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--- |
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license: mit |
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task_categories: |
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- visual-question-answering |
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language: |
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- zh |
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- en |
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tags: |
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- spatial-reasoning |
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- blender |
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- synthetic |
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- vision-language |
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pretty_name: Synthetic Spatial Visual Language Question Answering Dataset |
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size_categories: |
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- 1K<n<100K |
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--- |
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# Synthetic Spatial Visual Language Question Answering Dataset |
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Automatically generated from the Blender Scene Dataset. Each example contains an image and a question-answer pair to probe **metric** (numeric) and **relation** (true/false) spatial reasoning skills. |
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* **Images**: Rendered using Blender (1000 scenes, 5 random primitives each, random cameras and lighting). |
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* **Metadata**: Object name, position, scale, color, material flags. |
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* **Questions**: 10 per image, drawn from handcrafted templates, covering: |
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* Euclidean/horizontal/vertical distance queries |
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* Object width queries |
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* Front/back predicates relative to the camera |
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Distances are in Blender scene units, rounded to 1 cm precision. |
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## Fields |
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| Field | Type | Description | |
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|---------|---------|-------------------------------------| |
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| image | image | rendered scene | |
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| question| string | natural language query | |
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| answer | string | ground truth answer | |
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## Quotes |
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``` |
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@misc{synthetic_spatialvlm_qa, |
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title = {Synthetic Spatial Vision-Language Question Answering Dataset}, |
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author = {<your name>}, |
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year = 2025, |
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url = {https://huggingface.co/datasets/Litian2002/spatialvlm_qa} |
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} |
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``` |
