FakeNewsChallenge / Fnc 1
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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
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