ΑΙhub.org
 

COVID-19 Open Research Dataset (CORD-19) now available for researchers


by
17 March 2020



share this:
CORD-19 dataset

On 16 March the COVID-19 Open Research Dataset (CORD-19) was released. This comprises an open-source, machine-readable collection of scholarly literature covering COVID-19, SARS-CoV-2, and the Coronavirus group. This free resource contains over 29,000 relevant scholarly articles, including over 13,000 with full text.

The release of the dataset is a result of a collaborate effort between the Allen Institute for AI, Chan Zuckerberg Initiative, Georgetown University, Microsoft, and the US National Library of Medicine (NLM). This resource is intended to mobilize researchers to apply recent advances in natural language processing to generate new insights in support of the fight against this infectious disease.

The CORD-19 dataset is available on the Allen Institute’s SemanticScholar.org website and will continue to be updated as new research is published in archival services and peer-reviewed publications.

Kaggle is hosting a challenge using this dataset and at present there are 10 initial tasks for people to work on. These key scientific questions have been drawn from the National Academies of Sciences, Engineering, and Medicine’s research topics and the World Health Organization’s R&D Blueprint for COVID-19.

Links:

You can access the official webpage for CORD-19 here .
Find the kaggle challenge page here.




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



Interview with Onur Boyar: Drug and material design using generative models and Bayesian optimization

  09 May 2025
Find out how Onur is applying machine learning techniques to bioinformatics-related problems.

2025 AI Index Report

  08 May 2025
Read the latest edition of the AI Index Report which tracks and visualises data related to AI.

Defending against prompt injection with structured queries (StruQ) and preference optimization (SecAlign)

  06 May 2025
Recent advances in LLMs enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them.

Forthcoming machine learning and AI seminars: May 2025 edition

  05 May 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 5 May and 30 June 2025.

Competition open for images of “digital transformation at work”

Digit and Better Images of AI have teamed up to launch a competition to create more realistic stock images of "digital transformation at work"
monthly digest

AIhub monthly digest: April 2025 – aligning GenAI with technical standards, ML applied to semiconductor manufacturing, and social choice problems

  30 Apr 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence