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README.md

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+# Simulated PhiSat Bench Dataset - Roads 
+
+This dataset comprises simulated PhiSat2 data derived from Sentinel-2, tailored for pixel-wise regression tasks aimed at estimating road coverage. 
+
+## Dataset Overview
+
+Each sample in the dataset includes a single-channel label. 
+The labels are stored as floating-point values that represent the estimated percentage of roads area within each pixel. 
+For a pixel with a 10-meter resolution (representing 100 square meters), the label values range from 0 to 100, where:
+
+- *0* indicates no roads coverage, and
+- *100* indicates full roads coverage.
+
+# Use Case
+This dataset is intended for training machine learning models for road detection, road network extraction and mapping, 
+urban planning and infrastructure development, as well as disaster response and accessibility analysis.