😳😱Sber has published a dataset for emotion recognition in Russian
Dusha is a huge open dataset for recognizing emotions in oral speech in Russian.
Dusha is suitable for recognizing emotions in oral speech in Russian. The dataset consists of over 300,000 audio recordings with transcripts and emotional tags. The duration is about 350 hours of audio. The team chose four main emotions that usually appear in a dialogue with a voice assistant: joy, sadness, anger, and a neutral emotion. Since each record was marked up by several annotators, who from time to time still performed various control tasks, the markup turned out to be about 1.5 million records.
Read more about the Dusha dataset in the publication: https://habr.com/ru/companies/sberdevices/articles/715468/