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Fact Verification datasets
archive 2025-07-28
17 datasets carry the task tag "Fact Verification" (the task itself: Fact Verification), ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Fact Verification datasets 1–17 of 17
FEVER (Fact Extraction and VERification)
FEVER is a publicly available dataset for fact extraction and verification against textual sources.
498 papers · 3 benchmarks
KILT (Knowledge Intensive Language Tasks) is a benchmark consisting of 11 datasets representing 5 types of tasks: Fact-checking (FEVER), Entity linking (AIDA CoNLL-YAGO, WNED-WIKI, WNED-CWEB), Slot filling (T-Rex, Zero Shot RE), Open…
117 papers · 11 benchmarks
FEVEROUS (Fact Extraction and VERification Over Unstructured and Structured information)
FEVEROUS (Fact Extraction and VERification Over Unstructured and Structured information) is a fact verification dataset which consists of 87,026 verified claims.
46 papers · 0 benchmarks
VitaminC (Fact Verification with Contrastive Evidence)
The VitaminC dataset contains more than 450,000 claim-evidence pairs for fact verification and factual consistent generation.
42 papers · 0 benchmarks
Is a dataset for many-hop evidence extraction and fact verification.
35 papers · 0 benchmarks
A testbed for commonsense reasoning about entity knowledge, bridging fact-checking about entities with commonsense inferences.
30 papers · 0 benchmarks
Fact-checking (FC) articles which contains pairs (multimodal tweet and a FC-article) from snopes.com.
22 papers · 1 benchmark
Fact-checking (FC) articles which contains pairs (multimodal tweet and a FC-article) from politifact.com.
20 papers · 1 benchmark
AVeriTeC (AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web)
AVeriTeC (Automated Verification of Textual Claims) is a dataset of 4568 real-world claims covering fact-checks by 50 different organizations.
17 papers · 1 benchmark
X-FACT is a large publicly available multilingual dataset for factual verification of naturally existing real-world claims.
16 papers · 0 benchmarks
FaVIQ (Fact Verification from Information-seeking Questions)
FaVIQ (Fact Verification from Information-seeking Questions) is a challenging and realistic fact verification dataset that reflects confusions raised by real users.
15 papers · 0 benchmarks
A large-scale dataset that consists of 21,184 claims, where each claim is assigned a truthfulness label and ruling statement, with 58,523 pieces of evidence in the form of text and images.
10 papers · 0 benchmarks
FACTIFY (a dataset on multi-modal fact verification)
FACTIFY is a dataset on multi-modal fact verification.
4 papers · 0 benchmarks
The LIAR dataset has been widely followed by fake news detection researchers since its release, and along with a great deal of research, the community has provided a variety of feedback on the dataset to improve it.
4 papers · 1 benchmark
We present a dataset, DANFEVER, intended for claim verification in Danish.
3 papers · 1 benchmark
- CFEVER is a Chinese Fact Extraction and VERification dataset published at AAAI 2024.
1 paper · 0 benchmarks
Intermediate annotations from the FEVER dataset that describe original facts extracted from Wikipedia and the mutations that were applied, yielding the claims in FEVER.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.