PennShenLab/MentalChat16K
A benchmark dataset designed to support the development and evaluation of large language models (LLMs) for conversational mental health assistance
This project offers a specialized dataset for training and evaluating large language models (LLMs) to provide conversational mental health assistance. It combines anonymized real interview transcripts from behavioral health coaches with synthetic dialogues, providing question-answer pairs across topics like depression, anxiety, and grief. This resource is for AI researchers and developers aiming to create or improve AI-driven mental health support tools.
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Use this if you are developing or fine-tuning large language models specifically for mental health counseling or empathetic AI support in sensitive domains.
Not ideal if you are looking for a pre-trained, ready-to-use mental health chatbot, as this project provides a dataset for model development rather than a finished application.
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Feb 24, 2025
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