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siyich/spacetools-sft

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Hugging Face2026-03-24 更新2026-03-29 收录
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资源简介:
--- license: apache-2.0 task_categories: - visual-question-answering - image-to-text tags: - spatial-reasoning - robotics - tool-use - supervised-fine-tuning size_categories: - 1K<n<10K dataset_info: features: - name: task_id dtype: string - name: dataset_index dtype: int64 - name: score dtype: float64 - name: conversations list: - name: from dtype: string - name: value dtype: string - name: system dtype: string - name: images sequence: string - name: ground_truth dtype: string - name: question_type dtype: string splits: - name: train num_examples: 7907 --- # SpaceTools SFT Dataset Supervised fine-tuning data for spatial reasoning with vision tool calling. ## Dataset Summary - **Train**: 7,907 samples (V2 pipeline: 11 reasoning tools + 5 robot tools) - **Format**: JSON with relative image paths - **Images**: Stored in `images/a/` and `images/b/` directories > **Note**: The HuggingFace viewer may show fewer rows due to preview limits on JSON files. The full dataset contains **7,907 samples**. Use `load_dataset()` or download directly to access all rows. ## Usage ```python from datasets import load_dataset ds = load_dataset("siyich/spacetools-sft") print(f"Train size: {len(ds['train'])}") # 7907 ``` ## Tools (16 total) See `toolshed_config.yaml` for full tool schemas.
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