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 |
|---|---|---|---|---|---|---|
6280 | 26 | 20s | UK | United Kingdom | male | train |
22527 | 17 | 10s | PL | Poland | male | train |
36227 | 19 | 10s | PL | Poland | female | train |
5326 | 30 | 30s | FR | France | female | train |
35480 | 19 | 10s | RU | Russia | male | train |
42207 | 17 | 10s | RU | Russia | male | train |
14598 | 22 | 20s | AU | Australia | male | train |
46160 | 39 | 30s | MX | Mexico | male | train |
21970 | 20 | 20s | ES | Spain | male | train |
8604 | 20 | 20s | US | United States | male | train |
9854 | 28 | 20s | BR | Brazil | male | train |
4698 | 40 | 40s | FI | Finland | male | train |
60100 | 20 | 20s | JP | Japan | female | train |
9809 | 23 | 20s | US | United States | male | train |
9085 | 27 | 20s | RU | Russia | male | train |
15704 | 28 | 20s | DE | Germany | male | train |
22465 | 18 | 10s | US | United States | male | train |
42065 | 17 | 10s | PL | Poland | male | train |
35778 | 16 | 10s | BR | Brazil | male | train |
72640 | 23 | 20s | UA | Ukraine | female | train |
50119 | 19 | 10s | PL | Poland | female | train |
51564 | 22 | 20s | US | United States | male | train |
8104 | 26 | 20s | US | United States | female | train |
9661 | 24 | 20s | US | United States | male | train |
16850 | 25 | 20s | US | United States | female | train |
59742 | 20 | 20s | CL | Chile | male | train |
51432 | 21 | 20s | UY | Uruguay | male | train |
17392 | 27 | 20s | ID | Indonesia | male | train |
26722 | 24 | 20s | CL | Chile | male | train |
9727 | 26 | 20s | IT | Italy | male | train |
11217 | 20 | 20s | BE | Belgium | male | train |
28505 | 27 | 20s | UA | Ukraine | female | train |
70498 | 19 | 10s | NL | Netherlands | female | train |
52979 | 18 | 10s | US | United States | female | train |
19334 | 18 | 10s | UK | United Kingdom | female | train |
58977 | 18 | 10s | BR | Brazil | female | train |
8391 | 20 | 20s | FI | Finland | male | train |
43888 | 23 | 20s | EG | Egypt | male | train |
33587 | 20 | 20s | DE | Germany | male | train |
25281 | 20 | 20s | PL | Poland | male | train |
43358 | 19 | 10s | BR | Brazil | female | train |
55554 | 41 | 40s | US | United States | male | train |
15462 | 26 | 20s | FR | France | male | train |
44490 | 38 | 30s | DK | Denmark | male | train |
85267 | 23 | 20s | DE | Germany | male | train |
54638 | 22 | 20s | ID | Indonesia | male | train |
22979 | 33 | 30s | RU | Russia | male | train |
28516 | 28 | 20s | DO | Dominican Republic | male | train |
64666 | 19 | 10s | BR | Brazil | female | train |
48204 | 23 | 20s | US | United States | male | train |
20182 | 30 | 30s | US | United States | male | train |
62974 | 21 | 20s | US | United States | male | train |
55670 | 21 | 20s | BY | Belarus | male | train |
23226 | 24 | 20s | NL | Netherlands | male | train |
17752 | 22 | 20s | NL | Netherlands | male | train |
22260 | 24 | 20s | NL | Netherlands | male | train |
13590 | 21 | 20s | DE | Germany | female | train |
20142 | 21 | 20s | MX | Mexico | male | train |
27621 | 19 | 10s | DE | Germany | male | train |
47646 | 20 | 20s | US | United States | female | train |
55031 | 21 | 20s | GE | Georgia | female | train |
29941 | 18 | 10s | US | United States | male | train |
108098 | 20 | 20s | BY | Belarus | male | train |
49085 | 17 | 10s | BR | Brazil | male | train |
2409 | 26 | 20s | UK | United Kingdom | male | train |
52836 | 18 | 10s | NL | Netherlands | male | train |
33381 | 23 | 20s | IE | Ireland | male | train |
10516 | 25 | 20s | PL | Poland | female | train |
19403 | 24 | 20s | US | United States | female | train |
634 | 26 | 20s | AU | Australia | male | train |
34072 | 18 | 10s | PL | Poland | male | train |
40191 | 21 | 20s | ID | Indonesia | male | train |
61280 | 36 | 30s | DE | Germany | male | train |
37463 | 17 | 10s | IS | Iceland | female | train |
7941 | 21 | 20s | AT | Austria | male | train |
26029 | 32 | 30s | DE | Germany | female | train |
4214 | 26 | 20s | FR | France | male | train |
2351 | 23 | 20s | RO | Romania | male | train |
4829 | 22 | 20s | UK | United Kingdom | male | train |
42605 | 6 | 10s | PE | Peru | female | train |
24576 | 22 | 20s | MX | Mexico | male | train |
19153 | 26 | 20s | AR | Argentina | male | train |
47300 | 22 | 20s | CA | Canada | male | train |
7266 | 42 | 40s | MX | Mexico | male | train |
38145 | 21 | 20s | DE | Germany | male | train |
60216 | 23 | 20s | BR | Brazil | male | train |
12967 | 31 | 30s | UK | United Kingdom | male | train |
20341 | 29 | 20s | AT | Austria | male | train |
2742 | 30 | 30s | AU | Australia | female | train |
16734 | 20 | 20s | CL | Chile | male | train |
2592 | 28 | 20s | RU | Russia | male | train |
50265 | 22 | 20s | RU | Russia | female | train |
41772 | 26 | 20s | RU | Russia | male | train |
32651 | 19 | 10s | RO | Romania | male | train |
9697 | 27 | 20s | UK | United Kingdom | female | train |
11845 | 32 | 30s | US | United States | male | train |
5422 | 25 | 20s | US | United States | male | train |
67260 | 24 | 20s | MK | North Macedonia | female | train |
42528 | 21 | 20s | RU | Russia | male | train |
2684 | 30 | 30s | GR | Greece | male | train |
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