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Data · dataset · 2022

CORD-19

Listed in Hugging Face Datasets

The Covid-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on Covid-19 and related historical coronavirus research.

Description

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 75K times and has served as the basis of many Covid-19 text mining and discovery systems.

The dataset itself isn't defining a specific task, but there is a Kaggle challenge that define 17 open research questions to be solved with the dataset: kaggle.com/allen-institute-for-ai/CORD-19-research-challenge/tasks

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
other
Inferred from text
Text 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsallenai/cord1912 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:othersource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0