mlsanityData to 14 Oct 2026

Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations

arXiv 2504.13955 ↗First posted 16 Apr 2025cs.CY cs.AI cs.CLcited by 11

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Abstract (arXiv)

The advancement of AI systems for mental health support is hindered by limited access to therapeutic conversation data, particularly for trauma treatment. We present Thousand Voices of Trauma, a synthetic benchmark dataset of 3,000 therapy conversations based on Prolonged Exposure therapy protocols for Post-traumatic Stress Disorder (PTSD). The dataset comprises 500 unique cases, each explored through six conversational perspectives that mirror the progression of therapy from initial anxiety to peak distress to emotional processing. We incorporated diverse demographic profiles (ages 18-80, M=49.3, 49.4% male, 44.4% female, 6.2% non-binary), 20 trauma types, and 10 trauma-related behaviors using deterministic and probabilistic generation methods. Analysis reveals realistic distributions of trauma types (witnessing violence 10.6%, bullying 10.2%) and symptoms (nightmares 23.4%, substance abuse 20.8%). Clinical experts validated the dataset's therapeutic fidelity, highlighting its emotional depth while suggesting refinements for greater authenticity. We also developed an emotional trajectory benchmark with standardized metrics for evaluating model responses. This privacy-preserving dataset addresses critical gaps in trauma-focused mental health data, offering a valuable resource for advancing both patient-facing applications and clinician training tools.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 6 of its 124 references that are in the map. First posted on arXiv 16 Apr 2025.

Builds on

6 of 124 references.

References · 6

  1. 2023Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Modelscited by 20
  2. 2024Data Generation Using Large Language Models for Text Classification: An Empirical Case Studycited by 11
  3. 2022Privacy Sensitive Speech Analysis Using Federated Learning to Assess Depressioncited by 8
  4. 2024Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Datacited by 4
  5. 2024Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the Riskscited by 3
  6. 2024Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Datacited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 6; 2026: 5.

11 papers.

  1. 2025How Real Are Synthetic Therapy Conversations? Evaluating Fidelity in Prolonged Exposure Dialoguescited by 8
  2. 2025A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personascited by 8
  3. 2025The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Supportcited by 6
  4. 2025MAGneT: Coordinated Multi-Agent Generation of Synthetic Multi-Turn Mental Health Counseling Sessionscited by 6
  5. 2025Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elementscited by 3
  6. 2025A Comprehensive Review of Datasets for Clinical Mental Health AI Systemscited by 3
  7. 2026Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversationcited by 1
  8. 2026AI Safety Training Can be Clinically Harmfulcited by 1
  9. 2026CBT-Audio: Evaluating Audio Language Models for Patient-Side Distress Intensity Estimation in CBT Session Recordingscited by 0
  10. 2026EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimationcited by 0
  11. 2026LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialoguescited by 0