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    • 2023 TREC Deep Learning Track Dataset

    Metadata Updated: July 9, 2025

    The Deep Learning track focuses on IR tasks where a large training set is available, allowing us to compare a variety of retrieval approaches including deep neural networks and strong non-neural approaches, to see what works best in a large-data regime.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://trec.nist.gov/pubs/trec32/papers/Overview_deep.pdf

    Dates

    Metadata Created Date May 15, 2024
    Metadata Updated Date July 9, 2025

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date May 15, 2024
    Metadata Updated Date July 9, 2025
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier ark:/88434/mds2-3259
    Data First Published 2024-05-10
    Language en
    Data Last Modified 2024-05-08 00:00:00
    Category Information Technology:Data and informatics
    Public Access Level public
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 27d0920b-73d7-4641-9bb2-87ebc2662b8e
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/mds2-3259
    License https://www.nist.gov/open/license
    Program Code 006:045
    Related Documents https://trec.nist.gov/pubs/trec32/papers/Overview_deep.pdf
    Source Datajson Identifier True
    Source Hash c84f798d80f64af54304bacca8089b8e5c654da3739e71fde077ca2c32fa3b14
    Source Schema Version 1.1

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