metadata
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: train.parquet
- split: test
path: test.parquet
- split: validation
path: validation.parquet
- config_name: twitter15
data_files:
- split: train
path: twitter15/twitter15_train.parquet
- split: test
path: twitter15/twitter15_test.parquet
- split: validation
path: twitter15/twitter15_validation.parquet
- config_name: verite
data_files:
- split: train
path: verite/verite_train.parquet
- split: test
path: verite/verite_test.parquet
- split: validation
path: verite/verite_validation.parquet
- config_name: liar_new
data_files:
- split: train
path: liar_new/liar_new_train.parquet
- split: test
path: liar_new/liar_new_test.parquet
- split: validation
path: liar_new/liar_new_validation.parquet
- config_name: coaid
data_files:
- split: train
path: coaid/coaid_train.parquet
- split: test
path: coaid/coaid_test.parquet
- split: validation
path: coaid/coaid_validation.parquet
- config_name: fibvid
data_files:
- split: train
path: fibvid/fibvid_train.parquet
- split: test
path: fibvid/fibvid_test.parquet
- split: validation
path: fibvid/fibvid_validation.parquet
- config_name: isot_fake_news
data_files:
- split: train
path: isot_fake_news/isot_fake_news_train.parquet
- split: test
path: isot_fake_news/isot_fake_news_test.parquet
- split: validation
path: isot_fake_news/isot_fake_news_validation.parquet
- config_name: snopes
data_files:
- split: train
path: snopes/snopes_train.parquet
- split: test
path: snopes/snopes_test.parquet
- split: validation
path: snopes/snopes_validation.parquet
- config_name: hover
data_files:
- split: train
path: hover/hover_train.parquet
- split: test
path: hover/hover_test.parquet
- split: validation
path: hover/hover_validation.parquet
- config_name: fa_kes
data_files:
- split: train
path: fa_kes/fa_kes_train.parquet
- split: test
path: fa_kes/fa_kes_test.parquet
- split: validation
path: fa_kes/fa_kes_validation.parquet
- config_name: cmu_miscov19
data_files:
- split: train
path: cmu_miscov19/cmu_miscov19_train.parquet
- split: test
path: cmu_miscov19/cmu_miscov19_test.parquet
- split: validation
path: cmu_miscov19/cmu_miscov19_validation.parquet
- config_name: celebrity
data_files:
- split: train
path: celebrity/celebrity_train.parquet
- split: test
path: celebrity/celebrity_test.parquet
- split: validation
path: celebrity/celebrity_validation.parquet
- config_name: claimskg
data_files:
- split: train
path: claimskg/claimskg_train.parquet
- split: test
path: claimskg/claimskg_test.parquet
- split: validation
path: claimskg/claimskg_validation.parquet
- config_name: covid_19_rumor
data_files:
- split: train
path: covid_19_rumor/covid_19_rumor_train.parquet
- split: test
path: covid_19_rumor/covid_19_rumor_test.parquet
- split: validation
path: covid_19_rumor/covid_19_rumor_validation.parquet
- config_name: covidfact
data_files:
- split: train
path: covidfact/covidfact_train.parquet
- split: test
path: covidfact/covidfact_test.parquet
- split: validation
path: covidfact/covidfact_validation.parquet
- config_name: x_fact
data_files:
- split: train
path: x_fact/x_fact_train.parquet
- split: test
path: x_fact/x_fact_test.parquet
- split: validation
path: x_fact/x_fact_validation.parquet
- config_name: mediaeval
data_files:
- split: train
path: mediaeval/mediaeval_train.parquet
- split: test
path: mediaeval/mediaeval_test.parquet
- split: validation
path: mediaeval/mediaeval_validation.parquet
- config_name: fakecovid
data_files:
- split: train
path: fakecovid/fakecovid_train.parquet
- split: test
path: fakecovid/fakecovid_test.parquet
- split: validation
path: fakecovid/fakecovid_validation.parquet
- config_name: fever
data_files:
- split: train
path: fever/fever_train.parquet
- split: test
path: fever/fever_test.parquet
- split: validation
path: fever/fever_validation.parquet
- config_name: faviq
data_files:
- split: train
path: faviq/faviq_train.parquet
- split: test
path: faviq/faviq_test.parquet
- split: validation
path: faviq/faviq_validation.parquet
- config_name: liar
data_files:
- split: train
path: liar/liar_train.parquet
- split: test
path: liar/liar_test.parquet
- split: validation
path: liar/liar_validation.parquet
language:
- en
size_categories:
- 1M<n<10M
tags:
- misinformation
- text
pretty_name: Misinformation Detection Datasets
Modalities:
- Text
CDL Misinfo Detection Datasets
Dataset Description
- Homepage: https://misinfo-datasets.complexdatalab.com/
- Repository: https://github.com/ComplexData-MILA/misinfo-datasets
- Paper: https://arxiv.org/abs/2411.05060
- Data Processing Script: https://github.com/ComplexData-MILA/misinfo-dataset-preprocessing
Datasets Summary
Misinformation is a challenging societal issue, and mitigating solutions are difficult to create due to data deficiencies. To address this problem, we have curated the largest collection of (mis)information datasets in the literature, totaling 75. From these, we evaluated the quality of all of the 36 datasets that consist of statements or claims. If you would like to contribute a novel dataset or report any issues, please email us or visit our GitHub. Please refer to our paper for further details.
Note for Users
Please be noted that some different labels may refer to the same thing. For example USA, United States and united states. This is due to the discrepency in labeling originated from the original datasets. Further data cleaning is recommended upon usage.
Data pre-processing
These scripts were designed to transform the dataformat from the original CSV file to the parquet files.
Team
This dataset is made available by Complex Data Lab, a group composed of researchers from University of Montreal and McGill University. The lab is led by Dr. Reihaneh Rabbany and Dr. Jean-François Godbout
Citation Information
@article{
title={A Guide to Misinformation Detection Datasets},
author={Camille Thibault, Gabrielle Peloquin-Skulski, Jacob-Junqi Tian, Florence Laflamme, Yuxiang Guan, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine},
journal={ArXiv},
year={2024},
volume={abs/2411.05060}
}