I need to train a word2vec embedding model on Wikipedia articles using Gensim.

Eventually, I will use the entire Wikipedia for that
but for the moment, I'm doing some experimentation/optimization to improve the model quality and I was wondering how many articles would be enough to train a meaningful/good model? How many examples needed for each unique word in vocabulary?


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