  The widespread availability of Question Answering (QA) datasets in English
has greatly facilitated the advancement of the Natural Language Processing
(NLP) field. However, the scarcity of such resources for minority languages,
such as Basque, poses a substantial challenge for these communities. In this
context, the translation and alignment of existing QA datasets plays a crucial
role in narrowing this technological gap. This work presents EuSQuAD, the first
initiative dedicated to automatically translating and aligning SQuAD2.0 into
Basque, resulting in more than 142k QA examples. We demonstrate EuSQuAD's value
through extensive qualitative analysis and QA experiments supported with
EuSQuAD as training data. These experiments are evaluated with a new
human-annotated dataset.
