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README.md
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---
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dtype: string
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- name: image
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dtype: image
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- name: image_url
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dtype: string
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- name: qa_type
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dtype: string
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- name: is_cultural
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dtype: bool
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- name: question_ro
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dtype: string
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- name: options_ro
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sequence: string
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- name: answer_idx
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dtype: int32
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- name: answer_ro
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dtype: string
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- name: author_username
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dtype: string
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- name: category
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dtype: string
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splits:
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- name: test
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num_bytes: 5063635791.0
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num_examples: 580
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download_size: 2132925498
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dataset_size: 5063635791.0
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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---
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license: cc-by-nc-4.0
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language:
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- ro
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---
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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[HoraVQA](https://huggingface.co/datasets/CohereLabs/AyaVisionBench) 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.
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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](TODO))
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## Citation
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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```bibtext
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TODO
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```
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