README.md

metadata

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

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%