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FEVER: A Large-Scale Dataset for Fact Extraction and Verification
The FEVER dataset consists of 185,455 annotated claims, together with 5,416,537 Wikipedia documents containing roughly 25 million sentences as potential evidence. -
FAKTA: An Automatic End-to-End Fact Checking System
FAKTA is a unified framework that integrates various components of a fact checking process: document retrieval from media sources with various types of reliability, stance... -
FakeCovid - A Multilingual Cross-domain Fact Check News Dataset for COVID-19
The FakeCovid dataset contains 5182 fact-checked news articles for COVID-19 collected from January to May 2020.
