Update README.md

README.md

@@ -20,4 +20,35 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+# Grapevine Esca Classification
+
+A dataset for disease classification of grapevine leaves. The dataset contains 1,770 images across 2 classes: esca, healthy.  
+Images per class:
+- esca: 888
+- healthy: 882
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{alessandrini2021grapevine,
+  title={A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning},
+  author={Alessandrini, M and Rivera, R Calero Fuentes and Falaschetti, L and Pau, D and Tomaselli, V and Turchetti, C},
+  journal={Data in Brief},
+  volume={35},
+  pages={106809},
+  year={2021},
+  publisher={Elsevier}
+}
+```
+
+Alessandrini, Michele; Calero Fuentes Rivera, Romel ; Falaschetti, Laura; Pau, Danilo; Tomaselli, Valeria; Turchetti, Claudio (2021), “ESCA-dataset”, Mendeley Data, V1, doi: 10.17632/89cnxc58kj.1
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*