Update README.md

README.md

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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<div align=center>
+<img src="https://github.com/PKU-YuanGroup/OpenS2V-Nexus/blob/main/__assets__/OpenS2V-Nexus_logo.png?raw=true" width="300px">
+</div>
+<h2 align="center"> <a href="https://pku-yuangroup.github.io/OpenS2V-Nexus/">OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation</a></h2>
+
+<h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for the latest update.  </h2>
+
+
+## ✨ Summary
+**OpenS2V-Eval** introduces 180 prompts from seven major categories of S2V, which incorporate both real and synthetic test data. Furthermore, 
+to accurately align human preferences with S2V benchmarks, we propose three automatic metrics: **NexusScore**, **NaturalScore**, **GmeScore**
+to separately quantify subject consistency, naturalness, and text relevance in generated videos. Building on this, we conduct a comprehensive 
+evaluation of 14 representative S2V models, highlighting their strengths and weaknesses across different content.
+
+## 📣 Evaluate Your Own Models
+For how to evaluate your customized model like OpenS2V-Eval in the [OpenS2V-Nexus paper](https://huggingface.co/papers/), please refer to [here](https://github.com/PKU-YuanGroup/OpenS2V-Nexus/tree/main/eval).
+
+## ⚙️ Get Videos Generated by Different S2V models
+For more details, please refer to [here](https://huggingface.co/datasets/BestWishYsh/OpenS2V-Eval/tree/main/Results).
+
+## 💡 Description
+- **Repository:** [Code](https://github.com/PKU-YuanGroup/OpenS2V-Nexus), [Page](https://pku-yuangroup.github.io/OpenS2V-Nexus/), [Dataset](https://huggingface.co/datasets/BestWishYsh/OpenS2V-5M), [Benchmark](https://huggingface.co/datasets/BestWishYsh/OpenS2V-Eval)
+- **Paper:** [https://huggingface.co/papers](https://huggingface.co/papers)
+- **Point of Contact:** [Shenghai Yuan]([email protected])
+
+## ✏️ Citation
+If you find our paper and code useful in your research, please consider giving a star and citation.
+
+```BibTeX
+@article{yuan2025opens2v,
+  title={OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation},
+  author={Yuan, Shenghai and He, Xianyi and Deng, Yufan and Ye, Yang and Huang, Jinfa and Ma Chongyang and Luo, Jiebo and Yuan, Li},
+  journal={arXiv preprint arXiv},
+  year={2025}
+}
+```