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 |
|---|---|---|---|---|---|---|
1786 | 24 | 20s | US | United States | male | train |
9339 | 26 | 20s | US | United States | female | train |
39100 | 20 | 20s | RU | Russia | female | train |
39222 | 19 | 10s | RU | Russia | female | train |
21549 | 28 | 20s | ZA | South Africa | male | train |
69059 | 27 | 20s | JP | Japan | male | train |
43202 | 24 | 20s | FI | Finland | male | train |
47332 | 25 | 20s | MX | Mexico | male | train |
31543 | 26 | 20s | BR | Brazil | male | train |
19944 | 58 | 50s | NL | Netherlands | male | train |
20244 | 22 | 20s | UK | United Kingdom | male | train |
81167 | 16 | 10s | BR | Brazil | male | train |
64659 | 18 | 10s | SE | Sweden | female | train |
61755 | 20 | 20s | BR | Brazil | male | train |
17287 | 35 | 30s | SE | Sweden | male | train |
6024 | 22 | 20s | NL | Netherlands | male | train |
915 | 47 | 40s | NL | Netherlands | male | train |
49385 | 18 | 10s | PL | Poland | male | train |
31378 | 18 | 10s | PL | Poland | male | train |
18120 | 22 | 20s | MX | Mexico | male | train |
20751 | 19 | 10s | BR | Brazil | male | train |
32983 | 19 | 10s | US | United States | male | train |
7314 | 27 | 20s | FR | France | male | train |
17615 | 30 | 30s | US | United States | female | train |
48611 | 21 | 20s | MX | Mexico | male | train |
60158 | 26 | 20s | US | United States | male | train |
24432 | 22 | 20s | CN | China | male | train |
34183 | 23 | 20s | DE | Germany | female | train |
35380 | 54 | 50s | JP | Japan | male | train |
3976 | 29 | 20s | NZ | New Zealand | male | train |
24790 | 20 | 20s | UK | United Kingdom | female | train |
16550 | 27 | 20s | SE | Sweden | male | train |
22618 | 23 | 20s | BR | Brazil | female | train |
25063 | 22 | 20s | BR | Brazil | male | train |
63805 | 19 | 10s | BR | Brazil | male | train |
55861 | 50 | 50s | DE | Germany | male | train |
4317 | 26 | 20s | DE | Germany | male | train |
12268 | 23 | 20s | RU | Russia | male | train |
88934 | 19 | 10s | CL | Chile | female | train |
5300 | 22 | 20s | AU | Australia | male | train |
13546 | 24 | 20s | US | United States | female | train |
42930 | 17 | 10s | BR | Brazil | female | train |
50716 | 21 | 20s | BR | Brazil | male | train |
12692 | 21 | 20s | EE | Estonia | male | train |
91480 | 17 | 10s | ID | Indonesia | male | train |
57674 | 17 | 10s | PL | Poland | male | train |
9757 | 22 | 20s | CL | Chile | male | train |
47584 | 23 | 20s | MX | Mexico | female | train |
29184 | 39 | 30s | UK | United Kingdom | male | train |
72840 | 17 | 10s | BY | Belarus | male | train |
1285 | 22 | 20s | SE | Sweden | male | train |
6631 | 23 | 20s | UK | United Kingdom | male | train |
2019 | 22 | 20s | FI | Finland | male | train |
7197 | 34 | 30s | US | United States | male | train |
5496 | 27 | 20s | US | United States | female | train |
16579 | 28 | 20s | BR | Brazil | male | train |
70364 | 25 | 20s | BR | Brazil | male | train |
60267 | 18 | 10s | BR | Brazil | male | train |
26201 | 29 | 20s | FR | France | male | train |
29775 | 26 | 20s | DE | Germany | male | train |
22720 | 23 | 20s | US | United States | male | train |
38146 | 23 | 20s | PL | Poland | male | train |
5652 | 27 | 20s | FR | France | male | train |
10515 | 36 | 30s | US | United States | male | train |
2459 | 26 | 20s | US | United States | female | train |
24286 | 20 | 20s | BR | Brazil | male | train |
27165 | 19 | 10s | PL | Poland | male | train |
33283 | 19 | 10s | BR | Brazil | male | train |
7168 | 24 | 20s | UK | United Kingdom | male | train |
10220 | 22 | 20s | US | United States | male | train |
15040 | 28 | 20s | DE | Germany | male | train |
29267 | 37 | 30s | MX | Mexico | male | train |
27600 | 24 | 20s | US | United States | male | train |
49247 | 25 | 20s | PL | Poland | male | train |
61486 | 21 | 20s | BR | Brazil | male | train |
32598 | 19 | 10s | PL | Poland | male | train |
8433 | 21 | 20s | NL | Netherlands | female | train |
56874 | 18 | 10s | BR | Brazil | male | train |
11001 | 22 | 20s | US | United States | male | train |
20169 | 20 | 20s | NL | Netherlands | male | train |
11728 | 25 | 20s | BR | Brazil | male | train |
3387 | 30 | 30s | SE | Sweden | male | train |
1221 | 32 | 30s | IE | Ireland | male | train |
57563 | 22 | 20s | BR | Brazil | male | train |
112319 | 28 | 20s | CA | Canada | female | train |
23026 | 23 | 20s | MX | Mexico | female | train |
25426 | 20 | 20s | US | United States | male | train |
5150 | 23 | 20s | NL | Netherlands | female | train |
37659 | 29 | 20s | PL | Poland | female | train |
29408 | 22 | 20s | US | United States | female | train |
34418 | 18 | 10s | BR | Brazil | female | train |
56594 | 23 | 20s | EE | Estonia | male | train |
36557 | 18 | 10s | PL | Poland | male | train |
18465 | 23 | 20s | RU | Russia | female | train |
7524 | 26 | 20s | TR | Turkey | male | train |
34660 | 20 | 20s | GE | Georgia | male | train |
20902 | 25 | 20s | MX | Mexico | male | train |
90240 | 21 | 20s | ID | Indonesia | male | train |
45611 | 27 | 20s | BR | Brazil | female | train |
35326 | 24 | 20s | BR | Brazil | male | train |
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