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

2023/03/23 by Debayan Banerjee, Banerjee, Debayan, Sushil Awale +5 · 5 citations
Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2303.13351

openalex publication_date 2023/03/23 · openalex created_date 2023/03/25 · openalex updated_date 2026/07/28

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.

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