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 |
|---|---|---|---|---|---|---|
18660 | 22 | 20s | FI | Finland | female | train |
15862 | 29 | 20s | RU | Russia | male | train |
80147 | 50 | 50s | FR | France | male | train |
1910 | 35 | 30s | CA | Canada | male | train |
15023 | 28 | 20s | NL | Netherlands | male | train |
64202 | 24 | 20s | IT | Italy | female | train |
39632 | 34 | 30s | RU | Russia | male | train |
2376 | 32 | 30s | CH | Switzerland | male | train |
52827 | 19 | 10s | LV | Latvia | female | train |
5235 | 28 | 20s | US | United States | male | train |
22194 | 21 | 20s | LT | Lithuania | female | train |
17261 | 22 | 20s | UK | United Kingdom | male | train |
11421 | 30 | 30s | AU | Australia | male | train |
15839 | 20 | 20s | FI | Finland | female | train |
20242 | 26 | 20s | DE | Germany | male | train |
1157 | 30 | 30s | SE | Sweden | male | train |
10263 | 21 | 20s | US | United States | female | train |
8452 | 27 | 20s | BR | Brazil | male | train |
10135 | 27 | 20s | BR | Brazil | male | train |
21809 | 39 | 30s | BE | Belgium | male | train |
31814 | 19 | 10s | RO | Romania | female | train |
34221 | 30 | 30s | AU | Australia | male | train |
22335 | 22 | 20s | RO | Romania | female | train |
4700 | 32 | 30s | DE | Germany | male | train |
28867 | 26 | 20s | ES | Spain | female | train |
39017 | 17 | 10s | PL | Poland | male | train |
26906 | 19 | 10s | PL | Poland | female | train |
27886 | 22 | 20s | PL | Poland | female | train |
55077 | 17 | 10s | BR | Brazil | female | train |
36871 | 20 | 20s | US | United States | female | train |
2599 | 27 | 20s | UK | United Kingdom | male | train |
49626 | 20 | 20s | NO | Norway | male | train |
1013 | 39 | 30s | DE | Germany | male | train |
19110 | 26 | 20s | DK | Denmark | female | train |
12218 | 24 | 20s | TR | Turkey | female | train |
107879 | 20 | 20s | HN | Honduras | male | train |
30092 | 20 | 20s | NL | Netherlands | female | train |
47938 | 27 | 20s | PL | Poland | female | train |
86184 | 20 | 20s | BR | Brazil | male | train |
10306 | 23 | 20s | US | United States | female | train |
1677 | 26 | 20s | SE | Sweden | male | train |
33461 | 26 | 20s | US | United States | female | train |
54566 | 19 | 10s | PL | Poland | male | train |
22390 | 22 | 20s | DE | Germany | male | train |
54898 | 18 | 10s | FI | Finland | male | train |
21132 | 21 | 20s | FR | France | male | train |
49955 | 22 | 20s | AU | Australia | female | train |
3477 | 41 | 40s | IS | Iceland | male | train |
41850 | 26 | 20s | BY | Belarus | male | train |
115172 | 17 | 10s | DE | Germany | female | train |
4866 | 29 | 20s | CZ | Czech Republic | male | train |
3509 | 24 | 20s | US | United States | male | train |
51977 | 26 | 20s | FI | Finland | male | train |
62690 | 27 | 20s | PL | Poland | male | train |
55205 | 15 | 10s | BR | Brazil | female | train |
90741 | 16 | 10s | BR | Brazil | male | train |
36250 | 37 | 30s | US | United States | female | train |
49212 | 17 | 10s | UK | United Kingdom | female | train |
105805 | 14 | 10s | UK | United Kingdom | female | train |
2329 | 30 | 30s | US | United States | male | train |
14504 | 24 | 20s | BR | Brazil | male | train |
14200 | 26 | 20s | BG | Bulgaria | male | train |
50458 | 21 | 20s | AU | Australia | female | train |
27096 | 36 | 30s | PL | Poland | female | train |
23292 | 17 | 10s | UA | Ukraine | female | train |
45948 | 24 | 20s | CO | Colombia | male | train |
48280 | 20 | 20s | IT | Italy | male | train |
2745 | 23 | 20s | FI | Finland | male | train |
15452 | 27 | 20s | US | United States | male | train |
105693 | 19 | 10s | JP | Japan | male | train |
15069 | 23 | 20s | FR | France | male | train |
64965 | 18 | 10s | PL | Poland | female | train |
67544 | 22 | 20s | DE | Germany | male | train |
11091 | 25 | 20s | SE | Sweden | female | train |
5911 | 22 | 20s | UK | United Kingdom | male | train |
2021 | 26 | 20s | AQ | Antarctica | female | train |
28674 | 23 | 20s | PL | Poland | male | train |
13485 | 25 | 20s | NL | Netherlands | male | train |
49331 | 21 | 20s | BR | Brazil | male | train |
33594 | 35 | 30s | MX | Mexico | male | train |
2924 | 25 | 20s | US | United States | male | train |
8175 | 28 | 20s | AR | Argentina | male | train |
59387 | 19 | 10s | RU | Russia | male | train |
55948 | 19 | 10s | BR | Brazil | male | train |
59187 | 18 | 10s | TR | Turkey | male | train |
70414 | 19 | 10s | PL | Poland | male | train |
119691 | 15 | 10s | AU | Australia | male | train |
42498 | 22 | 20s | PL | Poland | female | train |
35885 | 16 | 10s | PL | Poland | female | train |
13174 | 24 | 20s | UK | United Kingdom | male | train |
64147 | 18 | 10s | VN | Vietnam | female | train |
30508 | 53 | 50s | NO | Norway | female | train |
53092 | 17 | 10s | BR | Brazil | female | train |
43765 | 18 | 10s | BR | Brazil | female | train |
18806 | 25 | 20s | US | United States | male | train |
9272 | 21 | 20s | UA | Ukraine | male | train |
12483 | 22 | 20s | PL | Poland | male | train |
25772 | 24 | 20s | IR | Iran | male | train |
28000 | 22 | 20s | BR | Brazil | female | train |
2669 | 25 | 20s | US | United States | female | train |
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