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01thesofakillers /jigsaw-toxic-comment-classification-challenge Dataset Description 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: toxic severe_toxic obscene threat insult identity_hate You must create a model which predicts a probability of each type of toxicity for each comment. File descriptions train.csv - the training set, contains comments with their binary labels test.csv - the test set, you must predict the toxicity… See the full description on the dataset page: https://huggingface.co/datasets/thesofakillers/jigsaw-toxic-comment-classification-challenge.tabular100K<n<1M13 likes9.9k downloads2y agoHugging Face02dirtycomputer /Toxic_Comment_Classification_Challenge5 likes164 downloads3y agoHugging Face03tcapelle /jigsaw-toxic-comment-classification-challengetabular100K<n<1M1 likes98 downloads2y agoHugging Face04Johnesss /Jigsaw-Toxic-Comment-Classification10M<n<100M0 likes17 downloads2y agoHugging Face05m375zhan /modified_jigsaw_toxic_comment_classification_challengetabular100K<n<1M0 likes11 downloads2y agoHugging Face06jhan21 /jigsaw-toxic-comment-classificationtabular100K<n<1M0 likes10 downloads2y agoHugging Face07Blast2k3 /jigsaw-toxic-comment-classification-challenge Dataset Description 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: toxic severe_toxic obscene threat insult identity_hate You must create a model which predicts a probability of each type of toxicity for each comment. File descriptions train.csv - the training set, contains comments with their binary labels test.csv - the test set, you must predict the toxicity… See the full description on the dataset page: https://huggingface.co/datasets/Blast2k3/jigsaw-toxic-comment-classification-challenge.tabular100K<n<1M0 likes10 downloads10mo agoHugging Face08Mirenda /jigsaw-toxic-comment-classification-challenge Dataset Description 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: toxic severe_toxic obscene threat insult identity_hate You must create a model which predicts a probability of each type of toxicity for each comment. File descriptions train.csv - the training set, contains comments with their binary labels test.csv - the test set, you must predict the toxicity… See the full description on the dataset page: https://huggingface.co/datasets/Mirenda/jigsaw-toxic-comment-classification-challenge.tabular100K<n<1M0 likes7 downloads6mo agoHugging Face

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