Apiza Corpus

Apiza Corpus是一个专门为软件工程领域设计的API使用对话数据集，由圣母大学创建。该数据集包含30个专业程序员与模拟虚拟助手之间的对话记录，旨在为API使用的虚拟助手设计提供基础数据。数据集的创建过程采用了“Wizard of Oz”实验方法，其中程序员与一个由人类操作的虚拟助手进行交互，而不自知。此数据集适用于研究虚拟助手在软件工程中的应用，特别是解决API使用中的复杂问题。

The Apiza Corpus is an API usage dialogue dataset specifically tailored for the software engineering domain, developed by the University of Notre Dame. This dataset comprises 30 dialogue records between professional programmers and a simulated virtual assistant, with the goal of providing foundational data for the design of virtual assistants focused on API usage. The dataset was constructed using the "Wizard of Oz" experimental approach, wherein programmers interacted with a human-operated virtual assistant without their knowledge. This corpus is applicable for research on the applications of virtual assistants in software engineering, especially for resolving complex problems related to API utilization.