QALD-9-Plus

QALD-9-Plus is the dataset for Knowledge Graph Question Answering (KGQA) based on well-known QALD-9.<br>QALD-9-Plus enables to train and test KGQA systems over DBpedia and Wikidata using questions in 8 different languages.<br>Some of the questions have several alternative writings in particular languages which enables to evaluate the robustness of KGQA systems and train paraphrasing models.<br>As the questions' translations were provided by native speakers, they are considered as "gold standard", therefore, machine translation tools can be trained and evaluated on the dataset.<br>Please, see also the GitHub repository: https://github.com/Perevalov/qald_9_plus

QALD-9-Plus是基于知名QALD-9构建的知识图谱问答（Knowledge Graph Question Answering, KGQA）专用数据集。QALD-9-Plus支持使用8种不同语言的问句，在DBpedia与Wikidata两大知识库上训练并测试KGQA系统。部分问句在对应语言下存在多种变体写法，可用于评估KGQA系统的鲁棒性，同时支持训练释义模型。由于所有问句的译文均由母语使用者提供，因此被视为「金标准」，该数据集可用于训练并评估机器翻译工具。请参阅以下GitHub仓库：https://github.com/Perevalov/qald_9_plus

搜集汇总

背景与挑战

背景概述

QALD-9-Plus是一个多语言知识图谱问答数据集，支持8种语言的问题，用于在DBpedia和Wikidata上训练和测试KGQA系统。数据集包含多种表述的问题和'黄金标准'翻译，适用于评估系统鲁棒性和训练复述及机器翻译模型。