In the span of a week, a unique cooperative effort between academic, government and industry researchers has produced a new, structured dataset that the worldwide machine learning community can use to advance COVID-19 research. The COVID-19 Open Research Dataset (CORD-19) is comprised of more than 24,000 scholarly articles (including more than 10,000 full-text artciles) about coronavirus family viruses, goes live on Monday at SemanticScholar.org. It’s the most extensive machine-readable coronavirus literature collection available for data and text mining to date.
