---
license: mit
task_categories:
- text-generation
language:
- zh
tags:
- text-correction
- cgec
- chain-of-thought
---

# CSRP: Chain-of-Thought Reasoning for Chinese Text Correction

This dataset contains the 340,000 Chain-of-Thought (CoT) reasoning samples introduced 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).

## Links
- **Paper**: [CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards](https://huggingface.co/papers/2606.00020)
- **GitHub Repository**: [TW-NLP/ChineseErrorCorrector](https://github.com/TW-NLP/ChineseErrorCorrector)

## Dataset Summary
The CSRP dataset is designed to enhance Chinese Grammatical Error Correction (CGEC) by providing explicit error reasoning (Chain-of-Thought) for corrections. This diagnostic transparency helps models internalize linguistic priors and effectively mitigates over-correction bias.

The dataset includes 340,000 balanced samples covering various error types:
- Spelling errors (错别字)
- Word collocation errors (词语搭配错误)
- Word order errors (语序错误)
- Component omission or redundancy (成分残缺/赘余)
- Semantic logic issues (语义逻辑不通)

## Citation
If you use this dataset, 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}, 
}
```