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README.md

@@ -18,4 +18,33 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-segmentation
+size_categories:
+- 100K<n<1M
 ---
+# Sen2 Lulc
+
+The Sen2_LULC dataset provides real multispectral satellite imagery for semantic segmentation of land use and land cover in the central Indian region. Captured by Sentinel-2 at 10-meter resolution during February-March 2021, the data was collected from a satellite platform over field environments, offering high-quality inputs for agricultural and environmental monitoring applications. The dataset contains 213,758 images with pixel-level mask annotations.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+The original train/test/val split has been preserved in the `split` column.
+
+## Citation
+
+```bibtex
+@article{sawant2023sen,
+  title={Sen-2 LULC: Land use land cover dataset for deep learning approaches},
+  author={Sawant, Suraj and Garg, Rahul Dev and Meshram, Vishal and Mistry, Shrayank},
+  journal={Data in Brief},
+  volume={51},
+  pages={109724},
+  year={2023},
+  publisher={Elsevier}
+}
+```
+
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*