RuBQ: A Russian Dataset for Question Answering over Wikidata
arXiv:2005.10659 · doi:10.1007/978-3-030-62466-8_7
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.
References in corpus (5)
- On the Cross-lingual Transferability of Monolingual Representations
- Large-scale Simple Question Answering with Memory Networks
- Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
- Machine Reading Comprehension: a Literature Review
- Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph