---
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}
}
```