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README.md

@@ -16,4 +16,29 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-segmentation
+size_categories:
+- n<1K
 ---
+# Lelephid Classification
+
+This dataset provides real RGB images of aphid-infested lemon leaves captured in field conditions in Junín, Ecuador. Collected using a handheld smartphone camera during the December to May period, it offers a practical resource for developing semantic segmentation models focused on agricultural disease detection. The dataset contains 665 images with pixel-level mask annotations.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+<!-- TODO: add BibTeX citation -->
+```
+
+<!-- TODO: add plain text citation -->
+
+The dataset itself can be cited as:
+
+Parraga-Alava, J. (2021). *LeLePhid: An Images Dataset for Aphids Detection and Infestation Severity on Lemons Leaf* [Dataset]. Mendeley Data. https://doi.org/10.17632/TNDHS2ZNG4.1
+
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*