We introduce MentalChat16K, an English benchmark dataset combining a synthetic mental health counseling dataset and a dataset of anonymized transcripts from interventions between Behavioral Health Coaches and Caregivers of patients in palliative or hospice care. Covering a diverse range of conditions like depression, anxiety, and grief, this curated dataset is designed to facilitate the development and evaluation of large language models for conversational mental health assistance. By providing a high-quality resource tailored to this critical domain, MentalChat16K aims to advance research on empathetic, personalized AI solutions to improve access to mental health support services. The dataset prioritizes patient privacy, ethical considerations, and responsible data usage. MentalChat16K presents a valuable opportunity for the research community to innovate AI technologies that can positively impact mental well-being.

翻译：本文介绍了MentalChat16K，这是一个结合了合成心理健康咨询数据集与来自安宁疗护或临终关怀患者的行为健康教练及照护者干预匿名转录本的英文基准数据集。该精选数据集涵盖了抑郁、焦虑、悲伤等多种心理健康状况，旨在促进面向对话式心理健康辅助的大语言模型的开发与评估。通过提供针对这一关键领域定制的高质量资源，MentalChat16K致力于推动具有共情能力、个性化的人工智能解决方案的研究，以改善心理健康支持服务的可及性。本数据集高度重视患者隐私、伦理考量与负责任的数据使用原则。MentalChat16K为研究界提供了一个宝贵的机会，以推动能够积极影响心理健康福祉的人工智能技术创新。