Dataset Summary
The data provided is (headline, body, stance) instances, where the stance is one of {unrelated, discuss, agree, disagree}.
Input
- A headline and a body text - either from the same news article or from two different articles.
Output
- Classify the stance of the body text relative to the claim made in the headline into one of four categories:
- Agrees: The body text agrees with the headline.
- Disagrees: The body text disagrees with the headline.
- Discusses: The body text discuss the same topic as the headline, but does not take a position
- Unrelated: The body text discusses a different topic than the headline
The distribution of Stance classes in the entire dataset is as follows:
| rows | unrelated | discuss | agree | disagree |
|---|---|---|---|---|
| 49972 | 0.73131 | 0.17828 | 0.0736012 | 0.016809 |
annotations_creators:
- found language_creators:
- found languages:
- en-US licenses:
- apache-2.0 multilingualism:
- monolingual pretty_name: FNC-1 size_categories:
- unknown source_datasets:
- original task_categories:
- text-classification task_ids:
- multi-class-classification
- natural-language-inference
- multi-label-classification
- intent-classification