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MS MARCO

MS MARCO is a dataset designed for reading comprehension and retrieval tasks, containing 8.8 million passages collected from Bing's results to 1 million queries. It is used to evaluate the effectiveness of neural ranking models.

Data and Resources

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Cite this as

Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng (2024). Dataset: MS MARCO. https://doi.org/10.57702/y9ev8opk

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update November 25, 2024
Defined In https://doi.org/10.48550/arXiv.1904.07531
Citation
  • https://doi.org/10.48550/arXiv.2004.12832
  • https://doi.org/10.48550/arXiv.1911.03407
Version v1.1
Author Tri Nguyen
More Authors
Mir Rosenberg
Xia Song
Jianfeng Gao
Saurabh Tiwary
Rangan Majumder
Li Deng
Homepage https://microsoft.github.io/msmarco/