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The data provided is (headline, body, stance) instances, where stance is one of {unrelated, discuss, agree, disagree}. The dataset is provided as two CSVs: | 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_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). | + | *'''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). |
| + | <br /> | ||
| − | The distribution of Stance classes in train_stances.csv is as follows: | + | === Distribution of the data === |
| − | + | The distribution of <code>Stance</code> classes in <code>train_stances.csv</code> is as follows: | |
| − | rows | + | {| class="wikitable" |
| − | 49972 | + | !rows |
| + | !unrelated | ||
| + | !discuss | ||
| + | !agree | ||
| + | !disagree | ||
| + | |- | ||
| + | |49972 | ||
| + | |0.73131 | ||
| + | |0.17828 | ||
| + | |0.0736012 | ||
| + | |0.0168094 | ||
| + | |} | ||
Revision as of 19:57, 3 April 2019
Contents
Fake news Challenge
http://www.fakenewschallenge.org/
Exploring how artificial intelligence technologies could be leveraged to combat fake news.
Stance Detection dataset for FNC1
https://github.com/FakeNewsChallenge/fnc-1
Winner team
First place - Team SOLAT in the SWEN
https://github.com/Cisco-Talos/fnc-1
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 |
