [673, 267, 825, 443]}, {"id": "tree.9", "bbox": [0, 0, 1024, 628]}], "relationships": [{"subject": "hand.3", "predicate": "holding", "object": "pole.7"}]}</scene>
<answer>pole</answer> | pole | <scene>{"objects": [{"id": "hand.3", "bbox": [644, 230, 681, 273]}, {"id": "pole.7", "bbox": [673, 267, 825, 443]}, {"id": "tree.9", "bbox": [0, 0, 1024, 628]}], "relationships": [{"subject": "hand.3", "predicate": "holding", "object": "pole.7"}]}</scene>
<answer>(B) pole</answer> | (B) pole | distance | medium | Which object is closer to the hand, the pole or the tree?
Options:
(A) tree
(B) pole
(C) they are equidistant | [
"tree",
"pole",
"they are equidistant"
] | 7 | |
498354 | <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: (819 x 1024)
Now answer the following question:
Q. Which object is closer to the man on the left, the racket or the fence?
Options:
(A) racket
(B) they are equidistant
(C) fence | Which object is closer to the man on the left, the racket or the fence? | <scene>{"objects": [{"id": "man.1", "bbox": [22, 52, 797, 881]}, {"id": "man.2", "bbox": [460, 33, 730, 681]}, {"id": "fence.3", "bbox": [0, 0, 819, 496]}, {"id": "racket.10", "bbox": [529, 212, 789, 332]}, {"id": "racket.11", "bbox": [61, 364, 160, 540]}, {"id": "man.19", "bbox": [26, 202, 386, 610]}], "relationships": [{"subject": "man.1", "predicate": "holding", "object": "racket.11"}, {"subject": "man.2", "predicate": "holding", "object": "racket.10"}]}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "man.1", "bbox": [22, 52, 797, 881]}, {"id": "man.2", "bbox": [460, 33, 730, 681]}, {"id": "fence.3", "bbox": [0, 0, 819, 496]}, {"id": "racket.10", "bbox": [529, 212, 789, 332]}, {"id": "racket.11", "bbox": [61, 364, 160, 540]}, {"id": "man.19", "bbox": [26, 202, 386, 610]}], "relationships": [{"subject": "man.1", "predicate": "holding", "object": "racket.11"}, {"subject": "man.2", "predicate": "holding", "object": "racket.10"}]}</scene>
<answer>racket</answer> | racket | <scene>{"objects": [{"id": "man.1", "bbox": [22, 52, 797, 881]}, {"id": "man.2", "bbox": [460, 33, 730, 681]}, {"id": "fence.3", "bbox": [0, 0, 819, 496]}, {"id": "racket.10", "bbox": [529, 212, 789, 332]}, {"id": "racket.11", "bbox": [61, 364, 160, 540]}, {"id": "man.19", "bbox": [26, 202, 386, 610]}], "relationships": [{"subject": "man.1", "predicate": "holding", "object": "racket.11"}, {"subject": "man.2", "predicate": "holding", "object": "racket.10"}]}</scene>
<answer>(A) racket</answer> | (A) racket | distance | medium | Which object is closer to the man on the left, the racket or the fence?
Options:
(A) racket
(B) they are equidistant
(C) fence | [
"racket",
"they are equidistant",
"fence"
] | 7 | |
498386 | <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 685)
Now answer the following question:
Q. Which object is closer to the child, the bike or the skateboard?
Options:
(A) skateboard
(B) bike
(C) they are equidistant | Which object is closer to the child, the bike or the skateboard? | <scene>{"objects": [{"id": "bike.1", "bbox": [303, 401, 397, 462]}, {"id": "bike.2", "bbox": [444, 369, 539, 429]}, {"id": "child.4", "bbox": [339, 372, 382, 454]}, {"id": "child.5", "bbox": [665, 396, 704, 457]}, {"id": "skateboard.14", "bbox": [74, 479, 117, 524]}, {"id": "bike.16", "bbox": [321, 434, 397, 467]}, {"id": "skateboard.18", "bbox": [668, 433, 720, 464]}, {"id": "skateboard.22", "bbox": [660, 423, 717, 471]}, {"id": "skateboard.23", "bbox": [75, 461, 130, 541]}], "relationships": [{"subject": "child.4", "predicate": "on", "object": "bike.1"}]}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "bike.1", "bbox": [303, 401, 397, 462]}, {"id": "bike.2", "bbox": [444, 369, 539, 429]}, {"id": "child.4", "bbox": [339, 372, 382, 454]}, {"id": "child.5", "bbox": [665, 396, 704, 457]}, {"id": "skateboard.14", "bbox": [74, 479, 117, 524]}, {"id": "bike.16", "bbox": [321, 434, 397, 467]}, {"id": "skateboard.18", "bbox": [668, 433, 720, 464]}, {"id": "skateboard.22", "bbox": [660, 423, 717, 471]}, {"id": "skateboard.23", "bbox": [75, 461, 130, 541]}], "relationships": [{"subject": "child.4", "predicate": "on", "object": "bike.1"}]}</scene>
<answer>bike</answer> | bike | <scene>{"objects": [{"id": "bike.1", "bbox": [303, 401, 397, 462]}, {"id": "bike.2", "bbox": [444, 369, 539, 429]}, {"id": "child.4", "bbox": [339, 372, 382, 454]}, {"id": "child.5", "bbox": [665, 396, 704, 457]}, {"id": "skateboard.14", "bbox": [74, 479, 117, 524]}, {"id": "bike.16", "bbox": [321, 434, 397, 467]}, {"id": "skateboard.18", "bbox": [668, 433, 720, 464]}, {"id": "skateboard.22", "bbox": [660, 423, 717, 471]}, {"id": "skateboard.23", "bbox": [75, 461, 130, 541]}], "relationships": [{"subject": "child.4", "predicate": "on", "object": "bike.1"}]}</scene>
<answer>(B) bike</answer> | (B) bike | distance | medium | Which object is closer to the child, the bike or the skateboard?
Options:
(A) skateboard
(B) bike
(C) they are equidistant | [
"skateboard",
"bike",
"they are equidistant"
] | 7 | |
498358 | <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 767)
Now answer the following question:
Q. Which object is closer to the woman, the board or the table?
Options:
(A) board
(B) they are equidistant
(C) table | Which object is closer to the woman, the board or the table? | <scene>{"objects": [{"id": "board.1", "bbox": [832, 276, 920, 389]}, {"id": "table.16", "bbox": [0, 557, 380, 764]}, {"id": "table.17", "bbox": [787, 612, 1022, 765]}, {"id": "table.18", "bbox": [904, 425, 969, 528]}, {"id": "woman.21", "bbox": [776, 384, 889, 557]}], "relationships": []}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "board.1", "bbox": [832, 276, 920, 389]}, {"id": "table.16", "bbox": [0, 557, 380, 764]}, {"id": "table.17", "bbox": [787, 612, 1022, 765]}, {"id": "table.18", "bbox": [904, 425, 969, 528]}, {"id": "woman.21", "bbox": [776, 384, 889, 557]}], "relationships": []}</scene>
<answer>board</answer> | board | <scene>{"objects": [{"id": "board.1", "bbox": [832, 276, 920, 389]}, {"id": "table.16", "bbox": [0, 557, 380, 764]}, {"id": "table.17", "bbox": [787, 612, 1022, 765]}, {"id": "table.18", "bbox": [904, 425, 969, 528]}, {"id": "woman.21", "bbox": [776, 384, 889, 557]}], "relationships": []}</scene>
<answer>(A) board</answer> | (A) board | distance | medium | Which object is closer to the woman, the board or the table?
Options:
(A) board
(B) they are equidistant
(C) table | [
"board",
"they are equidistant",
"table"
] | 7 | |
498396 | <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. Which object is closer to the man on the right, the racket or the fence?
Options:
(A) racket
(B) fence
(C) they are equidistant | Which object is closer to the man on the right, the racket or the fence? | <scene>{"objects": [{"id": "fence.2", "bbox": [194, 0, 1022, 376]}, {"id": "man.10", "bbox": [441, 37, 954, 767]}, {"id": "man.11", "bbox": [107, 75, 857, 765]}, {"id": "man.12", "bbox": [0, 241, 165, 767]}, {"id": "racket.15", "bbox": [512, 554, 1022, 766]}], "relationships": [{"subject": "man.10", "predicate": "holding", "object": "racket.15"}]}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "fence.2", "bbox": [194, 0, 1022, 376]}, {"id": "man.10", "bbox": [441, 37, 954, 767]}, {"id": "man.11", "bbox": [107, 75, 857, 765]}, {"id": "man.12", "bbox": [0, 241, 165, 767]}, {"id": "racket.15", "bbox": [512, 554, 1022, 766]}], "relationships": [{"subject": "man.10", "predicate": "holding", "object": "racket.15"}]}</scene>
<answer>racket</answer> | racket | <scene>{"objects": [{"id": "fence.2", "bbox": [194, 0, 1022, 376]}, {"id": "man.10", "bbox": [441, 37, 954, 767]}, {"id": "man.11", "bbox": [107, 75, 857, 765]}, {"id": "man.12", "bbox": [0, 241, 165, 767]}, {"id": "racket.15", "bbox": [512, 554, 1022, 766]}], "relationships": [{"subject": "man.10", "predicate": "holding", "object": "racket.15"}]}</scene>
<answer>(A) racket</answer> | (A) racket | distance | medium | Which object is closer to the man on the right, the racket or the fence?
Options:
(A) racket
(B) fence
(C) they are equidistant | [
"racket",
"fence",
"they are equidistant"
] | 7 | |
498369 | <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. Which object is closer to the woman, the child or the bag?
Options:
(A) child
(B) they are equidistant
(C) bag | Which object is closer to the woman, the child or the bag? | <scene>{"objects": [{"id": "bag.2", "bbox": [347, 243, 477, 351]}, {"id": "woman.18", "bbox": [485, 53, 684, 194]}, {"id": "woman.19", "bbox": [626, 43, 841, 227]}, {"id": "woman.24", "bbox": [196, 148, 329, 299]}, {"id": "child.25", "bbox": [157, 199, 285, 374]}, {"id": "child.26", "bbox": [164, 189, 247, 304]}, {"id": "bag.29", "bbox": [331, 231, 472, 320]}], "relationships": [{"subject": "woman.24", "predicate": "holding", "object": "child.25"}, {"subject": "woman.24", "predicate": "holding", "object": "child.26"}]}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "bag.2", "bbox": [347, 243, 477, 351]}, {"id": "woman.18", "bbox": [485, 53, 684, 194]}, {"id": "woman.19", "bbox": [626, 43, 841, 227]}, {"id": "woman.24", "bbox": [196, 148, 329, 299]}, {"id": "child.25", "bbox": [157, 199, 285, 374]}, {"id": "child.26", "bbox": [164, 189, 247, 304]}, {"id": "bag.29", "bbox": [331, 231, 472, 320]}], "relationships": [{"subject": "woman.24", "predicate": "holding", "object": "child.25"}, {"subject": "woman.24", "predicate": "holding", "object": "child.26"}]}</scene>
<answer>child</answer> | child | <scene>{"objects": [{"id": "bag.2", "bbox": [347, 243, 477, 351]}, {"id": "woman.18", "bbox": [485, 53, 684, 194]}, {"id": "woman.19", "bbox": [626, 43, 841, 227]}, {"id": "woman.24", "bbox": [196, 148, 329, 299]}, {"id": "child.25", "bbox": [157, 199, 285, 374]}, {"id": "child.26", "bbox": [164, 189, 247, 304]}, {"id": "bag.29", "bbox": [331, 231, 472, 320]}], "relationships": [{"subject": "woman.24", "predicate": "holding", "object": "child.25"}, {"subject": "woman.24", "predicate": "holding", "object": "child.26"}]}</scene>
<answer>(A) child</answer> | (A) child | distance | medium | Which object is closer to the woman, the child or the bag?
Options:
(A) child
(B) they are equidistant
(C) bag | [
"child",
"they are equidistant",
"bag"
] | 7 | |
498388 | <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. Is there a woman on the sidewalk in the picture?
Options:
(A) yes
(B) no | Is there a woman on the sidewalk in the picture? | <scene>{"objects": [{"id": "sidewalk.4", "bbox": [3, 668, 1017, 761]}, {"id": "woman.9", "bbox": [314, 128, 686, 397]}], "relationships": []}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "sidewalk.4", "bbox": [3, 668, 1017, 761]}, {"id": "woman.9", "bbox": [314, 128, 686, 397]}], "relationships": []}</scene>
<answer>no</answer> | no | <scene>{"objects": [{"id": "sidewalk.4", "bbox": [3, 668, 1017, 761]}, {"id": "woman.9", "bbox": [314, 128, 686, 397]}], "relationships": []}</scene>
<answer>(B) no</answer> | (B) no | existence | medium | Is there a woman on the sidewalk in the picture?
Options:
(A) yes
(B) no | [
"yes",
"no"
] | 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) yes
(B) no | 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>A</answer> | A | <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>(A) yes</answer> | (A) yes | existence | easy | Is there a skier wearing a helmet in the picture?
Options:
(A) yes
(B) no | [
"yes",
"no"
] | 6 | |
498394 | <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. Is there a person walking in the sidewalk in the picture?
Options:
(A) yes
(B) no | Is there a person walking in the sidewalk in the picture? | <scene>{"objects": [{"id": "sidewalk.5", "bbox": [179, 639, 767, 1023]}, {"id": "people.9", "bbox": [397, 620, 459, 700]}], "relationships": [{"subject": "people.9", "predicate": "walking in", "object": "sidewalk.5"}]}</scene>
<answer>A</answer> | A | <scene>{"objects": [{"id": "sidewalk.5", "bbox": [179, 639, 767, 1023]}, {"id": "people.9", "bbox": [397, 620, 459, 700]}], "relationships": [{"subject": "people.9", "predicate": "walking in", "object": "sidewalk.5"}]}</scene>
<answer>yes</answer> | yes | <scene>{"objects": [{"id": "sidewalk.5", "bbox": [179, 639, 767, 1023]}, {"id": "people.9", "bbox": [397, 620, 459, 700]}], "relationships": [{"subject": "people.9", "predicate": "walking in", "object": "sidewalk.5"}]}</scene>
<answer>(A) yes</answer> | (A) yes | existence | easy | Is there a person walking in the sidewalk in the picture?
Options:
(A) yes
(B) no | [
"yes",
"no"
] | 6 | |
498375 | <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 558)
Now answer the following question:
Q. Is there a window on the building in the picture?
Options:
(A) no
(B) yes | Is there a window on the building in the picture? | <scene>{"objects": [{"id": "building.1", "bbox": [0, 0, 1022, 413]}, {"id": "window.8", "bbox": [464, 2, 775, 100]}], "relationships": [{"subject": "window.8", "predicate": "on", "object": "building.1"}]}</scene>
<answer>B</answer> | B | <scene>{"objects": [{"id": "building.1", "bbox": [0, 0, 1022, 413]}, {"id": "window.8", "bbox": [464, 2, 775, 100]}], "relationships": [{"subject": "window.8", "predicate": "on", "object": "building.1"}]}</scene>
<answer>yes</answer> | yes | <scene>{"objects": [{"id": "building.1", "bbox": [0, 0, 1022, 413]}, {"id": "window.8", "bbox": [464, 2, 775, 100]}], "relationships": [{"subject": "window.8", "predicate": "on", "object": "building.1"}]}</scene>
<answer>(B) yes</answer> | (B) yes | existence | easy | Is there a window on the building in the picture?
Options:
(A) no
(B) yes | [
"no",
"yes"
] | 5 |
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