Datasets:
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:
Create README.md
Browse files
README.md
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---
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annotations_creators:
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- crowdsourced
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language_creators:
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- crowdsourced
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languages:
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- en
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licenses:
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- cc-by-sa-3.0
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- gpl-3.0
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multilinguality:
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- monolingual
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paperswithcode_id: fever
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pretty_name: fever
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size_categories:
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- 100K<n<1M
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source_datasets:
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- extended|climate_fever
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task_categories:
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- text-classification
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task_ids:
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- fact-checking
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---
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### Dataset Summary
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This dataset is extracted from Climate Fever dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html) and processed ready to train and evaluate.
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The training objective is a text classification task - given a claim and evidence, predict if claim is related to evidence.
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