PIPPA: A Partially Synthetic Conversational Dataset
Tear Gosling Alpin Dale Yinhe Zheng
With the emergence of increasingly powerful large language models, there is a
burgeoning interest in leveraging these models for casual conversation and
role-play applications. However, existing conversational and role-playing
datasets often fail to capture the diverse and nuanced interactions typically
exhibited by real-world role-play participants. To address this limitation and
contribute to the rapidly growing field, we introduce a partially-synthetic
dataset named PIPPA (Personal Interaction Pairs between People and AI). PIPPA
is a result of a community-driven crowdsourcing effort involving a group of
role-play enthusiasts. The dataset comprises over 1 million utterances that are
distributed across 26,000 conversation sessions and provides a rich resource
for researchers and AI developers to explore and refine conversational AI
systems in the context of role-play scenarios.