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README.md

@@ -23,4 +23,40 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+# Wheat Seed Variety Classification
+
+Single wheat seeds of three Pakistani varieties, Akbar-19, Dilkash-20 and Urooj-22, photographed at the University of Agriculture, Faisalabad, for varietal purity identification. After checking seed morphology under a microscope, the authors selected 125 seeds per variety and photographed each from the back, front and side with a Canon EOS 5D Mark III; this release holds the images resized to 256 x 256 (1,124 images). The label is the variety and seed_id groups the views of the same seed (A1-A125, D1-D125, U1-U125); which view each image shows is not recorded in the file names. The dataset contains 1,124 images across 3 classes: Akbar-19, Dilkash-20, Urooj-22.  
+Images per class:
+- Akbar-19: 374
+- Dilkash-20: 375
+- Urooj-22: 375
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{nawaz2025high,
+  title={High-resolution RGB image dataset for wheat seed varietal identification and purity assessment},
+  author={Nawaz, Mehreen and Safder, Sadaf and Riaz, Shazia and Ali, Saqib},
+  journal={Data in Brief},
+  volume={61},
+  pages={111690},
+  year={2025},
+  publisher={Elsevier}
+}
+```
+
+
+The dataset itself can be cited as:
+
+paal lab, precision lab. (2025). *Varietal purity of wheat seeds dataset* [Dataset]. Mendeley Data. https://doi.org/10.17632/W5248V9FK3.1
+
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*