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0.15
52.1
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2 classes
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Dataset from this article: Multimodal prediction of profanity based on speech analysis includes "cleaned_cv.zip" which consists of "Common voice" dataset's records with profanity speech. It can be treated as train data. "collected_records.zip" is manually collected from YouTube videos with spontaneous speech with profanity. Annotation files have the names of files and transcribed speech. The dataset was used to test solution for real-time profanity prediction, solution is located here: github

Ethical restraint: records have profanity speech

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