Structured Annotation Scheme for Korean Question/Commands

本数据集名为‘Structured Annotation Scheme for Korean Question/Commands’，由首尔国立大学电气与计算机工程系及INMC创建。数据集包含30,837条韩语问题和命令，旨在通过结构化注释帮助机器理解自然语言意图。数据集内容涵盖日常对话、天气、新闻等多个领域，通过随机选择和手动生成的方式构建。创建过程中，特别关注了问题和命令的结构化提取，以适应非标准输入的对话管理。该数据集适用于智能助手等AI服务，有助于提升机器对非标准指令的处理能力。

This dataset, named "Structured Annotation Scheme for Korean Question/Commands", was created by the Department of Electrical and Computer Engineering at Seoul National University and INMC. It contains 30,837 Korean questions and commands, with the goal of aiding machines in understanding natural language intentions through structured annotations. The dataset covers multiple domains such as daily conversations, weather, news, and others, and is constructed through random selection and manual generation. During the development process, special attention was paid to the structured extraction of questions and commands to accommodate dialogue management for non-standard inputs. This dataset is applicable to AI services including intelligent assistants, and helps improve machines' ability to process non-standard instructions.