Update README.md

README.md

@@ -24,7 +24,43 @@ dataset_info:
   download_size: 88591771
   dataset_size: 88391109
 license: mit
+task_categories:
+- image-classification
+- zero-shot-image-classification
 ---
 # Dataset Card for "EuroSAT2"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Description
+
+- **Paper** [Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification](https://ieeexplore.ieee.org/iel7/4609443/8789745/08736785.pdf)
+- **Paper** [Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification](https://ieeexplore.ieee.org/iel7/8496405/8517275/08519248.pdf)
+- **GitHub** [EuroSAT](https://github.com/phelber/EuroSAT)
+- **Data** [Zenodo](https://zenodo.org/record/7711810#.ZCcA9uzMLJx)
+  
+### Licensing Information
+
+MIT.
+
+## Citation Information
+
+[Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification](https://ieeexplore.ieee.org/iel7/4609443/8789745/08736785.pdf)
+
+[Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification](https://ieeexplore.ieee.org/iel7/8496405/8517275/08519248.pdf)
+
+```
+@article{helber2019eurosat,
+  title        = {Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification},
+  author       = {Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},
+  year         = 2019,
+  journal      = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
+  publisher    = {IEEE}
+}
+@inproceedings{helber2018introducing,
+  title        = {Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification},
+  author       = {Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},
+  year         = 2018,
+  booktitle    = {IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium},
+  pages        = {204--207},
+  organization = {IEEE}
+}
+```