DaNetQA: A Yes/No Question Answering Dataset for the Russian Language

DaNetQA, a new question-answering corpus, follows BoolQ [2] design: it comprises natural yes/no questions. Each question is paired with paragraph from Wikipedia and an answer, derived the paragraph. The task to take both as input come up i.e. produce binary output. In this paper, we present reproducible approach DaNetQA creation investigate transfer learning methods for language transferring. For transferring leverage three similar sentence modelling tasks: 1) corpus of paraphrases, Paraphraser, 2) NLI task, which use Russian part XNLI, 3) another answering SberQUAD. English translation together multilingual fine-tuning.