How do different datasets influence perplexity scores?

I'm curious about how various datasets can impact perplexity scores. Could you please explain the relationship between the type of data used and the resulting perplexity? Understanding this would really help me grasp how different contexts or content types affect language models. Thank you for your insights!

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