Cross-Lingual Information Retrieval (CLIR) is a retrieval task in which search queries and candidate documents are written in different languages. CLIR can be very useful in some scenarios. For example, a reporter may want to search foreign language news to obtain different perspectives for her story; an inventor may explore the patents in another country to understand prior art.
데이터셋
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CLIRMatrix is a large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval. It includes: * BI-139: A bilingual dataset of queries in one language matched with relevant documents in another language for 139x138=19,182 language pairs, * MULTI-8, a multilingual dataset of queries and documents jointly aligned in 8 different languages. In total, 49 million unique queries and 34 billion (query, document, label) triplets were mined, making CLIRMatrix the largest and most comprehensive CLIR dataset to date. Source: CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval