metadata
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}
}