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 |
|---|---|---|---|---|---|---|
59372 | 25 | 20s | PT | Portugal | male | train |
47555 | 20 | 20s | PL | Poland | female | train |
16251 | 20 | 20s | GI | Gibraltar | male | train |
13186 | 30 | 30s | FR | France | male | train |
36342 | 25 | 20s | UA | Ukraine | female | train |
10461 | 24 | 20s | PL | Poland | male | train |
88720 | 39 | 30s | UK | United Kingdom | male | train |
54775 | 23 | 20s | ID | Indonesia | male | train |
1844 | 24 | 20s | US | United States | male | train |
108459 | 26 | 20s | US | United States | female | train |
81196 | 26 | 20s | DE | Germany | male | train |
27834 | 32 | 30s | UK | United Kingdom | male | train |
28236 | 23 | 20s | PL | Poland | male | train |
6879 | 25 | 20s | DE | Germany | male | train |
19895 | 39 | 30s | UK | United Kingdom | male | train |
78630 | 18 | 10s | DE | Germany | male | train |
3870 | 23 | 20s | US | United States | male | train |
15186 | 23 | 20s | US | United States | female | train |
3453 | 30 | 30s | NO | Norway | male | train |
28668 | 6 | 10s | PL | Poland | male | train |
15932 | 28 | 20s | BR | Brazil | male | train |
6748 | 25 | 20s | RU | Russia | male | train |
64037 | 20 | 20s | UK | United Kingdom | female | train |
100810 | 22 | 20s | UK | United Kingdom | male | train |
8181 | 28 | 20s | UK | United Kingdom | male | train |
58839 | 26 | 20s | FR | France | female | train |
23120 | 32 | 30s | PL | Poland | male | train |
22217 | 27 | 20s | DE | Germany | male | train |
6817 | 21 | 20s | US | United States | female | train |
30224 | 22 | 20s | US | United States | male | train |
62530 | 44 | 40s | ES | Spain | male | train |
15672 | 24 | 20s | NL | Netherlands | female | train |
37741 | 29 | 20s | SE | Sweden | male | train |
7794 | 24 | 20s | PL | Poland | male | train |
39802 | 18 | 10s | BR | Brazil | male | train |
31286 | 21 | 20s | CA | Canada | male | train |
7991 | 33 | 30s | UK | United Kingdom | female | train |
60173 | 17 | 10s | UK | United Kingdom | male | train |
69199 | 16 | 10s | BR | Brazil | male | train |
50202 | 20 | 20s | UA | Ukraine | male | train |
13063 | 22 | 20s | UK | United Kingdom | male | train |
17442 | 19 | 10s | DE | Germany | male | train |
45978 | 18 | 10s | ID | Indonesia | male | train |
13203 | 31 | 30s | BY | Belarus | male | train |
53351 | 19 | 10s | US | United States | female | train |
7746 | 30 | 30s | MX | Mexico | female | train |
23023 | 20 | 20s | US | United States | female | train |
55727 | 22 | 20s | US | United States | female | train |
27263 | 28 | 20s | EC | Ecuador | male | train |
3116 | 28 | 20s | US | United States | female | train |
39791 | 28 | 20s | PL | Poland | male | train |
23121 | 21 | 20s | NZ | New Zealand | male | train |
278 | 25 | 20s | SE | Sweden | male | train |
61037 | 19 | 10s | BR | Brazil | male | train |
48092 | 25 | 20s | DE | Germany | male | train |
48301 | 21 | 20s | RU | Russia | male | train |
12697 | 42 | 40s | AU | Australia | male | train |
82510 | 18 | 10s | MX | Mexico | male | train |
76601 | 19 | 10s | CA | Canada | male | train |
26004 | 19 | 10s | PL | Poland | female | train |
76031 | 22 | 20s | MX | Mexico | male | train |
34551 | 20 | 20s | DE | Germany | male | train |
7100 | 30 | 30s | AU | Australia | male | train |
2464 | 25 | 20s | ZA | South Africa | male | train |
144 | 30 | 30s | US | United States | male | train |
44824 | 27 | 20s | ID | Indonesia | male | train |
15840 | 24 | 20s | SE | Sweden | female | train |
9111 | 24 | 20s | PL | Poland | female | train |
52033 | 29 | 20s | DE | Germany | male | train |
88903 | 23 | 20s | UK | United Kingdom | male | train |
11449 | 25 | 20s | CZ | Czech Republic | male | train |
7607 | 29 | 20s | AQ | Antarctica | female | train |
2860 | 22 | 20s | UK | United Kingdom | female | train |
35793 | 20 | 20s | NL | Netherlands | male | train |
26145 | 24 | 20s | NO | Norway | male | train |
4220 | 27 | 20s | FI | Finland | male | train |
32606 | 23 | 20s | RU | Russia | male | train |
23667 | 23 | 20s | PL | Poland | male | train |
30581 | 22 | 20s | RU | Russia | male | train |
28272 | 21 | 20s | UK | United Kingdom | male | train |
3731 | 34 | 30s | US | United States | male | train |
25385 | 26 | 20s | TR | Turkey | female | train |
14949 | 24 | 20s | PL | Poland | male | train |
22852 | 22 | 20s | PL | Poland | female | train |
55687 | 19 | 10s | UA | Ukraine | male | train |
27138 | 25 | 20s | FI | Finland | male | train |
626 | 25 | 20s | US | United States | male | train |
25465 | 29 | 20s | BR | Brazil | male | train |
6266 | 20 | 20s | US | United States | female | train |
24270 | 23 | 20s | BR | Brazil | male | train |
74314 | 18 | 10s | BR | Brazil | male | train |
1776 | 26 | 20s | US | United States | male | train |
29632 | 19 | 10s | PL | Poland | female | train |
11633 | 31 | 30s | CH | Switzerland | male | train |
1795 | 31 | 30s | FR | France | male | train |
8060 | 27 | 20s | NO | Norway | male | train |
5919 | 32 | 30s | AU | Australia | male | train |
104267 | 23 | 20s | US | United States | male | train |
21201 | 21 | 20s | UK | United Kingdom | male | train |
6416 | 21 | 20s | PL | Poland | male | train |
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