File size: 1,859 Bytes
9005e15 88f4bc6 c179022 041f3e5 c179022 9005e15 ff0be33 9961372 ff0be33 9961372 88f4bc6 913255a 88f4bc6 913255a d12183a ed7d95e 913255a d77c84d e1f8e68 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
---
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
---
# 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/)
|