This paper discusses Helply - a synthesized ML training dataset focused on psychology and therapy, created by Alex Scott and published by NamelessAI. The dataset developed by Alex Scott is a comprehensive collection of synthesized data designed to train LLMs in understanding psychological and therapeutic contexts. This dataset aims to simulate real-world interactions between therapists and patients, enabling ML models to learn from a wide range of scenarios and therapeutic techniques.
The Helply dataset is a comprehensive synthetic ML training dataset created by Alex Scott and released by NamelessAI, focusing on the fields of psychology and therapy. The dataset is designed to train large language models (LLMs) to understand and simulate human psychological processes. By combining existing psychology literature, therapy session records, and patient self-report data, the Helply dataset covers a variety of treatment scenarios, such as cognitive behavioral therapy (CBT), internal family systems (IFS), and internet-based cognitive behavioral therapy (iCBT). In addition, the dataset emphasizes the dynamic interaction between patients and therapists, capturing communication details that affect treatment outcomes. Despite challenges such as ethical considerations and model generalization, the Helply dataset has revolutionary potential to change the understanding and application of therapeutic practices in digital environments.
The WHO report on adolescent mental health describes actions undertaken by international development organizations to address adolescents’ mental health needs at the country level. It highlights the inadequacy of current efforts and the need for more coordinated and comprehensive interventions.
This dataset contains survey responses from individuals in the tech industry about their mental health, including questions about treatment, workplace resources, and attitudes towards discussing mental health in the workplace. By analyzing this dataset, we can better understand how prevalent mental health issues are among those who work in the tech sector—and what kinds of resources they rely upon to find help—so that more can be done to create a healthier working environment for all.
Psychology Wiki Datasetpsychology_wiki数据集的构建基于心理学领域的英文维基百科内容,通过系统化的数据采集与整理,确保了信息的广泛覆盖与深度挖掘。数据集中的每一篇文章均经过严格的筛选与标注,涵盖了标题、正文、相关性、受欢迎程度及排名等多个维度,为心理学研究提供了丰富的文本资源。