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 |
|---|---|---|---|---|---|---|
13479 | 22 | 20s | CL | Chile | male | train |
48627 | 29 | 20s | AU | Australia | male | train |
15378 | 24 | 20s | BR | Brazil | female | train |
25400 | 18 | 10s | BR | Brazil | female | train |
10363 | 24 | 20s | NL | Netherlands | male | train |
24019 | 31 | 30s | AU | Australia | male | train |
4633 | 24 | 20s | BG | Bulgaria | female | train |
115672 | 19 | 10s | RU | Russia | female | train |
61513 | 26 | 20s | UK | United Kingdom | male | train |
18101 | 26 | 20s | RO | Romania | male | train |
75024 | 23 | 20s | US | United States | female | train |
2107 | 31 | 30s | US | United States | male | train |
73713 | 19 | 10s | AU | Australia | male | train |
41022 | 36 | 30s | US | United States | male | train |
55558 | 58 | 50s | AU | Australia | male | train |
607 | 25 | 20s | US | United States | male | train |
45 | 36 | 30s | UK | United Kingdom | male | train |
38192 | 21 | 20s | PH | Philippines | female | train |
14158 | 21 | 20s | NL | Netherlands | male | train |
91326 | 18 | 10s | PL | Poland | female | train |
190 | 27 | 20s | US | United States | male | train |
25160 | 20 | 20s | PL | Poland | male | train |
2982 | 25 | 20s | FR | France | male | train |
57493 | 18 | 10s | BR | Brazil | female | train |
38558 | 17 | 10s | BR | Brazil | male | train |
10324 | 29 | 20s | VE | Venezuela | male | train |
34529 | 18 | 10s | EE | Estonia | male | train |
57339 | 21 | 20s | BE | Belgium | male | train |
57722 | 17 | 10s | BR | Brazil | male | train |
26449 | 24 | 20s | CO | Colombia | male | train |
37293 | 18 | 10s | RU | Russia | male | train |
738 | 28 | 20s | FI | Finland | male | train |
36701 | 19 | 10s | ES | Spain | male | train |
20343 | 30 | 30s | RU | Russia | female | train |
61106 | 20 | 20s | RU | Russia | male | train |
13681 | 20 | 20s | SK | Slovakia | female | train |
2581 | 21 | 20s | UK | United Kingdom | female | train |
19154 | 71 | 60+ | PL | Poland | female | train |
1292 | 41 | 40s | CZ | Czech Republic | male | train |
35413 | 22 | 20s | US | United States | male | train |
239 | 26 | 20s | RS | Serbia | male | train |
56449 | 25 | 20s | RU | Russia | female | train |
11473 | 20 | 20s | IT | Italy | female | train |
23677 | 19 | 10s | AU | Australia | male | train |
68050 | 40 | 40s | US | United States | male | train |
35259 | 16 | 10s | US | United States | male | train |
51815 | 18 | 10s | BR | Brazil | male | train |
6078 | 23 | 20s | DE | Germany | male | train |
22448 | 23 | 20s | AU | Australia | male | train |
4974 | 24 | 20s | DE | Germany | male | train |
21118 | 22 | 20s | RU | Russia | male | train |
11487 | 26 | 20s | TR | Turkey | female | train |
37691 | 18 | 10s | IL | Israel | male | train |
87983 | 22 | 20s | US | United States | male | train |
18587 | 23 | 20s | CZ | Czech Republic | male | train |
898 | 40 | 40s | JP | Japan | male | train |
39199 | 16 | 10s | PL | Poland | male | train |
1171 | 25 | 20s | DE | Germany | male | train |
21533 | 20 | 20s | PL | Poland | male | train |
27788 | 22 | 20s | CO | Colombia | male | train |
32129 | 35 | 30s | US | United States | male | train |
21526 | 27 | 20s | US | United States | male | train |
27471 | 19 | 10s | UK | United Kingdom | male | train |
9704 | 28 | 20s | US | United States | male | train |
8692 | 35 | 30s | JP | Japan | male | train |
10295 | 21 | 20s | DK | Denmark | female | train |
72556 | 16 | 10s | BG | Bulgaria | male | train |
10821 | 30 | 30s | AU | Australia | male | train |
49323 | 26 | 20s | EC | Ecuador | male | train |
31114 | 27 | 20s | PL | Poland | female | train |
32909 | 21 | 20s | FI | Finland | male | train |
8980 | 21 | 20s | BR | Brazil | female | train |
6803 | 24 | 20s | ZA | South Africa | female | train |
6522 | 24 | 20s | UK | United Kingdom | male | train |
638 | 39 | 30s | FR | France | male | train |
65082 | 18 | 10s | PL | Poland | female | train |
1164 | 24 | 20s | BR | Brazil | female | train |
3591 | 26 | 20s | FR | France | male | train |
7690 | 25 | 20s | US | United States | female | train |
50524 | 29 | 20s | DE | Germany | male | train |
41143 | 31 | 30s | US | United States | male | train |
15017 | 18 | 10s | LT | Lithuania | male | train |
8017 | 29 | 20s | BR | Brazil | male | train |
10131 | 28 | 20s | DE | Germany | male | train |
15162 | 24 | 20s | UK | United Kingdom | male | train |
38933 | 26 | 20s | UA | Ukraine | male | train |
13901 | 19 | 10s | US | United States | male | train |
55138 | 20 | 20s | RU | Russia | female | train |
58428 | 28 | 20s | US | United States | male | train |
60934 | 17 | 10s | BR | Brazil | male | train |
100034 | 21 | 20s | ID | Indonesia | female | train |
115918 | 42 | 40s | DE | Germany | male | train |
38228 | 24 | 20s | US | United States | male | train |
57176 | 15 | 10s | BR | Brazil | female | train |
17934 | 27 | 20s | UA | Ukraine | male | train |
41161 | 22 | 20s | US | United States | male | train |
18281 | 29 | 20s | US | United States | male | train |
31937 | 22 | 20s | HU | Hungary | male | train |
7906 | 24 | 20s | UK | United Kingdom | male | train |
109157 | 40 | 40s | AU | Australia | male | train |
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