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.
Cite
@article{arxiv.2303.13351,
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},
journal= {arXiv preprint arXiv:2303.13351},
year = {2023}
}
Comments
12 pages ceur-ws 1 column accepted at International Bibliometric Information Retrieval Workshp @ ECIR 2023