遇见数据集

KurdishMCQ: A multiple-choice question dataset for the Kurdish language (Sorani dialect)

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Mendeley Data2026-08-05 收录
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This dataset is the first large-scale, publicly available collection of multiple-choice questions in the Kurdish language (Sorani dialect), helping fill an important gap in evaluating large language models (LLMs) for low-resource languages. It includes 17,233 questions gathered from Kurdish middle and high school materials, such as textbooks and official exams, all written in Sorani using the Perso-Arabic script. The dataset was carefully created and reviewed by native Kurdish speakers to ensure accuracy and consistency. Each entry follows a clear and structured format, including fields such as the question text, four answer options (A–D), the correct answer label, and metadata like subject, grade level, and group (e.g., STEM). The dataset covers a wide range of subjects, with the largest portions coming from Biology (2636 questions), Chemistry (2326), Kurdish grammar (1591), Natural Science (1537), and Kurdish literature (1488), along with other areas like Physics, Math, History, and Economics. In terms of grade distribution, most questions are from grade 12 (9453), followed by grades 9, 10, and 11, with a smaller portion categorized as “other”. This resource can be used for tasks like question answering, knowledge evaluation, and reasoning, and is well-suited for training, fine-tuning, and benchmarking language models, especially in multilingual and low-resource settings.

本数据集是首个大规模、可公开获取的库尔德语(索拉尼方言)多项选择题合集,填补了低资源语言大语言模型(Large Language Models,LLMs)评估领域的重要空白。数据集共包含17233道题目,取材自库尔德族初高中教材与官方考试等资料,全部采用波斯-阿拉伯字母书写的索拉尼库尔德语。该数据集由库尔德语母语者精心编制并审核,以保障内容的准确性与格式一致性。每一条目均遵循清晰的结构化规范,涵盖题目文本、四道备选答案(A至D)、正确答案标签,以及学科、年级、类别(如STEM)等元数据字段。本数据集覆盖多门学科,占比最高的科目为生物学(2636道题)、化学(2326道题)、库尔德语语法(1591道题)、自然科学(1537道题)与库尔德文学(1488道题),同时涵盖物理、数学、历史、经济学等其他领域。按年级分布来看,绝大多数题目来自12年级(共9453道),其次为9年级、10年级与11年级,另有少量题目归类为‘其他’。该资源可用于问答、知识评估与推理等任务,十分适用于语言模型的训练、微调与基准测试,尤其适合多语言与低资源语言场景下的相关工作。

创建时间:
2026-07-08
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