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oliverkinch/da-instruct-dynaword

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Hugging Face2026-05-26 更新2026-05-31 收录
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https://hf-mirror.com/datasets/oliverkinch/da-instruct-dynaword
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资源简介:
该数据集是一个丹麦语指令微调数据集,通过回译方法从danish-foundation-models/danish-dynaword生成,并使用danish-foundation-models/dynaword-annotations进行高质量样本过滤。每一行是一个(prompt, target)对:其中target是从DynaWord精选子集中提取的真实丹麦语文本段落;prompt是通过回译方法生成的、能够合理引发语言模型产生类似文本的丹麦语用户指令。提示生成使用了Qwen/Qwen3.5-397B-A17B模型,并基于源文本的领域(如政府、文学、学术、税务指导、新闻、演讲)使用特定模板,以确保生成的指令与源文本的语体和体裁匹配。

Each row is a `(prompt, target)` pair where: - **`target`** is a passage of authentic Danish text drawn from a curated subset of DynaWord - **`prompt`** is a realistic Danish user instruction that would plausibly elicit that text from a language model. Prompts were generated by [Qwen/Qwen3.5-397B-A17B](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) using a backtranslation approach: given a passage and its source context, the model is asked to write the user message that would cause a chatbot to produce a similar text. Domain-specific prompt templates (government, literary, academic, tax guidance, news, speech) ensure that the generated instructions match the register and genre of the source text.
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