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zcamz/ai-vs-human-google-gemma-2-2b-it

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Hugging Face2024-12-08 更新2024-12-14 收录
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https://hf-mirror.com/datasets/zcamz/ai-vs-human-google-gemma-2-2b-it
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该数据集展示了由人类或AI语言模型撰写的截断文章及其续写的配对。每篇文章被随机截断其长度的25%到50%,然后由AI语言模型生成续写,以匹配原始人类撰写的续写的字符数。数据字段包括human(原始人类撰写的续写)和ai(AI生成的续写)。用于生成AI续写的模型是google/gemma-2-2b-it,采样参数包括{frequency_penalty: 0.2, max_tokens: 1000, presence_penalty: 0.5, temperature: 0.5}。

This dataset showcases pairs of truncated articles and their respective completions, crafted either by humans or an AI language model. Each article was randomly truncated between 25% and 50% of its length. The language model was then tasked with generating a completion that mirrored the characters count of the original human-written continuation.
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