Great, thanks for making this available!

Peter

> -----Original Message-----
> From: [email protected] [mailto:mnemosyne-
> [email protected]] On Behalf Of Gwern Branwen
> Sent: 07 February 2014 18:47
> To: Mnemosyne mailing list
> Subject: [mnemosyne-proj-users] Mnemosyne data set available
> 
> Hello everyone. As you know, by default Mnemosyne collects logs of all
> flashcard reviews, and has done so for years.
> 
> This seems like it could be useful data for some projects (see for example my
> earlier emails about time-of-day and -week on performance), but it's difficult
> to get access to the corpus because it has become far too large to email or
> casually host; Peter provided a torrent ~4 years ago but it died long ago. One
> can email him for a copy but that takes up his time and in any case, the logs
> still have to processed into a SQL database (I tried recently but after 3
> months of processing, it still hadn't finished because of the IO bottleneck of
> my hard drive). I've taken it upon myself to take a recent dump of logs from
> Peter, process them into a SQL database (~1 day with my new SSD), and
> upload them to my Amazon S3 account where anyone can download them.
> 
> The link is https://s3.amazonaws.com/gwern-mnemosyne/2014-01-27-
> mnemosynelogs-all.db.xz
> (due to the size, I suggest a download manager like `wget --continue`).
> 
> This is a 2.8GB file compressed with xz
> (https://en.wikipedia.org/wiki/Xz) which `unxz`/unpacks to an 18GB SQLite
> 3.x database with the MD5 hash 03569c5416dd6923613389be6d0cc9e1 It can
> be queried with commands like `$ sqlite3 -batch ./logs.db "SELECT
> timestamp,object_id,grade FROM log WHERE event==9;"` or via SQL
> interfaces like 'sqldf' for R.
> 
> I commit to keeping the file up for 3 months before removing it, since
> S3 bandwidth is not free; if you'd like to see it stay longer, I accept 
> Bitcoin
> donations at 1HbHpdhazqzfPtbcw9NA2H9R1GWNekm1L
> 
> --
> gwern
> http://www.gwern.net/Spaced%20repetition
> 
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