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 |
|---|---|---|---|---|---|---|
51669 | 22 | 20s | DE | Germany | female | train |
9465 | 22 | 20s | AE | United Arab Emirates | female | train |
69558 | 16 | 10s | UK | United Kingdom | male | train |
69636 | 27 | 20s | DE | Germany | male | train |
69137 | 18 | 10s | PL | Poland | male | train |
4111 | 23 | 20s | US | United States | male | train |
1376 | 25 | 20s | CA | Canada | female | train |
20813 | 23 | 20s | UK | United Kingdom | male | train |
64770 | 19 | 10s | ID | Indonesia | male | train |
1119 | 25 | 20s | US | United States | male | train |
46601 | 20 | 20s | PL | Poland | male | train |
38727 | 55 | 50s | UK | United Kingdom | male | train |
18538 | 25 | 20s | AQ | Antarctica | male | train |
16586 | 22 | 20s | UA | Ukraine | male | train |
28809 | 27 | 20s | SK | Slovakia | male | train |
21738 | 23 | 20s | CA | Canada | male | train |
2007 | 24 | 20s | US | United States | male | train |
4033 | 26 | 20s | UK | United Kingdom | male | train |
18207 | 20 | 20s | US | United States | male | train |
32527 | 29 | 20s | US | United States | male | train |
35561 | 26 | 20s | LV | Latvia | female | train |
116343 | 19 | 10s | BR | Brazil | male | train |
50938 | 16 | 10s | BR | Brazil | female | train |
69356 | 29 | 20s | US | United States | male | train |
18934 | 20 | 20s | SE | Sweden | female | train |
7501 | 26 | 20s | CH | Switzerland | male | train |
6330 | 24 | 20s | AU | Australia | male | train |
4809 | 26 | 20s | US | United States | female | train |
43249 | 20 | 20s | DE | Germany | male | train |
38166 | 20 | 20s | NO | Norway | male | train |
51439 | 22 | 20s | US | United States | male | train |
61392 | 20 | 20s | PL | Poland | female | train |
55078 | 22 | 20s | UA | Ukraine | male | train |
22519 | 24 | 20s | IN | India | male | train |
17745 | 27 | 20s | PL | Poland | male | train |
5896 | 35 | 30s | DE | Germany | male | train |
104901 | 18 | 10s | US | United States | male | train |
15737 | 32 | 30s | RU | Russia | female | train |
50906 | 22 | 20s | ID | Indonesia | female | train |
13706 | 28 | 20s | US | United States | male | train |
33557 | 19 | 10s | US | United States | male | train |
33918 | 19 | 10s | US | United States | female | train |
16092 | 25 | 20s | PL | Poland | female | train |
7302 | 28 | 20s | US | United States | male | train |
27239 | 24 | 20s | IT | Italy | male | train |
39562 | 18 | 10s | AU | Australia | male | train |
19205 | 25 | 20s | FI | Finland | female | train |
58175 | 20 | 20s | BG | Bulgaria | male | train |
4692 | 21 | 20s | US | United States | male | train |
19757 | 24 | 20s | BR | Brazil | male | train |
1267 | 25 | 20s | SE | Sweden | male | train |
12516 | 21 | 20s | PL | Poland | female | train |
53554 | 19 | 10s | DE | Germany | male | train |
12120 | 23 | 20s | US | United States | female | train |
8600 | 22 | 20s | US | United States | male | train |
20453 | 20 | 20s | PL | Poland | male | train |
17933 | 19 | 10s | PL | Poland | male | train |
55929 | 23 | 20s | UK | United Kingdom | male | train |
36838 | 21 | 20s | US | United States | female | train |
12594 | 28 | 20s | ZA | South Africa | male | train |
44061 | 18 | 10s | DE | Germany | male | train |
3909 | 24 | 20s | US | United States | male | train |
4253 | 27 | 20s | RU | Russia | female | train |
38410 | 20 | 20s | BR | Brazil | male | train |
37762 | 21 | 20s | RU | Russia | male | train |
7940 | 56 | 50s | UK | United Kingdom | male | train |
62750 | 30 | 30s | US | United States | male | train |
2961 | 35 | 30s | UK | United Kingdom | male | train |
33115 | 40 | 40s | US | United States | male | train |
46131 | 22 | 20s | RU | Russia | male | train |
9887 | 29 | 20s | BR | Brazil | male | train |
28283 | 18 | 10s | BA | Bosnia and Herzegovina | male | train |
1925 | 26 | 20s | US | United States | male | train |
17340 | 21 | 20s | US | United States | male | train |
6557 | 23 | 20s | NL | Netherlands | male | train |
22989 | 34 | 30s | MX | Mexico | male | train |
48185 | 21 | 20s | BR | Brazil | male | train |
15921 | 21 | 20s | BG | Bulgaria | male | train |
25049 | 22 | 20s | AU | Australia | male | train |
7548 | 24 | 20s | US | United States | male | train |
1506 | 27 | 20s | FI | Finland | male | train |
30339 | 20 | 20s | NO | Norway | female | train |
23954 | 20 | 20s | RU | Russia | male | train |
64180 | 16 | 10s | CA | Canada | male | train |
1283 | 24 | 20s | AT | Austria | male | train |
58453 | 20 | 20s | NL | Netherlands | male | train |
40424 | 21 | 20s | PL | Poland | female | train |
26941 | 23 | 20s | US | United States | male | train |
103091 | 27 | 20s | DE | Germany | male | train |
41392 | 18 | 10s | US | United States | female | train |
69870 | 27 | 20s | US | United States | male | train |
3910 | 27 | 20s | US | United States | male | train |
1239 | 44 | 40s | US | United States | male | train |
113133 | 24 | 20s | IT | Italy | female | train |
38280 | 18 | 10s | RU | Russia | female | train |
99597 | 19 | 10s | MG | Madagascar | male | train |
15375 | 18 | 10s | DE | Germany | female | train |
2714 | 33 | 30s | NL | Netherlands | male | train |
25901 | 17 | 10s | BR | Brazil | female | train |
9010 | 21 | 20s | BR | Brazil | male | train |
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