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 |
|---|---|---|---|---|---|---|
27180 | 16 | 10s | PL | Poland | male | train |
52349 | 18 | 10s | BR | Brazil | male | train |
10074 | 26 | 20s | US | United States | male | train |
21163 | 20 | 20s | PL | Poland | male | train |
29735 | 25 | 20s | SE | Sweden | male | train |
13870 | 33 | 30s | AU | Australia | male | train |
37400 | 17 | 10s | NL | Netherlands | female | train |
20377 | 23 | 20s | UK | United Kingdom | male | train |
25488 | 20 | 20s | PL | Poland | male | train |
73889 | 21 | 20s | US | United States | male | train |
48042 | 20 | 20s | RU | Russia | female | train |
33037 | 18 | 10s | PL | Poland | female | train |
12433 | 32 | 30s | DE | Germany | male | train |
11514 | 29 | 20s | RU | Russia | male | train |
28892 | 18 | 10s | BG | Bulgaria | female | train |
20792 | 25 | 20s | MX | Mexico | male | train |
18949 | 29 | 20s | CA | Canada | male | train |
50413 | 22 | 20s | NO | Norway | male | train |
6649 | 26 | 20s | US | United States | female | train |
46940 | 21 | 20s | EE | Estonia | male | train |
974 | 21 | 20s | US | United States | male | train |
30767 | 23 | 20s | HU | Hungary | male | train |
54148 | 18 | 10s | PL | Poland | female | train |
15446 | 26 | 20s | CA | Canada | male | train |
91147 | 23 | 20s | BR | Brazil | male | train |
34091 | 22 | 20s | PT | Portugal | male | train |
45533 | 21 | 20s | BR | Brazil | female | train |
37259 | 23 | 20s | BR | Brazil | male | train |
20643 | 22 | 20s | SE | Sweden | male | train |
79067 | 34 | 30s | TR | Turkey | female | train |
30956 | 22 | 20s | MX | Mexico | male | train |
20993 | 29 | 20s | BR | Brazil | male | train |
15301 | 26 | 20s | FI | Finland | female | train |
20619 | 21 | 20s | PL | Poland | female | train |
57856 | 17 | 10s | UK | United Kingdom | male | train |
10439 | 31 | 30s | FR | France | male | train |
514 | 33 | 30s | ES | Spain | male | train |
37595 | 20 | 20s | PL | Poland | male | train |
3055 | 32 | 30s | BR | Brazil | male | train |
9448 | 28 | 20s | US | United States | male | train |
48657 | 20 | 20s | BR | Brazil | female | train |
1983 | 26 | 20s | UK | United Kingdom | male | train |
47356 | 18 | 10s | RU | Russia | male | train |
77358 | 26 | 20s | US | United States | male | train |
46175 | 22 | 20s | AU | Australia | male | train |
45157 | 20 | 20s | UK | United Kingdom | male | train |
290 | 24 | 20s | US | United States | male | train |
4052 | 24 | 20s | PE | Peru | male | train |
32474 | 20 | 20s | UA | Ukraine | female | train |
17383 | 19 | 10s | UK | United Kingdom | female | train |
6823 | 25 | 20s | UK | United Kingdom | male | train |
11596 | 23 | 20s | UA | Ukraine | male | train |
23991 | 28 | 20s | CZ | Czech Republic | male | train |
32049 | 20 | 20s | PL | Poland | male | train |
73460 | 18 | 10s | PL | Poland | male | train |
8588 | 22 | 20s | BR | Brazil | female | train |
50048 | 17 | 10s | PL | Poland | male | train |
3915 | 31 | 30s | AT | Austria | male | train |
4880 | 22 | 20s | DK | Denmark | male | train |
15761 | 28 | 20s | BR | Brazil | female | train |
98300 | 20 | 20s | MY | Malaysia | female | train |
15470 | 25 | 20s | FI | Finland | female | train |
22753 | 19 | 10s | PL | Poland | female | train |
40378 | 23 | 20s | US | United States | male | train |
4567 | 29 | 20s | US | United States | female | train |
36521 | 27 | 20s | DE | Germany | male | train |
17306 | 19 | 10s | FI | Finland | female | train |
102877 | 18 | 10s | ID | Indonesia | male | train |
15334 | 23 | 20s | DE | Germany | male | train |
2244 | 26 | 20s | BR | Brazil | male | train |
27017 | 24 | 20s | US | United States | male | train |
2548 | 24 | 20s | AU | Australia | female | train |
29341 | 21 | 20s | RU | Russia | male | train |
39251 | 15 | 10s | BR | Brazil | male | train |
51973 | 21 | 20s | CL | Chile | female | train |
4457 | 25 | 20s | US | United States | female | train |
32121 | 27 | 20s | US | United States | male | train |
21362 | 36 | 30s | MX | Mexico | male | train |
43008 | 23 | 20s | UK | United Kingdom | male | train |
5182 | 24 | 20s | UK | United Kingdom | male | train |
84707 | 20 | 20s | PL | Poland | male | train |
1207 | 44 | 40s | CA | Canada | male | train |
45240 | 24 | 20s | NO | Norway | male | train |
74371 | 15 | 10s | US | United States | male | train |
26841 | 20 | 20s | PL | Poland | male | train |
53823 | 24 | 20s | BR | Brazil | male | train |
6736 | 22 | 20s | UK | United Kingdom | male | train |
16465 | 26 | 20s | FR | France | female | train |
21098 | 22 | 20s | UA | Ukraine | male | train |
21686 | 27 | 20s | ES | Spain | male | train |
47367 | 17 | 10s | ES | Spain | female | train |
17515 | 35 | 30s | DE | Germany | male | train |
47684 | 18 | 10s | DK | Denmark | male | train |
19003 | 19 | 10s | TR | Turkey | female | train |
14057 | 27 | 20s | SE | Sweden | female | train |
31820 | 22 | 20s | LT | Lithuania | female | train |
2734 | 27 | 20s | RS | Serbia | male | train |
80083 | 18 | 10s | US | United States | female | train |
73476 | 21 | 20s | CZ | Czech Republic | male | train |
84972 | 23 | 20s | PL | Poland | female | train |
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