S2ORC: The Semantic Scholar Open Research Corpus
This resource facilitates text mining research across academic disciplines by providing a unified dataset.
The researchers created S2ORC, a large corpus of 81.1 million English-language academic papers with structured full text for 8.1 million open access papers, annotated with citations, figures, and tables, to serve as the largest publicly-available machine-readable academic text collection.
We introduce S2ORC, a large corpus of 81.1M English-language academic papers spanning many academic disciplines. The corpus consists of rich metadata, paper abstracts, resolved bibliographic references, as well as structured full text for 8.1M open access papers. Full text is annotated with automatically-detected inline mentions of citations, figures, and tables, each linked to their corresponding paper objects. In S2ORC, we aggregate papers from hundreds of academic publishers and digital archives into a unified source, and create the largest publicly-available collection of machine-readable academic text to date. We hope this resource will facilitate research and development of tools and tasks for text mining over academic text.