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Datasets:
mwong
/
fever-claim-related

Tasks:
Text Classification
Sub-tasks: fact-checking
Languages: English
Multilinguality: monolingual
Size Categories: 100K<n<1M
Language Creators: crowdsourced
Annotations Creators: crowdsourced
Source Datasets: extended|climate_fever
Tags:
License:
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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|climate_fever
task_categories:
  - text-classification
task_ids:
  - fact-checking

Dataset Summary

This dataset is extracted from Climate Fever dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html), pre-processed and ready to train and evaluate. The training objective is a text classification task - given a claim and evidence, predict if claim is related to evidence.