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🌐 <a href="https://prnake.github.io/ACG-SimpleQA/" target="_blank">Website</a> •
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🤗 <a href="https://huggingface.co/datasets/Papersnake/ACG-SimpleQA" target="_blank">Hugging Face</a>
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<a href="README.md">中文</a> | <a href="README_en.md">English</a>
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**ACG-SimpleQA** is an objective knowledge question-answering dataset focused on the Chinese ACG (Animation, Comic, Game) domain, containing **4242** ~~auto-generated~~ carefully designed QA samples. This benchmark aims to evaluate large language models' factual capabilities in the ACG culture domain, featuring Chinese language, diversity, high quality, static answers, and easy evaluation.
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🌐 <a href="https://prnake.github.io/ACG-SimpleQA/" target="_blank">Website</a> •
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🤗 <a href="https://huggingface.co/datasets/Papersnake/ACG-SimpleQA" target="_blank">Hugging Face</a>
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<br>
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<a href="https://github.com/prnake/ACG-SimpleQA/blob/gh-pages/README.md">中文</a> | <a href="https://github.com/prnake/ACG-SimpleQA/blob/gh-pages/README_en.md">English</a>
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</p>
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**ACG-SimpleQA** is an objective knowledge question-answering dataset focused on the Chinese ACG (Animation, Comic, Game) domain, containing **4242** ~~auto-generated~~ carefully designed QA samples. This benchmark aims to evaluate large language models' factual capabilities in the ACG culture domain, featuring Chinese language, diversity, high quality, static answers, and easy evaluation.
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