README.md

---
dataset_info:
  features:
  - name: topic
    dtype: string
  - name: source
    dtype: string
  - name: bias
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
          '2': '2'
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: date
    dtype: string
  - name: authors
    dtype: string
  - name: content
    dtype: string
  - name: content_original
    dtype: string
  - name: source_url
    dtype: string
  - name: bias_text
    dtype:
      class_label:
        names:
          '0': left
          '1': right
          '2': center
  - name: ID
    dtype: string
  splits:
  - name: train
    num_bytes: 342169887
    num_examples: 27978
  - name: test
    num_bytes: 15232421
    num_examples: 1300
  - name: valid
    num_bytes: 84576118
    num_examples: 6996
  download_size: 262975174
  dataset_size: 441978426
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: valid
    path: data/valid-*
license: apache-2.0
language:
- en
pretty_name: News Articles with Political Bias Annotations (Random Splits)
---

# News Articles with Political Bias Annotations (Random Splits)

## Source

Derived from Baly et al.'s work:
[We Can Detect Your Bias: Predicting the Political Ideology of News Articles](https://aclanthology.org/2020.emnlp-main.404/) (Baly et al., EMNLP 2020)

## Information

This dataset contains **36,274 news articles** manually annotated for political ideology, either "left", "center", or "right".
This version contains **randomly selected** test/training/validation splits, identical to those used by Baly (according to their [git repository](https://github.com/ramybaly/Article-Bias-Prediction)).