AI RESEARCH
KZ-SafetyPrompts: A Kazakh Safety Evaluation Prompt Dataset for Large Language Models
arXiv CS.CL
•
ArXi:2605.26947v1 Announce Type: new Kazakh is underrepresented in resources for evaluating the safety behavior of large language models. We present KZ-SafetyPrompts, a Kazakh prompt dataset for safety evaluation across eleven categories covering common risk areas such as self-harm, violence, child exploitation, sexual content, racist content, radicalization, and regulated goods or illegal activities. The dataset contains 5,717 prompts written natively in Kazakh (Cyrillic), organized by category, with English translations for cross-lingual analysis.