license:bsd-3-clause size_categories:1K<n<10K format:audiofolder modality:audio library:datasets library:mlcroissant region:us
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license: bsd-3-clause
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Dataset from this article: [Multimodal prediction of profanity based on speech analysis](https://www.sciencedirect.com/science/article/pii/S1877050923019981) 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](https://github.com/expertspec/profanity-predictor)

Ethical restraint: records have profanity speech