Update dataset card with paper link, GitHub repository, and task categories

README.md

@@ -1,12 +1,32 @@
 ---
 license: apache-2.0
+task_categories:
+- image-classification
+- image-segmentation
+tags:
+- anomaly-detection
 ---
 
-This dataset is an extended version of the [MVTec-AD](https://www.mvtec.com/company/research/datasets/mvtec-ad) anomaly detection dataset, specifically designed for anomaly classification tasks.  
-  
+This dataset is an extended version of the [MVTec-AD](https://www.mvtec.com/company/research/datasets/mvtec-ad) anomaly detection dataset, specifically designed for anomaly classification tasks. It was introduced in the paper [UniADC: A Unified Framework for Anomaly Detection and Classification](https://arxiv.org/abs/2511.06644).
+
 It is built upon the [MVREC (AAAI 2025) framework](https://github.com/ShuaiLYU/MVREC). We have reorganized the format, and we would like to acknowledge the excellent foundational work that preceded this.
+
+- **Paper:** [https://arxiv.org/abs/2511.06644](https://arxiv.org/abs/2511.06644)
+- **Code:** [https://github.com/cnulab/UniADC](https://github.com/cnulab/UniADC)
    
-Download Command:  
+### Download Command:  
+```bash
+huggingface-cli download --repo-type dataset XimiaoZhang/MVTec-FS --local-dir ./ --resume-download
 ```
-huggingface-cli download --repo-type dataset  XimiaoZhang/MVTec-FS --local-dir ./ --resume-download
+
+### Citation
+```bibtex
+@inproceedings{zhang2025uniadc,
+      title={UniADC: A Unified Framework for Anomaly Detection and Classification}, 
+      author={Ximiao Zhang, Min Xu, Zheng Zhang, Junlin Hu, and Xiuzhuang Zhou},
+      year={2025},
+      eprint={2511.06644},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
 ```