Datasets:
metadata
license: cc-by-4.0
task_categories:
- image-classification
language:
- en
tags:
- microscopy
- biomedical-imaging
- image-classification
pretty_name: Lurcher 10x Microscopy
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.
Image layout
images/microscopy_lurcher/
lurcher/<case_id>/<image_name>.jpg
wild/<case_id>/<image_name>.jpg
Fold manifests
Predefined folds are included under:
folds/microscopy_lurcher/fold-<fold>/
train.jsonl
val.jsonl
val_selected.jsonl
test.jsonl
Each row has a path relative to the dataset repository root and a normalized class label:
{"image_path":"images/microscopy_lurcher/lurcher/5917/example.jpg","class":"lurcher"}
train.jsonl is the active-learning candidate pool. val_selected.jsonl is the validation subset used by the APT code when present; otherwise the code falls back to val.jsonl. test.jsonl is the held-out evaluation split.
Metadata
metadata/images.csv: one row per image with class and case id.metadata/folds.csv: per-fold split counts and manifest file paths.
Intended use
Use these fixed folds when comparing against the APT paper or repository results. Do not regenerate splits for direct comparison to reported fold-level numbers.