Create README.md

README.md

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+---
+configs:
+- config_name: default
+  default: true
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': earlyblt
+          '1': healthy
+          '2': lateblt
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 10K<n<100K
+---
+
+# Potato Leaf Blight Classification
+
+A dataset for disease classification of Irish Potato leaves. The dataset contains 58,709 images across 3 classes: earlyblt, healthy, lateblt.  
+Images per class:
+- earlyblt: 17,772
+- healthy: 20,438
+- lateblt: 20,499
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{laizer2025irish,
+  title={Irish potato imagery dataset for detection of early and late blight diseases},
+  author={Laizer, Hudson and Mduma, Neema},
+  journal={Data in Brief},
+  volume={60},
+  pages={111549},
+  year={2025},
+  publisher={Elsevier}
+}
+```
+
+Laizer, H., Mduma, N., Machuve, D., Lyimo, T., Babirye, C., Swai, J., & Siwingwa, A. (2023). Irish Potato Imagery Dataset for Early Detection of Crop Diseases (Version 01) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8286529