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 |
|---|---|---|---|---|---|---|
7155 | 22 | 20s | BG | Bulgaria | female | train |
90702 | 19 | 10s | BR | Brazil | male | train |
59961 | 19 | 10s | KZ | Kazakhstan | female | train |
57005 | 16 | 10s | DE | Germany | female | train |
20550 | 22 | 20s | US | United States | male | train |
89457 | 20 | 20s | BR | Brazil | male | train |
57016 | 19 | 10s | SG | Singapore | female | train |
67956 | 18 | 10s | US | United States | male | train |
118329 | 17 | 10s | BR | Brazil | male | train |
39785 | 19 | 10s | UA | Ukraine | male | train |
5938 | 34 | 30s | DE | Germany | male | train |
6618 | 24 | 20s | BE | Belgium | male | train |
65807 | 15 | 10s | BR | Brazil | male | train |
6532 | 25 | 20s | RU | Russia | male | train |
32435 | 19 | 10s | ID | Indonesia | male | train |
93027 | 19 | 10s | NO | Norway | male | train |
8511 | 23 | 20s | US | United States | female | train |
59502 | 23 | 20s | RU | Russia | male | train |
15673 | 26 | 20s | CA | Canada | male | train |
9423 | 22 | 20s | DE | Germany | male | train |
108382 | 17 | 10s | BR | Brazil | male | train |
3343 | 36 | 30s | US | United States | male | train |
2035 | 37 | 30s | CZ | Czech Republic | male | train |
10880 | 22 | 20s | DE | Germany | male | train |
11397 | 27 | 20s | CZ | Czech Republic | male | train |
43639 | 20 | 20s | PL | Poland | male | train |
11642 | 29 | 20s | US | United States | male | train |
22044 | 27 | 20s | RU | Russia | female | train |
37784 | 18 | 10s | BG | Bulgaria | male | train |
6475 | 27 | 20s | PL | Poland | male | train |
4877 | 26 | 20s | SK | Slovakia | male | train |
82456 | 18 | 10s | PL | Poland | female | train |
8658 | 22 | 20s | BR | Brazil | female | train |
46264 | 29 | 20s | CA | Canada | male | train |
892 | 25 | 20s | UK | United Kingdom | male | train |
12281 | 28 | 20s | ES | Spain | male | train |
13541 | 16 | 10s | PL | Poland | male | train |
6608 | 19 | 10s | US | United States | female | train |
69492 | 26 | 20s | AU | Australia | male | train |
10558 | 25 | 20s | MX | Mexico | female | train |
24987 | 19 | 10s | PL | Poland | male | train |
46019 | 20 | 20s | TR | Turkey | female | train |
3037 | 25 | 20s | US | United States | male | train |
38711 | 20 | 20s | BR | Brazil | male | train |
18436 | 18 | 10s | IE | Ireland | female | train |
4454 | 24 | 20s | PR | Puerto Rico | male | train |
68867 | 23 | 20s | BR | Brazil | male | train |
63208 | 36 | 30s | MX | Mexico | male | train |
25166 | 25 | 20s | DE | Germany | male | train |
58051 | 19 | 10s | RU | Russia | male | train |
12736 | 20 | 20s | RU | Russia | female | train |
66642 | 17 | 10s | BG | Bulgaria | female | train |
57709 | 18 | 10s | EE | Estonia | male | train |
13410 | 20 | 20s | BR | Brazil | male | train |
1672 | 28 | 20s | US | United States | female | train |
41744 | 21 | 20s | US | United States | male | train |
52990 | 17 | 10s | DE | Germany | female | train |
63937 | 17 | 10s | BR | Brazil | male | train |
46895 | 20 | 20s | FI | Finland | male | train |
27702 | 29 | 20s | US | United States | female | train |
38117 | 38 | 30s | UK | United Kingdom | male | train |
45181 | 22 | 20s | RU | Russia | female | train |
12153 | 28 | 20s | TR | Turkey | male | train |
27300 | 20 | 20s | BR | Brazil | male | train |
18377 | 29 | 20s | US | United States | male | train |
7737 | 23 | 20s | FR | France | male | train |
21830 | 21 | 20s | UK | United Kingdom | male | train |
65531 | 14 | 10s | BR | Brazil | male | train |
60759 | 17 | 10s | US | United States | male | train |
40611 | 19 | 10s | US | United States | male | train |
560 | 29 | 20s | DE | Germany | female | train |
108426 | 20 | 20s | AR | Argentina | male | train |
44882 | 23 | 20s | BY | Belarus | male | train |
102679 | 63 | 60+ | US | United States | male | train |
29109 | 32 | 30s | RS | Serbia | male | train |
167 | 34 | 30s | US | United States | male | train |
1094 | 25 | 20s | RU | Russia | male | train |
49787 | 20 | 20s | PL | Poland | male | train |
1966 | 25 | 20s | UK | United Kingdom | male | train |
44635 | 22 | 20s | UA | Ukraine | male | train |
34320 | 22 | 20s | BR | Brazil | male | train |
26927 | 21 | 20s | CZ | Czech Republic | male | train |
39813 | 16 | 10s | US | United States | male | train |
43578 | 24 | 20s | UA | Ukraine | male | train |
52277 | 17 | 10s | US | United States | female | train |
46744 | 22 | 20s | UA | Ukraine | female | train |
46732 | 28 | 20s | SA | Saudi Arabia | male | train |
46900 | 27 | 20s | DE | Germany | male | train |
75581 | 19 | 10s | US | United States | female | train |
14630 | 26 | 20s | US | United States | female | train |
48048 | 25 | 20s | US | United States | male | train |
15327 | 23 | 20s | AR | Argentina | female | train |
9673 | 22 | 20s | CL | Chile | female | train |
68989 | 20 | 20s | CL | Chile | male | train |
84458 | 19 | 10s | PL | Poland | female | train |
98659 | 23 | 20s | AU | Australia | male | train |
2573 | 23 | 20s | SE | Sweden | female | train |
11611 | 26 | 20s | BY | Belarus | male | train |
5902 | 29 | 20s | US | United States | male | train |
29511 | 20 | 20s | PL | Poland | female | train |
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