TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation
Researchers have developed TalkPlayData 2, a synthetic dataset designed for multimodal conversational music recommendation. This dataset is generated by a pipeline of specialized large language model (LLM) agents that simulate conversations between a listener and a recommendation system. The agents are multimodal, incorporating audio and image capabilities to mimic real-world recommendation scenarios. AI
IMPACT Enables more realistic training data for multimodal conversational AI systems in recommendation contexts.