[Tim]
> OTOH, my Data/ subtree currently has more than 35,000 files slobbering
> over 134 million bytes -- even if I had a place to put that much stuff,
> I'm not sure my ISP would let me email it in one msg <wink>.
[Skip]
> Do you have a dialup or something more modern <wink>?
Much more modern:  a cable modem with a small upload rate cap.  There's a
reason the less modern uncapped @Home went out of business <wink>.
> 134MB of messages zipped would probably compress pretty well - under 50MB
> I'd guess with all the similarity in the headers and such.  You could zip
> each of the 10 sets individually and upload them somewhere.
I suppose this could finish over the course of an afternoon.  Now where's
"somewhere"?  I expect we'll eventually collect several datasets;
SourceForge isn't a good place for it (they expect projects to distribute
relatively small code files, and complain if even those get big).
> ...
> How about random sampling lots of public mailing lists via gmane or
> something similar, manually cleaning it (distributing that load over a
> number of people) and then relying on your clever code and your
> rebalancing script to help further cleanse it?
What then are we training the classifier to do?  Graham's scoring scheme is
based on an assumption that the ham-vs-spam task is *easy*, and half of that
is due to that the ham has a lot in common.  It was an experiment to apply
his scheme to all the comp.lang.python traffic, which is a lot broader than
he had in mind (c.l.py has long had a generous definition of "on topic"
<wink>).  I don't expect good things to come of making it ever broader,
*unless* your goal is to investigate just how broad it can be made before it
breaks down.
> The "problem" with the ham is it tends to be much more tied to one person
> (not just intimate, but unique) than the spam.
Which is "a feature" from Graham's POV:  the more clues, the better this
"smoking guns only" approach should work.
> I save all incoming email for ten days (gzipped mbox format) before it
rolls
> over and disappears.  At any one time I think I have about 8,000-10,000
> messages.  Most of it isn't terribly personal (which I would cull before
> passing along anyway) and much of it is machine-generated, so would be of
> marginal use.  Finally, it's all ham-n-spam mixed together.  Do we call
> that an omelette or a Denny's Grand Slam?
Unless you're volunteering to clean it, tag it, package it, and distribute
it, I'd call it irrelevant <wink>.