Update README.md

README.md

@@ -16,4 +16,75 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-segmentation
+tags:
+- geodata
+- satellite
+- sentinel2
+- ESA
+pretty_name: Simple Satelite Segmentation (Norway)
+size_categories:
+- n<1K
 ---
+
+# Satellite Segmentation
+
+Summary
+-------
+This dataset contains paired Sentinel-2 RGB tiles and corresponding land-cover masks (derived from ESA WorldCover) prepared for semantic segmentation. Each example has:
+- `image`: RGB image (PNG)
+- `mask`: integer-labelled mask (PNG, uint8)
+
+Key details
+-----------
+- Source imagery: Sentinel-2 L2A via Microsoft Planetary Computer (STAC)
+- Land-cover masks: ESA WorldCover (derived)
+- Spatial resolution: 10 m (aligned to Sentinel-2 grid)
+- CRS: EPSG:4326 
+- Number of samples: 790
+- Train/validation split: Train
+
+Provenance & license
+--------------------
+This dataset was derived from third‑party datasets:
+- Sentinel‑2 (Copernicus)
+- ESA WorldCover 
+
+The user of this dataset must respect the original licenses and terms of use. The repository contains derived files (tiles). 
+
+Data format
+-----------
+- Images: PNG, RGB, 3 channels
+- Masks: PNG, integer values representing classes (do not normalize/convert to RGB)
+- Filenames: `{prefix}.png` and `{prefix}_mask.png` (paired by prefix)
+
+How to load
+-----------
+Example (datasets library):
+
+```python
+from datasets import load_dataset
+ds = load_dataset("nikolkoo/SateliteSegmentation")
+```
+
+Example evaluation/training snippet
+-----------------------------------
+Use CrossEntropyLoss with logits and integer masks:
+
+```python
+# pseudocode
+images = batch["image"]  # (B,H,W,3) -> to tensor & permute
+masks  = batch["mask"]   # (B,H,W) ints
+logits = model(images)
+loss = torch.nn.CrossEntropyLoss()(logits, masks)
+```
+
+Citation
+--------
+If you publish results using this dataset, cite the original data providers (Copernicus / ESA / Microsoft Planetary Computer) and this dataset repo.
+
+Contact
+-------
+Feel free to add a comment in the Community 🤗