WSI-Babel-Shark: Empty Whole-Slide Images for Slide-Label Metadata Extraction

DOI

This dataset contains 22 whole-slide image (WSI) files in SVS format, digitized using a Leica GT450 scanner. 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.

A ground-truth CSV file containing validated metadata fields is included for benchmarking. No patient-identifying information is contained in any file.

Identifier
DOI https://doi.org/10.11588/DATA/ZBS9RS
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/DATA/ZBS9RS
Provenance
Creator Aliyari, Shahram ORCID logo
Publisher heiDATA
Contributor Aliyari, Shahram; Weis, Cleo-Aron
Publication Year 2025
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Aliyari, Shahram (Heidelberg University, Institute of Pathology, Section of Computational Pathology)
Representation
Resource Type Whole-Slide Images (SVS), Ground Truth Metadata CSV; Dataset
Format text/tab-separated-values; text/plain; application/zip
Size 1893; 2419; 2697660195
Version 1.0
Discipline Life Sciences; Medicine
Spatial Coverage Heidelberg University Hospital, Institute of Pathology