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 |
|---|---|---|---|---|---|---|
42110 | 24 | 20s | NL | Netherlands | male | train |
32276 | 22 | 20s | PL | Poland | male | train |
11669 | 25 | 20s | US | United States | male | train |
6308 | 24 | 20s | UK | United Kingdom | male | train |
12262 | 33 | 30s | UK | United Kingdom | male | train |
14981 | 26 | 20s | RU | Russia | male | train |
45303 | 24 | 20s | US | United States | male | train |
6135 | 31 | 30s | AU | Australia | male | train |
13951 | 21 | 20s | US | United States | female | train |
38862 | 17 | 10s | FR | France | male | train |
60114 | 24 | 20s | IT | Italy | male | train |
70601 | 20 | 20s | US | United States | female | train |
73087 | 16 | 10s | BR | Brazil | female | train |
41863 | 21 | 20s | US | United States | male | train |
54504 | 21 | 20s | UK | United Kingdom | male | train |
4496 | 35 | 30s | FI | Finland | male | train |
18280 | 22 | 20s | UK | United Kingdom | male | train |
91316 | 18 | 10s | RU | Russia | male | train |
33336 | 22 | 20s | UA | Ukraine | male | train |
32504 | 23 | 20s | CO | Colombia | male | train |
13696 | 20 | 20s | BR | Brazil | female | train |
26902 | 20 | 20s | KZ | Kazakhstan | male | train |
27900 | 18 | 10s | UA | Ukraine | female | train |
43647 | 28 | 20s | US | United States | male | train |
107959 | 38 | 30s | FR | France | male | train |
91704 | 21 | 20s | UA | Ukraine | male | train |
5306 | 57 | 50s | UK | United Kingdom | male | train |
12920 | 25 | 20s | FI | Finland | male | train |
57651 | 24 | 20s | PL | Poland | female | train |
33845 | 30 | 30s | UK | United Kingdom | male | train |
28204 | 22 | 20s | NL | Netherlands | male | train |
28024 | 20 | 20s | PL | Poland | male | train |
51804 | 23 | 20s | BR | Brazil | male | train |
18582 | 21 | 20s | HR | Croatia | male | train |
7499 | 23 | 20s | US | United States | male | train |
43908 | 16 | 10s | DE | Germany | male | train |
62219 | 16 | 10s | UK | United Kingdom | female | train |
69940 | 18 | 10s | BR | Brazil | male | train |
17076 | 21 | 20s | SE | Sweden | female | train |
38110 | 22 | 20s | US | United States | male | train |
8263 | 25 | 20s | SE | Sweden | female | train |
34707 | 22 | 20s | DE | Germany | male | train |
18460 | 22 | 20s | IT | Italy | female | train |
43665 | 21 | 20s | BR | Brazil | male | train |
38732 | 25 | 20s | BR | Brazil | female | train |
11053 | 20 | 20s | PL | Poland | male | train |
10403 | 30 | 30s | US | United States | male | train |
44901 | 21 | 20s | UK | United Kingdom | female | train |
16374 | 19 | 10s | FI | Finland | female | train |
23030 | 22 | 20s | MX | Mexico | male | train |
70109 | 19 | 10s | US | United States | male | train |
2424 | 29 | 20s | UK | United Kingdom | male | train |
53008 | 22 | 20s | CO | Colombia | female | train |
14025 | 20 | 20s | BR | Brazil | female | train |
19221 | 25 | 20s | PL | Poland | male | train |
22547 | 22 | 20s | BR | Brazil | female | train |
9035 | 21 | 20s | PL | Poland | male | train |
13586 | 21 | 20s | NO | Norway | male | train |
41991 | 22 | 20s | KZ | Kazakhstan | male | train |
2985 | 57 | 50s | UK | United Kingdom | male | train |
14212 | 28 | 20s | BR | Brazil | female | train |
14621 | 20 | 20s | PL | Poland | male | train |
37290 | 45 | 40s | US | United States | male | train |
43213 | 23 | 20s | RU | Russia | female | train |
42335 | 23 | 20s | CL | Chile | male | train |
67645 | 18 | 10s | PL | Poland | male | train |
25206 | 34 | 30s | AU | Australia | male | train |
168 | 27 | 20s | NL | Netherlands | male | train |
17696 | 21 | 20s | US | United States | female | train |
25854 | 35 | 30s | DE | Germany | male | train |
23666 | 24 | 20s | US | United States | male | train |
52436 | 21 | 20s | BR | Brazil | male | train |
5925 | 26 | 20s | UK | United Kingdom | male | train |
14829 | 24 | 20s | US | United States | male | train |
28987 | 23 | 20s | RS | Serbia | male | train |
42288 | 21 | 20s | US | United States | male | train |
55538 | 25 | 20s | PL | Poland | male | train |
20645 | 23 | 20s | US | United States | male | train |
240 | 24 | 20s | US | United States | male | train |
3014 | 23 | 20s | FI | Finland | male | train |
4306 | 35 | 30s | NO | Norway | female | train |
11591 | 21 | 20s | UK | United Kingdom | female | train |
82337 | 22 | 20s | SE | Sweden | male | train |
14146 | 23 | 20s | BG | Bulgaria | female | train |
23845 | 29 | 20s | US | United States | male | train |
6551 | 22 | 20s | BR | Brazil | female | train |
76132 | 27 | 20s | BR | Brazil | male | train |
18190 | 22 | 20s | MX | Mexico | female | train |
70002 | 25 | 20s | RU | Russia | female | train |
57330 | 14 | 10s | FI | Finland | male | train |
39656 | 18 | 10s | PL | Poland | male | train |
24470 | 30 | 30s | IT | Italy | male | train |
29983 | 18 | 10s | PL | Poland | male | train |
51613 | 20 | 20s | TR | Turkey | female | train |
28642 | 22 | 20s | NL | Netherlands | male | train |
11981 | 24 | 20s | UK | United Kingdom | male | train |
71018 | 24 | 20s | MX | Mexico | male | train |
29385 | 22 | 20s | RU | Russia | male | train |
7464 | 40 | 40s | US | United States | male | train |
107990 | 18 | 10s | BR | Brazil | female | train |
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