license: apache-2.0
datasets:
- viewer:
- max_preview_rows: 1000
- max_shard_size: 10MB
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: counter-covid-19-misinformation
data_files:
- split: train
path: >-
counter-covid-19-misinformation/counter-covid-19-misinformation_train.parquet
- split: test
path: >-
counter-covid-19-misinformation/counter-covid-19-misinformation_test.parquet
- split: validation
path: >-
counter-covid-19-misinformation/counter-covid-19-misinformation_validation.parquet
- config_name: mm-covid
data_files:
- split: train
path: mm-covid/mm-covid_train.parquet
- split: test
path: mm-covid/mm-covid_test.parquet
- split: validation
path: mm-covid/mm-covid_validation.parquet
- config_name: truthseeker2023
data_files:
- split: train
path: truthseeker2023/truthseeker2023_train.parquet
- split: test
path: truthseeker2023/truthseeker2023_test.parquet
- split: validation
path: truthseeker2023/truthseeker2023_validation.parquet
- config_name: feverous
data_files:
- split: train
path: feverous/feverous_train.parquet
- split: test
path: feverous/feverous_test.parquet
- split: validation
path: feverous/feverous_validation.parquet
- config_name: antivax
data_files:
- split: train
path: antivax/antivax_train.parquet
- split: test
path: antivax/antivax_test.parquet
- split: validation
path: antivax/antivax_validation.parquet
- config_name: nlp4if
data_files:
- split: train
path: nlp4if/nlp4if_train.parquet
- split: test
path: nlp4if/nlp4if_test.parquet
- split: validation
path: nlp4if/nlp4if_validation.parquet
- config_name: IFND
data_files:
- split: train
path: IFND/IFND_train.parquet
- split: test
path: IFND/IFND_test.parquet
- split: validation
path: IFND/IFND_validation.parquet
- config_name: esoc
data_files:
- split: train
path: esoc/esoc_train.parquet
- split: test
path: esoc/esoc_test.parquet
- split: validation
path: esoc/esoc_validation.parquet
- config_name: twitter16
data_files:
- split: train
path: twitter16/twitter16_train.parquet
- split: test
path: twitter16/twitter16_test.parquet
- split: validation
path: twitter16/twitter16_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
- config_name: fakenewsamt
data_files:
- split: train
path: fakenewsamt/fakenewsamt_train.parquet
- split: test
path: fakenewsamt/fakenewsamt_test.parquet
- split: validation
path: fakenewsamt/fakenewsamt_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: 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: wico
data_files:
- split: train
path: wico/wico_train.parquet
- split: test
path: wico/wico_test.parquet
- split: validation
path: wico/wico_validation.parquet
- config_name: checkcovid
data_files:
- split: train
path: checkcovid/checkcovid_train.parquet
- split: test
path: checkcovid/checkcovid_test.parquet
- split: validation
path: checkcovid/checkcovid_validation.parquet
- config_name: benjamin_political_news
data_files:
- split: train
path: benjamin_political_news/benjamin_political_news_train.parquet
- split: test
path: benjamin_political_news/benjamin_political_news_test.parquet
- split: validation
path: benjamin_political_news/benjamin_political_news_validation.parquet
- config_name: pheme
data_files:
- split: train
path: pheme/pheme_train.parquet
- split: test
path: pheme/pheme_test.parquet
- split: validation
path: pheme/pheme_validation.parquet
- config_name: multiclaim
data_files:
- split: train
path: multiclaim/multiclaim_train.parquet
- split: test
path: multiclaim/multiclaim_test.parquet
- split: validation
path: multiclaim/multiclaim_validation.parquet
- config_name: ct_fan
data_files:
- split: train
path: ct_fan/ct_fan_train.parquet
- split: test
path: ct_fan/ct_fan_test.parquet
- split: validation
path: ct_fan/ct_fan_validation.parquet
- config_name: banfakenews
data_files:
- split: train
path: banfakenews/banfakenews_train.parquet
- split: test
path: banfakenews/banfakenews_test.parquet
- split: validation
path: banfakenews/banfakenews_validation.parquet
- config_name: rumors
data_files:
- split: train
path: rumors/rumors_train.parquet
- split: test
path: rumors/rumors_test.parquet
- split: validation
path: rumors/rumors_validation.parquet
- config_name: covid-19-disinformation
data_files:
- split: train
path: covid-19-disinformation/covid-19-disinformation_train.parquet
- split: test
path: covid-19-disinformation/covid-19-disinformation_test.parquet
- split: validation
path: covid-19-disinformation/covid-19-disinformation_validation.parquet
- config_name: climate_fever
data_files:
- split: train
path: climate_fever/climate_fever_train.parquet
- split: test
path: climate_fever/climate_fever_test.parquet
- split: validation
path: climate_fever/climate_fever_validation.parquet
- config_name: defakts
data_files:
- split: train
path: defakts/defakts_train.parquet
- split: test
path: defakts/defakts_test.parquet
- split: validation
path: defakts/defakts_validation.parquet
- config_name: covid_vaccine_misinfo_mic
data_files:
- split: train
path: covid_vaccine_misinfo_mic/covid_vaccine_misinfo_mic_train.parquet
- split: test
path: covid_vaccine_misinfo_mic/covid_vaccine_misinfo_mic_test.parquet
- split: validation
path: covid_vaccine_misinfo_mic/covid_vaccine_misinfo_mic_validation.parquet
- config_name: pubhealthtab
data_files:
- split: train
path: pubhealthtab/pubhealthtab_train.parquet
- split: test
path: pubhealthtab/pubhealthtab_test.parquet
- split: validation
path: pubhealthtab/pubhealthtab_validation.parquet
- config_name: fake_news_corpus
data_files:
- split: train
path: fake_news_corpus/fake_news_corpus_train.parquet
- split: test
path: fake_news_corpus/fake_news_corpus_test.parquet
- split: validation
path: fake_news_corpus/fake_news_corpus_validation.parquet
- config_name: ti_cnn
data_files:
- split: train
path: ti_cnn/ti_cnn_train.parquet
- split: test
path: ti_cnn/ti_cnn_test.parquet
- split: validation
path: ti_cnn/ti_cnn_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 surveyed (mis)information datasets in the literature, collected those that are accessible, and made them available here in a unified repository. We also harmonized all original factuality labels into a single variable named veracity, which includes three categories: true, false, and unknown. We further analyzed the quality of these datasets with the results presented in the table below. This is a live repository, and we add more datasets as they become available. If you would like to contribute a novel dataset or report any issues, please email us or visit our GitHub.
Currently, we have 36 claims datasets and 9 paragraph datasets in the repository listed below, where the columns indicate three quality checks: keyword and temporal columns indicate spurious correlations in the data, and feasibility indicates if the majority of the data points have enough information to be verified in the first place. Please refer to our paper for further details.
We also present the subject counts and the language coverage present in these datasets.
Note for Users
The large number of NA values is expected. Given that we have merged multiple datasets with different variables, there are a large number of missing values (NA) for variables not relevant to records from each specific dataset. Variables referring to the same type of information, but labelled differently (e.g. claim, text, tweet, etc.), were standardized under a common name (e.g. claim). In contrast, variables unique to a specific dataset and not present in others retained their original names. As a result, these variables appear as missing (NA) in other datasets where they were not originally present.
As a result of merging datasets with different codings, some variables may contain equivalent observations expressed in different forms. For instance, the country variable may include values such as US, usa, and United States. Further data cleaning is recommended for non-standarized variables.
Data pre-processing
These scripts were designed to transform the data format from the original CSV file to the Parquet files.
The pre-processing can be summarized as the following steps:
Mapping the Veracity from a number/null value to a string-like boolean: 1 --> True, 2 --> False, 3 --> unknown, null --> na, etc.
The columns are reordered so that the "veracity" column is 2nd and the "dataset" column is 3rd. No other order changes will be made.
Converting all the "null" to "na" and all data to string type
Making the "split" column evenly distributed
Converting from csv format to parquet format
Splitting the parquet file into 3 categories (train, test, validation)
Splitting the train, test, and validation files into versions per dataset
For More Information
C. Thibault et al., 'A Guide to Misinformation Detection Data and Evaluation', arXiv [cs.SI]. 2025.
Citation Information
@article{thibault2025guidemisinformationdetectiondata,
title={A Guide to Misinformation Detection Data and Evaluation},
author={Camille Thibault and Jacob-Junqi Tian and Gabrielle Peloquin-Skulski and Taylor Lynn Curtis and James Zhou and Florence Laflamme and Yuxiang Guan and Reihaneh Rabbany and Jean-François Godbout and Kellin Pelrine},
year={2025},
eprint={2411.05060},
archivePrefix={arXiv},
primaryClass={cs.SI},
url={https://arxiv.org/abs/2411.05060},
}