---
language:
- en
license: apache-2.0
task_categories:
- text-classification
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: int64
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 13808068
    num_examples: 3490
  - name: validation
    num_bytes: 4188707
    num_examples: 997
  - name: test
    num_bytes: 1894841
    num_examples: 499
  download_size: 11883549
  dataset_size: 19891616
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---

Dataset Source: [Fake News Detection Challenge KDD 2020](https://www.kaggle.com/competitions/fakenewskdd2020/data)

This is a copied and reformatted version of the Fake News Detection Challenge KDD 2020.
We use the raw train.csv from the official Kaggle Dataset and split the data into train, validation, and test sets.

- text: text of the article

- label: a label that marks the article as potentially unreliable
  - 1: fake
  - 0: true

Datasets Distribution:
- Train: 70%
- Val: 20%
- Test: 10%