Improve dataset card and add metadata

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+task_categories:
+- image-segmentation
+---
+
+# RR-7K: Region Recognition Dataset
+
+The Region Recognition Dataset (RR-7K) is an extensive category-rich benchmark for open-world region recognition, introduced in the paper [WOW-Seg: A Word-free Open World Segmentation Model](https://huggingface.co/papers/2605.16903).
+
+- **Paper:** [WOW-Seg: A Word-free Open World Segmentation Model](https://huggingface.co/papers/2605.16903)
+- **GitHub Repository:** [WOW-Seg-Meta](https://github.com/AAwcAA/WOW-Seg-Meta)
+
+## Dataset Description
+
+RR-7K contains 7,662 classes, making it a highly diverse dataset for testing the generalization capabilities of segmentation and region recognition models in open-world scenarios. It was constructed to bridge the gap between strong segmentation capabilities and semantic understanding, serving as a primary benchmark for the WOW-Seg model.
+
+## Citation
+
+If you find the RR-7K dataset useful for your research, please use the following BibTeX entry:
+
+```bibtex
+@inproceedings{li2026wowseg,
+      title={{WOW}-Seg: A Word-free Open World Segmentation Model},
+      author={Danyang Li and Tianhao Wu and Bin Lin and Zhenyuan Chen and Yang Zhang and Yuxuan Li and Ming-Ming Cheng and Xiang Li},
+      booktitle={The Fourteenth International Conference on Learning Representations},
+      year={2026},
+      url={https://openreview.net/forum?id=AyJPSnE1bq}
+}
+```