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 |
|---|---|---|---|---|---|---|
15031 | 22 | 20s | LV | Latvia | male | train |
16320 | 26 | 20s | PL | Poland | female | train |
67698 | 35 | 30s | NL | Netherlands | male | train |
7845 | 27 | 20s | CZ | Czech Republic | male | train |
3419 | 33 | 30s | US | United States | female | train |
17703 | 22 | 20s | BR | Brazil | male | train |
63159 | 19 | 10s | US | United States | male | train |
5606 | 22 | 20s | DE | Germany | male | train |
13016 | 24 | 20s | RU | Russia | male | train |
54439 | 18 | 10s | UK | United Kingdom | male | train |
4927 | 31 | 30s | PL | Poland | male | train |
54592 | 17 | 10s | ID | Indonesia | male | train |
76124 | 19 | 10s | GT | Guatemala | male | train |
35361 | 17 | 10s | BG | Bulgaria | female | train |
3643 | 22 | 20s | BR | Brazil | male | train |
3222 | 25 | 20s | FI | Finland | male | train |
32975 | 20 | 20s | BR | Brazil | female | train |
53114 | 27 | 20s | DE | Germany | male | train |
22927 | 24 | 20s | UK | United Kingdom | male | train |
2718 | 28 | 20s | AT | Austria | male | train |
11593 | 20 | 20s | NO | Norway | male | train |
74235 | 26 | 20s | PH | Philippines | female | train |
909 | 25 | 20s | UK | United Kingdom | male | train |
43073 | 19 | 10s | NO | Norway | male | train |
23465 | 24 | 20s | PL | Poland | female | train |
550 | 27 | 20s | NO | Norway | female | train |
34178 | 22 | 20s | NL | Netherlands | male | train |
1033 | 29 | 20s | US | United States | male | train |
12810 | 20 | 20s | BR | Brazil | male | train |
20299 | 20 | 20s | RU | Russia | male | train |
53389 | 22 | 20s | HR | Croatia | male | train |
26152 | 28 | 20s | PT | Portugal | male | train |
13295 | 28 | 20s | PL | Poland | female | train |
67290 | 20 | 20s | US | United States | female | train |
69555 | 55 | 50s | US | United States | female | train |
17761 | 52 | 50s | US | United States | male | train |
25285 | 30 | 30s | US | United States | male | train |
12345 | 27 | 20s | BR | Brazil | male | train |
31757 | 21 | 20s | AR | Argentina | male | train |
55068 | 21 | 20s | US | United States | male | train |
92711 | 30 | 30s | US | United States | male | train |
23963 | 38 | 30s | BR | Brazil | male | train |
63579 | 18 | 10s | US | United States | male | train |
26249 | 23 | 20s | FR | France | male | train |
114156 | 26 | 20s | ID | Indonesia | male | train |
7740 | 21 | 20s | UK | United Kingdom | male | train |
9335 | 29 | 20s | BR | Brazil | male | train |
8006 | 29 | 20s | FI | Finland | male | train |
2018 | 23 | 20s | FI | Finland | male | train |
37444 | 20 | 20s | NL | Netherlands | male | train |
84871 | 19 | 10s | US | United States | male | train |
56430 | 21 | 20s | RU | Russia | male | train |
12680 | 26 | 20s | US | United States | female | train |
14632 | 29 | 20s | DE | Germany | male | train |
48644 | 17 | 10s | PL | Poland | female | train |
46239 | 19 | 10s | NL | Netherlands | female | train |
17179 | 26 | 20s | MX | Mexico | male | train |
4221 | 25 | 20s | CZ | Czech Republic | female | train |
37203 | 16 | 10s | RU | Russia | male | train |
1685 | 54 | 50s | UK | United Kingdom | male | train |
980 | 26 | 20s | UA | Ukraine | male | train |
419 | 23 | 20s | UK | United Kingdom | female | train |
36059 | 27 | 20s | DE | Germany | male | train |
44375 | 21 | 20s | MX | Mexico | male | train |
49706 | 19 | 10s | HU | Hungary | male | train |
7722 | 20 | 20s | BR | Brazil | male | train |
6427 | 48 | 40s | UK | United Kingdom | male | train |
34681 | 20 | 20s | US | United States | male | train |
8154 | 25 | 20s | RU | Russia | male | train |
12507 | 25 | 20s | UK | United Kingdom | male | train |
23883 | 21 | 20s | PL | Poland | female | train |
18781 | 21 | 20s | SE | Sweden | male | train |
71423 | 15 | 10s | BR | Brazil | male | train |
6106 | 21 | 20s | DE | Germany | female | train |
155 | 35 | 30s | NZ | New Zealand | male | train |
107907 | 17 | 10s | LV | Latvia | male | train |
52587 | 18 | 10s | AR | Argentina | male | train |
526 | 32 | 30s | LU | Luxembourg | male | train |
51211 | 56 | 50s | UK | United Kingdom | male | train |
42892 | 22 | 20s | RU | Russia | female | train |
18415 | 26 | 20s | MX | Mexico | male | train |
48680 | 20 | 20s | UK | United Kingdom | male | train |
24095 | 29 | 20s | UK | United Kingdom | male | train |
50034 | 19 | 10s | BD | Bangladesh | male | train |
20297 | 19 | 10s | US | United States | male | train |
32759 | 23 | 20s | PL | Poland | female | train |
90471 | 18 | 10s | UA | Ukraine | male | train |
37871 | 21 | 20s | PL | Poland | female | train |
14706 | 27 | 20s | DE | Germany | male | train |
45951 | 17 | 10s | BR | Brazil | male | train |
75842 | 24 | 20s | RU | Russia | female | train |
13804 | 22 | 20s | US | United States | male | train |
12921 | 22 | 20s | DK | Denmark | male | train |
1607 | 23 | 20s | US | United States | male | train |
28254 | 22 | 20s | BR | Brazil | male | train |
7331 | 25 | 20s | CZ | Czech Republic | male | train |
64917 | 23 | 20s | BY | Belarus | male | train |
25024 | 24 | 20s | BR | Brazil | female | train |
1819 | 22 | 20s | EE | Estonia | male | train |
28362 | 21 | 20s | PL | Poland | female | train |
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