HFXM/CARES-18K
Dataset Card for "CARES-18K" CARES-18K: Clinical Adversarial Robustness and Evaluation of Safety CARES-18K is a benchmark dataset for evaluating the safety and robustness of large language models (LLMs) in clinical and healthcare contexts. It consists of over 18,000 synthetic prompts generated across 8 medical safety principles, 4 graded harmfulness levels (0–3), and 4 prompting strategies (direct, indirect, obfuscation, role-play). These prompts probe both LLM… See the full description on the dataset page: https://huggingface.co/datasets/HFXM/CARES-18K.
| Author / organization | HFXM |
|---|---|
| License (as declared) | mit |
| Downloads | 127 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 15 May 2025 |
| Last updated at source | 29 August 2025 |
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