fix download link for WED

README.md

@@ -67,9 +67,9 @@ Used training and testing sets can be downloaded as follows:
 | Task                 | Training Set | Testing Set|       
 | :---                 | :---:        |     :---:      |
 | classical/lightweight image SR          | [DIV2K](https://cv.snu.ac.kr/research/EDSR/DIV2K.tar) (800 training images) or DIV2K +[Flickr2K](https://cv.snu.ac.kr/research/EDSR/Flickr2K.tar) (2650 images) | Set5 + Set14 + BSD100 + Urban100 + Manga109 [download all](https://drive.google.com/drive/folders/1B3DJGQKB6eNdwuQIhdskA64qUuVKLZ9u) |
-| real-world image SR          | SwinIR-M (middle size): [DIV2K](https://cv.snu.ac.kr/research/EDSR/DIV2K.tar) (800 training images) +[Flickr2K](https://cv.snu.ac.kr/research/EDSR/Flickr2K.tar) (2650 images) + [OST](https://openmmlab.oss-cn-hangzhou.aliyuncs.com/datasets/OST_dataset.zip) (10324 images, sky,water,grass,mountain,building,plant,animal) <br /> SwinIR-L (large size): DIV2K + Flickr2K + OST + [WED](ivc.uwaterloo.ca/database/WaterlooExploration/exploration_database_and_code.rar)(4744 images) + [FFHQ](https://drive.google.com/drive/folders/1tZUcXDBeOibC6jcMCtgRRz67pzrAHeHL) (first 2000 images, face) + Manga109 (manga) + [SCUT-CTW1500](https://universityofadelaide.box.com/shared/static/py5uwlfyyytbb2pxzq9czvu6fuqbjdh8.zip) (first 100 training images, texts) <br /><br />  ***We use the pionnerring practical degradation model from [BSRGAN, ICCV2021  ![GitHub Stars](https://img.shields.io/github/stars/cszn/BSRGAN?style=social)](https://github.com/cszn/BSRGAN)** | [RealSRSet+5images](https://github.com/JingyunLiang/SwinIR/releases/download/v0.0/RealSRSet+5images.zip) | 
-| color/grayscale image denoising      | [DIV2K](https://cv.snu.ac.kr/research/EDSR/DIV2K.tar) (800 training images) + [Flickr2K](https://cv.snu.ac.kr/research/EDSR/Flickr2K.tar) (2650 images) + [BSD500](www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/BSR/BSR_bsds500.tgz) (400 training&testing images) + [WED](ivc.uwaterloo.ca/database/WaterlooExploration/exploration_database_and_code.rar)(4744 images) |  grayscale: Set12 + BSD68 + Urban100 <br />  color: CBSD68 + Kodak24 + McMaster + Urban100 [download all](https://github.com/cszn/FFDNet/tree/master/testsets) | 
-| JPEG compression artifact reduction  | [DIV2K](https://cv.snu.ac.kr/research/EDSR/DIV2K.tar) (800 training images) + [Flickr2K](https://cv.snu.ac.kr/research/EDSR/Flickr2K.tar) (2650 images) + [BSD500](www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/BSR/BSR_bsds500.tgz) (400 training&testing images) + [WED](ivc.uwaterloo.ca/database/WaterlooExploration/exploration_database_and_code.rar)(4744 images) |  grayscale: Classic5 +LIVE1 [download all](https://github.com/cszn/DnCNN/tree/master/testsets) |
+| real-world image SR          | SwinIR-M (middle size): [DIV2K](https://cv.snu.ac.kr/research/EDSR/DIV2K.tar) (800 training images) +[Flickr2K](https://cv.snu.ac.kr/research/EDSR/Flickr2K.tar) (2650 images) + [OST](https://openmmlab.oss-cn-hangzhou.aliyuncs.com/datasets/OST_dataset.zip) (10324 images, sky,water,grass,mountain,building,plant,animal) <br /> SwinIR-L (large size): DIV2K + Flickr2K + OST + [WED](http://ivc.uwaterloo.ca/database/WaterlooExploration/exploration_database_and_code.rar)(4744 images) + [FFHQ](https://drive.google.com/drive/folders/1tZUcXDBeOibC6jcMCtgRRz67pzrAHeHL) (first 2000 images, face) + Manga109 (manga) + [SCUT-CTW1500](https://universityofadelaide.box.com/shared/static/py5uwlfyyytbb2pxzq9czvu6fuqbjdh8.zip) (first 100 training images, texts) <br /><br />  ***We use the pionnerring practical degradation model from [BSRGAN, ICCV2021  ![GitHub Stars](https://img.shields.io/github/stars/cszn/BSRGAN?style=social)](https://github.com/cszn/BSRGAN)** | [RealSRSet+5images](https://github.com/JingyunLiang/SwinIR/releases/download/v0.0/RealSRSet+5images.zip) | 
+| color/grayscale image denoising      | [DIV2K](https://cv.snu.ac.kr/research/EDSR/DIV2K.tar) (800 training images) + [Flickr2K](https://cv.snu.ac.kr/research/EDSR/Flickr2K.tar) (2650 images) + [BSD500](www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/BSR/BSR_bsds500.tgz) (400 training&testing images) + [WED](http://ivc.uwaterloo.ca/database/WaterlooExploration/exploration_database_and_code.rar)(4744 images) |  grayscale: Set12 + BSD68 + Urban100 <br />  color: CBSD68 + Kodak24 + McMaster + Urban100 [download all](https://github.com/cszn/FFDNet/tree/master/testsets) | 
+| JPEG compression artifact reduction  | [DIV2K](https://cv.snu.ac.kr/research/EDSR/DIV2K.tar) (800 training images) + [Flickr2K](https://cv.snu.ac.kr/research/EDSR/Flickr2K.tar) (2650 images) + [BSD500](www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/BSR/BSR_bsds500.tgz) (400 training&testing images) + [WED](http://ivc.uwaterloo.ca/database/WaterlooExploration/exploration_database_and_code.rar)(4744 images) |  grayscale: Classic5 +LIVE1 [download all](https://github.com/cszn/DnCNN/tree/master/testsets) |
 
 
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