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 |
|---|---|---|---|---|---|---|
14405 | 38 | 30s | US | United States | male | train |
25211 | 24 | 20s | BR | Brazil | female | train |
88830 | 20 | 20s | BR | Brazil | male | train |
3832 | 26 | 20s | US | United States | male | train |
63883 | 16 | 10s | PL | Poland | male | train |
50470 | 32 | 30s | CL | Chile | male | train |
32724 | 20 | 20s | UK | United Kingdom | female | train |
39252 | 24 | 20s | BR | Brazil | male | train |
57881 | 28 | 20s | DE | Germany | male | train |
19141 | 22 | 20s | BR | Brazil | male | train |
52745 | 19 | 10s | RU | Russia | male | train |
19939 | 21 | 20s | UK | United Kingdom | male | train |
5272 | 28 | 20s | US | United States | female | train |
48170 | 31 | 30s | PH | Philippines | male | train |
70065 | 21 | 20s | UK | United Kingdom | male | train |
48787 | 16 | 10s | PL | Poland | female | train |
32917 | 19 | 10s | DE | Germany | female | train |
38866 | 21 | 20s | RU | Russia | male | train |
15887 | 30 | 30s | MX | Mexico | male | train |
19182 | 22 | 20s | UK | United Kingdom | male | train |
43090 | 22 | 20s | IT | Italy | female | train |
17316 | 22 | 20s | BR | Brazil | male | train |
27778 | 19 | 10s | BR | Brazil | female | train |
68083 | 18 | 10s | UK | United Kingdom | male | train |
49144 | 18 | 10s | BR | Brazil | male | train |
83461 | 20 | 20s | JP | Japan | male | train |
37731 | 20 | 20s | PL | Poland | male | train |
8424 | 30 | 30s | IE | Ireland | female | train |
52551 | 21 | 20s | US | United States | female | train |
21822 | 23 | 20s | US | United States | male | train |
55684 | 15 | 10s | BR | Brazil | male | train |
28271 | 21 | 20s | BR | Brazil | male | train |
41493 | 26 | 20s | DE | Germany | male | train |
16720 | 17 | 10s | PL | Poland | female | train |
30054 | 18 | 10s | BR | Brazil | male | train |
19736 | 29 | 20s | DE | Germany | male | train |
9717 | 27 | 20s | BR | Brazil | female | train |
22007 | 46 | 40s | BR | Brazil | male | train |
6164 | 21 | 20s | US | United States | female | train |
21001 | 19 | 10s | PL | Poland | male | train |
50937 | 21 | 20s | BR | Brazil | female | train |
67382 | 17 | 10s | BR | Brazil | male | train |
32472 | 40 | 40s | CH | Switzerland | male | train |
3201 | 28 | 20s | ES | Spain | male | train |
51835 | 18 | 10s | RU | Russia | female | train |
51429 | 21 | 20s | PL | Poland | male | train |
14273 | 21 | 20s | PL | Poland | male | train |
7195 | 22 | 20s | PL | Poland | female | train |
55090 | 23 | 20s | NL | Netherlands | female | train |
13550 | 48 | 40s | AU | Australia | male | train |
14742 | 41 | 40s | DE | Germany | male | train |
317 | 26 | 20s | AU | Australia | male | train |
241 | 24 | 20s | UK | United Kingdom | male | train |
11518 | 22 | 20s | RU | Russia | male | train |
19528 | 21 | 20s | PL | Poland | female | train |
35539 | 22 | 20s | US | United States | male | train |
3393 | 34 | 30s | US | United States | male | train |
72583 | 23 | 20s | BR | Brazil | female | train |
57323 | 19 | 10s | UK | United Kingdom | male | train |
62865 | 20 | 20s | FI | Finland | male | train |
49761 | 18 | 10s | BR | Brazil | male | train |
67680 | 21 | 20s | UK | United Kingdom | male | train |
78576 | 25 | 20s | JP | Japan | male | train |
31488 | 22 | 20s | BR | Brazil | male | train |
16063 | 33 | 30s | VE | Venezuela | female | train |
4383 | 24 | 20s | US | United States | male | train |
2466 | 22 | 20s | SE | Sweden | male | train |
17931 | 48 | 40s | NL | Netherlands | male | train |
11982 | 20 | 20s | CA | Canada | male | train |
7513 | 31 | 30s | NO | Norway | female | train |
1547 | 22 | 20s | US | United States | female | train |
16626 | 24 | 20s | NL | Netherlands | male | train |
40028 | 19 | 10s | ID | Indonesia | male | train |
3172 | 25 | 20s | RU | Russia | male | train |
21758 | 20 | 20s | UK | United Kingdom | male | train |
21446 | 31 | 30s | BG | Bulgaria | male | train |
49199 | 22 | 20s | NL | Netherlands | male | train |
15536 | 27 | 20s | IE | Ireland | male | train |
14167 | 39 | 30s | US | United States | male | train |
10480 | 29 | 20s | US | United States | male | train |
364 | 30 | 30s | FI | Finland | male | train |
109057 | 14 | 10s | BR | Brazil | female | train |
24292 | 24 | 20s | HR | Croatia | female | train |
91216 | 41 | 40s | FR | France | male | train |
33066 | 21 | 20s | RU | Russia | female | train |
5610 | 25 | 20s | SI | Slovenia | male | train |
27706 | 21 | 20s | US | United States | female | train |
7994 | 25 | 20s | PL | Poland | female | train |
3923 | 26 | 20s | US | United States | male | train |
74857 | 24 | 20s | DE | Germany | male | train |
4134 | 26 | 20s | UK | United Kingdom | male | train |
42045 | 23 | 20s | PL | Poland | male | train |
65193 | 20 | 20s | AR | Argentina | male | train |
47929 | 18 | 10s | CO | Colombia | female | train |
15834 | 25 | 20s | UA | Ukraine | male | train |
36418 | 20 | 20s | RU | Russia | male | train |
28489 | 22 | 20s | US | United States | female | train |
12889 | 24 | 20s | CO | Colombia | female | train |
32597 | 17 | 10s | PL | Poland | male | train |
30895 | 25 | 20s | NL | Netherlands | male | train |
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