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
language:
  - en
size_categories:
  - 1M<n<10M
tags:
  - misinformation
  - text
pretty_name: Misinformation Detection Dataset
Modalities:
  - Text

Misinfo Detection Dataset

Dataset Description

Homepage: https://yxguan.github.io/ComplexData-Misinfo-test1/
Repository: https://github.com/ComplexData-MILA/misinfo-datasets
Paper: https://arxiv.org/abs/2104.06952

Dataset 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 72. From these, we evaluated the quality of all of the 32 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.

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