metadata

license: apache-2.0
dataset_info:
  splits:
    - name: train
      num_bytes: 100367999
      num_examples: 84437
    - name: validation
      num_bytes: 5243405
      num_examples: 4401
  download_size: 41596430
  dataset_size: 105611404
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