We present DaMuEL, a large Multilingual Dataset for Entity Linking containing
data in 53 languages. DaMuEL consists of two components: a knowledge base that
contains language-agnostic information about entities, including their claims
from Wikidata and named entity types (PER, ORG, LOC, EVENT, BRAND, WORK_OF_ART,
MANUFACTURED); and Wikipedia texts with entity mentions linked to the knowledge
base, along with language-specific text from Wikidata such as labels, aliases,
and descriptions, stored separately for each language. The Wikidata QID is used
as a persistent, language-agnostic identifier, enabling the combination of the
knowledge base with language-specific texts and information for each entity.
Wikipedia documents deliberately annotate only a single mention for every
entity present; we further automatically detect all mentions of named entities
linked from each document. The dataset contains 27.9M named entities in the
knowledge base and 12.3G tokens from Wikipedia texts. The dataset is published
under the CC BY-SA license at this https URL

介绍一个包涵 53 种语言数据的 DaMuEL 多语言实体链接大规模数据集，它包含一个关于实体的语言无关信息的知识库和与实体链接到知识库的维基百科文本，使用 Wikidata 的 QID 作为持久的语言无关标识符。