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 |
|---|---|---|---|---|---|---|
3344 | 24 | 20s | DZ | Algeria | male | train |
100343 | 17 | 10s | BR | Brazil | male | train |
52402 | 25 | 20s | US | United States | male | train |
21512 | 19 | 10s | PL | Poland | female | train |
28167 | 19 | 10s | NL | Netherlands | male | train |
8648 | 24 | 20s | US | United States | male | train |
61711 | 22 | 20s | UK | United Kingdom | female | train |
51120 | 21 | 20s | US | United States | male | train |
85739 | 14 | 10s | BR | Brazil | female | train |
19842 | 22 | 20s | DE | Germany | male | train |
52516 | 31 | 30s | JP | Japan | male | train |
38816 | 20 | 20s | BR | Brazil | female | train |
20128 | 24 | 20s | AU | Australia | male | train |
75428 | 17 | 10s | PL | Poland | female | train |
26114 | 27 | 20s | BR | Brazil | male | train |
19738 | 34 | 30s | RU | Russia | male | train |
67970 | 19 | 10s | US | United States | female | train |
12126 | 32 | 30s | UK | United Kingdom | male | train |
10957 | 28 | 20s | NL | Netherlands | male | train |
23889 | 26 | 20s | US | United States | male | train |
107766 | 15 | 10s | US | United States | male | train |
66502 | 15 | 10s | NL | Netherlands | male | train |
33065 | 17 | 10s | US | United States | female | train |
55899 | 22 | 20s | US | United States | male | train |
107500 | 18 | 10s | RU | Russia | female | train |
66069 | 23 | 20s | ES | Spain | male | train |
29451 | 25 | 20s | US | United States | female | train |
12192 | 26 | 20s | BY | Belarus | male | train |
22032 | 18 | 10s | IT | Italy | male | train |
33882 | 28 | 20s | US | United States | male | train |
112603 | 15 | 10s | PL | Poland | female | train |
59204 | 20 | 20s | BR | Brazil | male | train |
32274 | 19 | 10s | RU | Russia | male | train |
37211 | 21 | 20s | RU | Russia | male | train |
10106 | 42 | 40s | AR | Argentina | male | train |
18351 | 23 | 20s | UA | Ukraine | male | train |
48427 | 19 | 10s | DE | Germany | male | train |
35145 | 17 | 10s | BE | Belgium | female | train |
34384 | 25 | 20s | BY | Belarus | female | train |
14484 | 31 | 30s | AR | Argentina | male | train |
1769 | 25 | 20s | ES | Spain | male | train |
47727 | 19 | 10s | AU | Australia | male | train |
13671 | 25 | 20s | DE | Germany | female | train |
8953 | 26 | 20s | CA | Canada | male | train |
10760 | 20 | 20s | BR | Brazil | male | train |
53188 | 18 | 10s | US | United States | female | train |
5785 | 24 | 20s | NL | Netherlands | male | train |
107281 | 37 | 30s | DK | Denmark | male | train |
15631 | 21 | 20s | SK | Slovakia | male | train |
16770 | 34 | 30s | ES | Spain | female | train |
111340 | 22 | 20s | CL | Chile | female | train |
3361 | 22 | 20s | US | United States | male | train |
53623 | 17 | 10s | DE | Germany | male | train |
35931 | 48 | 40s | BR | Brazil | female | train |
28044 | 29 | 20s | PL | Poland | male | train |
648 | 24 | 20s | US | United States | male | train |
57671 | 26 | 20s | CA | Canada | male | train |
72410 | 20 | 20s | AU | Australia | male | train |
19665 | 18 | 10s | FI | Finland | male | train |
22422 | 29 | 20s | US | United States | male | train |
42876 | 24 | 20s | US | United States | female | train |
508 | 32 | 30s | US | United States | male | train |
67283 | 17 | 10s | UG | Uganda | female | train |
110879 | 27 | 20s | SE | Sweden | male | train |
8808 | 25 | 20s | VE | Venezuela | female | train |
34764 | 47 | 40s | DE | Germany | male | train |
10084 | 22 | 20s | US | United States | female | train |
37386 | 19 | 10s | BR | Brazil | female | train |
2708 | 22 | 20s | US | United States | male | train |
19655 | 30 | 30s | RU | Russia | male | train |
18619 | 20 | 20s | AU | Australia | male | train |
38060 | 42 | 40s | CA | Canada | male | train |
45524 | 21 | 20s | DE | Germany | female | train |
2603 | 34 | 30s | US | United States | male | train |
2703 | 32 | 30s | CL | Chile | male | train |
24935 | 23 | 20s | AU | Australia | male | train |
19525 | 23 | 20s | UA | Ukraine | female | train |
29269 | 23 | 20s | CA | Canada | male | train |
28819 | 19 | 10s | CC | Cocos Islands | female | train |
13378 | 20 | 20s | CL | Chile | male | train |
1229 | 38 | 30s | BR | Brazil | male | train |
45889 | 20 | 20s | US | United States | male | train |
61386 | 21 | 20s | ID | Indonesia | male | train |
110988 | 17 | 10s | MY | Malaysia | male | train |
27208 | 23 | 20s | DE | Germany | male | train |
15695 | 23 | 20s | CA | Canada | male | train |
89409 | 19 | 10s | BA | Bosnia and Herzegovina | female | train |
69355 | 27 | 20s | DE | Germany | male | train |
10208 | 20 | 20s | IT | Italy | male | train |
20164 | 24 | 20s | BR | Brazil | male | train |
20682 | 26 | 20s | BY | Belarus | male | train |
13607 | 26 | 20s | PR | Puerto Rico | male | train |
79627 | 22 | 20s | FR | France | male | train |
32747 | 29 | 20s | SV | El Salvador | male | train |
471 | 29 | 20s | SE | Sweden | male | train |
331 | 31 | 30s | UK | United Kingdom | male | train |
7239 | 29 | 20s | EE | Estonia | male | train |
24616 | 22 | 20s | UK | United Kingdom | male | train |
4758 | 27 | 20s | NO | Norway | male | train |
49064 | 24 | 20s | PL | Poland | female | train |
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