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--- |
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task_categories: |
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- text2text-generation |
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language: |
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- zh |
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size_categories: |
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- 1K<n<10K |
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license: cc-by-4.0 |
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--- |
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# Dataset Description |
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- **Repository:** https://github.com/X-LANCE/medical-dataset |
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- **Paper:** https://arxiv.org/abs/2305.15891 |
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# Dataset Summary |
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CSS is a large-scale cross-schema Chinese text-to-SQL dataset |
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# Dataset Splits |
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### Example-based Split |
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* **train**: 3472 question/SQL pairs |
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* **dev**: 434 question/SQL pairs |
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* **test**: 434 question/SQL pairs |
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### Template-based Split |
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* **train**: 3470 question/SQL pairs |
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* **dev**: 430 question/SQL pairs |
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* **test**: 440 question/SQL pairs |
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### Schema-based Split |
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* **train**: 18550 question/SQL pairs |
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* **dev**: 8150 question/SQL pairs |
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* **test**: 6920 question/SQL pairs |
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# Citation Information |
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@misc{zhang2023css, |
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title={CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset}, |
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author={Hanchong Zhang and Jieyu Li and Lu Chen and Ruisheng Cao and Yunyan Zhang and Yu Huang and Yefeng Zheng and Kai Yu}, |
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year={2023}, |
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eprint={2305.15891}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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