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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

Source Data

FNC-1 Official webpage.

  • 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
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