license: cc-by-4.0
license_name: cc-by-4.0
license_link: https://creativecommons.org/licenses/by/4.0/
tags:
- medical
- synthetic
- mental-health
- mental-health-safety
- ai-safety
- llm-evaluation
- safety-evaluation
- benchmark
- red-teaming
- self-harm
- crisis-detection
- harm-detection
- refusal
- alignment
- instruction-following
- language-models
- nlp
pretty_name: Mental Health Eval
language: - en
size_categories: - 1K<n<10K
Dataset Overview
Created by the HeraFox team, this dataset aims to build awareness for mental health and support research into AI safety and crisis intervention. It evaluates how conversational AI models navigate sensitive self-harm risks, roleplay boundary-blurring, and third-party concerns by delivering safe, empathetic, and resource-connected responses.
Usage & Credits
This dataset is free to use, modify, and distribute for any purpose. While not required, attribution to the HeraFox team is greatly appreciated.
Dataset Size
This dataset will continue to expand over time as new evaluation cases and safety scenarios are added.
Help is available
If you or someone you know is struggling, consider reaching out to a trusted person, a qualified mental health professional, or a local crisis service. If there is an immediate risk of harm, contact your local emergency services.