Gigaword headline generation corpus
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/harvardnlp/sent-summary
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资源简介:
该数据集旨在用于从新闻文章中生成语法连贯、语义正确的抽象性标题。为确保数据质量,研究人员手动筛选了高质量的新闻文章和标题。该数据集的规模分别为训练集500,000条、验证集30,000条以及测试集30,000条,其任务是新闻标题生成(NHG)。
This dataset is intended for generating grammatically coherent and semantically correct abstractive headlines from news articles. To guarantee data quality, researchers manually curated high-quality news articles and their corresponding headlines. The dataset comprises 500,000 training samples, 30,000 validation samples, and 30,000 test samples, with the targeted task being News Headline Generation (NHG).
提供机构:
Harvard NLP



