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README.md

@@ -24,4 +24,43 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- n<1K
 ---
+# Corn Leaf Disease Classification
+
+This dataset provides real RGB images of corn leaves affected by various diseases, captured in field environments across northern Anhui Province, China. Images were acquired using a NIKON D810 camera at 1001x1500 pixels resolution, delivering high-fidelity visual data for agricultural disease detection research. The dataset contains 600 images across 6 classes: Bipolaris_Maydis, Common_Rust, Curvularia_Lunata(wakker)boed_Spot, Northern-Leaf-Blight, Own-Spot, Sheath-Blight.  
+Images per class:
+- Bipolaris_Maydis: 100
+- Common_Rust: 100
+- Curvularia_Lunata(wakker)boed_Spot: 100
+- Northern-Leaf-Blight: 100
+- Own-Spot: 100
+- Sheath-Blight: 100
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{bai2025lightweight,
+  title={A lightweight model and corn leaf disease recognition},
+  author={Bai, Lujie and Zhu, Shaoqiu and Gao, Haitao},
+  journal={PLOS One},
+  volume={20},
+  pages={e0336945},
+  year={2025},
+  publisher={Public Library of Science}
+}
+```
+
+
+The dataset itself can be cited as:
+
+Bai, L. (2025). *A lightweight model and corn leaf disease recognition* [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.30264037.V6
+
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*