TREC Deep Learning 2020

Large-scale passage retrieval aims to fetch relevant passages from a million- or billion-scale collection for a given query to meet users’ information needs, serving as an important role in many downstream applications including open domain question answering, search engine, and recommendation system.

Data and Resources

Cite this as

Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang (2024). Dataset: TREC Deep Learning 2020. https://doi.org/10.57702/7h9bvtiy

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2208.13661
Author Kai Zhang
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Chongyang Tao
Tao Shen
Can Xu
Xiubo Geng
Binxing Jiao
Daxin Jiang
Homepage https://trec.nist.gov/pubs/trec29/papers/OVERVIEW.DL.pdf