I admit, I was being funny by being unclear. For word-embeddings English Wikipedia is a moderate-large dataset at 58GB uncompressed (13GB compressed). But most

I admit, I was being funny by being unclear. For word-embeddings English Wikipedia is a moderate-large dataset at 58GB uncompressed (13GB compressed). But most of those other language wikis really are tiny. Welsh is just 67MB compressed, and there are plenty of languages more obscure than that on the list. The point of word2vec was to make use of as much data as possible by being as fast as possible (processing billions of words an hour) rather than clever, so it would be impressive if fastText vectors for those wikis were at all useful.