CORD-19: The COVID-19 Open Research Dataset

TL;DR

CORD-19 is a comprehensive, evolving dataset of COVID-19 and coronavirus research papers designed to support text mining, information retrieval, and collaborative efforts in understanding and combating the pandemic.

Contribution

This paper introduces the CORD-19 dataset, detailing its construction, usage, and role in facilitating COVID-19 research and text mining efforts.

Findings

Over 200K downloads of the dataset

Supported numerous COVID-19 text mining systems

Enabled collaborative research and shared tasks

Abstract

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval systems over its rich collection of metadata and structured full text papers. Since its release, CORD-19 has been downloaded over 200K times and has served as the basis of many COVID-19 text mining and discovery systems. In this article, we describe the mechanics of dataset construction, highlighting challenges and key design decisions, provide an overview of how CORD-19 has been used, and describe several shared tasks built around the dataset. We hope this resource will continue to bring together the computing community, biomedical experts, and policy makers in the search for effective treatments and management policies for COVID-19.