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@@ -15,7 +15,7 @@ intro_md = f'''
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  * [πŸ“Š Dataset](https://huggingface.co/datasets/maum-ai/KOFFVQA_Data)
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  * [πŸ§ͺ Evaluation Code](https://github.com/maum-ai/KOFFVQA)
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- * [πŸ“„ Report] (https://arxiv.org/abs/2503.23730)
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  {benchname}πŸ” is a Free-Form VQA benchmark dataset designed to evaluate Vision-Language Models (VLMs) in Korean language environments. Unlike traditional multiple-choice or predefined answer formats, KOFFVQA challenges models to generate open-ended, natural-language answers to visually grounded questions. This allows for a more comprehensive assessment of a model's ability to understand and generate nuanced Korean responses.
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  * [πŸ“Š Dataset](https://huggingface.co/datasets/maum-ai/KOFFVQA_Data)
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  * [πŸ§ͺ Evaluation Code](https://github.com/maum-ai/KOFFVQA)
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+ * [πŸ“„ Report](https://arxiv.org/abs/2503.23730)
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  {benchname}πŸ” is a Free-Form VQA benchmark dataset designed to evaluate Vision-Language Models (VLMs) in Korean language environments. Unlike traditional multiple-choice or predefined answer formats, KOFFVQA challenges models to generate open-ended, natural-language answers to visually grounded questions. This allows for a more comprehensive assessment of a model's ability to understand and generate nuanced Korean responses.
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