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    • 2023 TREC Deep Learning Track Dataset

    Metadata Updated: May 15, 2024

    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 May 15, 2024
    Data Update Frequency irregular

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date May 15, 2024
    Metadata Updated Date May 15, 2024
    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
    Data Update Frequency irregular
    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 5436e23b-9d51-4e10-a6dc-c744ad32a4f5
    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 cdddb7f1e260ec313ccd6a6262bc4ed2e72d0612aabb802879f430d7b7e39822
    Source Schema Version 1.1

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