Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
fact-checking
Languages:
English
Size:
100K - 1M
License:
| 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. |