Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
fact-checking
Languages:
English
Size:
100K - 1M
License:
annotations_creators: | |
- crowdsourced | |
language_creators: | |
- crowdsourced | |
languages: | |
- en | |
licenses: | |
- 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) and processed ready to train and evaluate. | |
The training objective is a text classification task - given a claim (text_0) and evidence (text_1), predict if evidence is related to claim. |