Update README.md

README.md

@@ -1,3 +1,35 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+tags:
+- autonomous-driving
+- end-to-end
+- personalization
+pretty_name: StyleDrive
+size_categories:
+- 1B<n<10B
+---
+We release the checkpoints and StyleDrive's preference annotations in this huggingface repo. 
+
+<B>StyleDrive</B> is the first large-scale real-world dataset designed to advance personalized end-to-end autonomous driving (E2EAD).
+
+This repository includes:
+
+🧠 Model checkpoints.
+
+📊 StyleDrive datasets' annotations.
+
+These resources support training and evaluating models under our proposed benchmark for personalized E2EAD, enabling more human-aligned and context-aware driving behaviors.
+
+For env configs, code, training pipelines, and benchmark details, please visit our [GitHub repository](https://github.com/AIR-THU/StyleDrive) and [Paper](https://arxiv.org/abs/2506.23982).
+
+If you find StyleDrive is useful in your research or applications, please consider giving us a star 🌟 on GitHub and citing it by the following BibTeX entry:
+```bibtex
+ @article{hao2025styledrive,
+  title={StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving},
+  author={Hao, Ruiyang and Jing, Bowen and Yu, Haibao and Nie, Zaiqing},
+  journal={arXiv preprint arXiv:2506.23982},
+  year={2025}
+}
+```