surogate/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/surogate/HoraVQA.
| Author / organization | surogate |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 133 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 26 August 2026 |
| Last updated at source | 26 August 2026 |
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