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 |
|---|---|---|---|---|---|---|
16227 | 24 | 20s | PL | Poland | female | train |
20360 | 23 | 20s | SE | Sweden | male | train |
1584 | 25 | 20s | US | United States | male | train |
15989 | 31 | 30s | RU | Russia | female | train |
24195 | 32 | 30s | BR | Brazil | female | train |
4872 | 32 | 30s | UK | United Kingdom | male | train |
102819 | 18 | 10s | IR | Iran | male | train |
40024 | 18 | 10s | PL | Poland | female | train |
55599 | 20 | 20s | US | United States | male | train |
21424 | 20 | 20s | US | United States | male | train |
34131 | 20 | 20s | UK | United Kingdom | male | train |
7329 | 23 | 20s | RO | Romania | male | train |
11983 | 23 | 20s | AU | Australia | male | train |
18577 | 22 | 20s | UA | Ukraine | male | train |
60812 | 20 | 20s | NL | Netherlands | male | train |
45664 | 19 | 10s | US | United States | female | train |
48458 | 21 | 20s | PE | Peru | male | train |
23157 | 46 | 40s | JP | Japan | male | train |
9069 | 30 | 30s | PL | Poland | male | train |
15974 | 20 | 20s | CZ | Czech Republic | male | train |
39613 | 20 | 20s | PL | Poland | female | train |
33561 | 23 | 20s | BR | Brazil | female | train |
45854 | 22 | 20s | PL | Poland | male | train |
71966 | 18 | 10s | RU | Russia | male | train |
62994 | 33 | 30s | RU | Russia | male | train |
15385 | 32 | 30s | AU | Australia | male | train |
5821 | 23 | 20s | PT | Portugal | male | train |
5158 | 20 | 20s | UK | United Kingdom | male | train |
1708 | 34 | 30s | RU | Russia | male | train |
7172 | 21 | 20s | UK | United Kingdom | female | train |
5444 | 26 | 20s | DE | Germany | male | train |
64125 | 22 | 20s | PL | Poland | female | train |
7787 | 24 | 20s | FI | Finland | male | train |
58881 | 21 | 20s | PH | Philippines | female | train |
39239 | 23 | 20s | DE | Germany | male | train |
25308 | 20 | 20s | US | United States | male | train |
51631 | 18 | 10s | US | United States | male | train |
116432 | 16 | 10s | BR | Brazil | male | train |
14193 | 28 | 20s | IT | Italy | female | train |
18426 | 28 | 20s | ES | Spain | female | train |
46350 | 19 | 10s | LV | Latvia | female | train |
15127 | 26 | 20s | RU | Russia | male | train |
19533 | 22 | 20s | AU | Australia | female | train |
4354 | 25 | 20s | SE | Sweden | male | train |
103081 | 15 | 10s | NL | Netherlands | female | train |
26105 | 23 | 20s | NL | Netherlands | female | train |
6381 | 23 | 20s | DE | Germany | male | train |
66537 | 22 | 20s | PL | Poland | male | train |
87743 | 18 | 10s | ID | Indonesia | male | train |
49141 | 19 | 10s | US | United States | male | train |
46952 | 18 | 10s | RU | Russia | male | train |
65867 | 19 | 10s | ID | Indonesia | male | train |
13779 | 22 | 20s | IT | Italy | male | train |
20614 | 20 | 20s | TR | Turkey | female | train |
19234 | 19 | 10s | PL | Poland | male | train |
45981 | 19 | 10s | UA | Ukraine | male | train |
32895 | 28 | 20s | BR | Brazil | male | train |
16746 | 22 | 20s | SE | Sweden | male | train |
54693 | 18 | 10s | CL | Chile | male | train |
29034 | 26 | 20s | BR | Brazil | female | train |
32039 | 19 | 10s | LV | Latvia | female | train |
16011 | 22 | 20s | BR | Brazil | male | train |
22152 | 30 | 30s | BR | Brazil | male | train |
3112 | 22 | 20s | LV | Latvia | male | train |
29430 | 24 | 20s | DE | Germany | male | train |
33726 | 21 | 20s | DE | Germany | male | train |
10415 | 25 | 20s | KZ | Kazakhstan | male | train |
7757 | 23 | 20s | US | United States | male | train |
102304 | 21 | 20s | PL | Poland | female | train |
53954 | 20 | 20s | SE | Sweden | female | train |
6457 | 22 | 20s | US | United States | male | train |
1437 | 24 | 20s | CA | Canada | male | train |
16460 | 18 | 10s | BR | Brazil | male | train |
49884 | 18 | 10s | KZ | Kazakhstan | male | train |
13894 | 33 | 30s | FI | Finland | male | train |
14131 | 19 | 10s | FI | Finland | female | train |
32734 | 21 | 20s | BR | Brazil | female | train |
8432 | 25 | 20s | AU | Australia | male | train |
8020 | 22 | 20s | CA | Canada | male | train |
88075 | 23 | 20s | US | United States | female | train |
575 | 33 | 30s | SE | Sweden | male | train |
62376 | 25 | 20s | UK | United Kingdom | male | train |
3411 | 26 | 20s | US | United States | female | train |
20639 | 22 | 20s | PL | Poland | male | train |
16082 | 26 | 20s | US | United States | female | train |
11335 | 27 | 20s | MX | Mexico | female | train |
56771 | 18 | 10s | PL | Poland | male | train |
55299 | 29 | 20s | JP | Japan | male | train |
38384 | 20 | 20s | CZ | Czech Republic | male | train |
22495 | 20 | 20s | US | United States | male | train |
136 | 26 | 20s | UK | United Kingdom | male | train |
54503 | 19 | 10s | AR | Argentina | female | train |
5961 | 24 | 20s | US | United States | male | train |
32084 | 24 | 20s | PL | Poland | male | train |
85621 | 21 | 20s | US | United States | female | train |
40002 | 24 | 20s | RU | Russia | female | train |
16608 | 32 | 30s | AU | Australia | male | train |
63503 | 18 | 10s | PL | Poland | male | train |
82485 | 22 | 20s | AR | Argentina | female | train |
23482 | 25 | 20s | UK | United Kingdom | male | train |
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