OpenLLM-Ro/HoraVQA

Dataset Description HoraVQA is a benchmark designed to evaluate vision-language models understanding of Romanian culture. Images are crawled and curated by humans, while questions and answer are built exclusively by human annotators. This dataset is used as a benchmark and is part of the evaluation protocol for Romanian VLMs proposed in "Înțelegi românește?" A Recipe for Romanian Vision-Language Models (Masala et al., 2026). Citation @misc{masala2026intelegi… See the full description on the dataset page: https://huggingface.co/datasets/OpenLLM-Ro/HoraVQA.

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