Querification <cite>Levy et al. (2017)</cite> created 1192 question templates for 120 Wikidata properties. A template contains a placeholder for an entity x (e.g. for property "author", some templates are "Who wrote the novel x?" and "Who is the author of x?"), which can be automatically filled in to create questions so that question ≈ template(property, x)). For our multilingual dataset, we had these templates translated by human translators. The translators attempted to translate each of the original 1192 templates. If a template was difficult to translate, they were in- structed to discard it. They were also instructed to create their own templates, paraphrasing the original ones when possible. This resulted in a varying number of templates for each of the properties across languages. In addition to the entity placeholder, some languages with richer morphology (Spanish, Italian, and German) required extra placeholders in the templates because of agreement phenomena (gender). We added a placeholder for definite articles, as well as one for gender-dependent filler words. The gender is automatically inferred from the Wikipedia page statistics and a few heuristics.