Korean NLP Datasets

本文介绍了15个在韩国研究社区中广为人知的NLP数据集。这些数据集涵盖了从对话日志、问答、命名实体识别到文本摘要、自然语言理解、语义句子相似性、语义文本分析、语义语音分析和机器翻译等多个领域。每个数据集都提供了详细的信息，包括名称、类别、领域和任务、大小、许可证、作者、年份、引用分数以及相关研究文章。此外，还提供了每个数据集的额外信息，如存储库URL、格式、数据集统计或数据样本以及数据的应用。这些数据集不仅对学术机构和个体研究者，也对大型企业产生了积极的影响，推动了韩国自然语言处理领域的发展。

This paper introduces 15 well-known NLP datasets widely recognized in the South Korean research community. These datasets cover a diverse range of domains, including dialog logs, question answering (QA), named entity recognition (NER), text summarization, natural language understanding (NLU), semantic sentence similarity, semantic text analysis, semantic speech analysis, and machine translation (MT). Each dataset provides detailed information such as its name, category, domain and task, scale, license, authors, publication year, citation score, and related research papers. Additionally, supplementary information for each dataset is offered, including the repository URL, data format, dataset statistics or data samples, and application scenarios of the dataset. These datasets have exerted positive impacts not only on academic institutions and individual researchers but also on large enterprises, promoting the development of the natural language processing field in South Korea.