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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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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 likes13k downloads2y agoHugging Face02tcapelle /jigsaw-toxic-comment-classification-challengetabular100K<n<1M1 likes102 downloads2y agoHugging Face03m375zhan /modified_jigsaw_toxic_comment_classification_challengetabular100K<n<1M0 likes11 downloads2y agoHugging Face04Blast2k3 /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 likes11 downloads9mo agoHugging Face05jhan21 /jigsaw-toxic-comment-classificationtabular100K<n<1M0 likes8 downloads2y agoHugging Face06Mirenda /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 downloads5mo agoHugging Face

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