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README.md

@@ -24,4 +24,26 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-segmentation
+size_categories:
+- n<1K
 ---
+# Chicory Root Segmentation
+
+This dataset provides real-world RGB images of chicory roots in agricultural settings, captured for semantic segmentation tasks. The images depict roots in their natural growing environment, offering a realistic representation for developing and evaluating segmentation models in crop monitoring applications. The dataset contains 48 images with pixel-level mask annotations.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+The original train/test/val split has been preserved in the `split` column.
+
+## Citation
+
+```bibtex
+<!-- TODO: add BibTeX citation -->
+```
+
+<!-- TODO: add plain text citation -->
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*