Datasets:
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---
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)). |