Datasets › WikiCLIR

WikiCLIR

Introduced by Shigehiko Schamoni et al. in Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval1 Jun 2014 archive 2025-07-28

WikiCLIR is a large-scale (German-English) retrieval data set for Cross-Language Information Retrieval (CLIR). It contains a total of 245,294 German single-sentence queries with 3,200,393 automatically extracted relevance judgments for 1,226,741 English Wikipedia articles as documents. Queries are well-formed natural language sentences that allow large-scale training of (translation-based) ranking models.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Information Retrieval

License archive 2025-07-28

CC BY-SA 4.0

Modalities archive 2025-07-28

Texts

Languages archive 2025-07-28

English German

Variants archive 2025-07-28

WikiCLIR

1 variant name, as the archive lists them.

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