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I have quite a general question about doc2vec models.

Let's say I have a specific NLP task whose goal is to understand the similarity between two sports news articles.

Now I have the option to train my model on two corpora: - 1MM news articles, including 100k sports news articles. - 100k sports new articles only.

Which of these datasets would you expect to provide me with a better model for my specific task?

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