| # Jigsaw Toxic Comment Classification Dataset |
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|
| ## Overview |
| Version: 1.0 |
| Date Created: 2025-02-03 |
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| ### Description |
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| The Jigsaw Toxic Comment Classification Dataset is designed to help identify and classify toxic online comments. |
| It contains text comments with multiple toxicity-related labels including general toxicity, severe toxicity, |
| obscenity, threats, insults, and identity-based hate speech. |
| |
| The dataset includes: |
| 1. Main training data with binary toxicity labels |
| 2. Unintended bias training data with additional identity attributes |
| 3. Processed versions with sequence length 128 for direct model input |
| 4. Test and validation sets for model evaluation |
| |
| This dataset was created by Jigsaw and Google's Conversation AI team to help improve online conversation quality |
| by identifying and classifying various forms of toxic comments. |
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| ## Column Descriptions |
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| - **id**: Unique identifier for each comment |
| - **comment_text**: The text content of the comment to be classified |
| - **toxic**: Binary label indicating if the comment is toxic |
| - **severe_toxic**: Binary label for extremely toxic comments |
| - **obscene**: Binary label for obscene content |
| - **threat**: Binary label for threatening content |
| - **insult**: Binary label for insulting content |
| - **identity_hate**: Binary label for identity-based hate speech |
| - **target**: Overall toxicity score (in bias dataset) |
| - **identity_attack**: Binary label for identity-based attacks |
| - **identity_***: Various identity-related attributes in the bias dataset |
| - **lang**: Language of the comment |
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| ## Files |
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