Update README.md

README.md

@@ -54,7 +54,17 @@ To address these challenges, 'opensr-test' provides a fair approach for SR bench
 
 ## **Datasets**
 
-The `opensr-test` package provides five datasets for benchmarking SR models. These datasets are carefully crafted to minimize spatial and spectral misalignment. Each dataset consists of a dictionary with the following keys:
+The `opensr-test` package provides five datasets for benchmarking SR models. These datasets are carefully crafted to minimize spatial and spectral misalignment. 
+
+| Dataset | Scale factor | Number of images | HR patch size |
+|---------|--------------|-------------------|--------------|
+| NAIP    | x4           | 62               | 484x484       |
+| SPOT    | x4           | 9               | 512x512       |
+| Venµs   | x2           | 59               | 256x256       |
+| SPAIN CROPS | x4       | 28               | 512x512       |
+| SPAIN URBAN | x4       | 20               | 512x512       |
+
+Each dataset consists of a dictionary with the following keys:
 
 - **`L2A`**: Sentinel-2 L2A bands (12 bands).
 - **`L1C`**: Sentinel-2 L1C bands (12 bands).
@@ -87,7 +97,6 @@ The `opensr-test` package provides five datasets for benchmarking SR models. The
 | B11  | SWIR-I | 20 | 10 | 11 |
 | B12  | SWIR-II | 20 | 11 | 12 |
 
-
 ### **NAIP (X4 scale factor)**
 
 The National Agriculture Imagery Program (NAIP) dataset is a high-resolution aerial imagery dataset covering the continental United States. **It consists of