arxiv:2005.10659

RuBQ: A Russian Dataset for Question Answering over Wikidata

Published on May 21, 2020

Authors:

Pavel Braslavski

Abstract

A high-quality Russian knowledge base question answering dataset, RuBQ, is introduced, featuring machine translations, SPARQL queries, and entity linking.

AI-generated summary

The paper presents RuBQ, the first Russian knowledge base question answering (KBQA) dataset. The high-quality dataset consists of 1,500 Russian questions of varying complexity, their English machine translations, SPARQL queries to Wikidata, reference answers, as well as a Wikidata sample of triples containing entities with Russian labels. The dataset creation started with a large collection of question-answer pairs from online quizzes. The data underwent automatic filtering, crowd-assisted entity linking, automatic generation of SPARQL queries, and their subsequent in-house verification.

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