MAGneT
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Date
2026-03-18
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MAGneT is a synthetic counseling session dataset generated using a novel Multi-Agent framework including: specialized response agents (reflection, questioning, solutions, normalizing, psycho-education), a technique agent, a CBT agent, and a response generation agent. The generations are conditioned on client profiles taken from [Lee et al., 2024](https://aclanthology.org/2024.findings-emnlp.832/)). Unlike prior single-agent approaches, MAGneT better captures the structure and nuance of real counseling. Empirically, MAGneT substantially outperforms existing methods: experts prefer MAGneT-generated sessions in 77.2% of cases, and sessions generated by MAGneT yield 3.2% higher general counseling skills and 4.3% higher CBT-specific skills on cognitive therapy rating scale (CTRS). A open source Llama3-8B-Instruct model fine-tuned on MAGneT-generated data also outperforms models fine-tuned using baseline synthetic datasets by 6.9% on average on CTRS.
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Except where otherwise noted, this license is described as GPL - GNU General Public License 2.0