/fnc-1

Primary LanguagePython

Stance Detection dataset for FNC-1

For details of the task, see FakeNewsChallenge.org

The data provided is (headline, body, stance) instances, where stance is one of {unrelated, discuss, agree, disagree}. The dataset is provided as two CSVs:

train_bodies.csv

This file contains the body text of articles (the articleBody column) with corresponding IDs (Body ID)

train_stances.csv

This file contains the labeled stances (the Stance column) for pairs of article headlines (Headline) and article bodies (Body ID, referring to entries in train_bodies.csv).

Distribution of the data

The distribution of Stance classes in train_stances.csv is as follows:

rows unrelated discuss agree disagree
49972 0.73131 0.17828 0.0736012 0.0168094

Credits:

  • Edward Misback
  • Craig Pfeifer