If someone is interested in a new torrent, I have a server at home that is 
almost always on. However I may cap the upload speed from time to time...

kl. 18:46:42 UTC+1 fredag 7. februar 2014 skrev Gwern Branwen følgende:
>
> 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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