Add dataset card, paper link and GitHub reference

README.md

@@ -1,4 +1,64 @@
 ---
 license: mit
+task_categories:
+- text-generation
+language:
+- zh
+tags:
+- chinese
+- spelling-correction
+- csc
+- text-correction
 ---
-CSC数据：W271K：279,816 条，Medical：39,303 条，Lemon：22,259 条，ECSpell：6,688 条，CSCD：35,001 条。完整项目代码：https://github.com/TW-NLP/ChineseErrorCorrector
+
+# 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}, 
+}
+```