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Datasets:
dwadden
/
healthver_entailment

Tasks:
Text Classification
Sub-tasks:
fact-checking
Languages:
English
Size:
1K<n<10K
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: An int32 claim identifier.
  • claim: A string.
  • abstract_id: An int32 abstract identifier.
  • title: A string.
  • abstract: A list of strings, one for each sentence in the abstract.
  • verdict: The fact-checking verdict, a string.
  • evidence: A list of sentences from the abstract which provide evidence for the verdict.
Downloads last month
148
Repository:
github.com
Point of Contact:
David Wadden
Total file size:
10.8 kB

Models trained or fine-tuned on dwadden/healthver_entailment