Python Essentials - Part 1 (Basics)
收藏arXiv2025-09-30 收录
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https://edube.org/study/pe1
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资源简介：
该数据集包含了来自入门级Python编程课程的形成性和总结性多项选择题评估。该课程旨在引导学习者从编程小白逐步提升至能够编写、调试和运行Python程序的水平。数据集规模涵盖了两个课程中的297个问题，其中包括179个包含代码片段的问题。任务旨在评估GPT模型在回答包含和不包含代码片段的多项选择题时的有效性。
This dataset contains formative and summative multiple-choice assessments from two introductory Python programming courses. These courses are designed to guide complete programming novices to a proficiency level where they can write, debug, and run Python programs. The dataset includes 297 total questions across the two courses, with 179 of them containing code snippets. The associated evaluation task aims to assess the effectiveness of GPT models when answering multiple-choice questions with and without code snippets.
提供机构：
OpenEDG
