WikiCLIR
Introduced by Schamoni et al. in Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval
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.
Source:Papers
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