DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph

TL;DR

This paper introduces DBLP-QuAD, the largest scholarly question answering dataset with 10,000 question-answer pairs and SPARQL queries over the DBLP knowledge graph, facilitating research in academic information retrieval.

Contribution

The creation of the largest scholarly QA dataset over the DBLP knowledge graph with annotated SPARQL queries for each question.

Findings

Contains 10,000 question-answer pairs

Includes executable SPARQL queries for each question

Enables advanced research in scholarly question answering

Abstract

In this work we create a question answering dataset over the DBLP scholarly knowledge graph (KG). DBLP is an on-line reference for bibliographic information on major computer science publications that indexes over 4.4 million publications published by more than 2.2 million authors. Our dataset consists of 10,000 question answer pairs with the corresponding SPARQL queries which can be executed over the DBLP KG to fetch the correct answer. DBLP-QuAD is the largest scholarly question answering dataset.