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--- |
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license: cc-by-sa-3.0 |
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--- |
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## Dataset Description |
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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: |
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- `toxic` |
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- `severe_toxic` |
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- `obscene` |
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- `threat` |
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- `insult` |
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- `identity_hate` |
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You must create a model which predicts a probability of each type of toxicity for each comment. |
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### File descriptions |
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- **train.csv** - the training set, contains comments with their binary labels |
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- **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. |
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- **sample_submission.csv** - a sample submission file in the correct format |
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- **test_labels.csv** - labels for the test data; value of -1 indicates it was not used for scoring; (Note: file added after competition close!) |
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### Usage |
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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/) |
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## License |
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Redistributed by [@thesofakillers](https://github.com/thesofakillers) on huggingface as permitted under the CC0 license. |
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The comment text in this dataset is sourced from Wikipedia articles, available under the |
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[Creative Commons Attribution-ShareAlike 3.0](https://creativecommons.org/licenses/by-sa/3.0/) license. |
