README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - en
license:
  - cc-by-nc-2.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - fact-checking
pretty_name: HealthVer
dataset_info:
  features:
    - name: claim_id
      dtype: int32
    - name: claim
      dtype: string
    - name: abstract_id
      dtype: int32
    - name: title
      dtype: string
    - name: abstract
      sequence: string
    - name: verdict
      dtype: string
    - name: evidence
      sequence: int32
  splits:
    - name: train
      num_bytes: 9490482
      num_examples: 5292
    - name: validation
      num_bytes: 1707997
      num_examples: 940
    - name: test
      num_bytes: 1620257
      num_examples: 903
  download_size: 3610222
  dataset_size: 12818736

Dataset Card for "healthver_entailment"

Table of Contents

• Dataset Description
  • Dataset Summary
• Dataset Structure
  • Data Fields

Dataset Description

• Repository: https://github.com/sarrouti/HealthVe
• Point of Contact: David Wadden

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.