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 |
|---|---|---|---|---|---|---|
68688 | 19 | 10s | UK | United Kingdom | male | train |
22292 | 23 | 20s | NL | Netherlands | male | train |
14635 | 23 | 20s | BR | Brazil | male | train |
101391 | 22 | 20s | BR | Brazil | male | train |
37061 | 19 | 10s | RU | Russia | female | train |
24257 | 20 | 20s | BR | Brazil | male | train |
56501 | 19 | 10s | DE | Germany | male | train |
25836 | 26 | 20s | US | United States | male | train |
24888 | 26 | 20s | DK | Denmark | male | train |
66245 | 18 | 10s | BR | Brazil | male | train |
14556 | 21 | 20s | BR | Brazil | female | train |
30659 | 19 | 10s | DE | Germany | male | train |
40302 | 25 | 20s | US | United States | female | train |
4807 | 24 | 20s | SE | Sweden | male | train |
40223 | 23 | 20s | US | United States | male | train |
44656 | 22 | 20s | AU | Australia | female | train |
18731 | 30 | 30s | US | United States | male | train |
29137 | 25 | 20s | DE | Germany | male | train |
6633 | 23 | 20s | SG | Singapore | male | train |
36561 | 18 | 10s | US | United States | male | train |
32855 | 31 | 30s | CL | Chile | male | train |
20757 | 33 | 30s | JP | Japan | male | train |
50351 | 17 | 10s | PL | Poland | female | train |
5663 | 22 | 20s | UK | United Kingdom | female | train |
38552 | 23 | 20s | US | United States | female | train |
77544 | 22 | 20s | BR | Brazil | female | train |
10436 | 10 | 10s | RO | Romania | male | train |
21050 | 24 | 20s | FI | Finland | male | train |
2786 | 32 | 30s | RU | Russia | female | train |
62492 | 22 | 20s | BR | Brazil | male | train |
57892 | 18 | 10s | US | United States | male | train |
18358 | 21 | 20s | US | United States | male | train |
16467 | 32 | 30s | RS | Serbia | male | train |
60866 | 18 | 10s | NO | Norway | male | train |
28440 | 27 | 20s | UA | Ukraine | male | train |
1042 | 37 | 30s | SE | Sweden | male | train |
34817 | 22 | 20s | US | United States | male | train |
5765 | 28 | 20s | PL | Poland | male | train |
21768 | 22 | 20s | US | United States | male | train |
13528 | 22 | 20s | BR | Brazil | female | train |
16845 | 23 | 20s | PL | Poland | male | train |
35415 | 22 | 20s | DE | Germany | male | train |
33546 | 19 | 10s | BR | Brazil | male | train |
59734 | 16 | 10s | US | United States | female | train |
4343 | 30 | 30s | US | United States | male | train |
37973 | 21 | 20s | BR | Brazil | male | train |
73531 | 16 | 10s | BR | Brazil | female | train |
30017 | 19 | 10s | US | United States | female | train |
69769 | 18 | 10s | BR | Brazil | female | train |
26354 | 23 | 20s | UA | Ukraine | male | train |
22369 | 34 | 30s | AU | Australia | male | train |
1131 | 26 | 20s | NL | Netherlands | male | train |
19137 | 16 | 10s | NL | Netherlands | female | train |
34265 | 25 | 20s | PL | Poland | male | train |
10953 | 28 | 20s | CZ | Czech Republic | male | train |
72725 | 18 | 10s | RU | Russia | male | train |
2073 | 25 | 20s | UK | United Kingdom | male | train |
26757 | 19 | 10s | SE | Sweden | male | train |
25950 | 23 | 20s | US | United States | female | train |
23985 | 16 | 10s | PT | Portugal | male | train |
24472 | 22 | 20s | CL | Chile | male | train |
18302 | 28 | 20s | US | United States | male | train |
31441 | 23 | 20s | PL | Poland | female | train |
32022 | 21 | 20s | PL | Poland | female | train |
16204 | 20 | 20s | AT | Austria | male | train |
83 | 24 | 20s | AU | Australia | female | train |
1114 | 24 | 20s | US | United States | male | train |
22214 | 20 | 20s | PL | Poland | male | train |
30596 | 21 | 20s | NO | Norway | male | train |
114378 | 15 | 10s | BR | Brazil | male | train |
22892 | 19 | 10s | SK | Slovakia | male | train |
13995 | 25 | 20s | RU | Russia | female | train |
654 | 27 | 20s | UK | United Kingdom | male | train |
70427 | 19 | 10s | AR | Argentina | female | train |
50644 | 21 | 20s | RU | Russia | female | train |
27891 | 19 | 10s | HR | Croatia | female | train |
4493 | 25 | 20s | PL | Poland | female | train |
80744 | 27 | 20s | US | United States | female | train |
6812 | 22 | 20s | US | United States | female | train |
45709 | 25 | 20s | UK | United Kingdom | male | train |
15239 | 22 | 20s | US | United States | male | train |
70074 | 22 | 20s | AU | Australia | male | train |
113325 | 33 | 30s | MK | North Macedonia | male | train |
49039 | 20 | 20s | RU | Russia | male | train |
65 | 30 | 30s | UK | United Kingdom | male | train |
3768 | 27 | 20s | US | United States | male | train |
33493 | 22 | 20s | US | United States | male | train |
7367 | 30 | 30s | CZ | Czech Republic | male | train |
17753 | 22 | 20s | BE | Belgium | male | train |
36545 | 28 | 20s | DE | Germany | female | train |
19520 | 30 | 30s | CH | Switzerland | male | train |
31339 | 25 | 20s | BR | Brazil | male | train |
83789 | 19 | 10s | PL | Poland | female | train |
10221 | 25 | 20s | BE | Belgium | male | train |
21953 | 22 | 20s | PL | Poland | female | train |
819 | 26 | 20s | US | United States | male | train |
38966 | 18 | 10s | RU | Russia | male | train |
19220 | 25 | 20s | RU | Russia | male | train |
7213 | 23 | 20s | FR | France | female | train |
82498 | 23 | 20s | US | United States | male | train |
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