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README.md

@@ -22,4 +22,31 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- other
+size_categories:
+- n<1K
 ---
+# Alphonso Mango Phenotyping
+
+This dataset comprises RGB images of Alphonso mango fruits captured in a controlled laboratory environment in Mysuru, India. Images were collected using a fixed-position Logitech C270 webcam during the May/June 2022 phenotyping period, providing standardized visual data for agricultural phenotyping research. The dataset contains 100 images, each paired with the following ground-truth measurement(s): Actual Weight (gms), fruit diameter (mm), width across schoulder (mm).
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{prabhu2023amdpwe,
+  title={AMDPWE: Alphonso Mango Dataset for Precision Weight Estimation},
+  author={Prabhu, Akshatha and Rani, N. Shobha},
+  journal={Data in Brief},
+  volume={51},
+  pages={109778},
+  year={2023},
+  publisher={Elsevier}
+}
+```
+
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*