# RuBQ: A Russian Dataset for Question Answering over Wikidata

Source: [RuBQ: A Russian Dataset for Question Answering over Wikidata](<https://www.sota2.com/research/paper/68fa6af71e209131cea2b68c>)

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

Data updated: 2025-10-25T23:37:16.577Z

Authors: Vladislav Korablinov, Pavel Braslavski

Published: 2020-05-21T14:06:15.000Z

## Abstract

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.

## 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/2005.10659>)

[PDF](<https://arxiv.org/pdf/2005.10659.pdf>)