This repository contains the data to accompany 'Automated Fact-Checking of Claims from Wikipedia'.
Contents as follows:
.
│
├── wikifactcheck-en_full0.jsonl
├── wikifactcheck-en_full1.jsonl
├── wikifactcheck-en_full2.jsonl
├── wikifactcheck-en_full3.jsonl
├── wikifactcheck-en_full4.jsonl
│
├── wikifactcheck-en_test.jsonl
└── wikifactcheck-en_train.jsonl
As explained in the paper, the annotated portion of the corpus is split into train and test sets.
The entirety of the data (including annotated as well as non-annotated) is contained in the full sets, split into 5 for space constraints.
You may want to make use of the provided loading script to make use of the dataset in your code. Tip: add the repository directory to your PATH so that you can use the script in your project folder.
usage: loadwfc-en.py [-h] [-d] [-f]
[-r [{train,test,full} [{train,test,full} ...]]]
[-n NUMLINES] [-t {json,python}]
optional arguments:
-h, --help show this help message and exit
-d, --download download dataset
-f, --force force re-download?
-r [{train,test,full} [{train,test,full} ...]], --read [{train,test,full} [{train,test,full} ...]]
read from particular datasets (default: all)
-n NUMLINES, --numlines NUMLINES
numlines to read from each one
-t {json,python}, --fmt {json,python}
output format for --read option
Citation:
@InProceedings{wikifactchkeng:2020:LREC,
author = {Sathe, Aalok and Ather, Salar and Le, Tuan Manh and Perry, Nathan and Park, Joonsuk},
title = {Automated Fact-Checking of Claims from Wikipedia},
booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference},
month = {May},
year = {2020},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {6874--6882},
url = {https://www.aclweb.org/anthology/2020.lrec-1.849}
}