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AuthorAli, Zien Sheikh
AuthorMansour, Watheq
AuthorElsayed, Tamer
AuthorAl-Ali, Abdulaziz
Available date2023-11-25T08:02:23Z
Publication Date2021-01-01
Publication NameWANLP 2021 - 6th Arabic Natural Language Processing Workshop, Proceedings of the Workshop
CitationAli, Z. S., Mansour, W., Elsayed, T., & Al‐Ali, A. (2021, April). AraFacts: the first large Arabic dataset of naturally occurring claims. In Proceedings of the Sixth Arabic Natural Language Processing Workshop (pp. 231-236).‏
ISBN9781954085091
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85113537381&origin=inward
URIhttp://hdl.handle.net/10576/49639
AbstractWe introduce AraFacts, the first large Arabic dataset of naturally-occurring claims collected from 5 Arabic fact-checking websites, e.g., Fatabyyano and Misbar, covering claims since 2016. Our dataset consists of 6,222 claims along with their factual labels and additional metadata, such as fact-checking article content, topical category, and links to posts or Web pages spreading the claim. Since the data is obtained from various fact-checking websites, we standardize the original claim labels to provide a unified label rating for all claims. Moreover, we provide revealing dataset statistics and motivate its use by suggesting possible research applications. The dataset is made publicly available for the research community.
SponsorThis work was made possible by NPRP grant No.: NPRP11S-1204-170060 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherAssociation for Computational Linguistics (ACL)
SubjectLarge dataset
TitleAraFacts: The First Large Arabic Dataset of Naturally-Occurring Professionally-Verified Claims
TypeConference Paper
Pagination231-236
dc.accessType Abstract Only


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