Update README.md

README.md

@@ -1,13 +1,24 @@
 ---
 license: cc-by-nc-sa-4.0
+language:
+- en
 ---
 # ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset
 
-Our dataset consists of a training set and a test set. All normal and anomaly images are in JPG format, while all masks are in PNG format. In the mask annotations, pixels with a value of 0 represent normal regions, and pixels with a value of 1 represent anomaly regions.
+Our dataset consists of a training set and a test set. All normal and anomaly images are in hdf5 format. In the mask annotations, pixels with a value of 0 represent normal regions, and pixels with a value of 1 represent anomaly regions.
 
 The file structure of the training set and the test set are consistent, as follows:
 
 ```text
+dataset/
+├── train/
+│   ├── category1.h5
+│   └── category2.h5
+└── test/
+    ├── category1.h5
+    └── category2.h5
+
+
 dataset/
 ├── train/
 │   ├── category1/