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 "healthver_entailment"
Dataset Summary
HealthVer is a dataset of public health claims, verified against scientific research articles. For this version of the dataset, we follow the preprocessing from the MultiVerS modeling paper https://github.com/dwadden/multivers, verifying claims against full article abstracts rather than individual sentences. Entailment labels and rationales are included.
Dataset Structure
Data fields
claim_id
: Anint32
claim identifier.claim
: Astring
.abstract_id
: Anint32
abstract 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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