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--- |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: toxic |
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dtype: float64 |
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splits: |
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- name: train |
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num_bytes: 27459998 |
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num_examples: 163187 |
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- name: test |
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num_bytes: 1762288 |
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num_examples: 10000 |
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download_size: 16406619 |
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dataset_size: 29222286 |
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license: mit |
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task_categories: |
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- text-classification |
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- text2text-generation |
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language: |
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- ru |
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multilinguality: |
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- monolingual |
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tags: |
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- toxicity |
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- style-transfer |
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pretty_name: RuDetoxifier data |
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size_categories: |
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- 100K<n<1M |
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source_datasets: |
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- original |
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paperswithcode_id: methods-for-detoxification-of-texts-for-the |
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--- |
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# rudetoxifier_data |
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## Dataset Description |
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- **Homepage:** https://github.com/s-nlp/rudetoxifier |
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- **Repository:** https://github.com/s-nlp/rudetoxifier |
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- **Paper:** [Methods for Detoxification of Texts for the Russian Language](https://arxiv.org/abs/2105.09052) |
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- **Point of Contact:** [Daryna Dementieva](mailto:daryna.dementieva@skoltech.ru) |
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Huggingface copy of Github repo with dataset. |
