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- ---
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- dataset_info:
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- features:
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- - name: topic
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- dtype: string
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- - name: source
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- dtype: string
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- - name: bias
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- dtype:
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- class_label:
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- names:
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- '0': '0'
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- '2': '2'
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- - name: url
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- dtype: string
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- - name: title
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- dtype: string
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- - name: date
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- dtype: string
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- - name: authors
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- dtype: string
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- - name: content
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- dtype: string
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- - name: content_original
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- dtype: string
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- - name: source_url
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- dtype: string
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- - name: bias_text
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- dtype:
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- class_label:
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- names:
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- '0': left
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- '1': right
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- '2': center
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- - name: ID
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 359171769
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- num_examples: 29258
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- - name: test
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- num_bytes: 15232421
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- num_examples: 1300
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- - name: valid
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- num_bytes: 84576118
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- num_examples: 6996
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- download_size: 273022269
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- dataset_size: 458980308
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: test
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- path: data/test-*
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- - split: valid
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- path: data/valid-*
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ dataset_info:
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+ features:
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+ - name: topic
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+ dtype: string
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+ - name: source
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+ dtype: string
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+ - name: bias
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+ dtype:
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+ class_label:
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+ names:
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+ - name: title
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+ dtype: string
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+ - name: date
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+ dtype: string
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+ - name: authors
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+ dtype: string
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+ - name: content
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+ dtype: string
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+ - name: content_original
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+ dtype: string
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+ - name: source_url
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+ dtype: string
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+ - name: bias_text
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+ dtype:
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+ class_label:
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+ names:
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+ '0': left
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+ '1': right
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+ '2': center
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+ - name: ID
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 342169887
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+ num_examples: 27978
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+ - name: test
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+ num_bytes: 15232421
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+ num_examples: 1300
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+ - name: valid
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+ num_bytes: 84576118
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+ num_examples: 6996
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+ download_size: 262975174
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+ dataset_size: 441978426
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: test
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+ path: data/test-*
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+ - split: valid
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+ path: data/valid-*
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+ license: apache-2.0
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+ language:
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+ - en
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+ pretty_name: News Articles with Political Bias Annotations
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+ ---
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+
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+ # News Articles with Political Bias Annotations (All Articles)
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+
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+ ## Source
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+
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+ Derived from Baly et al.'s work:
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+ [We Can Detect Your Bias: Predicting the Political Ideology of News Articles](https://aclanthology.org/2020.emnlp-main.404/) (Baly et al., EMNLP 2020)
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+
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+ ## Information
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+
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+ This dataset contains **37,554 news articles** manually annotated for political ideology, either "left", "center", or "right".
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+ 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)).
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+
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+ **In the Baly dataset, there are *1280* unsorted articles that are not associated with the train, test, or validation sets. These 1280 articles have been appended to the training set.**
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+ To access the dataset with exactly Baly's splits, see [siddharthmb/article-bias-prediction-random-splits](https://huggingface.co/datasets/siddharthmb/article-bias-prediction-random-splits).