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

Debayan Banerjee, Sushil Awale, Ricardo Usbeck, Chris Biemann
3/23/2023
cs.DLcs.CL

No official code found. Best implementation: awalesushil/DBLP-QuAD (3 stars, last commit 2023-02-21).

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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Code Implementations(1)

awalesushil/DBLP-QuADCommunity100%

Machine-generated KGQA dataset for DBLP scholarly knowledge graph

31PythonOct 17, 20223 years ago
datasetdataset-generationkgqaknowledge-graphquestion-answering

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Cite this paper

@article{banerjee2023dblpquad,
  title  = {DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph},
  author = {Debayan Banerjee and Sushil Awale and Ricardo Usbeck and Chris Biemann},
  year   = {2023},
  eprint = {2303.13351},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.13351v3}
}

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