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## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a shiny ball that is behind the tiny brown metallic object; does it have the same color as the large metallic object? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.7, "y": -2.9, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -1.9, "y": -1.1, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -1.4, "y": -2.4, "z": 0.7}, {"id": 4, "object_name": "sphere_2", "x": -1.3, "y": 2.4, "z": 0.3}, {"id": 5, "object_name": "sphere_3", "x": 0.6, "y": -1.8, "z": 0.3}, {"id": 6, "object_name": "sphere_4", "x": 0.7, "y": 2.8, "z": 0.7}, {"id": 7, "object_name": "sphere_5", "x": 1.9, "y": -1.0, "z": 0.3}, {"id": 8, "object_name": "sphere_6", "x": 2.2, "y": 0.9, "z": 0.3}, {"id": 9, "object_name": "cube_3", "x": 2.7, "y": -2.3, "z": 0.3}, {"id": 10, "object_name": "cylinder_1", "x": 2.9, "y": -0.6, "z": 0.3}]</scene>
<answer>yes</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a brown matte thing that is behind the cyan rubber thing; is its size the same as the big gray cylinder? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.5, "y": -0.1, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -2.3, "y": 2.6, "z": 0.7}, {"id": 3, "object_name": "cylinder_3", "x": -0.7, "y": -2.8, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": -0.0, "y": -1.1, "z": 0.7}, {"id": 5, "object_name": "cylinder_4", "x": 0.7, "y": 1.4, "z": 0.7}, {"id": 6, "object_name": "cube_2", "x": 1.0, "y": 2.8, "z": 0.3}, {"id": 7, "object_name": "cylinder_5", "x": 2.4, "y": -2.2, "z": 0.7}, {"id": 8, "object_name": "cube_3", "x": 2.5, "y": 2.8, "z": 0.3}, {"id": 9, "object_name": "cube_4", "x": 2.9, "y": 0.2, "z": 0.7}]</scene>
<answer>yes</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are there any tiny purple objects made of the same material as the large thing? | <scene>[{"id": 1, "object_name": "cube_1", "x": -1.5, "y": -2.0, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -1.1, "y": 1.1, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -0.0, "y": -1.1, "z": 0.3}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What is the color of the small cylinder left of the yellow metallic cylinder? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.4, "y": 0.6, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -2.2, "y": -3.0, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -0.4, "y": 0.7, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": 0.6, "y": -2.6, "z": 0.3}, {"id": 5, "object_name": "sphere_1", "x": 1.0, "y": 1.6, "z": 0.3}, {"id": 6, "object_name": "sphere_2", "x": 2.6, "y": 1.3, "z": 0.3}]</scene>
<answer>yellow</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
The cylinder that is made of the same material as the purple object is what size? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.9, "y": -2.3, "z": 0.3}, {"id": 2, "object_name": "cylinder_2", "x": -2.6, "y": 1.6, "z": 0.7}, {"id": 3, "object_name": "cube_1", "x": -2.2, "y": -0.7, "z": 0.7}, {"id": 4, "object_name": "sphere_1", "x": -0.0, "y": -1.5, "z": 0.3}, {"id": 5, "object_name": "sphere_2", "x": -0.0, "y": 2.5, "z": 0.7}, {"id": 6, "object_name": "sphere_3", "x": 1.2, "y": 0.9, "z": 0.7}, {"id": 7, "object_name": "cube_2", "x": 2.4, "y": 3.0, "z": 0.3}]</scene>
<answer>large</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is there a large green block on the right side of the big object that is on the right side of the large matte block that is to the left of the green object? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.6, "y": 1.7, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": 0.6, "y": -2.9, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": 1.2, "y": -0.6, "z": 0.7}, {"id": 4, "object_name": "cube_3", "x": 1.4, "y": 2.0, "z": 0.7}]</scene>
<answer>no</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is the number of large matte cubes in front of the red metal block greater than the number of large brown objects that are in front of the purple metallic block? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.2, "y": -1.9, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -2.0, "y": 2.0, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -1.8, "y": 0.2, "z": 0.7}, {"id": 4, "object_name": "cube_3", "x": -0.7, "y": -1.7, "z": 0.3}, {"id": 5, "object_name": "cube_4", "x": -0.3, "y": 2.5, "z": 0.3}, {"id": 6, "object_name": "cylinder_2", "x": 1.2, "y": 3.0, "z": 0.7}, {"id": 7, "object_name": "cylinder_3", "x": 2.1, "y": -1.0, "z": 0.7}, {"id": 8, "object_name": "cylinder_4", "x": 2.6, "y": 2.7, "z": 0.3}, {"id": 9, "object_name": "cube_5", "x": 2.9, "y": 0.9, "z": 0.7}]</scene>
<answer>no</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What is the color of the tiny sphere behind the tiny cyan object? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.8, "y": 2.5, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -0.8, "y": -2.3, "z": 0.7}, {"id": 3, "object_name": "sphere_2", "x": 0.2, "y": 0.6, "z": 0.3}, {"id": 4, "object_name": "sphere_3", "x": 1.0, "y": -1.9, "z": 0.3}, {"id": 5, "object_name": "sphere_4", "x": 1.9, "y": 1.6, "z": 0.7}]</scene>
<answer>red</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
How many big balls are on the left side of the big red object and to the right of the tiny blue thing? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": -1.7, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -2.1, "y": 2.2, "z": 0.7}, {"id": 3, "object_name": "sphere_2", "x": -0.5, "y": 2.9, "z": 0.7}, {"id": 4, "object_name": "cylinder_1", "x": 0.6, "y": 1.1, "z": 0.7}, {"id": 5, "object_name": "cylinder_2", "x": 0.6, "y": -1.3, "z": 0.3}]</scene>
<answer>0</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are there any big green metal things? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.2, "y": 0.1, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -0.4, "y": 1.0, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": -2.9, "z": 0.7}, {"id": 4, "object_name": "cube_3", "x": 2.2, "y": -0.5, "z": 0.7}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
The other purple matte object that is the same shape as the large purple matte object is what size? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.8, "y": 2.9, "z": 0.3}, {"id": 2, "object_name": "cylinder_2", "x": -2.6, "y": -1.6, "z": 0.3}, {"id": 3, "object_name": "cube_1", "x": -2.0, "y": 1.0, "z": 0.3}, {"id": 4, "object_name": "cube_2", "x": -1.0, "y": -0.7, "z": 0.7}, {"id": 5, "object_name": "cube_3", "x": -0.4, "y": 2.1, "z": 0.7}, {"id": 6, "object_name": "cylinder_3", "x": 0.5, "y": -2.6, "z": 0.3}, {"id": 7, "object_name": "cylinder_4", "x": 1.0, "y": 0.3, "z": 0.3}, {"id": 8, "object_name": "cylinder_5", "x": 2.2, "y": -2.1, "z": 0.3}, {"id": 9, "object_name": "cube_4", "x": 2.5, "y": 0.9, "z": 0.7}]</scene>
<answer>small</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a gray object that is left of the red object that is left of the large cylinder behind the large brown thing; what shape is it? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.0, "y": 0.5, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -1.7, "y": -1.9, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": -1.3, "y": 2.6, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": -0.9, "y": 1.1, "z": 0.3}, {"id": 5, "object_name": "sphere_2", "x": 1.2, "y": 2.6, "z": 0.7}, {"id": 6, "object_name": "cube_2", "x": 1.9, "y": 0.4, "z": 0.3}, {"id": 7, "object_name": "cube_3", "x": 2.1, "y": -0.9, "z": 0.3}, {"id": 8, "object_name": "cube_4", "x": 2.7, "y": 2.1, "z": 0.3}, {"id": 9, "object_name": "cylinder_3", "x": 2.9, "y": -2.9, "z": 0.7}]</scene>
<answer>cylinder</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a shiny block that is the same size as the brown metal cylinder; what color is it? | <scene>[{"id": 1, "object_name": "cube_1", "x": -3.0, "y": -2.3, "z": 0.7}, {"id": 2, "object_name": "cube_2", "x": -2.4, "y": 0.6, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": -2.2, "y": 2.3, "z": 0.7}, {"id": 4, "object_name": "sphere_1", "x": -1.6, "y": -2.3, "z": 0.3}, {"id": 5, "object_name": "cylinder_2", "x": 0.2, "y": 2.2, "z": 0.7}, {"id": 6, "object_name": "sphere_2", "x": 0.5, "y": -2.8, "z": 0.3}, {"id": 7, "object_name": "sphere_3", "x": 0.9, "y": -1.5, "z": 0.3}, {"id": 8, "object_name": "sphere_4", "x": 1.4, "y": 0.0, "z": 0.7}, {"id": 9, "object_name": "cylinder_3", "x": 1.5, "y": 2.0, "z": 0.3}, {"id": 10, "object_name": "sphere_5", "x": 2.6, "y": -2.4, "z": 0.3}]</scene>
<answer>red</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a cyan matte cube that is left of the large cyan object; are there any tiny purple blocks that are in front of it? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.9, "y": 0.4, "z": 0.3}, {"id": 2, "object_name": "cube_2", "x": -1.2, "y": -2.6, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": 0.3, "y": 0.4, "z": 0.3}, {"id": 4, "object_name": "cylinder_1", "x": 0.3, "y": 2.5, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": 1.1, "y": -0.9, "z": 0.3}, {"id": 6, "object_name": "sphere_3", "x": 1.3, "y": -2.2, "z": 0.7}, {"id": 7, "object_name": "cube_3", "x": 2.4, "y": -0.2, "z": 0.3}]</scene>
<answer>yes</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Do the cyan matte block and the blue metallic cylinder have the same size? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -1.5, "y": 1.5, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -1.3, "y": 2.9, "z": 0.3}, {"id": 3, "object_name": "cylinder_3", "x": -0.9, "y": -0.3, "z": 0.7}, {"id": 4, "object_name": "sphere_1", "x": 0.1, "y": 2.4, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": 0.1, "y": -3.0, "z": 0.3}, {"id": 6, "object_name": "cylinder_4", "x": 1.9, "y": 1.5, "z": 0.3}, {"id": 7, "object_name": "cube_1", "x": 3.0, "y": 1.5, "z": 0.3}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a small cyan metallic object on the right side of the small rubber cube that is on the right side of the tiny rubber block to the left of the gray thing; what shape is it? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.8, "y": 2.1, "z": 0.3}, {"id": 2, "object_name": "cube_2", "x": -0.7, "y": 2.7, "z": 0.3}, {"id": 3, "object_name": "cube_3", "x": -0.3, "y": -0.9, "z": 0.3}, {"id": 4, "object_name": "cube_4", "x": -0.0, "y": 1.3, "z": 0.3}, {"id": 5, "object_name": "cube_5", "x": 0.9, "y": -2.8, "z": 0.3}, {"id": 6, "object_name": "sphere_1", "x": 1.9, "y": 2.9, "z": 0.3}, {"id": 7, "object_name": "cylinder_1", "x": 2.5, "y": 0.4, "z": 0.7}, {"id": 8, "object_name": "sphere_2", "x": 2.9, "y": -1.9, "z": 0.7}]</scene>
<answer>cube</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a cyan shiny object; how many large cyan metallic objects are on the left side of it? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.7, "y": -1.3, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": 0.1, "y": 1.1, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": 1.1, "y": -0.8, "z": 0.7}]</scene>
<answer>0</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a metallic ball that is the same size as the yellow rubber cylinder; what color is it? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.6, "y": -1.3, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -2.5, "y": 0.7, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -1.7, "y": 2.8, "z": 0.7}, {"id": 4, "object_name": "cylinder_1", "x": -1.0, "y": -1.6, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": -0.2, "y": 0.2, "z": 0.3}, {"id": 6, "object_name": "sphere_3", "x": 1.1, "y": -1.6, "z": 0.3}, {"id": 7, "object_name": "sphere_4", "x": 2.7, "y": 1.2, "z": 0.7}, {"id": 8, "object_name": "cylinder_2", "x": 2.8, "y": -0.6, "z": 0.7}]</scene>
<answer>red</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What number of cylinders are small rubber things or brown metallic things? | <scene>[{"id": 1, "object_name": "cube_1", "x": -3.0, "y": 0.9, "z": 0.7}, {"id": 2, "object_name": "cube_2", "x": -2.1, "y": -2.4, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": 0.8, "y": -0.8, "z": 0.7}, {"id": 4, "object_name": "cylinder_1", "x": 1.3, "y": 2.3, "z": 0.7}, {"id": 5, "object_name": "cube_3", "x": 2.2, "y": 0.0, "z": 0.3}]</scene>
<answer>1</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What size is the gray matte thing? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.6, "y": -0.8, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -1.7, "y": -1.0, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -1.2, "y": 2.1, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": 0.9, "y": -1.2, "z": 0.3}, {"id": 5, "object_name": "sphere_2", "x": 2.5, "y": 2.8, "z": 0.3}]</scene>
<answer>small</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are the blue thing right of the tiny yellow shiny sphere and the big thing that is on the left side of the large metallic object made of the same material? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.1, "y": 0.5, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -1.0, "y": -2.3, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": -0.4, "y": -0.3, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": 0.3, "y": -2.7, "z": 0.3}, {"id": 5, "object_name": "cube_2", "x": 1.1, "y": 2.8, "z": 0.7}, {"id": 6, "object_name": "sphere_2", "x": 1.5, "y": -0.3, "z": 0.3}]</scene>
<answer>no</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a red thing that is to the right of the brown metallic cylinder and behind the tiny red rubber cube; what material is it? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.9, "y": 1.3, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -2.8, "y": -2.9, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": -0.5, "y": -1.8, "z": 0.7}, {"id": 4, "object_name": "cylinder_3", "x": 0.4, "y": 1.9, "z": 0.7}, {"id": 5, "object_name": "cube_2", "x": 0.5, "y": -0.0, "z": 0.3}, {"id": 6, "object_name": "cube_3", "x": 2.8, "y": 0.6, "z": 0.3}]</scene>
<answer>metal</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a cube on the left side of the small block; what is its size? | <scene>[{"id": 1, "object_name": "cube_1", "x": -1.7, "y": 1.9, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -0.9, "y": -2.2, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": 2.8, "y": -0.2, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": 2.9, "y": 1.2, "z": 0.3}]</scene>
<answer>large</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Does the matte block in front of the gray matte cylinder have the same size as the big purple rubber block? | <scene>[{"id": 1, "object_name": "cube_1", "x": -1.8, "y": -0.5, "z": 0.7}, {"id": 2, "object_name": "cube_2", "x": -0.2, "y": -1.0, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": 1.4, "y": -1.5, "z": 0.3}, {"id": 4, "object_name": "sphere_1", "x": 2.1, "y": 0.1, "z": 0.3}, {"id": 5, "object_name": "cube_3", "x": 2.8, "y": -1.8, "z": 0.7}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a yellow thing that is to the right of the red rubber object that is left of the purple object; what is it made of? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.9, "y": -2.1, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -2.8, "y": -0.2, "z": 0.7}, {"id": 3, "object_name": "cube_1", "x": -1.8, "y": 2.0, "z": 0.7}, {"id": 4, "object_name": "cylinder_3", "x": -1.3, "y": -2.9, "z": 0.7}, {"id": 5, "object_name": "cylinder_4", "x": -0.2, "y": -0.8, "z": 0.7}, {"id": 6, "object_name": "sphere_1", "x": 0.6, "y": 2.6, "z": 0.3}, {"id": 7, "object_name": "cylinder_5", "x": 1.0, "y": 1.6, "z": 0.3}, {"id": 8, "object_name": "cylinder_6", "x": 1.2, "y": -2.6, "z": 0.7}, {"id": 9, "object_name": "sphere_2", "x": 3.0, "y": 1.3, "z": 0.7}]</scene>
<answer>metal</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What color is the matte object that is behind the metallic sphere that is in front of the green rubber object that is left of the big matte block? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.5, "y": -2.6, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -0.9, "y": -0.1, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -0.3, "y": -2.8, "z": 0.3}, {"id": 4, "object_name": "sphere_1", "x": 2.3, "y": 1.7, "z": 0.3}, {"id": 5, "object_name": "cube_3", "x": 2.6, "y": -2.4, "z": 0.7}]</scene>
<answer>green</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are the tiny purple object and the sphere that is in front of the large brown matte thing made of the same material? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.5, "y": 2.7, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -1.9, "y": -0.4, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -1.7, "y": 0.9, "z": 0.3}, {"id": 4, "object_name": "cube_3", "x": -1.1, "y": -2.2, "z": 0.3}, {"id": 5, "object_name": "sphere_1", "x": 0.9, "y": -2.2, "z": 0.7}, {"id": 6, "object_name": "sphere_2", "x": 1.7, "y": -0.3, "z": 0.7}, {"id": 7, "object_name": "cylinder_2", "x": 2.0, "y": 2.7, "z": 0.3}]</scene>
<answer>yes</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is the number of small balls less than the number of large metallic cylinders? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.4, "y": -2.2, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -1.7, "y": 1.8, "z": 0.7}, {"id": 3, "object_name": "cylinder_3", "x": -0.8, "y": -2.2, "z": 0.7}, {"id": 4, "object_name": "sphere_1", "x": 0.0, "y": 1.2, "z": 0.3}, {"id": 5, "object_name": "cube_1", "x": 0.0, "y": 2.5, "z": 0.3}, {"id": 6, "object_name": "cube_2", "x": 1.7, "y": -2.3, "z": 0.7}, {"id": 7, "object_name": "cube_3", "x": 2.0, "y": 2.3, "z": 0.7}, {"id": 8, "object_name": "cylinder_4", "x": 2.3, "y": 0.0, "z": 0.3}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What shape is the big rubber thing in front of the large rubber thing behind the metal object? | <scene>[{"id": 1, "object_name": "cube_1", "x": -1.4, "y": 0.6, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.4, "y": -2.5, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": 1.0, "y": -2.1, "z": 0.3}, {"id": 4, "object_name": "cube_2", "x": 1.1, "y": -0.8, "z": 0.7}, {"id": 5, "object_name": "cube_3", "x": 1.7, "y": 1.8, "z": 0.3}]</scene>
<answer>cube</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What is the color of the block to the left of the small brown object in front of the object on the left side of the large purple shiny object? | <scene>[{"id": 1, "object_name": "cube_1", "x": -1.5, "y": -0.1, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.3, "y": -2.6, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -1.2, "y": 2.9, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": 0.2, "y": 3.0, "z": 0.7}, {"id": 5, "object_name": "sphere_1", "x": 1.3, "y": -1.7, "z": 0.3}, {"id": 6, "object_name": "sphere_2", "x": 1.8, "y": 2.6, "z": 0.3}, {"id": 7, "object_name": "cylinder_3", "x": 2.9, "y": -2.5, "z": 0.7}]</scene>
<answer>purple</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a gray cylinder that is the same size as the red thing; what is its material? | <scene>[{"id": 1, "object_name": "cube_1", "x": -1.9, "y": -0.1, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.3, "y": 1.8, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": 2.6, "y": 2.4, "z": 0.7}]</scene>
<answer>rubber</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are there more small red matte things than tiny blue things? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.7, "y": -1.2, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -1.8, "y": 1.7, "z": 0.7}, {"id": 3, "object_name": "cube_1", "x": -1.0, "y": -0.8, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": -0.2, "y": -2.4, "z": 0.7}, {"id": 5, "object_name": "cylinder_2", "x": 0.8, "y": 2.2, "z": 0.3}, {"id": 6, "object_name": "cube_2", "x": 0.9, "y": 0.7, "z": 0.7}, {"id": 7, "object_name": "cylinder_3", "x": 2.3, "y": -1.1, "z": 0.3}, {"id": 8, "object_name": "cylinder_4", "x": 2.5, "y": -0.0, "z": 0.3}, {"id": 9, "object_name": "cube_3", "x": 3.0, "y": 2.2, "z": 0.7}]</scene>
<answer>no</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are there any tiny things that have the same material as the brown cylinder? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": 0.4, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -2.9, "y": -2.8, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -2.0, "y": -1.0, "z": 0.7}, {"id": 4, "object_name": "cylinder_2", "x": -1.0, "y": -2.6, "z": 0.3}, {"id": 5, "object_name": "cylinder_3", "x": -0.8, "y": 1.4, "z": 0.3}, {"id": 6, "object_name": "cylinder_4", "x": 1.6, "y": -2.5, "z": 0.3}, {"id": 7, "object_name": "sphere_2", "x": 2.5, "y": -2.7, "z": 0.3}, {"id": 8, "object_name": "sphere_3", "x": 2.6, "y": 2.1, "z": 0.3}, {"id": 9, "object_name": "cylinder_5", "x": 2.6, "y": -0.4, "z": 0.3}, {"id": 10, "object_name": "cube_2", "x": 2.7, "y": 0.9, "z": 0.3}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is there any other thing that has the same material as the purple sphere? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.8, "y": 0.3, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -2.1, "y": 2.0, "z": 0.7}, {"id": 3, "object_name": "sphere_2", "x": -2.0, "y": -1.5, "z": 0.7}, {"id": 4, "object_name": "cube_2", "x": -0.0, "y": -1.3, "z": 0.7}, {"id": 5, "object_name": "cylinder_1", "x": 0.0, "y": 1.9, "z": 0.7}, {"id": 6, "object_name": "cube_3", "x": 1.7, "y": -2.1, "z": 0.7}, {"id": 7, "object_name": "cylinder_2", "x": 2.9, "y": 0.9, "z": 0.7}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What color is the metallic cylinder? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": 2.7, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -2.9, "y": 1.4, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": -2.6, "y": -0.3, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": -1.2, "y": -2.1, "z": 0.7}, {"id": 5, "object_name": "cube_2", "x": 0.0, "y": 1.3, "z": 0.7}, {"id": 6, "object_name": "cube_3", "x": 0.7, "y": 2.8, "z": 0.3}, {"id": 7, "object_name": "cylinder_3", "x": 0.8, "y": -2.7, "z": 0.3}, {"id": 8, "object_name": "cube_4", "x": 2.1, "y": 0.6, "z": 0.3}, {"id": 9, "object_name": "cube_5", "x": 2.1, "y": 2.6, "z": 0.3}, {"id": 10, "object_name": "sphere_2", "x": 2.2, "y": -2.5, "z": 0.3}]</scene>
<answer>gray</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
How many blocks are yellow matte things or big blue matte things? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.9, "y": 0.4, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -1.0, "y": 0.6, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": 0.7, "y": 0.6, "z": 0.3}, {"id": 4, "object_name": "cylinder_3", "x": 2.0, "y": 1.0, "z": 0.3}]</scene>
<answer>0</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What number of gray things are large things or shiny things? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.3, "y": 1.5, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -0.8, "y": -0.8, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": -0.1, "y": 1.4, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": 1.7, "y": 2.6, "z": 0.3}, {"id": 5, "object_name": "cylinder_3", "x": 2.1, "y": -1.2, "z": 0.7}]</scene>
<answer>1</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
How many metal objects are spheres or tiny cubes? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.9, "y": -2.9, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -2.2, "y": 1.1, "z": 0.3}, {"id": 3, "object_name": "cylinder_3", "x": -2.1, "y": -1.1, "z": 0.7}, {"id": 4, "object_name": "cylinder_4", "x": -1.4, "y": -2.5, "z": 0.3}, {"id": 5, "object_name": "cube_1", "x": -0.7, "y": 2.1, "z": 0.3}, {"id": 6, "object_name": "sphere_1", "x": 0.9, "y": -2.6, "z": 0.7}, {"id": 7, "object_name": "sphere_2", "x": 1.4, "y": -0.4, "z": 0.7}, {"id": 8, "object_name": "cylinder_5", "x": 2.8, "y": -2.3, "z": 0.3}]</scene>
<answer>1</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are there any other small things of the same shape as the gray object? | <scene>[{"id": 1, "object_name": "cube_1", "x": -1.7, "y": -0.6, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": 0.4, "y": 1.0, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": 2.3, "y": 1.6, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": 2.6, "y": -2.2, "z": 0.3}, {"id": 5, "object_name": "cube_3", "x": 3.0, "y": -0.4, "z": 0.3}]</scene>
<answer>no</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
How many cylinders are gray matte things or tiny blue things? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.7, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -2.3, "y": -2.6, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": -0.6, "y": 0.1, "z": 0.7}, {"id": 4, "object_name": "cylinder_2", "x": 0.1, "y": 2.2, "z": 0.7}, {"id": 5, "object_name": "sphere_3", "x": 0.3, "y": -2.6, "z": 0.3}, {"id": 6, "object_name": "sphere_4", "x": 3.0, "y": -1.3, "z": 0.7}]</scene>
<answer>0</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What number of large blue matte things have the same shape as the purple rubber object? | <scene>[{"id": 1, "object_name": "cube_1", "x": -3.0, "y": -2.9, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -2.2, "y": -0.6, "z": 0.7}, {"id": 3, "object_name": "sphere_2", "x": -0.6, "y": 2.5, "z": 0.7}, {"id": 4, "object_name": "cube_2", "x": 0.9, "y": -2.1, "z": 0.3}, {"id": 5, "object_name": "cylinder_1", "x": 1.3, "y": -0.2, "z": 0.7}, {"id": 6, "object_name": "cylinder_2", "x": 2.1, "y": -2.5, "z": 0.3}]</scene>
<answer>0</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Do the metal block that is behind the green metal thing and the large green object have the same size? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.0, "y": -2.3, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -1.6, "y": 0.2, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -0.5, "y": -2.9, "z": 0.3}, {"id": 4, "object_name": "cube_3", "x": -0.3, "y": -1.9, "z": 0.3}, {"id": 5, "object_name": "cube_4", "x": 1.1, "y": 2.4, "z": 0.7}, {"id": 6, "object_name": "cube_5", "x": 1.3, "y": 0.5, "z": 0.3}, {"id": 7, "object_name": "cube_6", "x": 2.6, "y": -2.1, "z": 0.7}]</scene>
<answer>yes</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What is the shape of the object that is both to the right of the cyan rubber thing and in front of the green sphere? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.6, "y": 0.3, "z": 0.7}, {"id": 2, "object_name": "sphere_2", "x": -0.3, "y": -2.9, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": 1.4, "y": 2.7, "z": 0.3}]</scene>
<answer>cylinder</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
How many objects are either cubes or rubber objects in front of the green matte block? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.6, "y": -1.7, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": 0.0, "y": 0.3, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": 0.0, "y": -2.1, "z": 0.7}, {"id": 4, "object_name": "cube_2", "x": 1.6, "y": 0.9, "z": 0.3}, {"id": 5, "object_name": "sphere_2", "x": 2.5, "y": -2.7, "z": 0.7}]</scene>
<answer>3</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Do the metallic thing right of the cube and the rubber thing have the same size? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.9, "y": 0.3, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -1.9, "y": -2.8, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": 3.0, "y": -0.6, "z": 0.3}]</scene>
<answer>no</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Do the small cyan block and the large object that is to the left of the tiny cyan object have the same material? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": 2.4, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -2.6, "y": -0.5, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": -1.0, "y": 2.0, "z": 0.7}, {"id": 4, "object_name": "cylinder_2", "x": -0.3, "y": -0.4, "z": 0.7}, {"id": 5, "object_name": "cylinder_3", "x": 0.9, "y": 1.6, "z": 0.7}, {"id": 6, "object_name": "cube_2", "x": 1.4, "y": -2.5, "z": 0.3}, {"id": 7, "object_name": "cylinder_4", "x": 1.9, "y": -1.2, "z": 0.3}, {"id": 8, "object_name": "cylinder_5", "x": 2.2, "y": 1.3, "z": 0.3}]</scene>
<answer>no</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is there anything else of the same color as the big block? | <scene>[{"id": 1, "object_name": "cube_1", "x": -1.2, "y": 1.2, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -1.1, "y": -2.9, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -0.9, "y": 2.6, "z": 0.3}, {"id": 4, "object_name": "cube_3", "x": 1.4, "y": 2.2, "z": 0.3}, {"id": 5, "object_name": "sphere_2", "x": 1.4, "y": -2.6, "z": 0.7}, {"id": 6, "object_name": "sphere_3", "x": 2.6, "y": 0.5, "z": 0.7}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a gray cylinder; is its size the same as the metallic object that is to the right of the gray metallic cylinder? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.7, "y": -1.9, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -2.3, "y": -0.6, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -1.8, "y": 0.9, "z": 0.7}]</scene>
<answer>no</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
The yellow cylinder that is made of the same material as the large sphere is what size? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.5, "y": -0.9, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -2.1, "y": -2.9, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": -1.7, "y": 2.5, "z": 0.7}, {"id": 4, "object_name": "cylinder_2", "x": -1.5, "y": 1.0, "z": 0.3}, {"id": 5, "object_name": "sphere_2", "x": 0.3, "y": 1.5, "z": 0.3}, {"id": 6, "object_name": "cylinder_3", "x": 0.7, "y": -2.7, "z": 0.7}, {"id": 7, "object_name": "cube_2", "x": 0.9, "y": -0.4, "z": 0.7}, {"id": 8, "object_name": "cube_3", "x": 2.0, "y": 2.6, "z": 0.3}, {"id": 9, "object_name": "cube_4", "x": 2.8, "y": 0.5, "z": 0.3}]</scene>
<answer>large</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
How many other things are there of the same material as the yellow object? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.4, "y": 2.0, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -0.6, "y": -0.8, "z": 0.7}, {"id": 3, "object_name": "cube_1", "x": 1.0, "y": -2.7, "z": 0.7}, {"id": 4, "object_name": "sphere_2", "x": 1.4, "y": 2.1, "z": 0.3}, {"id": 5, "object_name": "cylinder_2", "x": 2.0, "y": 0.1, "z": 0.3}]</scene>
<answer>2</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a object that is on the left side of the brown thing and behind the tiny cylinder; what shape is it? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.0, "y": -1.5, "z": 0.3}, {"id": 2, "object_name": "cube_2", "x": -0.7, "y": 0.8, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": -0.4, "y": 2.6, "z": 0.7}, {"id": 4, "object_name": "cylinder_1", "x": 0.8, "y": -1.1, "z": 0.3}, {"id": 5, "object_name": "cube_3", "x": 1.4, "y": -2.8, "z": 0.7}, {"id": 6, "object_name": "sphere_2", "x": 1.6, "y": 1.7, "z": 0.7}, {"id": 7, "object_name": "sphere_3", "x": 2.2, "y": -0.8, "z": 0.7}]</scene>
<answer>cube</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is the cyan sphere made of the same material as the object on the left side of the large green thing? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -1.1, "y": -2.9, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -0.7, "y": -0.8, "z": 0.7}, {"id": 3, "object_name": "sphere_2", "x": 0.3, "y": 2.5, "z": 0.7}, {"id": 4, "object_name": "sphere_3", "x": 0.8, "y": -2.9, "z": 0.7}, {"id": 5, "object_name": "sphere_4", "x": 1.3, "y": -0.8, "z": 0.3}, {"id": 6, "object_name": "cube_2", "x": 2.6, "y": 2.1, "z": 0.3}]</scene>
<answer>no</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a small rubber thing on the right side of the large matte cube right of the big red matte thing behind the rubber cylinder; what shape is it? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 1.9, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -2.3, "y": 0.1, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -2.0, "y": -2.3, "z": 0.3}, {"id": 4, "object_name": "cube_3", "x": -0.9, "y": 2.8, "z": 0.7}, {"id": 5, "object_name": "sphere_1", "x": 1.0, "y": 2.3, "z": 0.3}, {"id": 6, "object_name": "cube_4", "x": 1.1, "y": 0.5, "z": 0.7}, {"id": 7, "object_name": "sphere_2", "x": 1.8, "y": -1.1, "z": 0.7}, {"id": 8, "object_name": "cylinder_2", "x": 1.9, "y": -2.5, "z": 0.3}, {"id": 9, "object_name": "cube_5", "x": 2.8, "y": 1.5, "z": 0.3}]</scene>
<answer>cube</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a large brown thing that is in front of the big matte cylinder; is its shape the same as the rubber object to the right of the rubber ball? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -1.9, "y": -0.7, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -0.8, "y": -2.9, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": 1.3, "y": -2.0, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": 1.5, "y": 2.0, "z": 0.7}]</scene>
<answer>no</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What number of red things are small rubber balls or tiny things? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.8, "y": -1.3, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -2.2, "y": 0.9, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -0.9, "y": -1.3, "z": 0.3}, {"id": 4, "object_name": "cylinder_3", "x": -0.6, "y": -2.7, "z": 0.7}, {"id": 5, "object_name": "cylinder_4", "x": 0.2, "y": 0.9, "z": 0.7}, {"id": 6, "object_name": "cylinder_5", "x": 1.8, "y": -1.3, "z": 0.3}, {"id": 7, "object_name": "sphere_1", "x": 2.4, "y": 0.1, "z": 0.7}]</scene>
<answer>0</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
How many cyan objects are cubes or balls? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.0, "y": -1.2, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -0.8, "y": 0.9, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -0.6, "y": -1.0, "z": 0.3}, {"id": 4, "object_name": "cube_2", "x": 1.2, "y": -1.4, "z": 0.7}, {"id": 5, "object_name": "cylinder_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>0</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is the color of the shiny thing that is to the left of the large sphere the same as the thing right of the tiny green block? | <scene>[{"id": 1, "object_name": "cube_1", "x": 2.2, "y": 0.5, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": 2.4, "y": 2.6, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": 2.4, "y": -2.5, "z": 0.3}]</scene>
<answer>no</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
How many big brown objects have the same shape as the yellow object? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.7, "y": 0.0, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -2.7, "y": 1.9, "z": 0.7}, {"id": 3, "object_name": "cube_1", "x": -1.7, "y": -2.0, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": -1.2, "y": 2.9, "z": 0.7}, {"id": 5, "object_name": "cube_2", "x": -1.1, "y": -0.6, "z": 0.7}, {"id": 6, "object_name": "cube_3", "x": -0.9, "y": 0.9, "z": 0.3}, {"id": 7, "object_name": "cylinder_3", "x": 0.8, "y": -1.8, "z": 0.3}, {"id": 8, "object_name": "cube_4", "x": 1.9, "y": 1.4, "z": 0.3}, {"id": 9, "object_name": "sphere_2", "x": 2.2, "y": -1.2, "z": 0.7}, {"id": 10, "object_name": "cylinder_4", "x": 2.9, "y": 1.7, "z": 0.3}]</scene>
<answer>1</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What material is the small object that is behind the block that is in front of the rubber thing that is behind the small metal thing? | <scene>[{"id": 1, "object_name": "cube_1", "x": -1.2, "y": -3.0, "z": 0.3}, {"id": 2, "object_name": "cube_2", "x": -0.3, "y": 3.0, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": -0.2, "y": 0.3, "z": 0.3}]</scene>
<answer>metal</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is the number of brown cylinders greater than the number of big green rubber blocks? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -1.7, "y": -1.3, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -1.6, "y": 1.2, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": -0.6, "y": -2.9, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": 0.7, "y": 2.8, "z": 0.7}, {"id": 5, "object_name": "cylinder_3", "x": 0.9, "y": -0.4, "z": 0.3}, {"id": 6, "object_name": "cylinder_4", "x": 1.0, "y": -2.2, "z": 0.7}, {"id": 7, "object_name": "cube_1", "x": 1.6, "y": 1.1, "z": 0.3}, {"id": 8, "object_name": "sphere_3", "x": 2.5, "y": 2.9, "z": 0.3}, {"id": 9, "object_name": "cube_2", "x": 2.7, "y": -1.3, "z": 0.7}]</scene>
<answer>yes</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are there the same number of tiny metal cylinders on the right side of the big brown thing and large brown things? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.9, "y": 2.1, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -1.3, "y": -2.2, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": -0.0, "y": 3.0, "z": 0.7}, {"id": 4, "object_name": "cylinder_2", "x": 0.2, "y": 0.3, "z": 0.7}, {"id": 5, "object_name": "cylinder_3", "x": 0.9, "y": -2.7, "z": 0.3}, {"id": 6, "object_name": "cylinder_4", "x": 2.3, "y": -0.3, "z": 0.7}]</scene>
<answer>no</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a metal cylinder that is behind the large metallic block that is left of the red object; what is its size? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.7, "z": 0.7}, {"id": 2, "object_name": "cube_2", "x": -1.6, "y": -1.4, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -0.8, "y": 0.8, "z": 0.3}, {"id": 4, "object_name": "sphere_1", "x": 0.2, "y": -1.0, "z": 0.7}, {"id": 5, "object_name": "cube_3", "x": 1.0, "y": -3.0, "z": 0.7}, {"id": 6, "object_name": "sphere_2", "x": 2.1, "y": -0.5, "z": 0.3}, {"id": 7, "object_name": "sphere_3", "x": 2.4, "y": 2.4, "z": 0.7}, {"id": 8, "object_name": "cylinder_2", "x": 2.6, "y": 1.1, "z": 0.3}, {"id": 9, "object_name": "sphere_4", "x": 2.8, "y": -1.7, "z": 0.3}]</scene>
<answer>small</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What number of tiny purple things are in front of the green thing? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.7, "y": -2.6, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -2.4, "y": 0.5, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": -0.7, "y": -2.0, "z": 0.3}, {"id": 4, "object_name": "cube_2", "x": -0.5, "y": 0.6, "z": 0.7}, {"id": 5, "object_name": "cube_3", "x": 0.5, "y": 2.3, "z": 0.3}, {"id": 6, "object_name": "sphere_2", "x": 0.9, "y": -1.7, "z": 0.7}, {"id": 7, "object_name": "cube_4", "x": 2.4, "y": 2.3, "z": 0.7}, {"id": 8, "object_name": "sphere_3", "x": 2.6, "y": -0.4, "z": 0.3}]</scene>
<answer>1</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Does the big cyan thing have the same shape as the small brown object? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.3, "y": -1.3, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -1.5, "y": -2.8, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -1.3, "y": 2.5, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": 0.0, "y": 2.7, "z": 0.7}, {"id": 5, "object_name": "cube_3", "x": 0.9, "y": -1.4, "z": 0.3}, {"id": 6, "object_name": "cube_4", "x": 1.8, "y": -3.0, "z": 0.3}, {"id": 7, "object_name": "cube_5", "x": 2.0, "y": 2.6, "z": 0.7}, {"id": 8, "object_name": "sphere_3", "x": 2.2, "y": -1.2, "z": 0.3}, {"id": 9, "object_name": "cylinder_1", "x": 2.6, "y": 1.3, "z": 0.3}, {"id": 10, "object_name": "cylinder_2", "x": 2.8, "y": -2.4, "z": 0.3}]</scene>
<answer>no</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is the sphere that is to the right of the big purple sphere made of the same material as the red ball behind the small red shiny object? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -1.5, "y": -2.5, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -0.2, "y": 1.4, "z": 0.7}, {"id": 3, "object_name": "sphere_2", "x": 0.6, "y": -1.1, "z": 0.7}, {"id": 4, "object_name": "sphere_3", "x": 2.8, "y": -0.4, "z": 0.3}]</scene>
<answer>no</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
The shiny ball that is the same size as the yellow object is what color? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.7, "y": -1.5, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -1.9, "y": 0.2, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": -0.6, "y": -1.5, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": 0.3, "y": 1.1, "z": 0.7}, {"id": 5, "object_name": "cylinder_2", "x": 2.1, "y": 0.7, "z": 0.7}]</scene>
<answer>red</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is the cyan matte thing the same shape as the large cyan metallic thing? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.6, "y": -1.9, "z": 0.3}, {"id": 2, "object_name": "sphere_2", "x": -2.2, "y": 0.8, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -0.8, "y": -2.8, "z": 0.3}, {"id": 4, "object_name": "sphere_3", "x": 0.3, "y": -0.4, "z": 0.7}, {"id": 5, "object_name": "cylinder_2", "x": 0.6, "y": 2.9, "z": 0.7}, {"id": 6, "object_name": "cube_1", "x": 0.9, "y": -2.6, "z": 0.3}, {"id": 7, "object_name": "sphere_4", "x": 2.5, "y": 3.0, "z": 0.7}]</scene>
<answer>no</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What number of rubber objects are either cyan things or green cylinders? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.9, "y": 1.4, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -2.8, "y": -1.9, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": -2.3, "y": 3.0, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": -0.9, "y": -1.5, "z": 0.7}, {"id": 5, "object_name": "cylinder_3", "x": -0.4, "y": 2.9, "z": 0.7}, {"id": 6, "object_name": "sphere_3", "x": 1.3, "y": -1.7, "z": 0.7}, {"id": 7, "object_name": "cylinder_4", "x": 1.6, "y": 2.0, "z": 0.3}, {"id": 8, "object_name": "cube_1", "x": 2.2, "y": 0.0, "z": 0.7}, {"id": 9, "object_name": "cube_2", "x": 2.8, "y": -2.2, "z": 0.3}, {"id": 10, "object_name": "sphere_4", "x": 3.0, "y": 2.3, "z": 0.3}]</scene>
<answer>1</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are the object to the left of the blue cylinder and the large gray cylinder that is on the right side of the large green rubber thing made of the same material? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.5, "y": 2.2, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.7, "y": 0.4, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": -0.5, "y": 2.5, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": -0.2, "y": 0.8, "z": 0.3}, {"id": 5, "object_name": "cylinder_3", "x": 0.1, "y": -2.4, "z": 0.3}, {"id": 6, "object_name": "cylinder_4", "x": 1.0, "y": 2.8, "z": 0.7}, {"id": 7, "object_name": "sphere_2", "x": 1.5, "y": -1.8, "z": 0.3}, {"id": 8, "object_name": "sphere_3", "x": 1.8, "y": 1.2, "z": 0.7}, {"id": 9, "object_name": "cube_2", "x": 2.4, "y": 2.6, "z": 0.3}, {"id": 10, "object_name": "sphere_4", "x": 2.8, "y": -1.0, "z": 0.7}]</scene>
<answer>yes</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What shape is the cyan thing to the right of the shiny cylinder on the right side of the big ball in front of the small brown metal object? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": -1.7, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -2.6, "y": -2.7, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": -1.9, "y": 0.3, "z": 0.7}, {"id": 4, "object_name": "cylinder_1", "x": -1.5, "y": -2.1, "z": 0.3}, {"id": 5, "object_name": "sphere_3", "x": 0.4, "y": 1.5, "z": 0.7}, {"id": 6, "object_name": "sphere_4", "x": 1.5, "y": -0.2, "z": 0.3}, {"id": 7, "object_name": "sphere_5", "x": 1.9, "y": -1.5, "z": 0.7}, {"id": 8, "object_name": "cylinder_2", "x": 2.5, "y": 0.3, "z": 0.3}, {"id": 9, "object_name": "cube_2", "x": 2.9, "y": 2.1, "z": 0.3}]</scene>
<answer>cube</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What color is the large cube in front of the big green metal thing that is on the left side of the big green block? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.7, "y": -2.9, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -2.7, "y": -1.2, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -2.7, "y": -0.1, "z": 0.3}, {"id": 4, "object_name": "cylinder_1", "x": -1.3, "y": 2.2, "z": 0.3}, {"id": 5, "object_name": "cube_3", "x": 0.2, "y": 1.5, "z": 0.3}, {"id": 6, "object_name": "sphere_2", "x": 0.4, "y": -2.2, "z": 0.7}, {"id": 7, "object_name": "cube_4", "x": 2.0, "y": 1.8, "z": 0.7}, {"id": 8, "object_name": "sphere_3", "x": 2.7, "y": -2.5, "z": 0.7}]</scene>
<answer>green</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Is the material of the tiny object the same as the large red thing that is on the right side of the big gray sphere? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -1.8, "y": -1.5, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -1.8, "y": 0.1, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -1.0, "y": 2.6, "z": 0.7}, {"id": 4, "object_name": "sphere_2", "x": 0.4, "y": 0.1, "z": 0.7}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
How big is the shiny object that is both left of the big green cube and behind the big brown thing? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -1.5, "y": -2.6, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -0.7, "y": -1.0, "z": 0.3}, {"id": 3, "object_name": "cube_1", "x": -0.5, "y": 1.4, "z": 0.7}, {"id": 4, "object_name": "cylinder_2", "x": 0.1, "y": 2.7, "z": 0.3}, {"id": 5, "object_name": "cube_2", "x": 1.0, "y": -1.7, "z": 0.3}, {"id": 6, "object_name": "cube_3", "x": 1.9, "y": 0.2, "z": 0.7}, {"id": 7, "object_name": "cube_4", "x": 2.6, "y": -1.9, "z": 0.7}]</scene>
<answer>small</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What number of objects are metallic cylinders or large blue cubes? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.8, "y": 0.4, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -2.7, "y": -1.8, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -2.3, "y": -2.9, "z": 0.3}, {"id": 4, "object_name": "cube_1", "x": -1.5, "y": 2.6, "z": 0.3}, {"id": 5, "object_name": "cube_2", "x": 1.0, "y": -0.3, "z": 0.3}]</scene>
<answer>1</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are there an equal number of shiny objects that are behind the big purple sphere and gray matte balls behind the cyan matte object? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -1.9, "y": 0.3, "z": 0.7}, {"id": 2, "object_name": "sphere_2", "x": -1.8, "y": -1.6, "z": 0.7}, {"id": 3, "object_name": "sphere_3", "x": 1.8, "y": -0.7, "z": 0.7}]</scene>
<answer>yes</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are there an equal number of large metal objects that are left of the yellow cylinder and big things that are in front of the big matte cube? | <scene>[{"id": 1, "object_name": "cylinder_1", "x": -1.4, "y": -0.7, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": 1.9, "y": -2.6, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": 1.9, "y": 1.5, "z": 0.7}]</scene>
<answer>no</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
What number of other objects are the same material as the large purple block? | <scene>[{"id": 1, "object_name": "cube_1", "x": -2.2, "y": 2.5, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.8, "y": 0.3, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": 0.3, "y": -2.3, "z": 0.7}, {"id": 4, "object_name": "cube_3", "x": 0.6, "y": 2.1, "z": 0.3}, {"id": 5, "object_name": "sphere_1", "x": 1.9, "y": 0.3, "z": 0.3}, {"id": 6, "object_name": "cylinder_2", "x": 2.3, "y": -2.5, "z": 0.7}, {"id": 7, "object_name": "cylinder_3", "x": 2.9, "y": 2.1, "z": 0.7}]</scene>
<answer>2</answer> |
|
<image>
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
There is a matte thing that is both on the right side of the blue matte object and on the left side of the green cube; what size is it? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -2.5, "y": -2.8, "z": 0.3}, {"id": 2, "object_name": "sphere_2", "x": -2.2, "y": 1.0, "z": 0.3}, {"id": 3, "object_name": "sphere_3", "x": -2.1, "y": 2.8, "z": 0.7}, {"id": 4, "object_name": "cylinder_1", "x": -1.4, "y": -2.1, "z": 0.7}, {"id": 5, "object_name": "cube_1", "x": -0.7, "y": 2.1, "z": 0.3}, {"id": 6, "object_name": "cube_2", "x": 0.2, "y": -1.7, "z": 0.7}, {"id": 7, "object_name": "cylinder_2", "x": 0.4, "y": 2.5, "z": 0.3}, {"id": 8, "object_name": "cube_3", "x": 2.4, "y": 1.6, "z": 0.3}, {"id": 9, "object_name": "cylinder_3", "x": 2.9, "y": -2.5, "z": 0.7}, {"id": 10, "object_name": "cube_4", "x": 3.0, "y": -0.3, "z": 0.7}]</scene>
<answer>small</answer> |
|
## Task Description
You are a highly capable vision-language assistant. You are shown an image depicting a 3D scene with multiple objects. Your task is to:
1. Visually identify the objects present in the scene.
2. Estimate their 3D spatial coordinates (x, y, z) based on the layout and camera viewpoint.
3. Use this spatial understanding to answer the question.
## Scene Information
- Room Dimensions: {'x': 6.0, 'y': 6.0, 'z': 1.0}
- Coordinate Range:
- x and y values range from -3.0 to 3.0, defining the ground plane:
- x represents left (−) to right (+)
- y represents near (−) to far (+) from the camera
- z values represent object height above ground, generally within the range 0.0 to 1.0
- Coordinate Origin: (0, 0, 0) is the center of the room floor.
## Output Format
Begin with your reasoning in the <think> tags. Then list all detected objects and their positions from left to right (sorted by x-coordinate) inside a <scene> block as a JSON array. Use "object_type_{n}" naming format, incrementing n only for duplicates. Finally, place your final answer in the <answer> tag.
Example output:
<think>
I see two cubes and one sphere in the image. From left to right: a red cube, a blue sphere, and another cube. So the total count is 3.
</think>
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.0, "y": -1.5, "z": 0.4}, {"id": 3, "object_name": "cube_2", "x": 2.1, "y": 1.1, "z": 0.7}]</scene>
<answer>3</answer>
## Question
Are there any red matte spheres that have the same size as the red rubber thing? | <scene>[{"id": 1, "object_name": "sphere_1", "x": -0.5, "y": 1.7, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": 2.0, "y": 2.7, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": 2.8, "y": -0.2, "z": 0.3}]</scene>
<answer>no</answer> |
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