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README.md

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-license: mit
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+# Dataset README
+
+This repository provides all datasets and model checkpoints required for the paper:
+
+[Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts 🔗](https://github.com/hzcar/DUO)  
+*Zixuan Hu, Dongxiao Li, Xinzhu Ma, Shixiang Tang, Xiaotong Li, Wenhan Yang, Ling-Yu Duan*  
+(**ICCV 2025 Highlight**)
+
+---
+
+## Repository Structure
+
+- **kitti-c1.zip** and **kitti-c2.zip**  
+  After extraction, together they form the complete **KITTI-C** dataset.
+
+- **Nuscenes.zip**  
+  Contains the splitted datasets across four different scenarios.
+
+- **source_ckpt.zip**  
+  Includes all necessary model checkpoints.
+
+---
+
+## Notes
+
+⚠️ The corruption process in **KITTI-C** involves certain randomness, which may lead to slight fluctuations in detection performance.  
+If you use the dataset provided in this repository, please make sure to properly acknowledge it in your citation.
+
+---
+
+## Project Website
+
+👉 [https://github.com/hzcar/DUO](https://github.com/hzcar/DUO)
+
+## Citation
+If our datasets and models are helpful in your research, please consider citing our paper:
+```
+@article{hu2025beyond,
+  title={Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation},
+  author={Hu, Zixuan and Hu, Yichun and Li, Xiaotong and Tang, Shixiang and Duan, Ling-Yu},
+  journal={arXiv preprint arXiv:2505.20704},
+  year={2025}
+}
+```