Add biomedical dataset overview

README.md

@@ -8,6 +8,10 @@ tags:
 - microscopy
 - biomedical-imaging
 - image-classification
+- histology
+- cerebellum
+- mouse-brain
+- lurcher
 pretty_name: Lurcher 10x Microscopy
 configs:
 - config_name: images
@@ -21,7 +25,17 @@ configs:
 
 # Lurcher 10x Microscopy Dataset
 
-This dataset contains 10x microscopy images for the Lurcher classification experiments used by Active Prompt Tuning (APT). Images are organized once by class and case id, while the experiment folds are provided as JSONL manifests plus fold-specific seed prompts.
+## Dataset overview
+
+This dataset consists of 2-D microscopy images of histologically stained 3-D structures in tissue sections through the cerebellum of 21 mouse brains. Animals are grouped into wild-type controls (n = 10) and Lurcher mutant mice (n = 11). The classification task is to distinguish Lurcher mutant mice from wild-type controls.
+
+All images were captured at low magnification (10x) and stained with Cresyl violet, a general histological stain for brain cells. Cresyl violet stains neurons, glia, endothelial cells, and other biostructures containing Nissl substance. The 10x magnification provides a balance between sufficient resolution to observe relevant cellular structures and a broad view of tissue architecture.
+
+This dataset has also been used in Active Prompt Tuning (APT) experiments. Images are organized once by class and case id, while the experiment folds are provided as JSONL manifests plus fold-specific seed prompts.
+
+## Acknowledgements
+
+We thank Dr. Jan Cendelín and Dr. Yaroslav Kolinko at the Faculty of Medicine in Pilsen, Charles University, Czech Republic, for collecting and providing the tissue images and associated metadata. We are also grateful for their support in making this dataset publicly available so that the broader biomedical imaging and machine learning communities can use it.
 
 ## Image layout