scutcyr/SoulChat2.0

Implements a two-stage synthesis framework that generates high-fidelity counseling dialogues from minimal real examples (12+ cases) by extracting counselor communication patterns and therapeutic techniques, then fine-tunes Qwen2-7B on the resulting PsyDTCorpus dataset. The approach models client personalities using Big Five traits to ensure stylistic diversity while maintaining counselor-specific language and therapeutic consistency across thousands of synthetic multi-turn conversations.

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