Update README.md

README.md

@@ -23,4 +23,38 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+# Soybean Damage Classification
+
+A dataset for damage classification of soybean seeds. The dataset contains 5,513 images across 5 classes: Broken, Immature, Intact, Skin-damaged, Spotted.  
+Images per class:
+- Broken: 1,002
+- Immature: 1,125
+- Intact: 1,201
+- Skin-damaged: 1,127
+- Spotted: 1,058
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{lin2023soybean,
+  title={Soybean image dataset for classification},
+  author={Lin, Wei and Fu, Youhao and Xu, Peiquan and Liu, Shuo and Ma, Daoyi and Jiang, Zitian and Zang, Siyang and Yao, Heyang and Su, Qin},
+  journal={Data in Brief},
+  volume={48},
+  pages={109300},
+  year={2023},
+  publisher={Elsevier}
+}
+```
+
+Lin, Wei; Fu, Youhao; Xu, Peiquan; Liu, Shuo; Ma, Daoyi; Jiang, Zitian; zang, siyang; Yao, Heyang; Su, Qin (2023), “Soybean Seeds”, Mendeley Data, V6, doi: 10.17632/v6vzvfszj6.6
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*