Data · dataset · 2025
WSI-Babel-Shark: Empty Whole-Slide Images for Slide-Label Metadata Extraction
Listed in heiDATA
This dataset contains 22 whole-slide image (WSI) files in SVS format, digitized using a Leica GT450 scanner.
Description
All WSIs were intentionally scanned without tissue; only the physical slide labels are present. The purpose of this dataset is to support the evaluation and benchmarking of the WSI-Babel-Shark metadata-extraction pipeline.
Empty slides allow reduced file sizes, preservation of SVS metadata, and controlled conditions for benchmarking label-processing components, including OCR, DataMatrix decoding, stain parsing, SlideID reconstruction, and metadata harmonization. All WSIs retain full TIFF tiling, SVS headers, and Leica metadata. Files were manually inspected to ensure complete de-identification, and all CaseIDs and SlideIDs represent synthetic test cases.
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A ground-truth CSV file containing validated metadata fields is included for benchmarking. No patient-identifying information is contained in any file.
Links
Where it is published
- Dataverse dataset page heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi%3A10.11588%2FDATA%2FZBS9RS ↗
landing page · from heidata uni heidelberg de
- DOI doi.org/10.11588/data/zbs9rs ↗
DOI / persistent id · from heidata uni heidelberg de
Catalogue records · 1
- Dataverse API heidata.uni-heidelberg.de/api/datasets/:persistentId/?persistentId=doi%3A10.11588%2FDATA… ↗
metadata API · from heidata uni heidelberg de
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health · Optical character recognition
- Inferred from text
- Image 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| heiDATA | doi:10.11588/DATA/ZBS9RS | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /subjects |
| concepts[method].local:method:ocr | mapping · heidata uni heidelberg de | vocabulary-mapper@1.0.0 | keywords['OCR'] |
| concepts[modality].local:modality:image | enrichment · heidata uni heidelberg de | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | |
| description | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /description |
| publication_date | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | |
| title | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /name |
| updated_date | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | |
| version_label | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 |