No. We are giving you data that you use to improve your tempo estimation algorithm. If you wanted to improve the state of the art, you would share the data you collect.
In particular, you note the MIREX competition (http://www.music-ir.org/mirex) earlier in your post. Share your data with the MIREX competition, and make it open for use by others, if you want to improve the state of the art.
will you post all of the data (in its original, unadulterated form) collected for free, unrestricted download by anyone for any purpose, including competing with last.fm?
intending to share, and actually making a public promise to do so, are quite different things.
I'm used to listening to metal, industrial, hardstyle, house, etc. All my answers are going to be biased towards slow because even though the song may be at 120bpm it still feels slow to someone who normally listens to things closer to the 150-200bpm range.
A better sample to test will produce better results.
It may be that their algorithm is good enough to find highly-periodic "pulses" that are candidates to be considered as a beat. However, believe it or not, the beat is really a matter of individual perception (although people agree in many/most cases).
To me, this is most obvious in music typical of the "power metal" genre. This music frequently is annotated as "double-time feel", and its drumming alone would tend to indicate a beat twice as fast as what would be indicated if you concentrate on the vocals and other instruments. Thus you've got an ambiguity.
Training it so that it can decide whether people tend to perceive the doubled beat or the slower one might be what they're after.
Also, it's common in progressive rock and progressive metal to have frequent changes in time signature. When the beat is changing, what do you say the beat is? They might also be looking for a way to make this choice.
Of course, the genres of music that you mentioned tend not to have those kinds of variations, so maybe I'm just blowing smoke.
No-one even knows if it's possible to crowdsource good enough BPM data like this yet, so even demonstrating that it's feasible would be progress :-)