Mirenda/jigsaw-toxic-comment-classification-challenge

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license: cc-by-sa-3.0
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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](https://creativecommons.org/public-domain/cc0/), with the underlying comment text being governed by [Wikipedia's CC-SA-3.0](https://creativecommons.org/licenses/by-sa/3.0/)

## License

Redistributed by [@thesofakillers](https://github.com/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](https://creativecommons.org/licenses/by-sa/3.0/) license.