DialDoc 2022

Resources

Research Resources on COVID-19

List of data resources:

  • CORD-19 (English) CORD-19: The Covid-19 Open Research Dataset
  • COUGH (English) COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval
  • COVID-Q (English) What Are People Asking About COVID-19? A Question Classification Dataset
  • Multilingual COVID-QA (Multilingual)
  • Multilingual COVID-QA: Learning towards Global Information Sharing via Web Question Answering in Multiple Languages
  • COVIDQA-pygaggle (English) Rapidly Bootstrapping a Question Answering Dataset for COVID-19
  • TREC-COVID (English)
  • COVID-QA-Deepset (English) COVID-QA: A Question Answering Dataset for COVID-19
  • COVID-Dialogue (English and Chinese) CovidDialog: Medical Dialogue Datasets about COVID-19
  • Weibo-COV Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo
  • COVID-19 (Japanese)
  • NAIST COVID (English, Japanese, Chinese) NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset
  • IRLCov19 (Indian Regional Languages) IRLCov19: A Large COVID-19 Multilingual Twitter Dataset of Indian Regional Languages
  • Mega-COV (Multilingual) Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19
  • CODA-19 (English) CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset
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