<p>Yeah, here are some you can try that I've thrown on a server:</p>

<p><a href="http://www.ratml.org/misc/isolet.csv">http://www.ratml.org/misc/isolet.csv</a> -- spoken letters of the alphabet; 617 dimensions, 7797 points<br>
<a href="http://www.ratml.org/misc/birch3.txt">http://www.ratml.org/misc/birch3.txt</a> -- BIRCH dataset, 2 dimensions, 100000 points<br>
<a href="http://www.ratml.org/misc/corel.csv">http://www.ratml.org/misc/corel.csv</a> -- corel image features dataset; 32 dimensions, 37749 points<br>
<a href="http://www.ratml.org/misc/covertype.csv">http://www.ratml.org/misc/covertype.csv</a> -- forest covertype dataset; 55 dimensions, 581012 points</p>

<p>These datasets will probably provide a good picture of the speed of your implementation vs. scikit.</p>

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