Add dataset card, paper link and GitHub reference

Hi! I'm Niels from the community science team at Hugging Face. I'm opening this PR to improve the dataset card for this repository.

I've added YAML metadata for the task category, language, and license, and updated the README to link to your recent paper [CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards](https://huggingface.co/papers/2606.00020) and your GitHub repository. I've also added a sample usage section for the data augmentation tool mentioned in your GitHub README and organized the dataset statistics into a table for better readability.

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}, 
+}
+```