PIPPA: A Partially Synthetic Conversational Dataset
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Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 13 of its 17 references that are in the map. First posted on arXiv 11 Aug 2023.
Builds on
13 of 17 references.
References · 13
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Built on by
Citing papers per year: 2024: 5; 2025: 0; 2026: 1.
6 papers.
- 2024The Oscars of AI Theater: A Survey on Role-Playing with Language Modelscited by 48
- 2024Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialoguecited by 16
- 2024PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluationcited by 10
- 2024SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMscited by 5
- 2024CharacterBench: Benchmarking Character Customization of Large Language Modelscited by 1
- 2026Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challengescited by 1
- 2026Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challenges18 Aug 2026
- 2024CharacterBench: Benchmarking Character Customization of Large Language Models16 Dec 2024
- 2024SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs12 Nov 2024
- 2024Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue12 Sep 2024
- 2024PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluation10 Sep 2024
- 2024The Oscars of AI Theater: A Survey on Role-Playing with Language Models16 Jul 2024