Update README.md

README.md

@@ -38,7 +38,7 @@ configs:
   data_files:
   - split: train
     path: data/train-*
-license: cc-by-4.0
+license: mit
 task_categories:
 - image-classification
 size_categories:
@@ -64,9 +64,20 @@ This dataset is indexed on https://project-agml.github.io/ as part of the AgML p
 ## Citation
 
 ```bibtex
-<!-- TODO: add BibTeX citation -->
+@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},
+  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
+  volume={12},
+  number={7},
+  pages={2217--2226},
+  year={2019},
+  publisher={IEEE}
+}
 ```
 
-<!-- TODO: add plain text citation -->
+Helber, P., Bischke, B., Dengel, A., & Borth, D. (2018). EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification [Dataset]. In EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification (Vol. 12, Issue 7, pp. 2217–2226). Zenodo. Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification, Valencia, Spain. https://doi.org/10.5281/zenodo.7711810
 
-*This dataset was reformatted from its original format to match HuggingFace standards.*
+Sentinel data is open source. Please refer to https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice for terms of use. 
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*