Update README.md

README.md

@@ -25,4 +25,32 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+# Bruised Vegetable Classification
+
+A dataset for classification of Bruised Vegetable Classification. The dataset contains 4,464 images across 3 classes.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{samanta2025nature,
+  title={Nature's best vs. bruised: A veggie edibility evaluation database},
+  author={Samanta, Bidisha and Banerjee, Sriparna and Das, Ranadhir and Chaudhuri, Sheli Sinha and Djemal, Khalifa and Feiz, Amir Ali},
+  journal={Data in Brief},
+  volume={60},
+  pages={111483},
+  year={2025},
+  publisher={Elsevier}
+}
+```
+
+Samanta, Bidisha ; Banerjee, Sriparna; Das, Ranadhir; Sinha Chaudhuri, Sheli; Djemal, Khalifa  (2024), “Nature's Best vs. Bruised: A Veggie Evaluation”, Mendeley Data, V2, doi: 10.17632/b2mvj3kjfx.2
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*