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 |
|---|---|---|---|---|---|---|
50340 | 21 | 20s | RU | Russia | female | train |
75412 | 50 | 50s | US | United States | male | train |
41926 | 23 | 20s | UK | United Kingdom | male | train |
3974 | 20 | 20s | MY | Malaysia | male | train |
38266 | 17 | 10s | NO | Norway | male | train |
43526 | 25 | 20s | NL | Netherlands | male | train |
6589 | 25 | 20s | US | United States | male | train |
36714 | 26 | 20s | IT | Italy | male | train |
4931 | 22 | 20s | DE | Germany | male | train |
32868 | 20 | 20s | EH | Western Sahara | male | train |
36040 | 33 | 30s | PL | Poland | male | train |
46673 | 21 | 20s | AU | Australia | male | train |
15865 | 20 | 20s | PL | Poland | male | train |
33540 | 20 | 20s | HU | Hungary | male | train |
11096 | 21 | 20s | RU | Russia | male | train |
44616 | 20 | 20s | US | United States | male | train |
14065 | 26 | 20s | BR | Brazil | female | train |
39711 | 19 | 10s | US | United States | female | train |
103958 | 14 | 10s | BR | Brazil | female | train |
12117 | 24 | 20s | CA | Canada | male | train |
28352 | 25 | 20s | ES | Spain | female | train |
16159 | 24 | 20s | NL | Netherlands | female | train |
49353 | 20 | 20s | NL | Netherlands | male | train |
5897 | 32 | 30s | PL | Poland | male | train |
48037 | 20 | 20s | SE | Sweden | male | train |
46914 | 22 | 20s | UK | United Kingdom | male | train |
22419 | 21 | 20s | US | United States | female | train |
57699 | 25 | 20s | BR | Brazil | male | train |
61389 | 22 | 20s | US | United States | male | train |
69080 | 18 | 10s | BR | Brazil | male | train |
17605 | 19 | 10s | MX | Mexico | male | train |
24124 | 21 | 20s | BR | Brazil | male | train |
61960 | 25 | 20s | UK | United Kingdom | male | train |
12592 | 29 | 20s | US | United States | female | train |
32625 | 27 | 20s | PL | Poland | male | train |
29895 | 32 | 30s | US | United States | female | train |
15081 | 29 | 20s | LV | Latvia | male | train |
63092 | 17 | 10s | CZ | Czech Republic | male | train |
4875 | 23 | 20s | CZ | Czech Republic | male | train |
21204 | 28 | 20s | BR | Brazil | male | train |
688 | 24 | 20s | NL | Netherlands | male | train |
29068 | 21 | 20s | UK | United Kingdom | male | train |
80453 | 30 | 30s | FI | Finland | male | train |
102730 | 14 | 10s | BR | Brazil | male | train |
76655 | 17 | 10s | UA | Ukraine | female | train |
5318 | 33 | 30s | ES | Spain | male | train |
12815 | 23 | 20s | AU | Australia | female | train |
323 | 27 | 20s | UK | United Kingdom | male | train |
39386 | 17 | 10s | PT | Portugal | male | train |
10548 | 21 | 20s | UK | United Kingdom | male | train |
4345 | 27 | 20s | US | United States | female | train |
60990 | 19 | 10s | BR | Brazil | female | train |
83515 | 20 | 20s | FI | Finland | female | train |
51134 | 16 | 10s | DE | Germany | male | train |
17645 | 21 | 20s | DE | Germany | female | train |
16775 | 21 | 20s | BE | Belgium | male | train |
44967 | 3 | 10s | PT | Portugal | male | train |
34360 | 23 | 20s | US | United States | female | train |
19901 | 37 | 30s | SE | Sweden | male | train |
51658 | 23 | 20s | BR | Brazil | male | train |
1804 | 29 | 20s | AU | Australia | male | train |
38802 | 22 | 20s | PL | Poland | male | train |
100782 | 25 | 20s | US | United States | male | train |
51712 | 24 | 20s | BR | Brazil | female | train |
37163 | 22 | 20s | MY | Malaysia | female | train |
20007 | 29 | 20s | AR | Argentina | female | train |
32011 | 20 | 20s | JP | Japan | female | train |
11418 | 21 | 20s | UK | United Kingdom | male | train |
35732 | 17 | 10s | US | United States | female | train |
35809 | 23 | 20s | AR | Argentina | female | train |
56732 | 19 | 10s | US | United States | male | train |
57008 | 20 | 20s | ID | Indonesia | female | train |
13895 | 27 | 20s | FR | France | male | train |
37908 | 20 | 20s | PL | Poland | male | train |
110880 | 19 | 10s | AU | Australia | female | train |
3645 | 29 | 20s | KR | South Korea | male | train |
5731 | 21 | 20s | US | United States | female | train |
48992 | 22 | 20s | US | United States | male | train |
6876 | 23 | 20s | PL | Poland | male | train |
53937 | 19 | 10s | CO | Colombia | female | train |
10078 | 25 | 20s | HU | Hungary | male | train |
74317 | 16 | 10s | PL | Poland | female | train |
18060 | 23 | 20s | UK | United Kingdom | male | train |
11694 | 16 | 10s | PT | Portugal | male | train |
47589 | 18 | 10s | FR | France | male | train |
18152 | 33 | 30s | NL | Netherlands | male | train |
27831 | 19 | 10s | PL | Poland | male | train |
11899 | 24 | 20s | NO | Norway | male | train |
62147 | 17 | 10s | FI | Finland | male | train |
4433 | 23 | 20s | US | United States | female | train |
7269 | 21 | 20s | NO | Norway | male | train |
7910 | 25 | 20s | SE | Sweden | male | train |
112099 | 19 | 10s | BG | Bulgaria | female | train |
8613 | 26 | 20s | DE | Germany | male | train |
14332 | 24 | 20s | DE | Germany | female | train |
60115 | 26 | 20s | DE | Germany | male | train |
3943 | 23 | 20s | US | United States | male | train |
14588 | 25 | 20s | LV | Latvia | female | train |
31476 | 19 | 10s | US | United States | female | train |
45234 | 18 | 10s | AU | Australia | male | train |
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