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 |
|---|---|---|---|---|---|---|
9394 | 33 | 30s | UK | United Kingdom | male | train |
68325 | 18 | 10s | SE | Sweden | female | train |
31915 | 19 | 10s | PL | Poland | male | train |
63586 | 18 | 10s | BR | Brazil | male | train |
19197 | 23 | 20s | PL | Poland | male | train |
29153 | 19 | 10s | BR | Brazil | male | train |
32748 | 17 | 10s | BR | Brazil | male | train |
20870 | 23 | 20s | BR | Brazil | male | train |
14407 | 37 | 30s | US | United States | male | train |
5201 | 31 | 30s | US | United States | male | train |
71892 | 22 | 20s | HR | Croatia | male | train |
67193 | 33 | 30s | JP | Japan | male | train |
36367 | 25 | 20s | AU | Australia | male | train |
88104 | 17 | 10s | US | United States | female | train |
52561 | 20 | 20s | BR | Brazil | female | train |
57140 | 20 | 20s | IL | Israel | male | train |
16129 | 24 | 20s | HU | Hungary | male | train |
21889 | 21 | 20s | US | United States | male | train |
32869 | 20 | 20s | PL | Poland | male | train |
34597 | 18 | 10s | RU | Russia | male | train |
90255 | 22 | 20s | RU | Russia | female | train |
26609 | 29 | 20s | DK | Denmark | male | train |
31661 | 20 | 20s | DE | Germany | female | train |
28838 | 20 | 20s | RU | Russia | male | train |
6517 | 26 | 20s | CZ | Czech Republic | male | train |
55744 | 22 | 20s | RU | Russia | male | train |
28065 | 21 | 20s | UK | United Kingdom | male | train |
16531 | 27 | 20s | CL | Chile | male | train |
42588 | 21 | 20s | RU | Russia | female | train |
21611 | 27 | 20s | EE | Estonia | male | train |
26625 | 25 | 20s | PL | Poland | male | train |
34545 | 20 | 20s | CZ | Czech Republic | male | train |
35465 | 24 | 20s | US | United States | female | train |
75138 | 21 | 20s | US | United States | male | train |
21515 | 23 | 20s | ES | Spain | male | train |
32068 | 21 | 20s | HR | Croatia | female | train |
95763 | 18 | 10s | BR | Brazil | male | train |
6167 | 30 | 30s | US | United States | male | train |
13272 | 35 | 30s | US | United States | male | train |
41084 | 39 | 30s | PL | Poland | male | train |
54641 | 22 | 20s | MX | Mexico | male | train |
26104 | 17 | 10s | IL | Israel | female | train |
50863 | 22 | 20s | US | United States | male | train |
13124 | 25 | 20s | DE | Germany | male | train |
15229 | 24 | 20s | UK | United Kingdom | male | train |
18880 | 22 | 20s | VA | Vatican City | male | train |
6704 | 20 | 20s | US | United States | female | train |
65742 | 12 | 10s | NO | Norway | female | train |
54544 | 45 | 40s | US | United States | male | train |
2327 | 25 | 20s | US | United States | male | train |
13982 | 24 | 20s | UA | Ukraine | male | train |
6093 | 26 | 20s | NL | Netherlands | male | train |
56553 | 17 | 10s | US | United States | male | train |
12351 | 34 | 30s | US | United States | male | train |
33852 | 25 | 20s | US | United States | female | train |
16874 | 32 | 30s | NL | Netherlands | male | train |
21211 | 45 | 40s | UK | United Kingdom | male | train |
45771 | 22 | 20s | UK | United Kingdom | male | train |
9568 | 26 | 20s | RU | Russia | male | train |
1550 | 23 | 20s | FI | Finland | female | train |
25020 | 24 | 20s | HU | Hungary | male | train |
5398 | 34 | 30s | UK | United Kingdom | male | train |
70112 | 17 | 10s | RU | Russia | male | train |
87054 | 22 | 20s | PR | Puerto Rico | female | train |
64158 | 19 | 10s | BR | Brazil | male | train |
73910 | 18 | 10s | PL | Poland | male | train |
36868 | 24 | 20s | BR | Brazil | female | train |
230 | 28 | 20s | FR | France | male | train |
46978 | 18 | 10s | BR | Brazil | female | train |
4299 | 23 | 20s | US | United States | female | train |
37320 | 25 | 20s | DE | Germany | male | train |
23818 | 20 | 20s | PL | Poland | male | train |
24551 | 18 | 10s | US | United States | female | train |
55186 | 21 | 20s | UK | United Kingdom | male | train |
27883 | 25 | 20s | RU | Russia | female | train |
12056 | 29 | 20s | ES | Spain | male | train |
43455 | 17 | 10s | DK | Denmark | male | train |
64539 | 25 | 20s | VE | Venezuela | male | train |
13932 | 21 | 20s | US | United States | male | train |
12386 | 26 | 20s | PL | Poland | female | train |
49798 | 20 | 20s | CA | Canada | female | train |
25092 | 31 | 30s | TR | Turkey | male | train |
25547 | 24 | 20s | DE | Germany | male | train |
24678 | 35 | 30s | NL | Netherlands | female | train |
59921 | 18 | 10s | PL | Poland | female | train |
8414 | 20 | 20s | UK | United Kingdom | male | train |
39215 | 32 | 30s | NZ | New Zealand | male | train |
39995 | 18 | 10s | SE | Sweden | female | train |
70939 | 20 | 20s | BR | Brazil | male | train |
30281 | 24 | 20s | BR | Brazil | male | train |
24341 | 25 | 20s | RU | Russia | female | train |
65946 | 24 | 20s | RO | Romania | male | train |
35436 | 21 | 20s | IT | Italy | male | train |
25210 | 22 | 20s | PL | Poland | male | train |
33352 | 24 | 20s | PY | Paraguay | male | train |
29622 | 29 | 20s | UK | United Kingdom | male | train |
30019 | 20 | 20s | PT | Portugal | male | train |
20008 | 26 | 20s | NZ | New Zealand | male | train |
67570 | 19 | 10s | PL | Poland | male | train |
70947 | 19 | 10s | MX | Mexico | female | train |
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