Create README.md

README.md

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+---
+license: cc-by-sa-4.0
+language:
+- fr
+viewer: false
+task_categories:
+- token-classification
+---
+
+
+> [!NOTE]
+> Dataset origin: https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-5047
+
+
+## Description
+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 licence.
+
+**Note that here we only provided the French split as the all multilingual dataset is 1400GB.**
+
+
+## Citation
+```
+ @misc{11234/1-5047,
+ title = {{DaMuEL} 1.0: A Large Multilingual Dataset for Entity Linking},
+ author = {Kube{\v s}a, David and Straka, Milan},
+ url = {http://hdl.handle.net/11234/1-5047},
+ note = {{LINDAT}/{CLARIAH}-{CZ} digital library at the Institute of Formal and Applied Linguistics ({{\'U}FAL}), Faculty of Mathematics and Physics, Charles University},
+ copyright = {Creative Commons - Attribution-{ShareAlike} 4.0 International ({CC} {BY}-{SA} 4.0)},
+ year = {2023} }
+```