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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.

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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

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Additional Info

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