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 |
|---|---|---|---|---|---|---|
20518 | 23 | 20s | HR | Croatia | male | train |
77896 | 19 | 10s | UA | Ukraine | male | train |
6766 | 22 | 20s | US | United States | male | train |
17342 | 31 | 30s | TT | Trinidad and Tobago | female | train |
14505 | 27 | 20s | US | United States | male | train |
28661 | 30 | 30s | TH | Thailand | male | train |
42161 | 20 | 20s | AT | Austria | female | train |
8436 | 27 | 20s | CO | Colombia | male | train |
34287 | 26 | 20s | US | United States | male | train |
4982 | 26 | 20s | DE | Germany | male | train |
18529 | 23 | 20s | US | United States | male | train |
5155 | 24 | 20s | RO | Romania | male | train |
38757 | 22 | 20s | US | United States | male | train |
59899 | 17 | 10s | US | United States | female | train |
40265 | 22 | 20s | US | United States | female | train |
7799 | 26 | 20s | US | United States | male | train |
30726 | 23 | 20s | UK | United Kingdom | female | train |
25030 | 26 | 20s | MX | Mexico | male | train |
21882 | 27 | 20s | US | United States | male | train |
79888 | 21 | 20s | PL | Poland | female | train |
49377 | 20 | 20s | UK | United Kingdom | male | train |
15938 | 42 | 40s | AR | Argentina | male | train |
1902 | 46 | 40s | US | United States | male | train |
58258 | 23 | 20s | BR | Brazil | male | train |
12768 | 24 | 20s | US | United States | male | train |
13333 | 23 | 20s | RU | Russia | male | train |
4163 | 24 | 20s | AU | Australia | male | train |
62926 | 19 | 10s | US | United States | female | train |
15551 | 37 | 30s | UK | United Kingdom | male | train |
53774 | 18 | 10s | US | United States | female | train |
50292 | 20 | 20s | US | United States | male | train |
53436 | 16 | 10s | UA | Ukraine | male | train |
16551 | 22 | 20s | RU | Russia | male | train |
50629 | 23 | 20s | BR | Brazil | male | train |
37206 | 18 | 10s | BR | Brazil | female | train |
13548 | 23 | 20s | US | United States | male | train |
36071 | 41 | 40s | US | United States | female | train |
30095 | 25 | 20s | GR | Greece | female | train |
20977 | 22 | 20s | SE | Sweden | female | train |
1150 | 24 | 20s | US | United States | male | train |
35154 | 19 | 10s | BR | Brazil | male | train |
12690 | 21 | 20s | PL | Poland | female | train |
48273 | 18 | 10s | PL | Poland | female | train |
64543 | 18 | 10s | DE | Germany | female | train |
9733 | 24 | 20s | AU | Australia | female | train |
77095 | 26 | 20s | US | United States | male | train |
22517 | 21 | 20s | US | United States | male | train |
6895 | 23 | 20s | DE | Germany | male | train |
14033 | 34 | 30s | RU | Russia | male | train |
50962 | 22 | 20s | US | United States | male | train |
14506 | 22 | 20s | US | United States | female | train |
5449 | 23 | 20s | LT | Lithuania | male | train |
102284 | 19 | 10s | RU | Russia | male | train |
60641 | 31 | 30s | BR | Brazil | male | train |
24293 | 23 | 20s | MX | Mexico | male | train |
32156 | 24 | 20s | RU | Russia | male | train |
14410 | 23 | 20s | CA | Canada | male | train |
5544 | 28 | 20s | CA | Canada | male | train |
8184 | 29 | 20s | TR | Turkey | female | train |
49815 | 22 | 20s | BR | Brazil | female | train |
105099 | 19 | 10s | BR | Brazil | male | train |
19919 | 27 | 20s | RU | Russia | male | train |
684 | 40 | 40s | UK | United Kingdom | male | train |
22376 | 19 | 10s | PL | Poland | female | train |
29125 | 23 | 20s | BR | Brazil | male | train |
9309 | 33 | 30s | US | United States | male | train |
119 | 25 | 20s | DE | Germany | male | train |
7400 | 22 | 20s | PL | Poland | male | train |
47057 | 25 | 20s | FR | France | male | train |
12806 | 23 | 20s | UK | United Kingdom | female | train |
3182 | 25 | 20s | US | United States | female | train |
88487 | 18 | 10s | UA | Ukraine | male | train |
82238 | 21 | 20s | JP | Japan | male | train |
3496 | 25 | 20s | CA | Canada | female | train |
9670 | 21 | 20s | UK | United Kingdom | male | train |
47394 | 17 | 10s | DE | Germany | female | train |
41381 | 16 | 10s | US | United States | male | train |
37169 | 16 | 10s | PL | Poland | male | train |
2843 | 24 | 20s | RU | Russia | male | train |
44303 | 16 | 10s | BR | Brazil | male | train |
117131 | 21 | 20s | SE | Sweden | male | train |
20038 | 32 | 30s | IR | Iran | male | train |
57587 | 19 | 10s | BR | Brazil | male | train |
8282 | 25 | 20s | NL | Netherlands | male | train |
51633 | 18 | 10s | PL | Poland | male | train |
44704 | 23 | 20s | ID | Indonesia | male | train |
42805 | 19 | 10s | DE | Germany | male | train |
18058 | 21 | 20s | CZ | Czech Republic | male | train |
34837 | 23 | 20s | CA | Canada | female | train |
26642 | 24 | 20s | RO | Romania | female | train |
2890 | 27 | 20s | RO | Romania | male | train |
3737 | 21 | 20s | US | United States | male | train |
44674 | 41 | 40s | US | United States | female | train |
10914 | 22 | 20s | UK | United Kingdom | male | train |
17020 | 21 | 20s | UK | United Kingdom | male | train |
23523 | 22 | 20s | UA | Ukraine | female | train |
37028 | 19 | 10s | US | United States | male | train |
10809 | 22 | 20s | PL | Poland | female | train |
76858 | 25 | 20s | US | United States | male | train |
16117 | 22 | 20s | RO | Romania | female | train |
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