FEVER
Systems check 185,445 claims against Wikipedia and label each Supported, Refuted or NotEnoughInfo. Annotators wrote the claims by altering Wikipedia sentences. The full FEVER score also requires the right evidence sentences.
Published at NAACL 2018. The FEVER workshop has run later shared tasks, such as FEVER 2.0, FEVEROUS and AVeriTeC, which are separate datasets. KILT and many retrieval papers reuse the claims.
- Made by
- University of Sheffield and Amazon (Thorne, Vlachos, Christodoulopoulos, Mittal)
- Released
- March 2018
- Kind
- Faithful to sources
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- All public
In the authors’ words
In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification. It consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from. The claims are classified as Supported, Refuted or NotEnoughInfo by annotators achieving 0.6841 in Fleiss κ. For the first two classes, the annotators also recorded the sentence(s) forming the necessary evidence for their judgment. To characterize the challenge of the dataset presented, we develop a pipeline approach and compare it to suitably designed oracles. The best accuracy we achieve on labeling a claim accompanied by the correct evidence is 31.87%, while if we ignore the evidence we achieve 50.91%. Thus we believe that FEVER is a challenging testbed that will help stimulate progress on claim verification against textual sources.
DA / NP tops the leaderboard with 32.6%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 1 DA / NP 32.6%
- 2 DA / RS 23.5%
- 3 MLP / RS 19.4%
- 4 MLP / NP 19%
Source: Official FEVER leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | DA / NP | 32.6% | Official leaderboard | ||
| 2 | DA / RS | 23.5% | Official leaderboard | ||
| 3 | MLP / RS | 19.4% | Official leaderboard | ||
| 4 | MLP / NP | 19% | Official leaderboard |
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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Inkling 2 Small 16.1