CORD-19
A corpus of academic papers about COVID-19 and related coronavirus research for text mining and NLP.
What is CORD-19?
CORD-19 is a large-scale dataset of academic papers about COVID-19 and coronaviruses, curated to support text mining and natural language processing research. It provides structured metadata, full-text parses, and precomputed document embeddings to help researchers analyze scientific literature efficiently. The dataset was actively updated during the pandemic to include the latest research.
Researchers and data scientists working in NLP, biomedical informatics, or computational linguistics who need access to structured COVID-19 literature for analysis, modeling, or tool development.
It offers a clean, machine-readable corpus with preprocessed embeddings and versioned releases, saving researchers time on data collection and cleaning. Its association with Semantic Scholar ensures quality curation and integration with broader academic resources.
Overview
Get started with CORD-19
Use Cases
Best For
- Training NLP models on biomedical text
- Conducting literature reviews on COVID-19 topics
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