agentlans/questionizer
收藏Hugging Face2025-11-07 更新2025-11-15 收录
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https://hf-mirror.com/datasets/agentlans/questionizer
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资源简介:
Questionizer是一个包含句子及其回答的问题的数据集。该数据集通过从Wikipedia-propositions中随机抽取命题,并利用google/gemma-3-12b-it模型将这些命题转换成问题而构建。数据集适用于文本生成任务,语言为英语。它还包含与Wikipedia、问题和答案相关的标签。
Questionizer is a dataset consisting of sentences and the questions they answer. It is constructed by sampling propositions from Wikipedia-propositions and converting them into questions using the google/gemma-3-12b-it model. The dataset is designed for text generation tasks and is in English. It also includes tags related to Wikipedia, questions, and answers.
提供机构:
agentlans



