user_id stringlengths 2 6 | age int64 1 71 | age_group stringclasses 6 values | country_code stringclasses 129 values | country_name stringclasses 129 values | gender stringclasses 2 values | split stringclasses 1 value |
|---|---|---|---|---|---|---|
11851 | 35 | 30s | NO | Norway | male | train |
6771 | 26 | 20s | JP | Japan | male | train |
54883 | 19 | 10s | PL | Poland | male | train |
14780 | 29 | 20s | AT | Austria | male | train |
43671 | 18 | 10s | BR | Brazil | male | train |
73521 | 14 | 10s | RU | Russia | male | train |
13446 | 25 | 20s | UK | United Kingdom | male | train |
24963 | 21 | 20s | CA | Canada | female | train |
43674 | 16 | 10s | PL | Poland | male | train |
248 | 24 | 20s | AT | Austria | male | train |
58131 | 18 | 10s | SE | Sweden | male | train |
586 | 28 | 20s | SE | Sweden | male | train |
6357 | 22 | 20s | SE | Sweden | female | train |
6084 | 25 | 20s | AT | Austria | male | train |
10473 | 23 | 20s | GE | Georgia | male | train |
66915 | 24 | 20s | RS | Serbia | male | train |
15905 | 25 | 20s | UK | United Kingdom | male | train |
4655 | 24 | 20s | US | United States | female | train |
8443 | 29 | 20s | DE | Germany | female | train |
20179 | 21 | 20s | BR | Brazil | male | train |
17064 | 20 | 20s | CL | Chile | female | train |
29530 | 23 | 20s | BR | Brazil | male | train |
15379 | 26 | 20s | PL | Poland | male | train |
19114 | 37 | 30s | BR | Brazil | male | train |
18715 | 23 | 20s | PL | Poland | female | train |
110409 | 22 | 20s | RU | Russia | male | train |
16245 | 33 | 30s | TR | Turkey | male | train |
35701 | 21 | 20s | BY | Belarus | male | train |
24560 | 22 | 20s | NO | Norway | male | train |
36542 | 28 | 20s | MX | Mexico | male | train |
20091 | 29 | 20s | IT | Italy | male | train |
53493 | 20 | 20s | UK | United Kingdom | male | train |
6139 | 30 | 30s | BR | Brazil | male | train |
11173 | 23 | 20s | AU | Australia | female | train |
83827 | 16 | 10s | BR | Brazil | male | train |
28304 | 21 | 20s | RU | Russia | male | train |
13172 | 23 | 20s | ES | Spain | male | train |
92759 | 39 | 30s | US | United States | male | train |
64135 | 20 | 20s | RU | Russia | male | train |
3972 | 19 | 10s | AU | Australia | male | train |
29197 | 28 | 20s | VE | Venezuela | male | train |
53259 | 20 | 20s | US | United States | female | train |
63183 | 22 | 20s | PL | Poland | male | train |
29114 | 26 | 20s | NL | Netherlands | male | train |
31018 | 19 | 10s | HR | Croatia | male | train |
6132 | 32 | 30s | FR | France | male | train |
26793 | 27 | 20s | RS | Serbia | female | train |
21548 | 25 | 20s | BR | Brazil | male | train |
43123 | 21 | 20s | BR | Brazil | male | train |
11938 | 27 | 20s | PT | Portugal | male | train |
42542 | 19 | 10s | BE | Belgium | female | train |
25930 | 24 | 20s | NL | Netherlands | male | train |
21295 | 26 | 20s | TR | Turkey | male | train |
47143 | 19 | 10s | US | United States | male | train |
5515 | 21 | 20s | US | United States | male | train |
7695 | 23 | 20s | UK | United Kingdom | male | train |
20900 | 36 | 30s | ZA | South Africa | male | train |
6076 | 25 | 20s | BR | Brazil | female | train |
10059 | 51 | 50s | DE | Germany | male | train |
71833 | 17 | 10s | RU | Russia | male | train |
68454 | 30 | 30s | US | United States | male | train |
2452 | 28 | 20s | FR | France | male | train |
16278 | 22 | 20s | BR | Brazil | female | train |
20055 | 24 | 20s | UK | United Kingdom | male | train |
6664 | 36 | 30s | BR | Brazil | male | train |
48021 | 27 | 20s | PL | Poland | male | train |
50556 | 26 | 20s | IT | Italy | male | train |
25439 | 21 | 20s | CH | Switzerland | male | train |
7613 | 34 | 30s | DE | Germany | male | train |
7764 | 26 | 20s | RS | Serbia | male | train |
69186 | 17 | 10s | RU | Russia | male | train |
12155 | 20 | 20s | IE | Ireland | male | train |
26028 | 28 | 20s | UK | United Kingdom | male | train |
87234 | 20 | 20s | DE | Germany | male | train |
33015 | 22 | 20s | RU | Russia | male | train |
27406 | 21 | 20s | US | United States | male | train |
29325 | 22 | 20s | RO | Romania | male | train |
101264 | 28 | 20s | US | United States | male | train |
28522 | 17 | 10s | UK | United Kingdom | male | train |
66727 | 18 | 10s | BR | Brazil | male | train |
22343 | 49 | 40s | AU | Australia | male | train |
20633 | 22 | 20s | PL | Poland | male | train |
18810 | 29 | 20s | HR | Croatia | male | train |
35932 | 49 | 40s | BR | Brazil | female | train |
7905 | 22 | 20s | US | United States | female | train |
44391 | 23 | 20s | BR | Brazil | male | train |
4007 | 32 | 30s | JP | Japan | male | train |
14014 | 26 | 20s | SE | Sweden | female | train |
33705 | 26 | 20s | MX | Mexico | male | train |
19927 | 21 | 20s | UK | United Kingdom | female | train |
45248 | 25 | 20s | RU | Russia | male | train |
22063 | 27 | 20s | ES | Spain | female | train |
37701 | 28 | 20s | US | United States | female | train |
6624 | 24 | 20s | VE | Venezuela | male | train |
15626 | 25 | 20s | TR | Turkey | male | train |
3781 | 26 | 20s | BR | Brazil | female | train |
72328 | 20 | 20s | UK | United Kingdom | male | train |
3301 | 31 | 30s | NL | Netherlands | male | train |
17 | 30 | 30s | US | United States | male | train |
36143 | 19 | 10s | NZ | New Zealand | male | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.