Update README.md

README.md

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-license: cc-by-nc-sa-4.0
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+---
+license: cc-by-nc-sa-4.0
+---
+# 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.
+
+The file structure of the training set and the test set are consistent, as follows:
+
+```text
+dataset/
+├── train/
+│   ├── category1/
+│   │   └── Data/
+│   │       ├── Images/
+│   │       │   ├── Anomaly/       # Anomaly images
+│   │       │   ├── Normal/        # Normal images
+│   │       │   └── Prompt/        # Prompt for few-shot settings
+│   │       └── Masks/
+│   │           └── Anomaly/        # Pixel-level annotations for anomaly images
+│   ├── category2/
+│   │   └── Data/                   # Same structure as category 1
+│   ├── category3/
+│   │   └── Data/                   # Same structure as category 1
+│   └── ...                          # Additional categories
+└── test/
+    ├── category1/                   # Same structure as train/category1
+    ├── category2/
+    ├── category3/
+    └── ...                          # Additional categories
+```