Mental Health CBT Dialogues: 9,000 Synthetic Patient-Therapist Conversations

9,000 synthetic dialogue pairs model therapeutic interactions across early, middle, and late stages of Cognitive Behavioral Therapy. The dataset was created by author yuana1234567 for research on stage-aware CBT with large language models and was last updated on June 19, 2026. Dialogues preserve continuity between sessions through evolving treatment plans and therapeutic progress.

Use Cases

• Training or fine-tuning language models for therapeutic dialogue generation based on the described synthetic patient-therapist interactions.
• Researching the progression and structure of Cognitive Behavioral Therapy sessions based on the described early, middle, and late stage modeling.
• Analyzing continuity and evolution in therapeutic conversations based on the described treatment plans and progress across sessions.

Strengths

• Contains 9,000 synthetic dialogue pairs, providing a substantial corpus for analysis.
• Models therapeutic interactions across three distinct stages (early, middle, late) of CBT.
• Designed to preserve continuity between sessions through evolving treatment plans.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is synthetic, which may not fully capture the nuances of real clinical interactions.

Provenance

Source

huggingface, author yuana1234567

Collection Method

Synthetically generated for research, accompanying an academic paper.

Freshness

Last updated 2026-06-19 13:19:42; freshness should be verified.