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README.md

@@ -37,4 +37,40 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+# Cottonweedid15 Classification
+
+This dataset contains real-world RGB images of 15 common weed species found in cotton agricultural fields, captured under natural field conditions. The images depict weeds growing in typical cotton crop environments, providing a practical resource for developing and evaluating computer vision models for weed identification in precision agriculture applications. The dataset contains 5,187 images across 15 classes: Carpetweeds, Crabgrass, Eclipta, Goosegrass, Morningglory, Nutsedge, PalmerAmaranth, Prickly Sida, Purslane, Ragweed, Sicklepod, SpottedSpurge, SpurredAnoda, Swinecress, Waterhemp.  
+Images per class:
+- Carpetweeds: 763
+- Crabgrass: 111
+- Eclipta: 254
+- Goosegrass: 216
+- Morningglory: 1,115
+- Nutsedge: 273
+- PalmerAmaranth: 689
+- Prickly Sida: 129
+- Purslane: 450
+- Ragweed: 129
+- Sicklepod: 240
+- SpottedSpurge: 234
+- SpurredAnoda: 61
+- Swinecress: 72
+- Waterhemp: 451
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+<!-- TODO: add BibTeX citation -->
+```
+
+<!-- TODO: add plain text citation -->
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*