Published November 4, 2022 | Version 1.0.0
Dataset Restricted

SMAuC - The Scientific Multi-Authorship Corpus

  • 1. Bauhaus-Universität Weimar
  • 2. Leipzig University


The rapidly growing volume of scientific publications offers an interesting challenge for research on methods for analyzing the authorship of documents with one or more authors. However, most existing datasets are inadequate, lacking scientific documents or necessary metadata. We introduce SMAuC, a comprehensive, metadata-rich corpus tailored for scientific authorship analysis. Comprising over 3 million publications across various disciplines from over 5 million authors, SMAuC is the largest openly accessible corpus for this purpose. It encompasses scientific texts from humanities and natural sciences, accompanied by extensive, curated metadata, including unambiguous author IDs. SMAuC aims to significantly advance the domain of authorship analysis in scientific texts.



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