Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
Commit
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README.md
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license: apache-2.0
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---
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---
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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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- 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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- 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
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