Update src/about.py

src/about.py

@@ -29,7 +29,8 @@ LINKS_AND_INFO = """
 <p><a href="https://hunyuan.tencent.com/" target="_blank">Hunyuan</a>, Tencent</p> <br>
 
 <a href="https://codegoat24.github.io/UnifiedReward/Pref-GRPO" target="_blank">🏠 Homepage</a> | 
-<a href="https://arxiv.org/pdf/2508.20751" target="_blank">📄 arXiv Paper</a>
+<a href="https://arxiv.org/pdf/2508.20751" target="_blank">📄 arXiv Paper</a> |
+<a href="https://huggingface.co/datasets/CodeGoat24/UniGenBench/tree/main">😊 Huggingface</a> |
 
 <a href="https://github.com/CodeGoat24/UniGenBench" target="_blank" rel="noopener noreferrer"><img alt="Code" src="https://img.shields.io/github/stars/CodeGoat24/UniGenBench.svg?style=social&amp;label=Official"></a>
 
@@ -42,7 +43,10 @@ INTRODUCTION_TEXT = """
 
 🔧 You can use the official [GitHub repo](https://github.com/CodeGoat24/UniGenBench) to evaluate your model on [UniGenBench](https://github.com/CodeGoat24/UniGenBench).
 
+😊 We release **all generated images from the T2I models** evaluated in our UniGenBench on [UniGenBench-Eval-Images](https://huggingface.co/datasets/CodeGoat24/UniGenBench-Eval-Images). Feel free to use any evaluation model that is convenient and suitable for you to assess and compare the performance of your models.
+
 📝 To add your own model to the leaderboard, please send an Email to [Yibin Wang](https://codegoat24.github.io/), then we will help with the evaluation and updating the leaderboard.
+
 """