README.md

---
task_categories:
- text2text-generation
language:
- zh
size_categories:
- 1K<n<10K
license: cc-by-4.0
---

# Dataset Description

- **Repository:** https://github.com/X-LANCE/medical-dataset
- **Paper:** https://arxiv.org/abs/2305.15891

# Dataset Summary

CSS is a large-scale cross-schema Chinese text-to-SQL dataset

# Dataset Splits

### Example-based Split

* **train**: 3472 question/SQL pairs
* **dev**: 434 question/SQL pairs
* **test**: 434 question/SQL pairs

### Template-based Split

* **train**: 3470 question/SQL pairs
* **dev**: 430 question/SQL pairs
* **test**: 440 question/SQL pairs

### Schema-based Split

* **train**: 18550 question/SQL pairs
* **dev**: 8150 question/SQL pairs
* **test**: 6920 question/SQL pairs

# Citation Information

    @misc{zhang2023css,
          title={CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset}, 
          author={Hanchong Zhang and Jieyu Li and Lu Chen and Ruisheng Cao and Yunyan Zhang and Yu Huang and Yefeng Zheng and Kai Yu},
          year={2023},
          eprint={2305.15891},
          archivePrefix={arXiv},
          primaryClass={cs.CL}
    }