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 |
|---|---|---|---|---|---|---|
20690 | 26 | 20s | FR | France | male | train |
37120 | 43 | 40s | JP | Japan | male | train |
7181 | 28 | 20s | BR | Brazil | female | train |
2595 | 23 | 20s | NO | Norway | female | train |
65787 | 20 | 20s | RU | Russia | male | train |
25090 | 19 | 10s | PL | Poland | male | train |
18656 | 25 | 20s | HR | Croatia | male | train |
45014 | 18 | 10s | PY | Paraguay | male | train |
26594 | 31 | 30s | DE | Germany | male | train |
18165 | 28 | 20s | DE | Germany | female | train |
62248 | 16 | 10s | BR | Brazil | female | train |
56187 | 20 | 20s | US | United States | male | train |
21013 | 25 | 20s | RU | Russia | female | train |
36423 | 19 | 10s | PL | Poland | female | train |
28635 | 19 | 10s | PL | Poland | female | train |
16731 | 28 | 20s | UK | United Kingdom | male | train |
2415 | 27 | 20s | US | United States | male | train |
28620 | 19 | 10s | PT | Portugal | male | train |
1519 | 26 | 20s | NL | Netherlands | female | train |
13782 | 23 | 20s | NL | Netherlands | male | train |
77552 | 20 | 20s | FR | France | male | train |
2866 | 21 | 20s | US | United States | male | train |
20509 | 29 | 20s | JP | Japan | male | train |
18121 | 23 | 20s | ES | Spain | male | train |
18859 | 26 | 20s | BR | Brazil | male | train |
28988 | 6 | 10s | PL | Poland | female | train |
2436 | 24 | 20s | UK | United Kingdom | female | train |
38617 | 21 | 20s | DE | Germany | male | train |
12352 | 28 | 20s | BR | Brazil | male | train |
87449 | 19 | 10s | LV | Latvia | male | train |
36022 | 21 | 20s | PL | Poland | male | train |
9536 | 26 | 20s | RU | Russia | male | train |
7220 | 23 | 20s | PE | Peru | male | train |
105881 | 19 | 10s | ID | Indonesia | female | train |
42224 | 25 | 20s | DE | Germany | female | train |
49406 | 19 | 10s | PL | Poland | female | train |
13391 | 30 | 30s | US | United States | male | train |
70658 | 13 | 10s | RO | Romania | male | train |
20697 | 19 | 10s | DE | Germany | male | train |
17389 | 21 | 20s | FI | Finland | male | train |
60801 | 18 | 10s | BY | Belarus | female | train |
9370 | 22 | 20s | US | United States | male | train |
6453 | 40 | 40s | UK | United Kingdom | male | train |
76033 | 20 | 20s | GR | Greece | female | train |
23625 | 23 | 20s | DE | Germany | male | train |
31855 | 23 | 20s | NL | Netherlands | male | train |
19551 | 41 | 40s | PL | Poland | female | train |
6069 | 21 | 20s | NL | Netherlands | female | train |
29773 | 20 | 20s | CA | Canada | male | train |
7866 | 25 | 20s | AU | Australia | female | train |
62922 | 27 | 20s | ID | Indonesia | female | train |
10877 | 21 | 20s | SE | Sweden | female | train |
17444 | 25 | 20s | US | United States | female | train |
33287 | 22 | 20s | PL | Poland | male | train |
89257 | 21 | 20s | MA | Morocco | male | train |
73097 | 22 | 20s | UA | Ukraine | female | train |
20572 | 20 | 20s | UA | Ukraine | male | train |
21152 | 21 | 20s | BR | Brazil | male | train |
52921 | 23 | 20s | HR | Croatia | male | train |
96668 | 20 | 20s | IL | Israel | female | train |
5071 | 29 | 20s | US | United States | male | train |
49795 | 19 | 10s | NZ | New Zealand | male | train |
8603 | 28 | 20s | AU | Australia | male | train |
27116 | 19 | 10s | PL | Poland | female | train |
17929 | 22 | 20s | US | United States | female | train |
7023 | 32 | 30s | PL | Poland | male | train |
1641 | 45 | 40s | DE | Germany | male | train |
31101 | 24 | 20s | BY | Belarus | male | train |
10583 | 23 | 20s | BR | Brazil | female | train |
6580 | 39 | 30s | HK | Hong Kong | male | train |
30334 | 24 | 20s | SE | Sweden | male | train |
50504 | 18 | 10s | RU | Russia | male | train |
14297 | 21 | 20s | PL | Poland | female | train |
49368 | 22 | 20s | BR | Brazil | female | train |
29552 | 21 | 20s | ES | Spain | male | train |
47925 | 19 | 10s | DE | Germany | female | train |
12947 | 35 | 30s | SE | Sweden | male | train |
40016 | 18 | 10s | IN | India | male | train |
18265 | 28 | 20s | CZ | Czech Republic | male | train |
19065 | 22 | 20s | US | United States | female | train |
55174 | 18 | 10s | US | United States | female | train |
20050 | 22 | 20s | NL | Netherlands | male | train |
920 | 27 | 20s | US | United States | male | train |
7260 | 24 | 20s | UK | United Kingdom | male | train |
41242 | 20 | 20s | UK | United Kingdom | male | train |
32412 | 26 | 20s | PL | Poland | female | train |
5242 | 23 | 20s | SE | Sweden | male | train |
17559 | 21 | 20s | AO | Angola | female | train |
31128 | 23 | 20s | US | United States | female | train |
10057 | 34 | 30s | ES | Spain | female | train |
91453 | 22 | 20s | KZ | Kazakhstan | female | train |
32338 | 17 | 10s | UK | United Kingdom | male | train |
69914 | 20 | 20s | BR | Brazil | female | train |
23907 | 23 | 20s | CZ | Czech Republic | male | train |
75663 | 14 | 10s | UK | United Kingdom | female | train |
74700 | 19 | 10s | CO | Colombia | male | train |
23091 | 20 | 20s | NL | Netherlands | male | train |
6530 | 26 | 20s | SE | Sweden | male | train |
13085 | 26 | 20s | UK | United Kingdom | male | train |
34561 | 25 | 20s | US | United States | male | train |
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