Update README.md

README.md

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 <img width="600px" alt="OpenCSG" src="./logo.png">
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 <p align="center"><a href="https://opencsg.com/models">[OpenCSG Community]</a>   <a href="https://github.com/yuyijiong/fineweb-edu-chinese">[👾github]</a>  <a href="https://cdn-uploads.huggingface.co/production/uploads/64c71b27d43e4dee51a8b31a/HU6vz21qKTEmUBCWqCFh9.jpeg">[wechat]</a>  <a href="https://twitter.com/OpenCsg">[Twitter]</a> </p>
 
 </div>
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+[📖Technical Report](https://arxiv.org/abs/2501.08197)
+
 <b>Chinese Fineweb Edu Dataset V2</b> is a comprehensive upgrade of the original Chinese Fineweb Edu, designed and optimized for natural language processing (NLP) tasks in the education sector. This high-quality Chinese pretraining dataset has undergone significant improvements and expansions, aimed at providing researchers and developers with more diverse and broadly applicable educational corpus resources. With a dataset size of 188 million entries (approximately 420 billion tokens), Fineweb Edu v2 not only increases the volume but also optimizes the data filtering methods and scoring models to ensure effectiveness and practicality in the educational domain.
 
 ## Enhanced Scoring Model
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 </p>
 
+[📖Technical Report](https://arxiv.org/abs/2501.08197)
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 # Chinese Fineweb Edu V2数据集介绍
 
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 ## 许可协议
 使用 Chinese Fineweb Edu V2数据集需要遵循 OpenCSG 社区许可证。Chinese Fineweb Edu V2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 [email protected]，并获得许可。
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+## 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}, 
+}
+```