MentalChat16K：面向对话式心理健康辅助的基准数据集
MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance
AI总结：
MentalChat16K是一个结合合成咨询与匿名干预记录的英文基准数据集，涵盖多种心理健康状况，旨在促进对话式心理健康辅助大语言模型的开发与评估，推动共情个性化AI研究。
摘要：
我们介绍了MentalChat16K，这是一个英文基准数据集，结合了合成心理健康咨询数据集与行为健康教练和临终关怀或安宁疗护患者护理者之间干预记录的匿名转录数据集。该精选数据集涵盖抑郁、焦虑和悲伤等多种状况，旨在促进用于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旨在推进对共情、个性化AI解决方案的研究，以改善心理健康支持服务的可及性。该数据集优先考虑患者隐私、伦理考量和负责任的数据使用。MentalChat16K为研究社区创新可积极影响心理健康的AI技术提供了宝贵机会。数据集可在https://huggingface.co/datasets/ShenLab/MentalChat16K获取，代码和文档托管在GitHub：https://github.com/ChiaPatricia/MentalChat16K。
英文摘要：
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. The dataset is available at https://huggingface.co/datasets/ShenLab/MentalChat16K and the code and documentation are hosted on GitHub at https://github.com/ChiaPatricia/MentalChat16K.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
