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 |
|---|---|---|---|---|---|---|
4308 | 28 | 20s | DE | Germany | male | train |
348 | 27 | 20s | CA | Canada | male | train |
24859 | 28 | 20s | DE | Germany | male | train |
69264 | 15 | 10s | PL | Poland | female | train |
18943 | 23 | 20s | IT | Italy | female | train |
61693 | 23 | 20s | US | United States | male | train |
45947 | 23 | 20s | ES | Spain | male | train |
57103 | 20 | 20s | BY | Belarus | male | train |
12772 | 26 | 20s | US | United States | female | train |
28483 | 20 | 20s | RU | Russia | female | train |
14849 | 27 | 20s | AT | Austria | female | train |
33691 | 24 | 20s | PL | Poland | male | train |
33878 | 21 | 20s | UA | Ukraine | male | train |
35110 | 18 | 10s | FI | Finland | male | train |
99550 | 51 | 50s | FI | Finland | male | train |
24824 | 22 | 20s | US | United States | male | train |
2199 | 27 | 20s | US | United States | male | train |
41263 | 19 | 10s | US | United States | male | train |
100936 | 20 | 20s | BR | Brazil | male | train |
52450 | 18 | 10s | PL | Poland | male | train |
23737 | 26 | 20s | NO | Norway | male | train |
12423 | 22 | 20s | SE | Sweden | male | train |
24903 | 23 | 20s | AU | Australia | female | train |
74038 | 17 | 10s | SK | Slovakia | female | train |
37658 | 21 | 20s | DE | Germany | male | train |
10935 | 22 | 20s | PL | Poland | male | train |
102956 | 23 | 20s | DE | Germany | male | train |
47197 | 18 | 10s | PL | Poland | male | train |
61247 | 21 | 20s | US | United States | female | train |
8302 | 33 | 30s | FR | France | male | train |
39327 | 21 | 20s | PL | Poland | female | train |
68324 | 38 | 30s | IE | Ireland | male | train |
1939 | 31 | 30s | US | United States | male | train |
10663 | 47 | 40s | CH | Switzerland | male | train |
13531 | 24 | 20s | US | United States | male | train |
49714 | 21 | 20s | ID | Indonesia | male | train |
8256 | 27 | 20s | BR | Brazil | male | train |
19008 | 21 | 20s | FI | Finland | male | train |
99046 | 20 | 20s | BR | Brazil | female | train |
7036 | 27 | 20s | ES | Spain | male | train |
68714 | 22 | 20s | IT | Italy | male | train |
20867 | 43 | 40s | CL | Chile | male | train |
29074 | 19 | 10s | AU | Australia | male | train |
17525 | 26 | 20s | IT | Italy | male | train |
43770 | 24 | 20s | EE | Estonia | male | train |
38418 | 20 | 20s | AU | Australia | female | train |
47362 | 20 | 20s | PL | Poland | male | train |
36349 | 20 | 20s | US | United States | female | train |
76744 | 19 | 10s | AU | Australia | male | train |
5798 | 27 | 20s | NL | Netherlands | male | train |
51893 | 20 | 20s | BR | Brazil | male | train |
74961 | 16 | 10s | BR | Brazil | male | train |
11180 | 27 | 20s | LV | Latvia | female | train |
30359 | 20 | 20s | DE | Germany | female | train |
49895 | 20 | 20s | RS | Serbia | male | train |
105618 | 26 | 20s | DE | Germany | male | train |
59737 | 18 | 10s | MK | North Macedonia | female | train |
44799 | 27 | 20s | PL | Poland | female | train |
28277 | 24 | 20s | US | United States | male | train |
107598 | 15 | 10s | BR | Brazil | female | train |
16543 | 30 | 30s | UK | United Kingdom | male | train |
1692 | 31 | 30s | US | United States | male | train |
30523 | 17 | 10s | BR | Brazil | male | train |
25586 | 22 | 20s | US | United States | female | train |
100099 | 21 | 20s | US | United States | male | train |
74659 | 19 | 10s | AR | Argentina | male | train |
7080 | 32 | 30s | FI | Finland | male | train |
26484 | 27 | 20s | US | United States | male | train |
83569 | 19 | 10s | CA | Canada | male | train |
10409 | 37 | 30s | CA | Canada | male | train |
50234 | 20 | 20s | MX | Mexico | female | train |
29576 | 48 | 40s | IT | Italy | male | train |
60656 | 20 | 20s | PL | Poland | female | train |
59141 | 22 | 20s | US | United States | female | train |
53327 | 21 | 20s | RU | Russia | male | train |
47229 | 17 | 10s | DE | Germany | female | train |
35001 | 20 | 20s | NL | Netherlands | male | train |
62365 | 16 | 10s | BR | Brazil | female | train |
1924 | 22 | 20s | CA | Canada | male | train |
5910 | 20 | 20s | US | United States | male | train |
48933 | 25 | 20s | BG | Bulgaria | male | train |
44088 | 18 | 10s | CZ | Czech Republic | female | train |
16866 | 21 | 20s | UK | United Kingdom | male | train |
45117 | 24 | 20s | PH | Philippines | male | train |
77710 | 16 | 10s | BY | Belarus | female | train |
68061 | 19 | 10s | RU | Russia | male | train |
105938 | 45 | 40s | US | United States | male | train |
14891 | 29 | 20s | US | United States | male | train |
8477 | 28 | 20s | IT | Italy | male | train |
2490 | 21 | 20s | UK | United Kingdom | female | train |
25442 | 24 | 20s | UK | United Kingdom | male | train |
51295 | 32 | 30s | IE | Ireland | male | train |
22352 | 42 | 40s | US | United States | female | train |
33711 | 24 | 20s | DE | Germany | male | train |
46885 | 23 | 20s | DE | Germany | male | train |
9716 | 22 | 20s | UK | United Kingdom | male | train |
92644 | 50 | 50s | SE | Sweden | female | train |
7319 | 24 | 20s | US | United States | male | train |
82737 | 26 | 20s | US | United States | female | train |
9576 | 38 | 30s | US | United States | male | train |
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