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.