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README.md

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+---
+license: cc-by-4.0
+task_categories:
+- image-text-retrieval
+language:
+- en
+tags:
+- agriculture
+- plant-disease
+- image-text-retrieval
+- leafnet
+- structured-captions
+pretty_name: LeafNet 5-Caption Structured
+size_categories:
+- 10K<n<100K
+---
+
+# LeafNet 5-Caption Structured Dataset
+
+## Description
+Agricultural leaf image dataset with **5-angle structured captions** for image-text retrieval.
+
+Each image has 5 captions from different perspectives:
+- **[Distribution]**: Lesion/spots distribution and quantity
+- **[Lesion]**: Individual lesion shape, border, and internal structure  
+- **[Color]**: Color changes, halos, powdery coatings, or texture
+- **[Location]**: Where symptoms concentrate on the leaf
+- **[Diagnosis]**: Comparison to healthy state and distinguishing features
+
+**Disease names are NOT included** in captions to ensure genuine cross-modal understanding.
+
+## Stats
+- **Images**: 13,012
+- **Classes**: 89 (crop-disease pairs)
+- **Captions per image**: 5
+- **Total captions**: 65,060
+
+## Splits
+| Split | Images | 
+|-------|--------|
+| Train | 10,405 |
+| Val   | 1,299  |
+| Test  | 1,308  |
+
+## Files
+- : All 13,012 images with 5 captions each
+- : Training set (1 caption per image)
+- : Validation set (1 caption per image)
+- : Test set (1 caption per image)
+- : Test set with all 5 captions per image
+- : img2txt and txt2img mapping for retrieval evaluation
+- : Split details and class distribution