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We present DaMuEL, a large Multilingual Dataset for Entity Linking containingdata in 53 languages. DaMuEL consists of two components: a knowledge base thatcontains language-agnostic information about entities, including their claimsfrom Wikidata and named entity types (PER, ORG, LOC, EVENT, BRAND, WORK_OF_ART,MANUFACTURED); and Wikipedia texts with entity mentions linked to the knowledgebase, along with language-specific text from Wikidata such as labels, aliases,and descriptions, stored separately for each language. The Wikidata QID is usedas a persistent, language-agnostic identifier, enabling the combination of theknowledge base with language-specific texts and information for each entity.Wikipedia documents deliberately annotate only a single mention for everyentity present; we further automatically detect all mentions of named entitieslinked from each document. The dataset contains 27.9M named entities in theknowledge base and 12.3G tokens from Wikipedia texts. The dataset is publishedunder the CC BY-SA license at https://hdl.handle.net/11234/1-5047.

DaMuEL: A Large Multilingual Dataset for Entity Linking