When building the first version of the Profiler for the Wi-Fi in the Moscow Metro
we had no data at all. Except for the raw BIND DNS logs.
We had to build our own training corpus in order to be able to predict user`s gender, age, interests, income
level and so on.
We also had to infer places of interest: locations where the person works, lives, dines and wines but that`s the other
We used publicly available VK.com user profiles as well as some other sources to build this training corpus.
On this page we are sharing datasets of public VKontakte user profiles as well as some tools we wrote to acquire
Update 06 November 2017
Upon a request we give access to the data collected in 2014. The database format is SQLite.
It contains 208 130 605 records.
206,6 GB on disk or 24,2 GB compressed.
Download the data sample
- 1000 records.
The collected data was public, but we removed the names, photos and telephone numbers to prevent misuse.
To receive the DB (it`s free),
send us a request
. Please, describe the project you are working on.
If you request comes from academic email address you will receive the DB with all the fields present
(as in original public data).
We continue to prepare more stuff for you to download (2018 database of public VK profiles and tools).
Meanwhile, please send us
a message if you want to get informed when it`s done (or just subscribe to one of our accounts):