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 |
|---|---|---|---|---|---|---|
53086 | 21 | 20s | UK | United Kingdom | male | train |
87506 | 18 | 10s | BR | Brazil | male | train |
31511 | 47 | 40s | SE | Sweden | male | train |
18496 | 25 | 20s | SE | Sweden | female | train |
7660 | 33 | 30s | IT | Italy | male | train |
33638 | 23 | 20s | US | United States | male | train |
24649 | 27 | 20s | ZA | South Africa | male | train |
7255 | 26 | 20s | BR | Brazil | male | train |
55042 | 18 | 10s | BR | Brazil | male | train |
14454 | 37 | 30s | DE | Germany | male | train |
23001 | 29 | 20s | PL | Poland | male | train |
48853 | 32 | 30s | AU | Australia | female | train |
28749 | 21 | 20s | BR | Brazil | female | train |
29113 | 20 | 20s | TR | Turkey | female | train |
34041 | 28 | 20s | BR | Brazil | male | train |
46223 | 23 | 20s | RU | Russia | male | train |
10646 | 20 | 20s | UK | United Kingdom | male | train |
53526 | 19 | 10s | US | United States | male | train |
68869 | 24 | 20s | BR | Brazil | female | train |
67941 | 16 | 10s | BR | Brazil | female | train |
29916 | 20 | 20s | PL | Poland | male | train |
7063 | 32 | 30s | AR | Argentina | male | train |
7316 | 30 | 30s | HR | Croatia | male | train |
30719 | 22 | 20s | UA | Ukraine | female | train |
657 | 33 | 30s | US | United States | male | train |
2435 | 33 | 30s | US | United States | male | train |
15128 | 21 | 20s | PL | Poland | female | train |
8536 | 21 | 20s | US | United States | male | train |
4314 | 25 | 20s | CZ | Czech Republic | male | train |
1044 | 32 | 30s | PL | Poland | male | train |
33102 | 39 | 30s | ES | Spain | female | train |
26988 | 22 | 20s | HR | Croatia | male | train |
33745 | 25 | 20s | IR | Iran | male | train |
17250 | 23 | 20s | NL | Netherlands | male | train |
37070 | 23 | 20s | US | United States | female | train |
11507 | 29 | 20s | US | United States | female | train |
11359 | 26 | 20s | SE | Sweden | male | train |
25432 | 20 | 20s | UA | Ukraine | male | train |
14795 | 25 | 20s | PL | Poland | male | train |
23895 | 21 | 20s | DE | Germany | female | train |
10651 | 37 | 30s | UK | United Kingdom | male | train |
2808 | 31 | 30s | BR | Brazil | female | train |
36917 | 20 | 20s | AU | Australia | male | train |
2755 | 29 | 20s | DE | Germany | male | train |
14668 | 23 | 20s | US | United States | male | train |
38043 | 21 | 20s | FI | Finland | male | train |
53803 | 17 | 10s | NL | Netherlands | male | train |
48587 | 18 | 10s | DE | Germany | male | train |
2289 | 24 | 20s | UK | United Kingdom | male | train |
62830 | 17 | 10s | BR | Brazil | female | train |
32208 | 40 | 40s | UK | United Kingdom | male | train |
37969 | 24 | 20s | VE | Venezuela | male | train |
10606 | 23 | 20s | MX | Mexico | male | train |
2740 | 41 | 40s | SE | Sweden | male | train |
25491 | 20 | 20s | BR | Brazil | male | train |
60550 | 46 | 40s | US | United States | male | train |
114317 | 17 | 10s | LT | Lithuania | male | train |
18183 | 41 | 40s | NO | Norway | male | train |
33713 | 21 | 20s | BR | Brazil | male | train |
9620 | 24 | 20s | PL | Poland | male | train |
2713 | 31 | 30s | RS | Serbia | male | train |
11539 | 29 | 20s | HN | Honduras | male | train |
29725 | 19 | 10s | PL | Poland | male | train |
76844 | 18 | 10s | US | United States | male | train |
54526 | 19 | 10s | BE | Belgium | male | train |
14676 | 15 | 10s | HM | Heard Island and McDonald Islands | female | train |
14649 | 46 | 40s | UK | United Kingdom | male | train |
7494 | 24 | 20s | PL | Poland | female | train |
50936 | 22 | 20s | NL | Netherlands | female | train |
6193 | 23 | 20s | PL | Poland | male | train |
88 | 25 | 20s | UK | United Kingdom | female | train |
13707 | 23 | 20s | IE | Ireland | male | train |
39029 | 18 | 10s | DE | Germany | male | train |
25282 | 39 | 30s | FR | France | male | train |
29107 | 21 | 20s | MY | Malaysia | female | train |
14968 | 25 | 20s | RU | Russia | female | train |
17520 | 28 | 20s | GT | Guatemala | male | train |
8234 | 21 | 20s | PL | Poland | female | train |
4923 | 22 | 20s | SE | Sweden | male | train |
15542 | 20 | 20s | SE | Sweden | male | train |
37105 | 21 | 20s | BR | Brazil | male | train |
57558 | 15 | 10s | PL | Poland | male | train |
54616 | 21 | 20s | US | United States | male | train |
51677 | 19 | 10s | UK | United Kingdom | male | train |
10655 | 33 | 30s | NO | Norway | male | train |
39563 | 22 | 20s | DE | Germany | female | train |
14467 | 24 | 20s | UK | United Kingdom | male | train |
48375 | 22 | 20s | BR | Brazil | male | train |
32870 | 21 | 20s | BE | Belgium | male | train |
54505 | 21 | 20s | PL | Poland | male | train |
5796 | 27 | 20s | CZ | Czech Republic | male | train |
66674 | 17 | 10s | TR | Turkey | male | train |
20036 | 26 | 20s | UK | United Kingdom | male | train |
95902 | 18 | 10s | BR | Brazil | female | train |
8396 | 23 | 20s | SE | Sweden | male | train |
2997 | 27 | 20s | AT | Austria | male | train |
48359 | 25 | 20s | US | United States | male | train |
49270 | 21 | 20s | UK | United Kingdom | male | train |
56991 | 18 | 10s | BR | Brazil | male | train |
5597 | 32 | 30s | ZA | South Africa | male | train |
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