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 three 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.