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.gitignore

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+*.py
+Test
+Val
+Train
+data

README.md

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+---
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: "data/train.parquet"
+      - split: validation
+        path: "data/validation.parquet"
+      - split: test
+        path: "data/test.parquet"
+dataset_info:
+  features:
+    - name: image
+      dtype: image
+    - name: mask
+      dtype: image
+---
+
+# Urban Climate Dataset
+
+## Dataset Description
+
+This dataset is part of the Urban Climate project. It contains satellite images of urban areas and corresponding segmentation masks that are used for building detection and segmentation tasks.
+
+### Files and Structure:
+
+- **train.parquet**: Contains the training images and masks in a parquet format.
+- **validation.parquet**: Contains the validation images and masks in a parquet format for model evaluation.
+- **test.parquet**: Contains the test images and masks in a parquet format to evaluate the model.
+
+Each parquet file includes:
+
+- **image**: The original satellite image used for the respective split (train, validation, or test).
+- **mask**: The binary mask where buildings are labeled, corresponding to the image.
+
+### Dataset Details:
+
+- **Images**: High-resolution satellite images of urban environments.
+- **Masks**: Binary segmentation masks that indicate building footprints.
+
+### Usage:
+
+This dataset is intended for tasks such as building detection and segmentation in urban areas using machine learning and computer vision techniques.