
# 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}
    }

task_categories:text2text-generation size_categories:1K<n<10K language:zh license:cc-by-4.0 arxiv:2305.15891 region:us
{"language": ["zh"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["text2text-generation"]}
TAGS
#task_categories-text2text-generation #size_categories-1K<n<10K #language-Chinese #license-cc-by-4.0 #arxiv-2305.15891 #region-us 


# Dataset Description

- Repository: URL
- Paper: URL

# 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



    @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}
    }

# Dataset Description

- Repository: URL
- Paper: URL # 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



    @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}
    }
TAGS
#task_categories-text2text-generation #size_categories-1K<n<10K #language-Chinese #license-cc-by-4.0 #arxiv-2305.15891 #region-us 
 # Dataset Description

- Repository: URL
- Paper: URL # 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



    @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}
    }
passage: TAGS
#task_categories-text2text-generation #size_categories-1K<n<10K #language-Chinese #license-cc-by-4.0 #arxiv-2305.15891 #region-us 
# Dataset Description

- Repository: URL
- Paper: URL# 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



    @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}
    }