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license: mit
task_categories:
- text-generation
language:
- zh
tags:
- chinese
- spelling-correction
- csc
- text-correction
---
# Chinese Spelling Correction (CSC) Dataset
This repository contains various Chinese Spelling Correction (CSC) datasets as presented in the paper [CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards](https://huggingface.co/papers/2606.00020).
These datasets are part of the [ChineseErrorCorrector](https://github.com/TW-NLP/ChineseErrorCorrector) project, a comprehensive platform for Chinese text correction tasks.
## Dataset Statistics
The collection includes the following subsets:
| Subset | Count |
| :--- | :--- |
| **W271K** | 279,816 |
| **Medical** | 39,303 |
| **Lemon** | 22,259 |
| **ECSpell** | 6,688 |
| **CSCD** | 35,001 |
## Resources
- **GitHub Repository:** [TW-NLP/ChineseErrorCorrector](https://github.com/TW-NLP/ChineseErrorCorrector)
- **Paper:** [CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards](https://huggingface.co/papers/2606.00020)
## Sample Usage
The authors provide a tool for grammatical error augmentation via the `ChineseErrorCorrector` Python package:
```python
from ChineseErrorCorrector.utils.dat import GrammarErrorDat
dat = GrammarErrorDat()
print(dat.lack_word("小明住在北京")) # 缺字漏字
print(dat.error_word("小明住在北京")) # 错别字
print(dat.lack_punctuation("小明住在北京")) # 缺少标点
```
## Citation
If you use this dataset or the associated tools, please cite:
```bibtex
@misc{tian2026csrpchainofthoughtreasoningchinese,
title={CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards},
author={Wei Tian and Yuhao Zhou and Man Lan},
year={2026},
eprint={2606.00020},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2606.00020},
}
``` |