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 |
|---|---|---|---|---|---|---|
20811 | 19 | 10s | BR | Brazil | male | train |
38429 | 24 | 20s | MX | Mexico | male | train |
42019 | 24 | 20s | FI | Finland | female | train |
58828 | 16 | 10s | BR | Brazil | female | train |
68524 | 18 | 10s | PL | Poland | female | train |
12296 | 21 | 20s | FR | France | male | train |
28051 | 30 | 30s | BR | Brazil | male | train |
15848 | 23 | 20s | DE | Germany | male | train |
23640 | 25 | 20s | BR | Brazil | female | train |
88198 | 21 | 20s | RU | Russia | male | train |
48979 | 16 | 10s | PL | Poland | female | train |
23153 | 22 | 20s | US | United States | female | train |
13301 | 32 | 30s | US | United States | male | train |
9803 | 24 | 20s | RU | Russia | male | train |
2295 | 18 | 10s | UK | United Kingdom | female | train |
31940 | 18 | 10s | TR | Turkey | female | train |
5396 | 23 | 20s | DE | Germany | male | train |
18795 | 23 | 20s | RU | Russia | male | train |
32204 | 26 | 20s | US | United States | female | train |
116885 | 32 | 30s | UK | United Kingdom | male | train |
32915 | 20 | 20s | RO | Romania | male | train |
23924 | 24 | 20s | JP | Japan | male | train |
62390 | 18 | 10s | US | United States | male | train |
17247 | 23 | 20s | RO | Romania | male | train |
62964 | 22 | 20s | FI | Finland | male | train |
996 | 25 | 20s | LI | Liechtenstein | male | train |
14932 | 20 | 20s | CZ | Czech Republic | male | train |
18249 | 20 | 20s | CL | Chile | female | train |
33118 | 3 | 10s | PL | Poland | male | train |
2025 | 27 | 20s | AU | Australia | male | train |
9444 | 23 | 20s | UA | Ukraine | male | train |
31884 | 20 | 20s | US | United States | male | train |
39926 | 30 | 30s | US | United States | male | train |
3394 | 24 | 20s | PL | Poland | male | train |
33537 | 21 | 20s | PT | Portugal | female | train |
50661 | 20 | 20s | BR | Brazil | female | train |
113561 | 18 | 10s | US | United States | male | train |
54863 | 17 | 10s | UK | United Kingdom | female | train |
71805 | 18 | 10s | PL | Poland | male | train |
13240 | 30 | 30s | US | United States | male | train |
73233 | 16 | 10s | PL | Poland | male | train |
9777 | 22 | 20s | UK | United Kingdom | male | train |
71957 | 21 | 20s | ID | Indonesia | male | train |
24303 | 32 | 30s | TR | Turkey | male | train |
5673 | 25 | 20s | BR | Brazil | female | train |
70352 | 16 | 10s | PL | Poland | male | train |
37696 | 18 | 10s | PL | Poland | male | train |
6537 | 23 | 20s | US | United States | male | train |
2916 | 23 | 20s | FI | Finland | female | train |
59159 | 18 | 10s | PL | Poland | female | train |
29012 | 18 | 10s | DE | Germany | male | train |
15004 | 23 | 20s | VE | Venezuela | male | train |
51449 | 19 | 10s | PL | Poland | female | train |
29226 | 20 | 20s | US | United States | male | train |
30242 | 22 | 20s | US | United States | male | train |
69142 | 19 | 10s | RU | Russia | male | train |
13183 | 25 | 20s | CO | Colombia | male | train |
5619 | 26 | 20s | BG | Bulgaria | male | train |
41609 | 19 | 10s | PL | Poland | male | train |
65729 | 29 | 20s | AU | Australia | male | train |
16721 | 25 | 20s | ES | Spain | male | train |
30445 | 22 | 20s | US | United States | female | train |
32620 | 18 | 10s | MX | Mexico | female | train |
49717 | 48 | 40s | AU | Australia | male | train |
1073 | 32 | 30s | US | United States | female | train |
62933 | 24 | 20s | RU | Russia | male | train |
23042 | 52 | 50s | RU | Russia | male | train |
15304 | 22 | 20s | BR | Brazil | female | train |
20737 | 27 | 20s | UK | United Kingdom | male | train |
2109 | 26 | 20s | US | United States | male | train |
7112 | 22 | 20s | DE | Germany | female | train |
34895 | 21 | 20s | US | United States | female | train |
10149 | 25 | 20s | BR | Brazil | female | train |
1124 | 39 | 30s | FI | Finland | male | train |
101006 | 18 | 10s | FI | Finland | male | train |
88297 | 16 | 10s | NZ | New Zealand | male | train |
32487 | 19 | 10s | CZ | Czech Republic | male | train |
34714 | 20 | 20s | UK | United Kingdom | male | train |
55469 | 21 | 20s | ID | Indonesia | male | train |
111238 | 18 | 10s | US | United States | male | train |
53662 | 22 | 20s | TR | Turkey | male | train |
33243 | 20 | 20s | UK | United Kingdom | female | train |
35082 | 36 | 30s | US | United States | male | train |
30661 | 52 | 50s | DE | Germany | male | train |
16135 | 23 | 20s | RU | Russia | female | train |
26040 | 25 | 20s | LT | Lithuania | female | train |
49556 | 18 | 10s | RU | Russia | female | train |
67834 | 19 | 10s | PH | Philippines | male | train |
32936 | 23 | 20s | BR | Brazil | male | train |
14607 | 22 | 20s | IE | Ireland | male | train |
170 | 25 | 20s | ES | Spain | male | train |
12526 | 26 | 20s | TR | Turkey | female | train |
73085 | 26 | 20s | AQ | Antarctica | male | train |
49741 | 18 | 10s | RU | Russia | female | train |
8823 | 36 | 30s | ES | Spain | male | train |
18814 | 30 | 30s | JP | Japan | male | train |
48698 | 18 | 10s | PL | Poland | male | train |
38435 | 21 | 20s | AR | Argentina | female | train |
8998 | 27 | 20s | MX | Mexico | female | train |
631 | 41 | 40s | US | United States | female | train |
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