---
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

```text
images/microscopy_lurcher/
  lurcher/<case_id>/<image_name>.jpg
  wild/<case_id>/<image_name>.jpg
```

## Fold manifests

Predefined folds are included under:

```text
folds/microscopy_lurcher/fold-<fold>/
  train.jsonl
  val.jsonl
  test.jsonl
```

Each row has a path relative to the dataset repository root and a normalized class label:

```json
{"image_path":"images/microscopy_lurcher/lurcher/5917/example.jpg","class":"lurcher"}
```

`train.jsonl` is the active-learning candidate pool. `val.jsonl` is the validation split used by the APT code. `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.