Datasets:
Tasks:
Text Classification
Sub-tasks:
fact-checking
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
License:
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Dataset Card for "covidfact_entailment"
Dataset Summary
COVID-FACT is a dataset of claims about COVID-19. For this version of the dataset, we follow the preprocessing from the MultiVerS modeling paper https://github.com/dwadden/multivers, verifying claims against abstracts of scientific research articles. Entailment labels and rationales are included.
Dataset Structure
Data fields
claim_id: Anint32claim identifier.claim: Astring.abstract_id: Anint32abstract identifier.title: Astring.abstract: A list ofstrings, one for each sentence in the abstract.verdict: The fact-checking verdict, astring.evidence: A list of sentences from the abstract which provide evidence for the verdict.
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