agentlans/synthetic-social-dialogues

Synthetic Social Dialogues Synthetic Social Dialogues is a collection of over 8 000 synthetically generated, multi-turn dialogue scenarios designed to train and evaluate Large Language Models (LLMs) on nuanced conversational dynamics, role-playing, and adherence to complex social constraints. Each sample models a realistic interaction between two speakers under controlled psychological, relational, situational, and medium-based variables. Dataset Summary Size: 8… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/synthetic-social-dialogues.