PolQA: Polish Question Answering Dataset

arXiv:2212.08897v2 Announce Type: replace
Abstract: Recently proposed systems for open-domain question answering (OpenQA) require large amounts of training data to achieve state-of-the-art performance. However, data annotation is known to be time-consuming and therefore expensive to acquire. As a result, the appropriate datasets are available only for a handful of languages (mainly English and Chinese). In this work, we introduce and publicly release PolQA, the first Polish dataset for OpenQA. It consists of 7,000 questions, 87,525 manually labeled evidence passages, and …

abstract annotation art arxiv chinese cs.cl data data annotation dataset datasets domain english languages performance question question answering state systems training training data type