S2ORC: The Semantic Scholar Open Research Corpus

TL;DR

S2ORC is a comprehensive, large-scale open research corpus containing metadata, abstracts, references, and full texts of over 81 million academic papers, designed to advance text mining research in academia.

Contribution

It introduces the largest publicly-available collection of machine-readable academic texts, integrating data from multiple sources with detailed annotations.

Findings

Contains 81.1 million papers with rich metadata

Includes 8.1 million open access papers with full text

Features automatically annotated inline mentions of citations, figures, and tables

Abstract

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.