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 |
|---|---|---|---|---|---|---|
18547 | 23 | 20s | LT | Lithuania | female | train |
9130 | 28 | 20s | UK | United Kingdom | male | train |
36580 | 19 | 10s | FI | Finland | female | train |
91228 | 34 | 30s | NL | Netherlands | male | train |
21093 | 31 | 30s | US | United States | male | train |
76451 | 21 | 20s | CH | Switzerland | male | train |
28210 | 24 | 20s | CL | Chile | female | train |
3927 | 23 | 20s | DE | Germany | male | train |
12109 | 23 | 20s | US | United States | male | train |
7670 | 31 | 30s | AU | Australia | male | train |
21343 | 24 | 20s | US | United States | female | train |
41989 | 32 | 30s | FR | France | male | train |
11757 | 20 | 20s | NL | Netherlands | male | train |
20109 | 30 | 30s | RU | Russia | male | train |
12251 | 27 | 20s | UK | United Kingdom | female | train |
4535 | 24 | 20s | PL | Poland | male | train |
2178 | 25 | 20s | UK | United Kingdom | male | train |
29183 | 24 | 20s | BR | Brazil | male | train |
29297 | 19 | 10s | SK | Slovakia | female | train |
41900 | 19 | 10s | BR | Brazil | male | train |
1604 | 28 | 20s | ES | Spain | male | train |
28183 | 19 | 10s | DE | Germany | female | train |
57883 | 19 | 10s | US | United States | male | train |
12769 | 19 | 10s | AU | Australia | male | train |
8362 | 21 | 20s | ZA | South Africa | male | train |
40897 | 29 | 20s | UK | United Kingdom | male | train |
14425 | 19 | 10s | AU | Australia | male | train |
3313 | 33 | 30s | RU | Russia | male | train |
49970 | 23 | 20s | US | United States | male | train |
15920 | 30 | 30s | CA | Canada | male | train |
12331 | 32 | 30s | IT | Italy | male | train |
50268 | 22 | 20s | PL | Poland | female | train |
29381 | 31 | 30s | CO | Colombia | female | train |
5926 | 25 | 20s | NL | Netherlands | male | train |
5943 | 35 | 30s | PL | Poland | male | train |
18677 | 24 | 20s | SK | Slovakia | male | train |
36452 | 21 | 20s | CN | China | male | train |
23022 | 22 | 20s | DE | Germany | male | train |
37652 | 22 | 20s | PL | Poland | female | train |
17975 | 23 | 20s | UK | United Kingdom | male | train |
5854 | 20 | 20s | NO | Norway | male | train |
61778 | 18 | 10s | HR | Croatia | male | train |
24509 | 22 | 20s | FI | Finland | male | train |
56920 | 16 | 10s | IE | Ireland | female | train |
77162 | 19 | 10s | ID | Indonesia | male | train |
63676 | 21 | 20s | US | United States | male | train |
14314 | 19 | 10s | SE | Sweden | male | train |
6410 | 24 | 20s | AR | Argentina | male | train |
19464 | 25 | 20s | RU | Russia | male | train |
51167 | 24 | 20s | ID | Indonesia | male | train |
7734 | 34 | 30s | FR | France | male | train |
22099 | 18 | 10s | UA | Ukraine | male | train |
50263 | 19 | 10s | US | United States | male | train |
44583 | 17 | 10s | PL | Poland | male | train |
6188 | 19 | 10s | UK | United Kingdom | female | train |
27374 | 23 | 20s | PL | Poland | male | train |
67154 | 25 | 20s | US | United States | female | train |
253 | 23 | 20s | US | United States | female | train |
19386 | 22 | 20s | RU | Russia | male | train |
20186 | 47 | 40s | IT | Italy | male | train |
50094 | 22 | 20s | CV | Cape Verde | male | train |
18558 | 38 | 30s | TR | Turkey | male | train |
73538 | 22 | 20s | NP | Nepal | male | train |
3630 | 27 | 20s | PH | Philippines | female | train |
1979 | 22 | 20s | MX | Mexico | male | train |
24759 | 18 | 10s | PL | Poland | male | train |
13037 | 29 | 20s | DE | Germany | male | train |
24895 | 19 | 10s | PL | Poland | female | train |
84098 | 21 | 20s | OM | Oman | male | train |
115124 | 39 | 30s | US | United States | male | train |
25095 | 24 | 20s | UK | United Kingdom | male | train |
6936 | 21 | 20s | NL | Netherlands | male | train |
53360 | 34 | 30s | AR | Argentina | female | train |
59006 | 20 | 20s | BR | Brazil | male | train |
51064 | 26 | 20s | NO | Norway | male | train |
6473 | 23 | 20s | SE | Sweden | male | train |
36497 | 19 | 10s | NL | Netherlands | male | train |
34726 | 18 | 10s | US | United States | male | train |
30546 | 22 | 20s | FI | Finland | female | train |
109905 | 16 | 10s | BR | Brazil | male | train |
89558 | 22 | 20s | RU | Russia | male | train |
50842 | 21 | 20s | US | United States | female | train |
31701 | 22 | 20s | BR | Brazil | male | train |
33968 | 48 | 40s | DE | Germany | male | train |
4837 | 23 | 20s | US | United States | female | train |
68160 | 17 | 10s | BR | Brazil | male | train |
2793 | 21 | 20s | BR | Brazil | male | train |
2950 | 22 | 20s | AU | Australia | male | train |
11940 | 22 | 20s | BR | Brazil | male | train |
46166 | 25 | 20s | BR | Brazil | male | train |
813 | 43 | 40s | US | United States | male | train |
40155 | 18 | 10s | PL | Poland | male | train |
14862 | 26 | 20s | DE | Germany | female | train |
35338 | 20 | 20s | US | United States | male | train |
24302 | 25 | 20s | ES | Spain | male | train |
39943 | 19 | 10s | CZ | Czech Republic | female | train |
99199 | 19 | 10s | BR | Brazil | male | train |
11497 | 20 | 20s | RU | Russia | male | train |
35391 | 24 | 20s | BY | Belarus | female | train |
34740 | 22 | 20s | CL | Chile | male | train |
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