---
license: cc-by-4.0
task_categories:
- image-classification
language:
- en
tags:
- microscopy
- biomedical-imaging
- image-classification
pretty_name: Lurcher 10x Microscopy
configs:
- config_name: viewer
  data_files:
  - split: folds
    path: viewer/lurcher_folds.parquet
---

# 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.

## 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
  seed.json
```

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. `seed.json` contains the initial seed prompt examples used before active selection starts.

## Dataset Viewer

The Hub dataset viewer uses:

```text
viewer/lurcher_folds.parquet
```

This table mirrors the released fold manifests and includes both `image_path` and an `image` column so the viewer can render thumbnails directly.

## Metadata

- `metadata/images.csv`: one row per image with class and case id.
- `metadata/folds.csv`: per-fold split counts and manifest file paths.

## Prompt bank

The Lurcher prompt bank used by the APT oracle is included at:

```text
prompt_banks/microscopy_lurcher.json
```

Download it into the APT code repository with:

```bash
hf download USF-CS-Microscopy-Image-Analysis/Lurcher_10x \
  prompt_banks/microscopy_lurcher.json \
  --repo-type dataset \
  --local-dir .
```

The APT repository also includes `setup_lurcher_data.py`, which downloads the images, fold manifests, seed prompts, metadata, and prompt bank into the expected local layout automatically.

## 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.