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<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 balls of the same color as the rubber cylinder?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": 0.5, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -2.9, "y": -2.7, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": -2.8, "y": -0.6, "z": 0.3}, {"id": 4, "object_name": "cube_1", "x": -2.6, "y": 2.9, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": -0.1, "y": -0.7, "z": 0.7}, {"id": 6, "object_name": "cube_2", "x": 2.1, "y": 0.5, "z": 0.7}, {"id": 7, "object_name": "sphere_3", "x": 2.4, "y": -0.9, "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
How many things are things to the right of the cylinder or tiny cyan rubber cylinders?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -0.8, "y": 0.9, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": 0.6, "y": 1.3, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": 1.4, "y": -1.9, "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
What number of tiny things are behind the brown matte cylinder?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -3.0, "y": -2.8, "z": 0.3}, {"id": 2, "object_name": "cube_2", "x": -1.8, "y": -2.2, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": 0.2, "y": 2.7, "z": 0.3}, {"id": 4, "object_name": "cylinder_1", "x": 0.4, "y": -2.7, "z": 0.3}, {"id": 5, "object_name": "cube_3", "x": 1.3, "y": -1.0, "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 small object that is the same color as the large thing; what material is it?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -0.8, "y": -1.2, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": 0.0, "y": -2.9, "z": 0.3}, {"id": 3, "object_name": "cube_1", "x": 1.7, "y": 0.1, "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 rubber object in front of the tiny red cube; is it the same color as the shiny sphere?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.6, "y": 2.1, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -2.4, "y": -1.3, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -0.8, "y": 1.3, "z": 0.7}, {"id": 4, "object_name": "cube_2", "x": -0.3, "y": -0.7, "z": 0.3}, {"id": 5, "object_name": "sphere_1", "x": -0.0, "y": 2.9, "z": 0.3}, {"id": 6, "object_name": "cube_3", "x": 0.5, "y": -2.0, "z": 0.3}, {"id": 7, "object_name": "cube_4", "x": 0.8, "y": -3.0, "z": 0.3}, {"id": 8, "object_name": "cube_5", "x": 1.7, "y": 0.7, "z": 0.3}, {"id": 9, "object_name": "sphere_2", "x": 2.2, "y": 3.0, "z": 0.3}, {"id": 10, "object_name": "cube_6", "x": 2.9, "y": -1.4, "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 large cube and the tiny purple cube have the same material?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": 0.4, "y": 2.8, "z": 0.7}, {"id": 2, "object_name": "cube_2", "x": 1.0, "y": 1.3, "z": 0.3}, {"id": 3, "object_name": "cube_3", "x": 2.6, "y": 2.2, "z": 0.3}, {"id": 4, "object_name": "sphere_1", "x": 2.8, "y": -2.4, "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 number of cylinders are the same size as the blue object?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.1, "y": -2.6, "z": 0.3}, {"id": 2, "object_name": "sphere_2", "x": -0.8, "y": 2.1, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": 0.3, "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
Are there more things on the left side of the metal sphere than yellow shiny spheres?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.4, "y": 2.5, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -2.4, "y": -1.9, "z": 0.7}, {"id": 3, "object_name": "sphere_2", "x": -1.8, "y": -0.5, "z": 0.3}, {"id": 4, "object_name": "cube_2", "x": -0.6, "y": -2.3, "z": 0.3}, {"id": 5, "object_name": "sphere_3", "x": -0.4, "y": 2.7, "z": 0.3}, {"id": 6, "object_name": "cylinder_1", "x": 0.8, "y": 0.8, "z": 0.3}, {"id": 7, "object_name": "cylinder_2", "x": 1.4, "y": -2.7, "z": 0.3}, {"id": 8, "object_name": "cylinder_3", "x": 2.8, "y": 2.3, "z": 0.3}, {"id": 9, "object_name": "cylinder_4", "x": 2.8, "y": 0.5, "z": 0.3}, {"id": 10, "object_name": "cube_3", "x": 2.9, "y": -2.7, "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
There is a red rubber object to the right of the big gray thing; what is its shape?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.6, "y": 0.3, "z": 0.7}, {"id": 2, "object_name": "cube_2", "x": -2.3, "y": -2.9, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -2.1, "y": -1.4, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": 0.1, "y": 2.0, "z": 0.3}, {"id": 5, "object_name": "cylinder_3", "x": 0.3, "y": -2.9, "z": 0.7}, {"id": 6, "object_name": "cube_3", "x": 1.8, "y": -0.5, "z": 0.3}, {"id": 7, "object_name": "cube_4", "x": 2.2, "y": -1.8, "z": 0.7}, {"id": 8, "object_name": "cube_5", "x": 2.3, "y": 1.3, "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
There is a object that is behind the purple matte object and in front of the tiny yellow rubber cylinder; what color is it?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.1, "y": -0.8, "z": 0.7}, {"id": 2, "object_name": "cube_2", "x": -2.1, "y": -2.6, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": -0.1, "y": 2.2, "z": 0.7}, {"id": 4, "object_name": "cube_3", "x": 1.2, "y": -2.5, "z": 0.7}, {"id": 5, "object_name": "cylinder_1", "x": 1.6, "y": -0.1, "z": 0.3}, {"id": 6, "object_name": "cylinder_2", "x": 2.6, "y": 2.0, "z": 0.3}]</scene>
<answer>brown</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 metallic block that is to the right of the large metal cube; what number of tiny cyan things are to the left of it?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.5, "y": 0.8, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": 0.3, "y": 1.8, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": 0.4, "y": -0.4, "z": 0.7}, {"id": 4, "object_name": "cube_2", "x": 2.2, "y": 2.5, "z": 0.7}, {"id": 5, "object_name": "cube_3", "x": 2.4, "y": -1.1, "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
What size is the other cylinder that is the same color as the tiny metal cylinder?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.6, "y": 0.3, "z": 0.7}, {"id": 2, "object_name": "sphere_2", "x": -2.3, "y": 2.1, "z": 0.7}, {"id": 3, "object_name": "sphere_3", "x": -2.2, "y": -2.8, "z": 0.7}, {"id": 4, "object_name": "cylinder_1", "x": -0.9, "y": -2.8, "z": 0.3}, {"id": 5, "object_name": "cylinder_2", "x": -0.8, "y": 0.1, "z": 0.7}, {"id": 6, "object_name": "cylinder_3", "x": 0.0, "y": -2.6, "z": 0.3}, {"id": 7, "object_name": "cube_1", "x": 0.6, "y": 2.9, "z": 0.3}, {"id": 8, "object_name": "cylinder_4", "x": 1.2, "y": 0.4, "z": 0.7}, {"id": 9, "object_name": "cylinder_5", "x": 2.6, "y": -1.4, "z": 0.3}, {"id": 10, "object_name": "cube_2", "x": 2.8, "y": -0.2, "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
Does the metallic cylinder have the same size as the purple ball to the right of the tiny rubber ball?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.4, "y": -0.1, "z": 0.7}, {"id": 2, "object_name": "sphere_2", "x": -1.7, "y": 2.5, "z": 0.7}, {"id": 3, "object_name": "sphere_3", "x": -1.5, "y": -2.9, "z": 0.7}, {"id": 4, "object_name": "sphere_4", "x": -0.3, "y": 0.4, "z": 0.7}, {"id": 5, "object_name": "sphere_5", "x": 0.7, "y": -1.3, "z": 0.3}, {"id": 6, "object_name": "cylinder_1", "x": 2.8, "y": 2.9, "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
There is a big sphere that is the same color as the small metal cube; what is its material?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.7, "y": 1.6, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -2.0, "y": -1.2, "z": 0.7}, {"id": 3, "object_name": "sphere_2", "x": -0.4, "y": 1.9, "z": 0.3}, {"id": 4, "object_name": "cube_1", "x": 1.2, "y": -2.8, "z": 0.3}, {"id": 5, "object_name": "cylinder_2", "x": 2.0, "y": 2.7, "z": 0.7}, {"id": 6, "object_name": "sphere_3", "x": 2.6, "y": -0.2, "z": 0.7}, {"id": 7, "object_name": "cylinder_3", "x": 2.9, "y": -2.6, "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
How many cyan cylinders are there?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -3.0, "y": -2.3, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -1.9, "y": 2.8, "z": 0.7}, {"id": 3, "object_name": "cube_1", "x": -0.4, "y": -1.3, "z": 0.7}, {"id": 4, "object_name": "cylinder_3", "x": 0.4, "y": 2.6, "z": 0.3}, {"id": 5, "object_name": "cylinder_4", "x": 1.3, "y": -1.5, "z": 0.3}, {"id": 6, "object_name": "cylinder_5", "x": 1.7, "y": 2.1, "z": 0.7}, {"id": 7, "object_name": "sphere_1", "x": 1.9, "y": 0.7, "z": 0.3}, {"id": 8, "object_name": "cube_2", "x": 2.8, "y": -0.7, "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
Are the large green ball and the small red block in front of the brown cylinder made of the same material?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": -0.9, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -2.8, "y": -2.3, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": -1.4, "y": 2.8, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": -1.0, "y": -0.9, "z": 0.3}, {"id": 5, "object_name": "cube_2", "x": -0.8, "y": 0.8, "z": 0.3}, {"id": 6, "object_name": "cube_3", "x": 0.1, "y": -2.7, "z": 0.3}, {"id": 7, "object_name": "sphere_2", "x": 0.9, "y": -0.1, "z": 0.7}, {"id": 8, "object_name": "cylinder_3", "x": 1.4, "y": -2.0, "z": 0.7}, {"id": 9, "object_name": "sphere_3", "x": 2.5, "y": 0.9, "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
The blue shiny thing is what size?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -3.0, "y": 1.4, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -2.8, "y": -0.3, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -2.7, "y": -2.3, "z": 0.7}, {"id": 4, "object_name": "cube_2", "x": -1.7, "y": 2.0, "z": 0.7}, {"id": 5, "object_name": "cylinder_2", "x": -1.1, "y": 0.5, "z": 0.3}, {"id": 6, "object_name": "cylinder_3", "x": -1.0, "y": -2.8, "z": 0.3}, {"id": 7, "object_name": "cube_3", "x": -0.9, "y": -1.3, "z": 0.3}, {"id": 8, "object_name": "sphere_2", "x": 2.1, "y": 1.5, "z": 0.3}, {"id": 9, "object_name": "sphere_3", "x": 2.4, "y": -0.7, "z": 0.3}]</scene>
<answer>large</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 large shiny thing that is in front of the large object that is on the left side of the purple object; is there a tiny red matte block that is right of it?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.5, "y": -0.3, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -0.5, "y": -1.1, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": 2.1, "y": -1.6, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": 2.1, "y": 0.4, "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
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
What is the shape of the small shiny object that is the same color as the tiny matte block?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": 0.6, "z": 0.3}, {"id": 2, "object_name": "sphere_2", "x": -2.7, "y": -2.6, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": -2.0, "y": 2.9, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": -1.9, "y": 0.4, "z": 0.3}, {"id": 5, "object_name": "cylinder_2", "x": -1.4, "y": -2.8, "z": 0.3}, {"id": 6, "object_name": "cube_2", "x": 0.1, "y": -2.9, "z": 0.3}, {"id": 7, "object_name": "cylinder_3", "x": 0.5, "y": 0.2, "z": 0.3}, {"id": 8, "object_name": "cylinder_4", "x": 0.8, "y": -1.3, "z": 0.7}, {"id": 9, "object_name": "cube_3", "x": 1.3, "y": 2.7, "z": 0.3}, {"id": 10, "object_name": "sphere_3", "x": 2.9, "y": -0.6, "z": 0.7}]</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
Does the gray shiny cylinder have the same size as the gray metal ball?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.7, "y": 2.9, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -2.0, "y": -1.9, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": -1.7, "y": 1.5, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": -0.2, "y": 1.5, "z": 0.3}, {"id": 5, "object_name": "cylinder_3", "x": 0.0, "y": -2.6, "z": 0.7}, {"id": 6, "object_name": "sphere_2", "x": 0.3, "y": 2.9, "z": 0.7}, {"id": 7, "object_name": "cylinder_4", "x": 1.7, "y": -2.8, "z": 0.3}, {"id": 8, "object_name": "cube_2", "x": 2.7, "y": -0.1, "z": 0.3}, {"id": 9, "object_name": "cylinder_5", "x": 2.8, "y": 1.7, "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 matte ball that is the same size as the green object is what color?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.6, "y": 0.4, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.7, "y": 2.6, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": -0.7, "y": -2.6, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": -0.4, "y": 0.7, "z": 0.3}, {"id": 5, "object_name": "sphere_3", "x": -0.3, "y": 2.2, "z": 0.3}, {"id": 6, "object_name": "sphere_4", "x": -0.0, "y": -1.3, "z": 0.3}, {"id": 7, "object_name": "sphere_5", "x": 2.1, "y": 2.7, "z": 0.3}, {"id": 8, "object_name": "sphere_6", "x": 2.2, "y": -2.3, "z": 0.3}, {"id": 9, "object_name": "cube_2", "x": 2.9, "y": 0.4, "z": 0.7}]</scene>
<answer>red</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 blue matte objects have the same shape as the purple object?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.4, "y": -1.7, "z": 0.3}, {"id": 2, "object_name": "cylinder_2", "x": -2.0, "y": 0.6, "z": 0.3}, {"id": 3, "object_name": "cube_1", "x": -0.8, "y": 1.2, "z": 0.7}, {"id": 4, "object_name": "sphere_1", "x": 0.1, "y": -2.0, "z": 0.7}, {"id": 5, "object_name": "cube_2", "x": 2.4, "y": -2.4, "z": 0.3}, {"id": 6, "object_name": "cube_3", "x": 2.4, "y": 0.0, "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 color is the cylinder that is made of the same material as the big brown thing?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.5, "y": 1.4, "z": 0.3}, {"id": 2, "object_name": "cylinder_2", "x": -1.8, "y": -2.0, "z": 0.3}, {"id": 3, "object_name": "cylinder_3", "x": -1.2, "y": -0.7, "z": 0.3}, {"id": 4, "object_name": "cube_1", "x": -0.6, "y": 2.0, "z": 0.3}, {"id": 5, "object_name": "sphere_1", "x": 0.8, "y": 3.0, "z": 0.3}, {"id": 6, "object_name": "sphere_2", "x": 1.0, "y": -0.9, "z": 0.7}, {"id": 7, "object_name": "cube_2", "x": 2.6, "y": -1.5, "z": 0.3}, {"id": 8, "object_name": "cylinder_4", "x": 2.6, "y": 0.2, "z": 0.3}, {"id": 9, "object_name": "cylinder_5", "x": 2.7, "y": 2.4, "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
What size is the purple sphere that is the same material as the large red cube?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -1.8, "y": 2.8, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.4, "y": -2.0, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -0.7, "y": 1.3, "z": 0.3}, {"id": 4, "object_name": "sphere_1", "x": -0.7, "y": -0.3, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": -0.3, "y": 2.8, "z": 0.3}, {"id": 6, "object_name": "sphere_3", "x": -0.1, "y": -1.6, "z": 0.3}, {"id": 7, "object_name": "sphere_4", "x": 0.1, "y": -2.7, "z": 0.3}, {"id": 8, "object_name": "sphere_5", "x": 1.3, "y": 2.7, "z": 0.3}, {"id": 9, "object_name": "cylinder_2", "x": 2.4, "y": -2.0, "z": 0.3}, {"id": 10, "object_name": "cylinder_3", "x": 2.7, "y": 1.0, "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
There is a cyan sphere that is the same material as the yellow object; what is its size?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.2, "y": -2.0, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -1.8, "y": 0.4, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -0.4, "y": -2.4, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": 1.6, "y": -1.7, "z": 0.7}, {"id": 5, "object_name": "cylinder_1", "x": 2.7, "y": 2.6, "z": 0.7}]</scene>
<answer>large</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 tiny rubber ball and the small metallic cube have the same color?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.8, "y": 0.2, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -2.4, "y": -1.8, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": -1.7, "y": 2.9, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": -0.2, "y": -2.9, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": 0.1, "y": -1.1, "z": 0.3}, {"id": 6, "object_name": "cylinder_3", "x": 0.2, "y": 2.1, "z": 0.3}, {"id": 7, "object_name": "cube_2", "x": 2.4, "y": 3.0, "z": 0.7}, {"id": 8, "object_name": "cube_3", "x": 2.6, "y": -1.6, "z": 0.3}, {"id": 9, "object_name": "cube_4", "x": 2.7, "y": 1.1, "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 brown balls that have the same material as the big brown thing?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -1.9, "y": 2.0, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.8, "y": 0.2, "z": 0.7}, {"id": 3, "object_name": "cube_1", "x": -0.5, "y": -2.0, "z": 0.3}, {"id": 4, "object_name": "cube_2", "x": -0.2, "y": -0.6, "z": 0.3}, {"id": 5, "object_name": "cube_3", "x": 0.4, "y": 2.1, "z": 0.7}, {"id": 6, "object_name": "sphere_2", "x": 2.0, "y": -0.5, "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 blue metal object; does it have the same shape as the tiny gray metal thing that is behind the big blue shiny thing?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.6, "y": 2.4, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -2.5, "y": -1.6, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": -2.3, "y": -2.9, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": -0.4, "y": 1.6, "z": 0.3}, {"id": 5, "object_name": "sphere_3", "x": 0.5, "y": -2.0, "z": 0.3}, {"id": 6, "object_name": "sphere_4", "x": 2.0, "y": 2.9, "z": 0.3}, {"id": 7, "object_name": "cylinder_3", "x": 2.3, "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
There is a tiny metal sphere in front of the blue thing on the left side of the tiny blue thing; are there any small gray rubber cylinders in front of it?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.4, "y": -2.5, "z": 0.3}, {"id": 2, "object_name": "cylinder_2", "x": -1.6, "y": -0.7, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": -0.8, "y": 2.4, "z": 0.3}, {"id": 4, "object_name": "cylinder_3", "x": -0.3, "y": -2.6, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": 0.8, "y": 0.3, "z": 0.7}, {"id": 6, "object_name": "sphere_3", "x": 2.3, "y": -1.7, "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
What is the color of the sphere to the left of the ball that is behind the large rubber cube?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -1.7, "y": -2.8, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.3, "y": -0.7, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -1.2, "y": 1.3, "z": 0.7}, {"id": 4, "object_name": "sphere_1", "x": 0.7, "y": -0.9, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": 1.8, "y": 1.9, "z": 0.7}]</scene>
<answer>red</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 metallic objects are large red things or large purple spheres?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.7, "y": 3.0, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -2.1, "y": -0.4, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -1.8, "y": 1.3, "z": 0.7}, {"id": 4, "object_name": "cube_3", "x": -1.6, "y": -2.7, "z": 0.3}, {"id": 5, "object_name": "cylinder_2", "x": 0.7, "y": 1.3, "z": 0.7}, {"id": 6, "object_name": "sphere_1", "x": 1.1, "y": -2.5, "z": 0.7}, {"id": 7, "object_name": "sphere_2", "x": 2.1, "y": -0.5, "z": 0.7}, {"id": 8, "object_name": "cube_4", "x": 2.8, "y": 1.6, "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 other things are there of the same material as the tiny yellow object
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -1.8, "y": -1.2, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -1.5, "y": 2.7, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": -0.7, "y": -2.9, "z": 0.3}, {"id": 4, "object_name": "cube_1", "x": -0.4, "y": 1.3, "z": 0.3}, {"id": 5, "object_name": "cylinder_2", "x": -0.2, "y": -0.4, "z": 0.7}, {"id": 6, "object_name": "cylinder_3", "x": -0.0, "y": 3.0, "z": 0.7}, {"id": 7, "object_name": "sphere_3", "x": 0.8, "y": -2.7, "z": 0.7}, {"id": 8, "object_name": "cylinder_4", "x": 2.4, "y": -0.0, "z": 0.7}, {"id": 9, "object_name": "cylinder_5", "x": 2.4, "y": 2.0, "z": 0.3}, {"id": 10, "object_name": "sphere_4", "x": 2.7, "y": -2.1, "z": 0.3}]</scene>
<answer>5</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 rubber object that is in front of the metal block and behind the blue matte cylinder; what is its size?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -3.0, "y": 0.2, "z": 0.7}, {"id": 2, "object_name": "cube_2", "x": -2.2, "y": 2.0, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": -1.6, "y": -2.3, "z": 0.3}, {"id": 4, "object_name": "sphere_1", "x": -0.2, "y": -1.5, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": 0.3, "y": 0.9, "z": 0.7}, {"id": 6, "object_name": "sphere_3", "x": 0.8, "y": 2.9, "z": 0.7}]</scene>
<answer>large</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 green cube that is to the left of the small red thing that is behind the big cylinder on the right side of the big yellow matte cylinder; what is its material?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.8, "y": -1.2, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -2.7, "y": -2.8, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -2.6, "y": 0.5, "z": 0.7}, {"id": 4, "object_name": "sphere_1", "x": -2.6, "y": 2.0, "z": 0.3}, {"id": 5, "object_name": "cube_2", "x": -1.2, "y": 1.5, "z": 0.3}, {"id": 6, "object_name": "cylinder_3", "x": -0.4, "y": -2.6, "z": 0.3}, {"id": 7, "object_name": "sphere_2", "x": 0.3, "y": -1.1, "z": 0.3}, {"id": 8, "object_name": "cube_3", "x": 2.6, "y": 0.1, "z": 0.3}, {"id": 9, "object_name": "cube_4", "x": 2.9, "y": 2.6, "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
Do the gray object that is to the left of the big cyan matte thing and the small cylinder have the same material?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.6, "y": 2.9, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -2.5, "y": -0.7, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -2.4, "y": 1.4, "z": 0.3}, {"id": 4, "object_name": "cube_3", "x": -1.3, "y": -2.8, "z": 0.3}, {"id": 5, "object_name": "cube_4", "x": -0.8, "y": -1.3, "z": 0.7}, {"id": 6, "object_name": "cube_5", "x": -0.8, "y": 1.9, "z": 0.7}, {"id": 7, "object_name": "sphere_1", "x": 0.9, "y": -2.0, "z": 0.3}, {"id": 8, "object_name": "sphere_2", "x": 1.0, "y": 1.8, "z": 0.3}, {"id": 9, "object_name": "cylinder_2", "x": 2.7, "y": 1.2, "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
How many yellow things are made of the same material as the large blue object?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.9, "y": -2.4, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.8, "y": 1.0, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -0.7, "y": -2.8, "z": 0.3}, {"id": 4, "object_name": "cube_3", "x": 0.2, "y": 1.8, "z": 0.7}, {"id": 5, "object_name": "cylinder_2", "x": 0.5, "y": -0.1, "z": 0.7}, {"id": 6, "object_name": "cylinder_3", "x": 1.5, "y": -2.6, "z": 0.3}, {"id": 7, "object_name": "cylinder_4", "x": 1.9, "y": 2.2, "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
Is there a cyan shiny ball that has the same size as the yellow rubber cylinder?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -1.7, "y": -1.6, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -0.6, "y": 1.2, "z": 0.7}, {"id": 3, "object_name": "cube_1", "x": 0.0, "y": -2.2, "z": 0.3}, {"id": 4, "object_name": "cube_2", "x": 1.6, "y": 1.3, "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 the same number of tiny blue matte balls in front of the blue matte ball and large metal objects behind the purple rubber thing?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.7, "y": -0.4, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": 0.4, "y": -2.0, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": 1.1, "y": 2.5, "z": 0.3}, {"id": 4, "object_name": "sphere_1", "x": 2.6, "y": 2.7, "z": 0.3}, {"id": 5, "object_name": "cylinder_3", "x": 2.7, "y": -2.5, "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 yellow object that is the same material as the red thing?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -1.1, "y": 0.7, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": 0.8, "y": -2.3, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": 1.4, "y": 2.8, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": 2.7, "y": 2.8, "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
Are there more gray things than gray rubber blocks?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": 2.8, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -2.2, "y": -0.8, "z": 0.7}, {"id": 3, "object_name": "cube_1", "x": 2.1, "y": 1.1, "z": 0.7}, {"id": 4, "object_name": "sphere_2", "x": 2.9, "y": -0.5, "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 cyan thing that is the same size as the blue metallic sphere; what is its material?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.2, "y": -0.9, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -1.8, "y": 1.8, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": 0.6, "y": 0.8, "z": 0.7}, {"id": 4, "object_name": "cube_2", "x": 2.4, "y": 0.4, "z": 0.7}, {"id": 5, "object_name": "sphere_3", "x": 2.5, "y": -3.0, "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 an equal number of tiny metallic things behind the small green rubber ball and large rubber things that are in front of the small gray ball?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.9, "y": -2.3, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -2.7, "y": 2.7, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -2.6, "y": 1.2, "z": 0.3}, {"id": 4, "object_name": "cylinder_3", "x": -0.3, "y": -1.5, "z": 0.3}, {"id": 5, "object_name": "cylinder_4", "x": 0.0, "y": -2.6, "z": 0.3}, {"id": 6, "object_name": "cube_1", "x": 0.1, "y": 1.8, "z": 0.3}, {"id": 7, "object_name": "sphere_2", "x": 1.5, "y": 2.1, "z": 0.3}, {"id": 8, "object_name": "cylinder_5", "x": 1.5, "y": -0.2, "z": 0.3}, {"id": 9, "object_name": "cube_2", "x": 2.1, "y": -2.1, "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
There is a cyan sphere to the left of the large brown rubber cylinder; how big is it?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.8, "y": 2.8, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -2.8, "y": -1.4, "z": 0.3}, {"id": 3, "object_name": "cube_1", "x": -2.4, "y": -2.8, "z": 0.7}, {"id": 4, "object_name": "cylinder_3", "x": -0.4, "y": -1.1, "z": 0.3}, {"id": 5, "object_name": "cube_2", "x": 1.0, "y": 2.2, "z": 0.3}, {"id": 6, "object_name": "sphere_1", "x": 2.1, "y": 0.0, "z": 0.7}, {"id": 7, "object_name": "sphere_2", "x": 2.6, "y": 1.8, "z": 0.3}, {"id": 8, "object_name": "sphere_3", "x": 2.7, "y": -2.8, "z": 0.7}, {"id": 9, "object_name": "sphere_4", "x": 3.0, "y": -1.4, "z": 0.3}]</scene>
<answer>large</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 another big thing that is the same color as the rubber thing; what is its material?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.1, "y": -1.7, "z": 0.7}, {"id": 2, "object_name": "sphere_2", "x": -1.8, "y": -0.1, "z": 0.3}, {"id": 3, "object_name": "sphere_3", "x": 0.1, "y": 0.2, "z": 0.7}, {"id": 4, "object_name": "sphere_4", "x": 1.4, "y": -1.7, "z": 0.7}, {"id": 5, "object_name": "sphere_5", "x": 2.1, "y": 1.8, "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 number of other objects are there of the same shape as the big yellow object?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -0.5, "y": -1.5, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": 0.1, "y": 0.8, "z": 0.3}, {"id": 3, "object_name": "cube_1", "x": 0.8, "y": 2.6, "z": 0.3}, {"id": 4, "object_name": "cube_2", "x": 1.4, "y": -1.4, "z": 0.3}, {"id": 5, "object_name": "sphere_2", "x": 2.5, "y": 2.9, "z": 0.7}]</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
There is a big cylinder that is both on the right side of the big gray thing and to the left of the large red block; what is its color?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.7, "y": -1.1, "z": 0.7}, {"id": 2, "object_name": "cylinder_2", "x": -2.1, "y": 2.7, "z": 0.7}, {"id": 3, "object_name": "sphere_1", "x": -1.0, "y": -1.0, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": -0.4, "y": 0.7, "z": 0.3}, {"id": 5, "object_name": "cube_1", "x": -0.2, "y": 2.5, "z": 0.3}, {"id": 6, "object_name": "cylinder_3", "x": -0.0, "y": -2.8, "z": 0.3}, {"id": 7, "object_name": "sphere_3", "x": 0.1, "y": -1.3, "z": 0.3}, {"id": 8, "object_name": "cylinder_4", "x": 2.4, "y": -2.6, "z": 0.3}, {"id": 9, "object_name": "cube_2", "x": 2.6, "y": -0.5, "z": 0.7}, {"id": 10, "object_name": "cylinder_5", "x": 3.0, "y": 2.6, "z": 0.7}]</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
There is a cyan sphere that is the same size as the metal cylinder; what is its material?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": 2.3, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -1.5, "y": 1.8, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -1.4, "y": -0.8, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": -0.3, "y": 2.3, "z": 0.7}, {"id": 5, "object_name": "sphere_3", "x": -0.0, "y": -2.8, "z": 0.3}, {"id": 6, "object_name": "cube_2", "x": 0.0, "y": -0.9, "z": 0.3}, {"id": 7, "object_name": "cube_3", "x": 2.1, "y": 2.3, "z": 0.3}, {"id": 8, "object_name": "cube_4", "x": 2.3, "y": -0.9, "z": 0.3}, {"id": 9, "object_name": "cylinder_2", "x": 2.4, "y": 0.9, "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
The cyan matte object that is the same size as the metallic cube is what shape?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -1.8, "y": -1.2, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -1.5, "y": 2.7, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": -0.7, "y": -2.9, "z": 0.3}, {"id": 4, "object_name": "cube_1", "x": -0.4, "y": 1.3, "z": 0.3}, {"id": 5, "object_name": "cylinder_2", "x": -0.2, "y": -0.4, "z": 0.7}, {"id": 6, "object_name": "cylinder_3", "x": -0.0, "y": 3.0, "z": 0.7}, {"id": 7, "object_name": "sphere_3", "x": 0.8, "y": -2.7, "z": 0.7}, {"id": 8, "object_name": "cylinder_4", "x": 2.4, "y": -0.0, "z": 0.7}, {"id": 9, "object_name": "cylinder_5", "x": 2.4, "y": 2.0, "z": 0.3}, {"id": 10, "object_name": "sphere_4", "x": 2.7, "y": -2.1, "z": 0.3}]</scene>
<answer>sphere</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; are there any big red things on the left side of it?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.5, "y": 2.9, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -2.2, "y": 0.3, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -1.6, "y": -0.9, "z": 0.7}, {"id": 4, "object_name": "cube_2", "x": -1.4, "y": -2.6, "z": 0.7}, {"id": 5, "object_name": "cube_3", "x": -1.3, "y": 2.4, "z": 0.3}, {"id": 6, "object_name": "sphere_2", "x": 0.3, "y": 2.4, "z": 0.3}, {"id": 7, "object_name": "sphere_3", "x": 1.0, "y": -1.1, "z": 0.7}, {"id": 8, "object_name": "cylinder_2", "x": 1.9, "y": -2.4, "z": 0.7}, {"id": 9, "object_name": "cube_4", "x": 2.4, "y": 2.6, "z": 0.7}, {"id": 10, "object_name": "sphere_4", "x": 2.8, "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
Are there any blocks of the same color as the large metallic thing?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.7, "y": 0.9, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -0.7, "y": -2.2, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -0.3, "y": 0.2, "z": 0.3}, {"id": 4, "object_name": "sphere_1", "x": 0.3, "y": 2.2, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": 0.7, "y": -2.8, "z": 0.3}, {"id": 6, "object_name": "cylinder_2", "x": 1.0, "y": 0.8, "z": 0.3}, {"id": 7, "object_name": "cube_3", "x": 2.9, "y": 0.7, "z": 0.7}, {"id": 8, "object_name": "cube_4", "x": 3.0, "y": -1.8, "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
What number of gray things are either small blocks or rubber things?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.7, "y": 1.9, "z": 0.3}, {"id": 2, "object_name": "cube_2", "x": -0.5, "y": -0.9, "z": 0.3}, {"id": 3, "object_name": "cube_3", "x": -0.1, "y": 2.8, "z": 0.3}, {"id": 4, "object_name": "cylinder_1", "x": 2.1, "y": -0.0, "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
What shape is the rubber thing behind the brown object?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": 0.9, "y": 2.1, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": 1.2, "y": -2.7, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": 2.3, "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
There is a gray sphere that is the same size as the shiny cylinder; what material is it?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -3.0, "y": -0.8, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -2.6, "y": -2.6, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -2.0, "y": 2.9, "z": 0.7}, {"id": 4, "object_name": "sphere_2", "x": -2.0, "y": 1.6, "z": 0.3}, {"id": 5, "object_name": "sphere_3", "x": -0.0, "y": 1.8, "z": 0.3}, {"id": 6, "object_name": "sphere_4", "x": -0.0, "y": -1.1, "z": 0.7}, {"id": 7, "object_name": "sphere_5", "x": 0.8, "y": -2.6, "z": 0.3}, {"id": 8, "object_name": "sphere_6", "x": 1.4, "y": 2.8, "z": 0.7}, {"id": 9, "object_name": "cube_1", "x": 2.4, "y": -1.6, "z": 0.3}, {"id": 10, "object_name": "cylinder_3", "x": 2.5, "y": 1.0, "z": 0.3}]</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
What shape is the metallic object that is on the left side of the small cyan cube and to the right of the big rubber cylinder?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.8, "y": 1.7, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -2.4, "y": -0.7, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -1.2, "y": 2.3, "z": 0.7}, {"id": 4, "object_name": "cube_3", "x": -0.6, "y": -0.8, "z": 0.3}, {"id": 5, "object_name": "sphere_2", "x": 0.1, "y": 2.8, "z": 0.3}, {"id": 6, "object_name": "cylinder_1", "x": 0.3, "y": -2.3, "z": 0.7}, {"id": 7, "object_name": "cube_4", "x": 0.5, "y": 1.9, "z": 0.3}, {"id": 8, "object_name": "cylinder_2", "x": 1.7, "y": 2.6, "z": 0.3}, {"id": 9, "object_name": "cylinder_3", "x": 2.1, "y": -1.3, "z": 0.7}, {"id": 10, "object_name": "cube_5", "x": 2.9, "y": 2.5, "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
How many things are both in front of the cyan shiny cube and to the right of the tiny yellow ball?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.7, "y": 0.6, "z": 0.7}, {"id": 2, "object_name": "sphere_1", "x": -2.5, "y": -2.6, "z": 0.3}, {"id": 3, "object_name": "sphere_2", "x": 0.7, "y": -1.2, "z": 0.7}, {"id": 4, "object_name": "sphere_3", "x": 2.7, "y": -1.1, "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
Is the number of big yellow objects in front of the small brown thing greater than the number of tiny metallic objects that are to the right of the large yellow matte thing?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -0.8, "y": 2.3, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -0.6, "y": 0.2, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": 2.6, "y": 2.3, "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
What number of other things are there of the same size as the purple block?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -3.0, "y": 1.4, "z": 0.7}, {"id": 2, "object_name": "sphere_2", "x": -2.1, "y": -2.2, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": -1.2, "y": 0.9, "z": 0.7}, {"id": 4, "object_name": "sphere_3", "x": -0.4, "y": -2.4, "z": 0.3}, {"id": 5, "object_name": "cube_1", "x": 1.1, "y": 2.5, "z": 0.3}, {"id": 6, "object_name": "cube_2", "x": 1.1, "y": 0.1, "z": 0.3}, {"id": 7, "object_name": "cylinder_2", "x": 1.2, "y": -1.7, "z": 0.7}, {"id": 8, "object_name": "sphere_4", "x": 2.9, "y": -0.5, "z": 0.7}, {"id": 9, "object_name": "cylinder_3", "x": 2.9, "y": 2.9, "z": 0.3}, {"id": 10, "object_name": "cylinder_4", "x": 3.0, "y": -2.2, "z": 0.7}]</scene>
<answer>3</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 in front of the gray cylinder; is its size the same as the large purple cube?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.2, "y": -2.5, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -2.1, "y": -1.1, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": -1.9, "y": 1.1, "z": 0.3}, {"id": 4, "object_name": "cube_1", "x": -0.3, "y": -1.4, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": 0.8, "y": 1.5, "z": 0.7}, {"id": 6, "object_name": "cylinder_3", "x": 1.1, "y": -0.6, "z": 0.3}, {"id": 7, "object_name": "cube_2", "x": 1.2, "y": -2.2, "z": 0.3}, {"id": 8, "object_name": "cylinder_4", "x": 2.9, "y": 0.5, "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 small cylinder that is the same material as the block is what color?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -1.6, "y": -2.5, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -0.9, "y": 0.1, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": 2.0, "y": -1.6, "z": 0.3}]</scene>
<answer>brown</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 size is the other brown object that is made of the same material as the large object?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.1, "y": -2.7, "z": 0.3}, {"id": 2, "object_name": "sphere_2", "x": -1.6, "y": 1.2, "z": 0.3}, {"id": 3, "object_name": "sphere_3", "x": -0.8, "y": -2.8, "z": 0.3}, {"id": 4, "object_name": "cylinder_1", "x": 0.6, "y": 1.9, "z": 0.7}, {"id": 5, "object_name": "cylinder_2", "x": 0.8, "y": -1.7, "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 there more large blue things than purple matte balls?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": 2.7, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -2.7, "y": 0.3, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -2.7, "y": -1.2, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": -1.5, "y": -1.7, "z": 0.3}, {"id": 5, "object_name": "cube_1", "x": -0.5, "y": 2.2, "z": 0.3}, {"id": 6, "object_name": "sphere_3", "x": 0.8, "y": 1.6, "z": 0.3}, {"id": 7, "object_name": "cylinder_3", "x": 1.7, "y": -0.6, "z": 0.3}, {"id": 8, "object_name": "sphere_4", "x": 2.4, "y": 0.8, "z": 0.3}, {"id": 9, "object_name": "cylinder_4", "x": 2.8, "y": -2.9, "z": 0.7}, {"id": 10, "object_name": "sphere_5", "x": 3.0, "y": 2.6, "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
There is a cyan thing; are there any large spheres behind it?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.8, "y": -0.5, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -1.8, "y": 2.5, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -0.8, "y": 0.1, "z": 0.7}, {"id": 4, "object_name": "sphere_2", "x": 0.2, "y": 2.1, "z": 0.7}, {"id": 5, "object_name": "sphere_3", "x": 2.5, "y": 1.1, "z": 0.7}, {"id": 6, "object_name": "sphere_4", "x": 3.0, "y": 3.0, "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
Are there more small yellow metal objects than big yellow matte things?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.7, "y": -1.5, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -2.7, "y": -0.0, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -2.3, "y": -2.9, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": -2.3, "y": 2.4, "z": 0.7}, {"id": 5, "object_name": "cube_3", "x": -1.3, "y": 0.8, "z": 0.3}, {"id": 6, "object_name": "cube_4", "x": 0.7, "y": -1.6, "z": 0.3}, {"id": 7, "object_name": "cube_5", "x": 1.3, "y": 1.9, "z": 0.3}, {"id": 8, "object_name": "sphere_1", "x": 2.4, "y": -0.6, "z": 0.7}, {"id": 9, "object_name": "cylinder_3", "x": 2.7, "y": 1.9, "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 thing on the right side of the small rubber object that is in front of the large metallic thing?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": 0.2, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -0.9, "y": 0.3, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": 2.2, "y": 2.2, "z": 0.7}, {"id": 4, "object_name": "sphere_2", "x": 2.7, "y": -0.2, "z": 0.3}]</scene>
<answer>cyan</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 metal object; what number of big metal cylinders are in front of it?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -1.7, "y": -1.7, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -0.4, "y": 2.9, "z": 0.3}, {"id": 3, "object_name": "cube_1", "x": -0.2, "y": 0.8, "z": 0.3}, {"id": 4, "object_name": "cube_2", "x": -0.1, "y": 1.8, "z": 0.3}, {"id": 5, "object_name": "cylinder_2", "x": 0.1, "y": -2.4, "z": 0.7}, {"id": 6, "object_name": "sphere_2", "x": 0.6, "y": -1.1, "z": 0.3}, {"id": 7, "object_name": "cube_3", "x": 2.5, "y": 2.4, "z": 0.7}]</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
There is a rubber cylinder right of the small red metal ball; what size is it?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.9, "y": 1.0, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -2.8, "y": -0.1, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": -2.7, "y": -1.5, "z": 0.3}, {"id": 4, "object_name": "cylinder_2", "x": -2.0, "y": 2.9, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": -0.2, "y": 2.0, "z": 0.3}, {"id": 6, "object_name": "cylinder_3", "x": 1.1, "y": 2.3, "z": 0.3}, {"id": 7, "object_name": "sphere_3", "x": 1.4, "y": -0.8, "z": 0.3}, {"id": 8, "object_name": "cylinder_4", "x": 2.0, "y": -2.5, "z": 0.7}, {"id": 9, "object_name": "cube_2", "x": 2.9, "y": 2.9, "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
Does the gray cylinder have the same material as the yellow object on the right side of the brown thing?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.9, "y": 1.6, "z": 0.7}, {"id": 2, "object_name": "cube_1", "x": -2.8, "y": -0.4, "z": 0.7}, {"id": 3, "object_name": "cube_2", "x": -1.2, "y": -2.6, "z": 0.7}, {"id": 4, "object_name": "cube_3", "x": -0.0, "y": -0.0, "z": 0.7}, {"id": 5, "object_name": "cube_4", "x": 0.5, "y": -2.3, "z": 0.3}, {"id": 6, "object_name": "cylinder_2", "x": 0.7, "y": 1.8, "z": 0.3}, {"id": 7, "object_name": "cube_5", "x": 2.3, "y": 2.1, "z": 0.3}, {"id": 8, "object_name": "sphere_1", "x": 2.6, "y": 1.0, "z": 0.3}, {"id": 9, "object_name": "cylinder_3", "x": 2.7, "y": -0.5, "z": 0.3}, {"id": 10, "object_name": "cylinder_4", "x": 2.9, "y": -1.8, "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 purple matte cylinders greater than the number of small metallic cylinders?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.4, "y": -2.0, "z": 0.7}, {"id": 2, "object_name": "cylinder_1", "x": -1.9, "y": -0.7, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": -1.5, "y": 0.8, "z": 0.3}, {"id": 4, "object_name": "sphere_2", "x": -1.3, "y": 2.6, "z": 0.7}, {"id": 5, "object_name": "cube_2", "x": -0.2, "y": -2.9, "z": 0.3}, {"id": 6, "object_name": "cube_3", "x": 1.0, "y": -0.4, "z": 0.7}, {"id": 7, "object_name": "cube_4", "x": 1.6, "y": -3.0, "z": 0.7}, {"id": 8, "object_name": "cube_5", "x": 1.6, "y": 1.8, "z": 0.7}, {"id": 9, "object_name": "cube_6", "x": 2.8, "y": -0.3, "z": 0.7}, {"id": 10, "object_name": "cylinder_2", "x": 2.8, "y": 2.4, "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 tiny yellow thing that is the same material as the large red cube is what shape?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.6, "y": -1.5, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -2.4, "y": -0.2, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": -1.6, "y": 2.3, "z": 0.7}, {"id": 4, "object_name": "cylinder_3", "x": -1.2, "y": -2.2, "z": 0.3}, {"id": 5, "object_name": "cube_2", "x": -1.1, "y": -0.8, "z": 0.3}, {"id": 6, "object_name": "sphere_1", "x": 0.7, "y": -0.8, "z": 0.7}, {"id": 7, "object_name": "cube_3", "x": 1.2, "y": -2.1, "z": 0.3}, {"id": 8, "object_name": "sphere_2", "x": 1.2, "y": 1.2, "z": 0.7}, {"id": 9, "object_name": "cylinder_4", "x": 2.8, "y": 0.7, "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
What material is the object that is in front of the small purple thing?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.7, "y": 2.4, "z": 0.7}, {"id": 2, "object_name": "cube_2", "x": -1.1, "y": -0.4, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": 0.6, "y": 2.9, "z": 0.7}, {"id": 4, "object_name": "cylinder_2", "x": 2.0, "y": 1.0, "z": 0.7}, {"id": 5, "object_name": "sphere_1", "x": 2.6, "y": -0.5, "z": 0.3}, {"id": 6, "object_name": "cylinder_3", "x": 2.6, "y": 3.0, "z": 0.3}, {"id": 7, "object_name": "sphere_2", "x": 2.7, "y": -2.9, "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 ball that is the same size as the cyan thing; what color is it?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -1.8, "y": -3.0, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": -1.7, "y": 2.7, "z": 0.7}, {"id": 3, "object_name": "cylinder_2", "x": -1.5, "y": 0.2, "z": 0.3}, {"id": 4, "object_name": "cylinder_3", "x": -0.5, "y": -2.8, "z": 0.7}, {"id": 5, "object_name": "cylinder_4", "x": 1.2, "y": 1.3, "z": 0.7}, {"id": 6, "object_name": "sphere_1", "x": 2.7, "y": -1.9, "z": 0.7}]</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
There is a big green thing left of the rubber object that is right of the small thing to the right of the tiny shiny object; what is its shape?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -2.0, "y": -1.6, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -0.3, "y": -2.1, "z": 0.3}, {"id": 3, "object_name": "cube_1", "x": 0.5, "y": 2.9, "z": 0.7}, {"id": 4, "object_name": "sphere_2", "x": 1.7, "y": -3.0, "z": 0.7}]</scene>
<answer>sphere</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 small matte thing that is on the right side of the green rubber sphere has what shape?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -3.0, "y": 2.9, "z": 0.3}, {"id": 2, "object_name": "cylinder_2", "x": -2.9, "y": -1.2, "z": 0.3}, {"id": 3, "object_name": "sphere_1", "x": -2.8, "y": 0.5, "z": 0.7}, {"id": 4, "object_name": "sphere_2", "x": -1.6, "y": 2.6, "z": 0.3}, {"id": 5, "object_name": "sphere_3", "x": -0.7, "y": -2.3, "z": 0.7}, {"id": 6, "object_name": "sphere_4", "x": -0.6, "y": 0.1, "z": 0.7}, {"id": 7, "object_name": "cube_1", "x": -0.2, "y": 2.6, "z": 0.7}, {"id": 8, "object_name": "cylinder_3", "x": 0.8, "y": -1.8, "z": 0.3}, {"id": 9, "object_name": "cylinder_4", "x": 1.3, "y": 0.7, "z": 0.7}, {"id": 10, "object_name": "sphere_5", "x": 1.7, "y": 2.1, "z": 0.3}]</scene>
<answer>sphere</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 metallic cylinder that is in front of the large object that is behind the brown shiny sphere; what color is it?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.8, "y": 0.9, "z": 0.3}, {"id": 2, "object_name": "cylinder_1", "x": -2.7, "y": -0.8, "z": 0.3}, {"id": 3, "object_name": "cube_2", "x": -1.6, "y": 1.2, "z": 0.3}, {"id": 4, "object_name": "sphere_1", "x": -1.6, "y": -2.8, "z": 0.3}, {"id": 5, "object_name": "sphere_2", "x": -0.4, "y": -0.5, "z": 0.3}, {"id": 6, "object_name": "cylinder_2", "x": -0.1, "y": -2.2, "z": 0.3}, {"id": 7, "object_name": "cylinder_3", "x": 0.6, "y": 1.4, "z": 0.7}, {"id": 8, "object_name": "sphere_3", "x": 1.4, "y": 3.0, "z": 0.3}, {"id": 9, "object_name": "cube_3", "x": 2.8, "y": -1.9, "z": 0.7}, {"id": 10, "object_name": "cylinder_4", "x": 2.9, "y": 0.5, "z": 0.7}]</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
There is a tiny shiny object in front of the yellow object; is its color the same as the tiny shiny block?
|
<scene>[{"id": 1, "object_name": "cube_1", "x": -2.9, "y": 0.7, "z": 0.3}, {"id": 2, "object_name": "cube_2", "x": -2.7, "y": -0.5, "z": 0.3}, {"id": 3, "object_name": "cylinder_1", "x": 2.1, "y": 2.4, "z": 0.7}, {"id": 4, "object_name": "cube_3", "x": 2.2, "y": -2.7, "z": 0.7}, {"id": 5, "object_name": "cylinder_2", "x": 2.7, "y": -1.2, "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 a big rubber object that has the same color as the tiny shiny sphere?
|
<scene>[{"id": 1, "object_name": "cylinder_1", "x": -1.6, "y": 1.2, "z": 0.3}, {"id": 2, "object_name": "sphere_1", "x": -1.0, "y": -1.4, "z": 0.3}, {"id": 3, "object_name": "cylinder_2", "x": -0.3, "y": -2.8, "z": 0.7}, {"id": 4, "object_name": "cube_1", "x": 0.4, "y": 1.2, "z": 0.7}, {"id": 5, "object_name": "sphere_2", "x": 2.2, "y": -1.4, "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 more yellow cylinders than big brown cubes?
|
<scene>[{"id": 1, "object_name": "sphere_1", "x": -2.2, "y": 1.1, "z": 0.3}, {"id": 2, "object_name": "cube_1", "x": 2.0, "y": -0.5, "z": 0.7}, {"id": 3, "object_name": "cylinder_1", "x": 2.1, "y": 0.9, "z": 0.3}]</scene>
<answer>yes</answer>
|
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