---
license: apache-2.0

configs:
- config_name: default
  data_files:
  - split: train
    path: "train.csv"
  - split: test
    path: "test.csv"
  - split: validation
    path: "validation.csv"
language:
- en
size_categories:
- 1M<n<10M
tags:
- misinformation
- text
pretty_name: Misinformation Detection Dataset
Modalities:
- Text

---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab7ff5d7ee953f60535b9e/4A71TywMqjPmfiEdqy4KJ.png)

# 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](https://arxiv.org/abs/2104.06952) for further details.

### Team
This dataset is made available by [Complex Data Lab](https://complexdatalabmcgill.github.io/), a group composed of researchers from University of Montreal and McGill University.
The lab is led by [Dr. Reihaneh Rabbany](https://complexdatalabmcgill.github.io/team/reihaneh+rabbany) and [Dr. Jean-François Godbout
](https://jf-godbout.github.io/)


![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63ab7ff5d7ee953f60535b9e/LgNMMbJFsLFV_Th2a8vgZ.jpeg)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab7ff5d7ee953f60535b9e/GSQqT28He0GUx9WO0tSFs.png)