DuReader

DuReader is a large-scale real-world Chinese dataset for Machine Reading Comprehension (MRC) and Question Answering (QA). All questions in the dataset are sampled from real anonymized user queries. The evidence documents, from which answers are derived, are extracted from the web and Baidu Zhidao using Baidu search engine. The answers to the questions are human generated. DuReader version 2.0 contains more than 300K questions, 1.4M evidence documents and 660K human generated answers. It can be used to train or evaluate MRC models and systems.

DuReader是一款面向机器阅读理解（Machine Reading Comprehension, MRC）与问答（Question Answering, QA）任务的大规模真实中文数据集。该数据集内的所有问题均采样自经过匿名化处理的真实用户查询。用于提取答案的佐证文档，均通过百度搜索引擎从网页与百度知道（Baidu Zhidao）中抓取获取。该数据集内问题的答案均由人工生成。DuReader 2.0版本包含超过30万个问题、140万个佐证文档以及66万个人工生成答案，可用于训练或评估机器阅读理解模型与系统。

搜集汇总

背景与挑战

背景概述

DuReader是一个大规模真实世界中文数据集，专门用于机器阅读理解和问答任务。该数据集包含超过30万个从真实用户查询中采样的问题、140万份从网络和百度知道提取的证据文档，以及66.5万个人工生成的答案，适用于训练和评估MRC模型。