Update README.md

README.md

@@ -1,3 +1,50 @@
 ---
+configs:
+- config_name: default
+  default: true
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Blister_Blight
+          '1': Brown_Blight
+          '2': Healthy_leaves
+          '3': Leaf_Red_Rust
+          '4': Red_Spider_Mite
+          '5': Tea_Mosquito_Bug
 license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 10K<n<100K
 ---
+
+# Tea Leaf Disease Classification
+
+A dataset for disease classification of tea leaves. The dataset contains 80,329 images across 6 classes: Blister_Blight, Brown_Blight, Healthy_leaves, Leaf_Red_Rust, Red_Spider_Mite, Tea_Mosquito_Bug.
+Images per class:
+- Blister_Blight: 13,500
+- Brown_Blight: 13,500
+- Healthy_leaves: 12,829
+- Leaf_Red_Rust: 13,500
+- Red_Spider_Mite: 13,500
+- Tea_Mosquito_Bug: 13,500
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{gupta2025cs,
+  title={CS-D: A dataset for disease in tea leaf (Camellia sinensis) from Assam},
+  author={Gupta, Megha and Garg, Sunaina and Deb, Nabamita and Pandey, Piyush},
+  journal={Data in Brief},
+  pages={112251},
+  year={2025},
+  publisher={Elsevier}
+}```
+
+Gupta, Megha (2025), “Tea Leaf Dataset”, Mendeley Data, V1, doi: 10.17632/94fzcdz8gz.1