AlbanianLLMSafety: A Safety Evaluation Dataset for Large Language Models in Albanian

Wajdi Zaghouani; Kholoud K. Aldous; Isra Fejzullaj

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arXiv · 2605.26954

AlbanianLLMSafety: A Safety Evaluation Dataset for Large Language Models in Albanian

Wajdi Zaghouani·Kholoud K. Aldous·Isra Fejzullaj

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Abstract

Safety evaluation of Large Language Models (LLMs) has largely focused on high-resource languages, leaving low-resource languages critically underserved. We present AlbanianLLMSafety, the first publicly available safety evaluation dataset for LLMs in Albanian, a linguistically distinct low-resource language with approximately 7.5 million speakers across Albania, Kosovo, North Macedonia, and the diaspora. The dataset contains 2,951 prompts spanning 11 safety categories, including self-harm, violence, racist content, child exploitation, and radicalization, with an average of 268 prompts per category. Each prompt is provided in Albanian with an English reference translation and a detailed category label. This resource addresses a significant gap in safety evaluation infrastruc-ture for low-resource languages and provides an essential benchmark for developing safer, more inclusive LLMs. The dataset will be provided upon request to support safety evaluation, fine-tuning, red-teaming, and guardrail development for Albanian-speaking communities.

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Wajdi Zaghouani, Kholoud K. Aldous, Isra Fejzullaj. 2026-05-26. AlbanianLLMSafety: A Safety Evaluation Dataset for Large Language Models in Albanian. https://arxiv.org/abs/2605.26954

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