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

Source: [DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph](<https://www.sota2.com/research/paper/68fa6ee21e209131cea429fc>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T01:08:40.604Z

Authors: Debayan Banerjee, Sushil Awale, Ricardo Usbeck, Chris Biemann

Published: 2023-03-23T15:29:21.000Z

## 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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2303.13351>)

[PDF](<https://arxiv.org/pdf/2303.13351.pdf>)