Note Wikipedia: The largest and most widely used Wikipedia dataset on Hugging Face.

Note Wikipedia: Wikipedia communities' article for deletion discussions in English, Turkish, and German, with a focus on stance and policy prediction.

Note Wikipedia: Dataset of Wikipedia articles across all languages, with Wikitext (the Wikimedia markup language) removed.

Note Wikipedia: Dataset based on good and featured articles on Wikipedia.

Note Wikipedia: A image-text dataset based on Wikipedia articles and the associated Wikipedia images.

Note Wikimedia Commons: Dataset leveraging the structured data from Wikidata that the community adds to describe images for the task of visual entity linking, including license information.

Note Wikimedia Commons: A dataset of Wikimedia Commons audio files and transcriptions across languages.

Note Wikimedia Commons: Dataset of public domain images, manually collected for damaged images, paintings, and photographs (collected from Wikimedia Commons)[https://huggingface.co./calm-and-collected/knives_and_time]

Note Wikidata: Links Wikidata to the widely used, but outdated Freebase knowledge Graph.

Note Wikidata: The simple questions dataset, based on Wikidata, on Hugging Face.

Note Wikidata: Dataset of entity labels across languages, extracted from Wikidata.

Note Wikidata: Dataset of 118 million names across 400 languages.

Note Wikisource: Dataset of all Wikisource articles across all languages, without Wikitext.

Note Wiktionary: IPA strings and their respective pronunciation as audio files.

Note Wikinews: Dataset of Wikinews articles without Wikitext across different languages, including the revision timestamp, categories, and sources.

Note Wikinews: Dataset for keyphrase extraction and generation models, including 100 French Wikinews articles.

Note Wikinews: Dataset of cleaned Chinese Wikinews articles from 2023.

Note Wikiquote: Dataset of German quotes and their authors from Wikiquote.

Note Wikiquote: Dataset testing humans’ false believes’ representation in language models. One of the sources is Wikiquote.