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{masala2026inctelegiromanecstereciperomanian,
      title={"\^{I}n\c{t}elegi Rom\^ane\c{s}te?'' A Recipe for Romanian Vision-Language Models}, 
      author={Mihai Masala and Marius Leordeanu and Mihai Dascalu and Traian Rebedea},
      year={2026},
      eprint={2605.31401},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2605.31401}, 
}