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 |
|---|---|---|---|---|---|---|
24409 | 38 | 30s | UK | United Kingdom | male | train |
11076 | 29 | 20s | FR | France | female | train |
7122 | 40 | 40s | UK | United Kingdom | male | train |
20184 | 23 | 20s | US | United States | male | train |
55230 | 20 | 20s | RU | Russia | male | train |
13462 | 22 | 20s | DE | Germany | male | train |
98319 | 29 | 20s | UK | United Kingdom | male | train |
28087 | 24 | 20s | VE | Venezuela | male | train |
1596 | 33 | 30s | US | United States | female | train |
21979 | 23 | 20s | FR | France | male | train |
12057 | 34 | 30s | NL | Netherlands | male | train |
13067 | 25 | 20s | DE | Germany | female | train |
2945 | 25 | 20s | US | United States | male | train |
47972 | 19 | 10s | BR | Brazil | male | train |
18869 | 26 | 20s | SE | Sweden | female | train |
25723 | 22 | 20s | RU | Russia | female | train |
42262 | 19 | 10s | PL | Poland | female | train |
21701 | 23 | 20s | EG | Egypt | male | train |
695 | 26 | 20s | UK | United Kingdom | male | train |
6107 | 29 | 20s | ZA | South Africa | male | train |
5487 | 22 | 20s | US | United States | male | train |
46030 | 21 | 20s | GR | Greece | female | train |
14438 | 21 | 20s | SE | Sweden | female | train |
11782 | 21 | 20s | US | United States | female | train |
30348 | 33 | 30s | UK | United Kingdom | male | train |
35405 | 20 | 20s | DE | Germany | male | train |
45626 | 19 | 10s | CA | Canada | male | train |
12946 | 27 | 20s | BR | Brazil | female | train |
21072 | 22 | 20s | BR | Brazil | male | train |
29823 | 19 | 10s | US | United States | male | train |
80694 | 18 | 10s | US | United States | male | train |
56482 | 21 | 20s | BG | Bulgaria | male | train |
46854 | 25 | 20s | ID | Indonesia | male | train |
28041 | 20 | 20s | PL | Poland | male | train |
31959 | 25 | 20s | PL | Poland | female | train |
63804 | 18 | 10s | BR | Brazil | female | train |
1893 | 23 | 20s | US | United States | female | train |
14228 | 30 | 30s | MX | Mexico | female | train |
24827 | 24 | 20s | US | United States | male | train |
27118 | 20 | 20s | RU | Russia | male | train |
26808 | 27 | 20s | US | United States | male | train |
11941 | 23 | 20s | RU | Russia | male | train |
2549 | 22 | 20s | MW | Malawi | female | train |
55234 | 16 | 10s | ES | Spain | male | train |
8142 | 21 | 20s | PL | Poland | female | train |
21009 | 21 | 20s | RU | Russia | male | train |
9060 | 21 | 20s | NZ | New Zealand | female | train |
51013 | 18 | 10s | LT | Lithuania | female | train |
6853 | 23 | 20s | NL | Netherlands | male | train |
86448 | 14 | 10s | AU | Australia | female | train |
17722 | 22 | 20s | CH | Switzerland | male | train |
35018 | 21 | 20s | AU | Australia | female | train |
1110 | 24 | 20s | UK | United Kingdom | male | train |
70306 | 19 | 10s | CL | Chile | male | train |
14401 | 22 | 20s | NL | Netherlands | male | train |
45827 | 64 | 60+ | UK | United Kingdom | male | train |
30991 | 17 | 10s | US | United States | female | train |
12241 | 25 | 20s | MK | North Macedonia | male | train |
6924 | 23 | 20s | FR | France | male | train |
50095 | 23 | 20s | CL | Chile | female | train |
45152 | 19 | 10s | AU | Australia | female | train |
11124 | 39 | 30s | US | United States | female | train |
77574 | 25 | 20s | US | United States | male | train |
3427 | 29 | 20s | FI | Finland | male | train |
60306 | 24 | 20s | PL | Poland | male | train |
8040 | 23 | 20s | CA | Canada | male | train |
30154 | 46 | 40s | US | United States | male | train |
726 | 23 | 20s | SE | Sweden | male | train |
850 | 32 | 30s | US | United States | female | train |
13111 | 20 | 20s | NO | Norway | female | train |
6162 | 26 | 20s | US | United States | female | train |
44842 | 20 | 20s | RU | Russia | female | train |
35427 | 23 | 20s | BR | Brazil | female | train |
19598 | 23 | 20s | UA | Ukraine | male | train |
36481 | 17 | 10s | US | United States | male | train |
34358 | 21 | 20s | MV | Maldives | female | train |
51088 | 20 | 20s | CA | Canada | male | train |
12707 | 47 | 40s | DE | Germany | male | train |
3856 | 40 | 40s | LV | Latvia | male | train |
46999 | 20 | 20s | FI | Finland | female | train |
9859 | 18 | 10s | EE | Estonia | female | train |
71604 | 24 | 20s | IN | India | male | train |
30601 | 44 | 40s | FI | Finland | male | train |
61277 | 27 | 20s | BR | Brazil | male | train |
42447 | 19 | 10s | UK | United Kingdom | male | train |
44837 | 67 | 60+ | BR | Brazil | female | train |
47597 | 19 | 10s | NO | Norway | male | train |
49625 | 14 | 10s | BR | Brazil | female | train |
34440 | 28 | 20s | MX | Mexico | male | train |
36298 | 18 | 10s | CA | Canada | male | train |
3330 | 24 | 20s | US | United States | female | train |
3864 | 32 | 30s | DE | Germany | male | train |
10991 | 28 | 20s | IL | Israel | female | train |
27463 | 19 | 10s | PL | Poland | male | train |
67607 | 27 | 20s | PL | Poland | male | train |
20807 | 23 | 20s | AR | Argentina | male | train |
73959 | 17 | 10s | AU | Australia | male | train |
51756 | 22 | 20s | ZA | South Africa | female | train |
31796 | 44 | 40s | PE | Peru | male | train |
307 | 29 | 20s | SE | Sweden | male | train |
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