Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K<n<100K
License:
| license: apache-2.0 | |
| language: | |
| - en | |
| tags: | |
| - clickbait | |
| - not | |
| - binary_classification | |
| task_categories: | |
| - text-classification | |
| - 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 |