Swiss-Mammo: A physician-written, synthetic dataset of German mammography reports

This dataset, Swiss-Mammo, contains 28 manually constructed German mammography
reports, each paired with an English translation. The reports are stratified
across BI-RADS categories 0 through 6, with four reports per category. All
reports were manually created by a radiology resident without the use of
generative AI and independently reviewed by a senior radiologist specialized
in breast imaging to ensure clinical plausibility and linguistic accuracy.

Swiss-Mammo was developed to support research on information extraction from
radiology reports using large language models (LLMs) and frame semantics. The
dataset provides a high-quality, controlled benchmark for evaluating systems
designed to structure free-text radiological narratives. It is particularly
suited for applications in natural language processing, clinical informatics,
and decision support systems in breast imaging.