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 |
|---|---|---|---|---|---|---|
11672 | 19 | 10s | LT | Lithuania | male | train |
51278 | 19 | 10s | HR | Croatia | male | train |
30468 | 19 | 10s | US | United States | male | train |
40328 | 19 | 10s | CH | Switzerland | male | train |
51940 | 24 | 20s | BY | Belarus | male | train |
5512 | 30 | 30s | NL | Netherlands | male | train |
64130 | 22 | 20s | RU | Russia | male | train |
37490 | 22 | 20s | CL | Chile | male | train |
2989 | 22 | 20s | LV | Latvia | female | train |
37821 | 23 | 20s | PL | Poland | male | train |
18852 | 24 | 20s | DE | Germany | female | train |
32048 | 24 | 20s | PL | Poland | male | train |
46278 | 24 | 20s | UK | United Kingdom | female | train |
7847 | 31 | 30s | DE | Germany | male | train |
4597 | 26 | 20s | US | United States | female | train |
43554 | 22 | 20s | HU | Hungary | male | train |
3437 | 25 | 20s | BR | Brazil | female | train |
36341 | 32 | 30s | US | United States | male | train |
6494 | 23 | 20s | UK | United Kingdom | male | train |
1735 | 21 | 20s | UK | United Kingdom | male | train |
7627 | 20 | 20s | BR | Brazil | male | train |
26454 | 26 | 20s | MX | Mexico | male | train |
5495 | 23 | 20s | US | United States | male | train |
12895 | 38 | 30s | NO | Norway | male | train |
64286 | 21 | 20s | UK | United Kingdom | male | train |
50407 | 19 | 10s | BR | Brazil | male | train |
38546 | 29 | 20s | US | United States | female | train |
59052 | 17 | 10s | PL | Poland | male | train |
32522 | 23 | 20s | CL | Chile | female | train |
51878 | 22 | 20s | TN | Tunisia | female | train |
21595 | 19 | 10s | PL | Poland | male | train |
88210 | 29 | 20s | US | United States | male | train |
66463 | 19 | 10s | US | United States | male | train |
2767 | 24 | 20s | US | United States | male | train |
58353 | 23 | 20s | UK | United Kingdom | female | train |
27878 | 17 | 10s | CA | Canada | male | train |
14398 | 38 | 30s | DE | Germany | male | train |
20618 | 25 | 20s | PL | Poland | male | train |
4818 | 28 | 20s | UK | United Kingdom | male | train |
9366 | 24 | 20s | DE | Germany | male | train |
7403 | 26 | 20s | TR | Turkey | male | train |
20300 | 23 | 20s | PL | Poland | male | train |
5427 | 25 | 20s | UK | United Kingdom | male | train |
24940 | 25 | 20s | US | United States | male | train |
39123 | 21 | 20s | CA | Canada | female | train |
7397 | 25 | 20s | US | United States | female | train |
15082 | 30 | 30s | MX | Mexico | male | train |
75012 | 21 | 20s | US | United States | male | train |
62438 | 20 | 20s | FI | Finland | male | train |
36186 | 24 | 20s | IE | Ireland | male | train |
13825 | 26 | 20s | NL | Netherlands | female | train |
46428 | 20 | 20s | PL | Poland | male | train |
67534 | 26 | 20s | RS | Serbia | female | train |
38777 | 21 | 20s | VE | Venezuela | female | train |
19789 | 26 | 20s | DE | Germany | male | train |
49009 | 22 | 20s | US | United States | female | train |
70686 | 18 | 10s | RU | Russia | female | train |
2504 | 24 | 20s | DE | Germany | male | train |
1842 | 29 | 20s | US | United States | male | train |
18044 | 24 | 20s | SE | Sweden | male | train |
6400 | 24 | 20s | CH | Switzerland | male | train |
67277 | 20 | 20s | NL | Netherlands | male | train |
2845 | 26 | 20s | US | United States | male | train |
50816 | 19 | 10s | SK | Slovakia | male | train |
54593 | 22 | 20s | AU | Australia | female | train |
20287 | 24 | 20s | PL | Poland | male | train |
116025 | 18 | 10s | IR | Iran | female | train |
5460 | 24 | 20s | UK | United Kingdom | male | train |
9848 | 24 | 20s | DE | Germany | male | train |
30860 | 19 | 10s | BE | Belgium | male | train |
64975 | 23 | 20s | DE | Germany | male | train |
73308 | 17 | 10s | US | United States | female | train |
15802 | 38 | 30s | BE | Belgium | male | train |
3894 | 35 | 30s | CA | Canada | male | train |
4246 | 27 | 20s | SE | Sweden | male | train |
29650 | 18 | 10s | DE | Germany | female | train |
8992 | 21 | 20s | NO | Norway | female | train |
35986 | 17 | 10s | UK | United Kingdom | male | train |
35953 | 24 | 20s | MX | Mexico | male | train |
42529 | 28 | 20s | RU | Russia | male | train |
5301 | 33 | 30s | FR | France | male | train |
35862 | 19 | 10s | PL | Poland | male | train |
56202 | 17 | 10s | IT | Italy | male | train |
80153 | 16 | 10s | LV | Latvia | male | train |
55089 | 17 | 10s | CH | Switzerland | male | train |
31467 | 20 | 20s | UA | Ukraine | male | train |
10101 | 28 | 20s | MX | Mexico | male | train |
5287 | 37 | 30s | UK | United Kingdom | male | train |
72825 | 20 | 20s | US | United States | male | train |
24549 | 25 | 20s | UK | United Kingdom | male | train |
101898 | 31 | 30s | US | United States | female | train |
118969 | 25 | 20s | ME | Montenegro | male | train |
410 | 24 | 20s | DE | Germany | male | train |
29578 | 25 | 20s | US | United States | female | train |
4752 | 31 | 30s | NL | Netherlands | female | train |
45002 | 33 | 30s | MX | Mexico | male | train |
56231 | 20 | 20s | US | United States | male | train |
45678 | 19 | 10s | CL | Chile | male | train |
55275 | 28 | 20s | NL | Netherlands | male | train |
73464 | 20 | 20s | UA | Ukraine | male | train |
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