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 |
|---|---|---|---|---|---|---|
28011 | 26 | 20s | PH | Philippines | male | train |
4472 | 24 | 20s | US | United States | male | train |
30328 | 24 | 20s | RU | Russia | female | train |
55402 | 19 | 10s | NL | Netherlands | male | train |
89439 | 21 | 20s | US | United States | male | train |
12456 | 26 | 20s | RU | Russia | male | train |
44525 | 19 | 10s | AU | Australia | female | train |
23664 | 19 | 10s | FR | France | female | train |
10154 | 22 | 20s | PL | Poland | female | train |
36716 | 21 | 20s | RU | Russia | male | train |
36912 | 25 | 20s | US | United States | male | train |
9628 | 28 | 20s | US | United States | male | train |
15046 | 18 | 10s | SG | Singapore | female | train |
32994 | 25 | 20s | MX | Mexico | male | train |
5268 | 49 | 40s | HR | Croatia | male | train |
44906 | 23 | 20s | DE | Germany | female | train |
51410 | 18 | 10s | HR | Croatia | male | train |
4935 | 22 | 20s | RU | Russia | male | train |
20696 | 48 | 40s | DE | Germany | male | train |
70165 | 24 | 20s | PL | Poland | male | train |
46081 | 16 | 10s | BR | Brazil | female | train |
84574 | 19 | 10s | VN | Vietnam | male | train |
25778 | 26 | 20s | DE | Germany | male | train |
61699 | 23 | 20s | AU | Australia | male | train |
18893 | 19 | 10s | BR | Brazil | male | train |
2161 | 24 | 20s | SE | Sweden | male | train |
39981 | 21 | 20s | BE | Belgium | male | train |
4140 | 22 | 20s | UK | United Kingdom | male | train |
23040 | 30 | 30s | PL | Poland | male | train |
33265 | 24 | 20s | RU | Russia | male | train |
32602 | 20 | 20s | IR | Iran | male | train |
83065 | 16 | 10s | FR | France | male | train |
3458 | 25 | 20s | UK | United Kingdom | male | train |
35886 | 19 | 10s | SE | Sweden | female | train |
21340 | 21 | 20s | BG | Bulgaria | male | train |
29659 | 21 | 20s | US | United States | male | train |
91017 | 18 | 10s | BR | Brazil | male | train |
8691 | 23 | 20s | AT | Austria | female | train |
74508 | 23 | 20s | US | United States | female | train |
43549 | 30 | 30s | DE | Germany | female | train |
23372 | 20 | 20s | PL | Poland | female | train |
28394 | 34 | 30s | JP | Japan | female | train |
41759 | 45 | 40s | US | United States | male | train |
16266 | 20 | 20s | PL | Poland | male | train |
38527 | 33 | 30s | FR | France | male | train |
8372 | 32 | 30s | NL | Netherlands | male | train |
46785 | 20 | 20s | US | United States | male | train |
17165 | 25 | 20s | ES | Spain | male | train |
33797 | 19 | 10s | DE | Germany | female | train |
622 | 24 | 20s | AU | Australia | female | train |
15588 | 28 | 20s | DE | Germany | male | train |
50106 | 22 | 20s | UA | Ukraine | female | train |
18409 | 24 | 20s | SE | Sweden | male | train |
19238 | 18 | 10s | PL | Poland | male | train |
27612 | 19 | 10s | US | United States | male | train |
21994 | 24 | 20s | AU | Australia | female | train |
19691 | 28 | 20s | MX | Mexico | female | train |
13428 | 38 | 30s | GH | Ghana | male | train |
49960 | 18 | 10s | DE | Germany | female | train |
69147 | 36 | 30s | MX | Mexico | male | train |
17113 | 21 | 20s | PL | Poland | female | train |
54857 | 15 | 10s | BR | Brazil | female | train |
39055 | 17 | 10s | DE | Germany | male | train |
23371 | 35 | 30s | DE | Germany | male | train |
38646 | 21 | 20s | AU | Australia | male | train |
10393 | 21 | 20s | CZ | Czech Republic | male | train |
29712 | 18 | 10s | JP | Japan | female | train |
28101 | 29 | 20s | MK | North Macedonia | male | train |
37831 | 25 | 20s | US | United States | male | train |
50584 | 16 | 10s | BR | Brazil | male | train |
9783 | 44 | 40s | UK | United Kingdom | male | train |
12677 | 22 | 20s | UK | United Kingdom | male | train |
47735 | 18 | 10s | MX | Mexico | male | train |
106129 | 52 | 50s | US | United States | male | train |
54945 | 15 | 10s | BR | Brazil | male | train |
54964 | 23 | 20s | PT | Portugal | male | train |
57944 | 18 | 10s | CL | Chile | female | train |
59818 | 23 | 20s | ES | Spain | female | train |
39171 | 24 | 20s | AR | Argentina | female | train |
46759 | 19 | 10s | PL | Poland | male | train |
35502 | 19 | 10s | HR | Croatia | female | train |
7474 | 29 | 20s | UK | United Kingdom | male | train |
36464 | 19 | 10s | NL | Netherlands | male | train |
56345 | 18 | 10s | RU | Russia | male | train |
3229 | 24 | 20s | UK | United Kingdom | male | train |
27284 | 23 | 20s | DE | Germany | female | train |
1282 | 30 | 30s | US | United States | male | train |
53333 | 21 | 20s | PL | Poland | male | train |
4456 | 23 | 20s | US | United States | female | train |
23957 | 18 | 10s | TR | Turkey | male | train |
73829 | 19 | 10s | US | United States | male | train |
27650 | 32 | 30s | US | United States | male | train |
2198 | 23 | 20s | DE | Germany | male | train |
55575 | 22 | 20s | CZ | Czech Republic | male | train |
31265 | 20 | 20s | UA | Ukraine | male | train |
27644 | 24 | 20s | US | United States | female | train |
17359 | 22 | 20s | AU | Australia | female | train |
35673 | 22 | 20s | CZ | Czech Republic | male | train |
46695 | 20 | 20s | US | United States | female | train |
72184 | 26 | 20s | BR | Brazil | female | train |
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