Update README.md

README.md

@@ -33,3 +33,35 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+# Real-Text
+
+**Text-Aware Image Restoration with Diffusion Models** (arXiv:2506.09993)  
+Real-world evaluation dataset for the TAIR task.
+
+- 📄 Paper: https://arxiv.org/abs/2506.09993  
+- 🌐 Project Page: https://cvlab-kaist.github.io/TAIR/  
+- 💻 GitHub: https://github.com/cvlab-kaist/TAIR  
+- 🛠 Dataset Pipeline: https://github.com/paulcho98/text_restoration_dataset
+
+## Dataset Description
+
+**Real-Text** is an evaluation dataset constructed from [RealSR](https://github.com/csjcai/RealSR) and [DrealSR](https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution) using the same pipeline as SA-Text. It reflects **real-world degradation and distortion**, making it suitable for robust benchmarking.
+
+## Usage
+
+This dataset is designed for testing oour model, **TeReDiff**, under realistic settings.  
+Please refer to our [dataset pipeline](https://github.com/paulcho98/text_restoration_dataset).
+
+## Citation
+
+Please cite the following paper if you use this dataset:
+```
+{
+  @article{min2024textaware,
+  title={Text-Aware Image Restoration with Diffusion Models},
+  author={Min, Jaewon and Kim, Jin Hyeon and Cho, Paul Hyunbin and Lee, Jaeeun and Park, Jihye and Park, Minkyu and Kim, Sangpil and Park, Hyunhee and Kim, Seungryong},
+  journal={arXiv preprint arXiv:2506.09993},
+  year={2025}
+}
+```