Question Answer Dataset v1.2 问答数据集

Question Answer Dataset 是结合维基百科文章语料库的链接，并手动生成仿真问题和答案以供学术研究的问答数据集。该数据集分为文章、问题和答案三部分，其中手动生成的仿真问题与答案对维基百科文章的评分难度很高。

This Question Answer Dataset is an academic research-focused question answering (QA) dataset that utilizes links from Wikipedia article corpora as its source material, and includes manually generated simulated question-answer pairs. The dataset is structured into three core sections: articles, questions, and answers. The manually created simulated question-answer pairs are highly graded for difficulty in alignment with the content of their corresponding Wikipedia articles.

搜集汇总

背景与挑战

背景概述

Question Answer Dataset v1.2是一个基于维基百科文章语料库的问答数据集，包含手动生成的仿真问题与答案，难度较高，适用于学术研究。该数据集由卡内基·梅隆大学于2013年发布，数据收集于2008年至2010年，大小为25.59 MB。