XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive
QA dataset) that is a part of the LAReQA benchmark. Like XQuAD, XQUAD-R is an
11-way parallel dataset, where each question (out of around 1200) appears in 11
different languages and has 11 parallel correct answers across the languages. It
is designed so as to include parallel QA pairs across languages, allowing
questions to be matched with answers from different languages. The span-tagging
task in XQuAD is converted into a retrieval task by breaking up each contextual
paragraph into sentences, and treating each sentence as a possible target
answer. There are around 1000 candidate answers in each language.
