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 |
|---|---|---|---|---|---|---|
22012 | 23 | 20s | PL | Poland | male | train |
34923 | 23 | 20s | RS | Serbia | male | train |
9701 | 21 | 20s | CZ | Czech Republic | male | train |
21640 | 21 | 20s | PL | Poland | male | train |
34683 | 19 | 10s | BR | Brazil | male | train |
12225 | 24 | 20s | LA | Laos | male | train |
40320 | 20 | 20s | UK | United Kingdom | male | train |
50416 | 23 | 20s | CL | Chile | male | train |
35192 | 18 | 10s | FI | Finland | female | train |
12654 | 23 | 20s | BR | Brazil | male | train |
38950 | 17 | 10s | FI | Finland | male | train |
5589 | 31 | 30s | ES | Spain | male | train |
35653 | 28 | 20s | US | United States | male | train |
57116 | 18 | 10s | UA | Ukraine | male | train |
43650 | 18 | 10s | FI | Finland | male | train |
15825 | 24 | 20s | FI | Finland | male | train |
11215 | 35 | 30s | BR | Brazil | male | train |
15138 | 22 | 20s | UK | United Kingdom | male | train |
48467 | 17 | 10s | BR | Brazil | male | train |
36674 | 24 | 20s | PT | Portugal | male | train |
15919 | 25 | 20s | PL | Poland | male | train |
41969 | 24 | 20s | BR | Brazil | male | train |
32099 | 39 | 30s | DE | Germany | male | train |
24311 | 22 | 20s | UA | Ukraine | female | train |
1445 | 34 | 30s | NO | Norway | male | train |
74194 | 19 | 10s | PL | Poland | male | train |
40628 | 19 | 10s | US | United States | male | train |
45920 | 22 | 20s | NL | Netherlands | male | train |
21705 | 19 | 10s | US | United States | male | train |
20903 | 29 | 20s | US | United States | male | train |
50233 | 18 | 10s | AU | Australia | male | train |
18807 | 20 | 20s | NL | Netherlands | male | train |
60729 | 18 | 10s | PL | Poland | female | train |
23519 | 20 | 20s | SE | Sweden | male | train |
16640 | 20 | 20s | DE | Germany | male | train |
11913 | 31 | 30s | ES | Spain | male | train |
2910 | 22 | 20s | BR | Brazil | male | train |
73812 | 21 | 20s | PL | Poland | female | train |
821 | 27 | 20s | CZ | Czech Republic | male | train |
74150 | 22 | 20s | ES | Spain | male | train |
31736 | 23 | 20s | HR | Croatia | male | train |
99197 | 27 | 20s | RU | Russia | male | train |
48267 | 33 | 30s | RU | Russia | female | train |
3299 | 27 | 20s | DE | Germany | male | train |
70101 | 25 | 20s | DE | Germany | male | train |
4327 | 22 | 20s | US | United States | female | train |
91762 | 16 | 10s | FR | France | male | train |
4250 | 25 | 20s | FI | Finland | male | train |
35025 | 18 | 10s | PL | Poland | male | train |
18721 | 22 | 20s | PL | Poland | female | train |
46933 | 31 | 30s | BR | Brazil | male | train |
26862 | 24 | 20s | SI | Slovenia | female | train |
3268 | 25 | 20s | UK | United Kingdom | female | train |
13055 | 35 | 30s | CA | Canada | male | train |
25344 | 20 | 20s | UA | Ukraine | male | train |
17504 | 25 | 20s | RU | Russia | male | train |
19728 | 24 | 20s | DE | Germany | male | train |
27822 | 22 | 20s | DE | Germany | male | train |
1502 | 23 | 20s | FI | Finland | male | train |
74474 | 21 | 20s | VE | Venezuela | male | train |
4279 | 29 | 20s | FI | Finland | male | train |
36081 | 20 | 20s | US | United States | male | train |
23982 | 26 | 20s | PH | Philippines | male | train |
1223 | 29 | 20s | RU | Russia | male | train |
27213 | 22 | 20s | RU | Russia | male | train |
4412 | 27 | 20s | RU | Russia | male | train |
9972 | 28 | 20s | US | United States | male | train |
5437 | 28 | 20s | PL | Poland | male | train |
29742 | 25 | 20s | PL | Poland | male | train |
4911 | 33 | 30s | NL | Netherlands | male | train |
9987 | 20 | 20s | NL | Netherlands | male | train |
37385 | 19 | 10s | RU | Russia | male | train |
44139 | 23 | 20s | BE | Belgium | female | train |
7487 | 26 | 20s | US | United States | male | train |
37928 | 21 | 20s | US | United States | male | train |
5600 | 19 | 10s | US | United States | male | train |
18606 | 29 | 20s | US | United States | male | train |
42950 | 21 | 20s | US | United States | male | train |
8703 | 30 | 30s | BG | Bulgaria | male | train |
55569 | 20 | 20s | HR | Croatia | female | train |
36259 | 20 | 20s | UK | United Kingdom | male | train |
84714 | 26 | 20s | ES | Spain | male | train |
33890 | 19 | 10s | US | United States | female | train |
15100 | 36 | 30s | IE | Ireland | male | train |
76152 | 20 | 20s | UK | United Kingdom | male | train |
69944 | 16 | 10s | NL | Netherlands | male | train |
21892 | 26 | 20s | BY | Belarus | male | train |
6757 | 22 | 20s | BE | Belgium | male | train |
21698 | 18 | 10s | SG | Singapore | female | train |
2561 | 25 | 20s | PL | Poland | female | train |
39735 | 17 | 10s | FI | Finland | female | train |
48387 | 23 | 20s | ID | Indonesia | male | train |
4679 | 26 | 20s | US | United States | female | train |
36149 | 21 | 20s | DE | Germany | female | train |
38267 | 21 | 20s | PL | Poland | male | train |
82670 | 19 | 10s | PL | Poland | female | train |
62826 | 23 | 20s | BR | Brazil | male | train |
92929 | 19 | 10s | SE | Sweden | female | train |
28494 | 24 | 20s | CL | Chile | male | train |
46736 | 17 | 10s | DE | Germany | female | train |
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