Update README.md

README.md

@@ -33,3 +33,57 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+
+---
+dataset_name: bean-disease-uganda
+annotations_creators:
+  - expert-generated
+language_creators:
+  - found
+task_categories:
+  - image-classification
+  - computer-vision
+task_ids:
+  - image-classification
+language:
+  - en
+license: mit
+pretty_name: Bean Disease Uganda
+tags:
+  - agriculture
+  - plant-disease
+  - imagefolder
+  - beans
+  - field-data
+  - smartphone-images
+  - open-access
+---
+
+# Bean Disease Uganda Dataset
+
+This dataset contains images of bean leaves categorized into three classes: `angular_leaf_spot`, `bean_rust`, and `healthy`. It is intended for training and evaluating image classification models for plant disease detection.
+
+## Source
+
+The original images were collected by the [Makerere AI Lab](https://github.com/AI-Lab-Makerere/ibean) in collaboration with the [National Crops Resources Research Institute (NaCRRI)](https://www.nacrri.go.ug/). Images were taken in the field using smartphones and annotated by agricultural experts during collection.
+
+## Structure
+
+- `train/`, `validation/`, and `test/` splits
+- Each split contains subfolders for the three classes
+- Images are in JPEG format, 500x500 pixels
+
+## License
+
+MIT License (inherited from the original [ibean GitHub repository](https://github.com/AI-Lab-Makerere/ibean))
+
+## Acknowledgments
+
+This dataset builds on the foundational work of the Makerere AI Lab and NaCRRI. It is intended to make the data more accessible and usable via the Hugging Face Hub.
+
+## Citation
+
+If you use this dataset, please cite:
+
+> Makerere AI Lab. "Bean disease dataset." January 2020. https://github.com/AI-Lab-Makerere/ibean/