Name: AraFacts
Description: 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
Provider: Qatar University
Paper Title: AraFacts: The First Large Arabic Dataset of Naturally Occurring Claims
Tasks: topic classification, claim verification
Venue Name: Arabic Natural Language Processing Workshop
Authors: Zien Sheikh Ali,Watheq Mansour,Tamer Elsayed,A. Al-Ali
Abstract: We introduce AraFacts, the first large Arabic dataset of naturally occurring claims collected from 5 Arabic fact-checking websites, e.g., Fatabyyano and Misbar, and covering claims since 2016. Our dataset consists of 6,121 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.