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@@ -5,5 +5,34 @@ task_categories:
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  language:
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  - en
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  size_categories:
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- - 10K<n<100K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  language:
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  - en
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  size_categories:
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+ - 1K<n<200K
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+ ---
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+
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+ ### Dataset info
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+ #### Training Dataset:
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+ You are provided with a large number of Wikipedia comments which have been labeled by human raters for toxic behavior. The types of toxicity are:
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+
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+ - toxic
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+ - severe_toxic
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+ - obscene
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+ - threat
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+ - insult
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+ - identity_hate
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+
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+ The original dataset can be found here: [jigsaw_toxic_classification](https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge/data)
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+
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+ Our training dataset is a version from the original dataset, <b>containing equal number of samples from each classes. </b><br>
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+ Number of samples in train_dataset: 25960<br>
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+ Number of samples in val_dataset: 6490<br>
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+ Number of samples in test_dataset: 153164<br>
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+
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+
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+ ### Citation
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+ <pre>
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+ @misc{jigsaw-toxic-comment-classification-challenge,
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+ author = {cjadams, Jeffrey Sorensen, Julia Elliott, Lucas Dixon, Mark McDonald, nithum, Will Cukierski},
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+ title = {Toxic Comment Classification Challenge},
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+ publisher = {Kaggle},
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+ year = {2017},
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+ url = {https://kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge}
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+ }</pre>