mayoooookha/clickbait_detection_dataset
37.870 texts in total, 17.850 NOT clickbait texts and 20.020 CLICKBAIT texts All duplicate values were removed 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) Split: 80/10/10 Train set label distribution: 0 ==> 14.280, 1 ==> 16.016 Validation set label distribution: 0 ==> 1.785, 1 ==> 2.002 Test set label distribution: 0 ==> 1.785, 1 ==> 2.002 The dataset was created from the… See the full description on the dataset page: https://huggingface.co/datasets/mayoooookha/clickbait_detection_dataset.
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- 37.870 texts in total, 17.850 NOT clickbait texts and 20.020 CLICKBAIT texts
- All duplicate values were removed
- 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)
- Split: 80/10/10
- Train set label distribution: 0 ==> 14.280, 1 ==> 16.016
- Validation set label distribution: 0 ==> 1.785, 1 ==> 2.002
- Test set label distribution: 0 ==> 1.785, 1 ==> 2.002
- The dataset was created from the combination of other available datasets online. Their links are available here:
- https://www.kaggle.com/datasets/amananandrai/clickbait-dataset
- https://www.kaggle.com/datasets/thelazyaz/youtube-clickbait-classification?resource=download
- https://www.kaggle.com/datasets/vikassingh1996/news-clickbait-dataset?select=train2.csv
- https://www.kaggle.com/competitions/clickbait-news-detection/data?select=train.csv
- https://www.kaggle.com/competitions/clickbait-news-detection/data?select=valid.csv
- https://zenodo.org/records/6362726#.YsbdSTVBzrk