README.md

---
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-description)
  - [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
  - [Data Fields](#data-fields)

## Dataset Description

- **Repository:** <https://github.com/sarrouti/HealthVe>
- **Point of Contact:** [David Wadden](mailto:davidw@allenai.org)

### 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.