Add dataset card, link to paper and GitHub

README.md

@@ -1,3 +1,44 @@
----
-license: mit
----
+---
+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}, 
+}
+```