One disadvantage of this though, compared to say the default data sets provided in R (like Iris) or the data sets in the http://archive.ics.uci.edu/ml/ is that there's no widely accepted benchmarks for these data sets. So if you are creating a new ML algorithm or just practicing the application of some method, it's hard to compare your performance against others.