metadata
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.
These datasets are part of the 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
- Paper: CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards
Sample Usage
The authors provide a tool for grammatical error augmentation via the ChineseErrorCorrector Python package:
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:
@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},
}