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## General concept of the model
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This model is trained on the dataset of inappropriate messages of the Russian language. The concept of inappropriateness is described [in this article ](https://arxiv.org/abs/2103.05345) presented at the workshop for Balto-Slavic NLP at the EACL-2021 conference. Please note that this article describes the first version of the dataset, while the model is trained on the extended version of the dataset open-sourced on our [GitHub](https://github.com/skoltech-nlp/inappropriate-sensitive-topics/blob/main/Version2/appropriateness/Appropriateness.csv). The properties of the dataset is the same as the one described in the article, the only difference is the size.
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The model was trained, validated and tested only on the samples with 100% confidence, which allowed to get the following metrics on test set:
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## General concept of the model
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This model is trained on the dataset of inappropriate messages of the Russian language. The concept of inappropriateness is described [in this article ](https://arxiv.org/abs/2103.05345) presented at the workshop for Balto-Slavic NLP at the EACL-2021 conference. Please note that this article describes the first version of the dataset, while the model is trained on the extended version of the dataset open-sourced on our [GitHub](https://github.com/skoltech-nlp/inappropriate-sensitive-topics/blob/main/Version2/appropriateness/Appropriateness.csv) or on [kaggle](https://www.kaggle.com/nigula/russianinappropriatemessages). The properties of the dataset is the same as the one described in the article, the only difference is the size.
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The model was trained, validated and tested only on the samples with 100% confidence, which allowed to get the following metrics on test set:
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