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---
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}
}
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