Update README.md

README.md

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 </div>
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+[📖Technical Report](https://arxiv.org/abs/2501.08197)
+
 **Chinese Fineweb Edu** dataset is a meticulously constructed high-quality Chinese pre-training corpus, specifically designed for natural language processing tasks in the education domain. This dataset undergoes a rigorous selection and deduplication process, using a scoring model trained on a small amount of data for evaluation. From vast amounts of raw data, it extracts high-value education-related content, ensuring the quality and diversity of the data. Ultimately, the dataset contains approximately 90 million high-quality Chinese text entries, with a total size of about 300GB.
 
 
@@ -204,3 +207,17 @@ Chinese Fineweb Edu 数据集的原始数据来源广泛，涵盖了多个国内
 
 ## 许可协议
 使用 Chinese Fineweb Edu 数据集需要遵循 OpenCSG 社区许可证。Chinese Fineweb Edu 数据集支持商业用途。如果您计划将 OpenCSG 模型或其衍生产品用于商业目的，您必须遵守 OpenCSG 社区许可证以及 Apache 2.0 许可证中的条款和条件。如用于商业用途，需发送邮件至 lorraineg@opencsg.com，并获得许可。
+
+## Citation
+
+```
+@misc{yu2025opencsgchinesecorpusseries,
+      title={OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training}, 
+      author={Yijiong Yu and Ziyun Dai and Zekun Wang and Wei Wang and Ran Chen and Ji Pei},
+      year={2025},
+      eprint={2501.08197},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2501.08197}, 
+}
+```