add configuration file

README.md

@@ -15,28 +15,3 @@ This dataset is part of the Urban Climate project. It contains satellite images
 - **test/**: Contains test images and masks to evaluate the model.
   - **test/Image/**: Satellite images for testing.
   - **test/Mask/**: Test masks corresponding to the images.
-
----
-
-configs:
-  - name: urban_climate_building_detection
-    description: |
-      This dataset is designed for the task of building detection in urban environments using image segmentation. It includes high-resolution aerial or satellite images of urban areas, paired with corresponding segmentation masks that delineate building footprints.
-    data_files:
-      - split: train
-        path: "data/train/metadata.csv"
-      - split: validation
-        path: "data/validation/metadata.csv"
-      - split: test
-        path: "data/test/metadata.csv"
-    features:
-      image:
-        dtype: image
-        description: High-resolution input images of urban environments.
-      mask:
-        dtype: image
-        description: Binary segmentation masks corresponding to each input image.
-    license: CC BY-SA 4.0
-    citation: |
-      @article{your_citation}
-

dataset_config.yaml

@@ -0,0 +1,23 @@
+name: urban_climate_building_detection
+description: |
+  This dataset is designed for the task of building detection in urban environments using image segmentation. It includes high-resolution aerial or satellite images of urban areas, paired with corresponding segmentation masks that delineate building footprints.
+
+data_files:
+  - split: train
+    path: "data/train/metadata.csv"
+  - split: validation
+    path: "data/validation/metadata.csv"
+  - split: test
+    path: "data/test/metadata.csv"
+
+features:
+  image:
+    dtype: image
+    description: High-resolution input images of urban environments.
+  mask:
+    dtype: image
+    description: Binary segmentation masks corresponding to each input image.
+
+license: CC BY-SA 4.0
+citation: |
+  @article{your_citation}