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TREC 2022 NeuCLIR Dataset

Metadata Updated: July 9, 2025

Cross-language Information Retrieval (CLIR) has been studied at TREC and subsequent evaluation forums for more than twenty years, but recent advances in the application of deep learning to information retrieval (IR) warrant a new, large-scale effort that will enable exploration of classical and modern IR techniques for this task.

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/trec31/papers/Overview_neuclir.pdf

Dates

Metadata Created Date September 11, 2024
Metadata Updated Date July 9, 2025

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date September 11, 2024
Metadata Updated Date July 9, 2025
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-3289
Data First Published 2024-05-29
Language en
Data Last Modified 2023-02-01 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 86ddd5f7-6b77-4e02-a986-4a32562ea6a1
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://data.nist.gov/od/id/mds2-3289
License https://www.nist.gov/open/license
Program Code 006:045
Related Documents https://trec.nist.gov/pubs/trec31/papers/Overview_neuclir.pdf
Source Datajson Identifier True
Source Hash 5552eeb64448490273bac06a4c69394a3fa165edfdf66fb7d1beaf9dbb22e5f3
Source Schema Version 1.1

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