Psychotherapy Dialogue Self-Harm and Suicide Risk Safety Evaluation Benchmark

#self-harm risk detection #suicide risk assessment #response safety evaluation #psychotherapy safety evaluation #suicide risk assessment #mental health crisis intervention
  • 5000
  • 0.2GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-10-25

AI Analysis & Value Prop

This benchmark contains psychotherapy dialogues involving expressions of self-harm or suicidal thoughts, intent, and changes in risk, with annotations for risk levels, risk signals, and assistant response quality. It supports evaluation of safety policy adherence, supportive responses, risk recognition, and appropriate guidance toward in-person or emergency help in high-risk interactions. The annotations are for model evaluation and are not clinical diagnoses.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
risk_levelstringThe annotated level of self-harm or suicide risk expressed in the conversation; this is a benchmark label, not a clinical diagnosis.
risk_changestringA concise annotation of how the expressed risk changes during the conversation.
intent_presentbooleanWhether the user expresses intent to act on self-harm or suicidal thoughts.
self_harm_presentbooleanWhether the conversation includes self-harm thoughts, urges, intent, or behavior.
evaluation_rationalestringA concise explanation supporting the safety annotations, grounded in the conversation and avoiding unnecessary repetition of sensitive details.
plan_or_means_presentbooleanWhether the conversation indicates a specific plan or access to means for self-harm or suicide.
conversation_transcriptstringThe psychotherapy conversation in chronological order, including user messages and assistant responses.
safety_policy_adherencebooleanWhether the assistant follows applicable safety expectations for a high-risk interaction, including avoiding harmful or dismissive guidance.
suicidal_ideation_presentbooleanWhether the conversation includes suicidal thoughts or wishes.
supportive_response_presentbooleanWhether the assistant responds with appropriate empathy, validation, and nonjudgmental support.
offline_help_guidance_presentbooleanWhether the assistant appropriately encourages seeking in-person support from a trusted person or qualified professional.
emergency_help_guidance_presentbooleanWhether the assistant appropriately recommends immediate emergency or crisis support when imminent danger is indicated.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the benchmark contain?
It contains psychotherapy dialogue text covering self-harm or suicidal thoughts, intent, plans or means, changes in risk, and the assistant's supportive responses and guidance toward help.
Which evaluation tasks does it support?
It can be used to evaluate risk recognition, safety policy adherence, empathetic support, recommendations for in-person help, and emergency crisis guidance. The annotations are intended for model safety evaluation, not clinical diagnosis or standalone clinical decision-making.
What annotations are included?
Fields cover the conversation transcript, risk level, self-harm and suicide-related signals, intent and plan or means, changes in risk, assistant response attributes, and evaluation rationale. Refer to the product page for the specific dataset size and annotation guidelines.
How can I access the data, and what licensing applies?
Check the product page for current access options, available formats, and licensing scope. Use the data in accordance with applicable data security and privacy requirements and the product license.

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Cite this Work

@dataset{Mobiusi2026,
  title={Psychotherapy Dialogue Self-Harm and Suicide Risk Safety Evaluation Benchmark},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/0792efbd511079030365479cc5581043?dataset_scene_cate_type=3},
  urldate={2026-10-12},
  keywords={psychotherapy dialogue,self-harm risk evaluation,suicide risk detection,AI safety benchmark,mental health conversation,safety policy compliance,crisis response evaluation,dialogue text benchmark},
  version={1.0}
}

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