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Automatically detecting personality traits can aid several applications, suchas mental health recognition and human resource management. Most datasetsintroduced for personality detection so far have analyzed these traits for eachindividual in isolation. However, personality is intimately linked to oursocial behavior. Furthermore, surprisingly little research has focused onpersonality analysis using low resource languages. To this end, we present anovel peer-to-peer Hindi conversation dataset- Vyaktitv. It consists ofhigh-quality audio and video recordings of the participants, with Hinglishtextual transcriptions for each conversation. The dataset also contains a richset of socio-demographic features, like income, cultural orientation, amongstseveral others, for all the participants. We release the dataset for publicuse, as well as perform preliminary statistical analysis along the differentdimensions. Finally, we also discuss various other applications and tasks forwhich the dataset can be employed.

Vyaktitv: A Multimodal Peer-to-Peer Hindi Conversations based Dataset for Personality Assessment