Datasetpublic

thesofakillers/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.

sourceHugging Facecc-by-sa-3.0updated 2y agoView on Hugging Face

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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 probabilities for these comments. To deter hand labeling, the test set contains some comments which are not included in scoring.
—sample_submission.csv - a sample submission file in the correct format
—test_labels.csv - labels for the test data; value of -1 indicates it was not used for scoring; (Note: file added after competition close!)

Usage

The dataset under CC0, with the underlying comment text being governed by Wikipedia's CC-SA-3.0

License

Redistributed by @thesofakillers on huggingface as permitted under the CC0 license. The comment text in this dataset is sourced from Wikipedia articles, available under the Creative Commons Attribution-ShareAlike 3.0 license.