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 |
|---|---|---|---|---|---|---|
9623 | 22 | 20s | FI | Finland | male | train |
81016 | 21 | 20s | UA | Ukraine | male | train |
73137 | 17 | 10s | CL | Chile | male | train |
59625 | 17 | 10s | ID | Indonesia | male | train |
48928 | 22 | 20s | CL | Chile | female | train |
50879 | 18 | 10s | BR | Brazil | female | train |
9099 | 30 | 30s | US | United States | female | train |
29496 | 31 | 30s | UK | United Kingdom | male | train |
1656 | 25 | 20s | CO | Colombia | male | train |
5036 | 32 | 30s | NL | Netherlands | male | train |
49330 | 18 | 10s | NZ | New Zealand | male | train |
7245 | 23 | 20s | FI | Finland | male | train |
39323 | 21 | 20s | BR | Brazil | male | train |
3596 | 26 | 20s | SE | Sweden | male | train |
8095 | 21 | 20s | DE | Germany | female | train |
57433 | 19 | 10s | BR | Brazil | male | train |
10571 | 26 | 20s | BR | Brazil | male | train |
39771 | 18 | 10s | PL | Poland | male | train |
93765 | 13 | 10s | PH | Philippines | female | train |
2694 | 33 | 30s | FI | Finland | male | train |
9434 | 21 | 20s | UK | United Kingdom | male | train |
13009 | 30 | 30s | AL | Albania | male | train |
10091 | 22 | 20s | PL | Poland | male | train |
53388 | 19 | 10s | ID | Indonesia | male | train |
49081 | 21 | 20s | RU | Russia | male | train |
35085 | 20 | 20s | US | United States | male | train |
54637 | 19 | 10s | PL | Poland | male | train |
45653 | 17 | 10s | UK | United Kingdom | male | train |
48945 | 21 | 20s | NL | Netherlands | male | train |
36127 | 17 | 10s | HR | Croatia | female | train |
61010 | 23 | 20s | US | United States | female | train |
62870 | 17 | 10s | BR | Brazil | male | train |
26283 | 22 | 20s | PL | Poland | male | train |
12277 | 24 | 20s | PL | Poland | male | train |
26761 | 22 | 20s | RS | Serbia | male | train |
30654 | 18 | 10s | BA | Bosnia and Herzegovina | female | train |
2739 | 22 | 20s | US | United States | male | train |
98125 | 40 | 40s | UK | United Kingdom | male | train |
38775 | 24 | 20s | RU | Russia | female | train |
52706 | 20 | 20s | BR | Brazil | male | train |
14489 | 22 | 20s | SE | Sweden | male | train |
28571 | 22 | 20s | BY | Belarus | male | train |
75431 | 20 | 20s | PL | Poland | male | train |
39080 | 23 | 20s | US | United States | male | train |
23112 | 22 | 20s | US | United States | male | train |
30623 | 26 | 20s | HU | Hungary | male | train |
3647 | 30 | 30s | NL | Netherlands | male | train |
29143 | 25 | 20s | DK | Denmark | male | train |
66926 | 17 | 10s | RU | Russia | male | train |
5917 | 23 | 20s | BR | Brazil | male | train |
75509 | 21 | 20s | LT | Lithuania | male | train |
16100 | 23 | 20s | FI | Finland | female | train |
28174 | 19 | 10s | PL | Poland | female | train |
23385 | 24 | 20s | BR | Brazil | male | train |
36471 | 18 | 10s | ES | Spain | female | train |
46297 | 18 | 10s | RU | Russia | female | train |
23456 | 33 | 30s | AU | Australia | male | train |
32618 | 23 | 20s | PL | Poland | male | train |
25260 | 18 | 10s | LT | Lithuania | female | train |
5782 | 45 | 40s | CZ | Czech Republic | male | train |
27635 | 22 | 20s | CZ | Czech Republic | female | train |
1909 | 28 | 20s | UK | United Kingdom | male | train |
30538 | 18 | 10s | DE | Germany | male | train |
19006 | 21 | 20s | CZ | Czech Republic | male | train |
37594 | 20 | 20s | NO | Norway | male | train |
31082 | 24 | 20s | US | United States | female | train |
25369 | 19 | 10s | PL | Poland | male | train |
51434 | 21 | 20s | US | United States | female | train |
53438 | 21 | 20s | BR | Brazil | male | train |
19768 | 19 | 10s | PL | Poland | male | train |
75137 | 15 | 10s | NZ | New Zealand | male | train |
3852 | 27 | 20s | EE | Estonia | male | train |
616 | 26 | 20s | NO | Norway | male | train |
41988 | 18 | 10s | DE | Germany | male | train |
9899 | 28 | 20s | US | United States | male | train |
47862 | 26 | 20s | US | United States | female | train |
6868 | 44 | 40s | AU | Australia | male | train |
36246 | 24 | 20s | PH | Philippines | female | train |
35943 | 35 | 30s | PL | Poland | male | train |
92597 | 26 | 20s | US | United States | male | train |
97799 | 20 | 20s | BR | Brazil | male | train |
22060 | 23 | 20s | SE | Sweden | male | train |
37665 | 21 | 20s | US | United States | female | train |
63109 | 26 | 20s | UA | Ukraine | male | train |
20064 | 25 | 20s | UA | Ukraine | male | train |
52384 | 21 | 20s | CZ | Czech Republic | male | train |
43326 | 21 | 20s | BR | Brazil | male | train |
49033 | 23 | 20s | UA | Ukraine | male | train |
31038 | 30 | 30s | SI | Slovenia | male | train |
5315 | 27 | 20s | DE | Germany | male | train |
10522 | 23 | 20s | LT | Lithuania | male | train |
6806 | 22 | 20s | CA | Canada | female | train |
60072 | 22 | 20s | CL | Chile | female | train |
83546 | 22 | 20s | FR | France | male | train |
5462 | 24 | 20s | ES | Spain | male | train |
2383 | 36 | 30s | FI | Finland | male | train |
27753 | 23 | 20s | MD | Moldova | male | train |
57456 | 20 | 20s | US | United States | female | train |
69342 | 22 | 20s | RU | Russia | male | train |
18103 | 31 | 30s | ES | Spain | male | train |
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