title: PIPPA: A Partially Synthetic Conversational Dataset
summary: 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.
paper_authors._id: 64d970b7bb9b5ddddcc8b736
paper_authors.name: Tear Gosling
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-08-15T00:37:19.353Z
paper_authors._id: 63a218623c003e40931a6cff
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1671567442495-noauth.png
paper_authors.fullname: TearGosling
paper_authors.type: user
paper_authors.user: TearGosling
paper_authors._id: 64d970b7bb9b5ddddcc8b737
paper_authors.name: Alpin Dale
paper_authors.status: extracted_confirmed
paper_authors.statusLastChangedAt: 2023-08-14T00:42:19.516Z
paper_authors._id: 635567189c72a7e742f1419c
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/635567189c72a7e742f1419c/tbfBz0furS-y4ISgoe6j0.jpeg
paper_authors.fullname: Alpin
paper_authors.type: user
paper_authors.user: alpindale
paper_authors._id: 64d970b7bb9b5ddddcc8b738
paper_authors.name: Yinhe Zheng
paper_authors.status: extracted_confirmed
paper_authors.statusLastChangedAt: 2023-08-14T00:10:44.172Z
paper_authors._id: 5fa0fa89a13e063b8b2b5d1e
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1653978482840-5fa0fa89a13e063b8b2b5d1e.jpeg
paper_authors.fullname: Silver
paper_authors.type: user
paper_authors.user: silver
paper_title: PIPPA: A Partially Synthetic Conversational Dataset
paper_summary: 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.
paper_ai_keywords: large language models conversational AI role-play applications role-play participants partially-synthetic dataset PIPPA (Personal Interaction Pairs between People and AI) community-driven crowdsourcing