TREC-COVID

The TREC-COVID dataset is a collection of journal articles related to COVID-19 and other coronaviruses, with human annotators providing relevancy judgments at the end of each round of competition.

Data and Resources

Cite this as

Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li (2024). Dataset: TREC-COVID. https://doi.org/10.57702/uc7k890s

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2007.02492
Citation
  • https://doi.org/10.48550/arXiv.2205.03284
  • https://doi.org/10.48550/arXiv.2202.05144
  • https://doi.org/10.48550/arXiv.2007.03106
  • https://doi.org/10.48550/arXiv.2008.12353
  • https://doi.org/10.48550/arXiv.2106.08252
Author Zhenghao Liu
More Authors
Han Zhang
Chenyan Xiong
Zhiyuan Liu
Yu Gu
Xiaohua Li
Homepage https://github.com/NEUIR/ConAE