LAReQA: Language-agnostic answer retrieval from a multilingual pool
Table 1: Numbers of questions and candidates per language in XQuAD-R and MLQA-R.
['[EMPTY]', 'XQuAD-R questions', 'XQuAD-R candidates', 'MLQA-R questions', 'MLQA-R candidates']
To convert these span-tagging tasks into retrieval tasks, we follow the procedure from ReQA Ahmad et al. While the contexts for XQuAD are parallel across languages, differences in sentence breaking lead to variations in the number of candidates per language.