Update README.md

README.md

@@ -2,4 +2,37 @@
 license: other
 license_name: ntu-slab-license
 license_link: https://github.com/IceClear/StableSR/blob/main/LICENSE.txt
+task_categories:
+- image-to-image
 ---
+
+# StableSR TestSets Card
+These test sets are used associated with the StableSR, available [here](https://github.com/IceClear/StableSR).
+
+## Data Details
+- **Developed by:** Jianyi Wang
+- **Data type:** Synthetic and real-world test sets for image super-resolution
+- **License:** [S-Lab License 1.0](https://github.com/IceClear/StableSR/blob/main/LICENSE.txt)
+- **Data Description:** The test sets are used to reproduce the metric results shown in [Paper](https://arxiv.org/abs/2305.07015).
+- **Resources for more information:** [GitHub Repository](https://github.com/IceClear/StableSR).
+- **Cite as:**
+
+      @InProceedings{wang2023exploiting,
+          author    = {Wang, Jianyi and Yue, Zongsheng and Zhou, Shangchen and Chan, Kelvin CK and Loy, Chen Change},
+          title     = {Exploiting Diffusion Prior for Real-World Image Super-Resolution},
+          booktitle = {arXiv preprint arXiv:2305.07015},
+          year      = {2023},
+      }
+
+# Uses
+Please refer to [S-Lab License 1.0](https://github.com/IceClear/StableSR/blob/main/LICENSE.txt)
+
+We currently provide the following test sets:
+
+- DIV2K_Val: 3000 synthetic data pairs on the validation of [DIV2K](https://data.vision.ee.ethz.ch/cvl/DIV2K/) generated used the same degradation used for training StableSR.
+- RealSR Val: Center-cropped data pairs on [RealSRv3](https://github.com/csjcai/RealSR).
+- DRealSR Val: Center-cropped data pairs on [DRealSR](https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution).
+- DPED Val: Center-cropped LQ-only data on [DPED](https://github.com/aiff22/DPED).
+
+## Evaluation Results 
+See [Paper](https://arxiv.org/abs/2305.07015) for details.