nmixx-fin/twice_kr_news_summ

News-Summ-ko是一个用于验证基于事实的韩语财经新闻文章的长文本摘要是否正确的数据集。它包含句子、摘要和标签三个特征，其中句子和摘要是字符串类型，标签是整型。数据集由1000个训练示例组成，语言为韩语，并且与金融相关。

News-Summ-ko is a dataset for verifying the correctness of long-text summaries of fact-based Korean financial news articles. It includes three features: sentence, summary, and label, with sentence and summary being string types and label being an integer type. The dataset consists of 1000 training examples, is in Korean, and is related to finance.