PersonalDialog
Introduced by Zheng et al. in Personalized Dialogue Generation with Diversified Traits
PersonalDialog is a large-scale multi-turn dialogue dataset containing various traits from a large number of speakers. The dataset consists of 20.83M sessions and 56.25M utterances from 8.47M speakers. Each utterance is associated with a speaker who is marked with traits like Age, Gender, Location, Interest Tags, etc. Several anonymization schemes are designed to protect the privacy of each speaker.
Source: Personalized Dialogue Generation with Diversified TraitsPapers
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