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  license: apache-2.0
 
 
 
 
 
 
 
 
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  license: apache-2.0
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+ language:
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+ - en
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+ tags:
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+ - clickbait
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+ - not
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+ - binary_classification
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+ task_categories:
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+ - text-classification
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  ---
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+
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+ - 37.870 texts in total, 17.850 NOT clickbait texts and 20.020 CLICKBAIT texts
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+ - All duplicate values were removed
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+ - Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
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+ - Split: 80/10/10
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+ - Train set label distribution: 0 ==> 14.280, 1 ==> 16.016
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+ - Validation set label distribution: 0 ==> 1.785, 1 ==> 2.002
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+ - Test set label distribution: 0 ==> 1.785, 1 ==> 2.002
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+
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+ - The dataset was created from the combination of other available datasets online. Their links are available here:
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+ - https://www.kaggle.com/datasets/amananandrai/clickbait-dataset
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+ - https://www.kaggle.com/datasets/thelazyaz/youtube-clickbait-classification?resource=download
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+ - https://www.kaggle.com/datasets/vikassingh1996/news-clickbait-dataset?select=train2.csv
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+ - https://www.kaggle.com/competitions/clickbait-news-detection/data?select=train.csv
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+ - https://www.kaggle.com/competitions/clickbait-news-detection/data?select=valid.csv
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+ - https://zenodo.org/records/6362726#.YsbdSTVBzrk