My main objection is the temptation to mix real and fabricated data. Your entire dataset becomes much less useful if it's got nonsense mixed in with it, and if historical examples are anything to go by, it can be hundreds of years before someone identifies and untangles the nonsense from the fact. Any minor benefit is not worth this risk imo.