Datasets:

Sub-tasks:
fact-checking
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
extended|fever
Tags:
License:
albertvillanova's picture
Fix `license` metadata (#1)
14aba00
metadata
annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
language:
  - en
license:
  - cc-by-sa-3.0
  - gpl-3.0
multilinguality:
  - monolingual
paperswithcode_id: fever
pretty_name: fever
size_categories:
  - 100K<n<1M
source_datasets:
  - extended|fever
task_categories:
  - text-classification
task_ids:
  - fact-checking

Dataset Summary

This dataset is extracted from Fever dataset (https://fever.ai), pre-processed and ready to train and evaluate. The training objective is a text classification task - given a claim and evidence, predict if evidence is related to claim.