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 |
|---|---|---|---|---|---|---|
38242 | 25 | 20s | BR | Brazil | male | train |
9013 | 19 | 10s | FI | Finland | female | train |
26225 | 22 | 20s | BR | Brazil | male | train |
13327 | 21 | 20s | PL | Poland | male | train |
34407 | 19 | 10s | VN | Vietnam | male | train |
13074 | 23 | 20s | TR | Turkey | female | train |
50576 | 21 | 20s | TR | Turkey | male | train |
35548 | 29 | 20s | DE | Germany | female | train |
17708 | 24 | 20s | BE | Belgium | male | train |
107059 | 18 | 10s | RU | Russia | male | train |
55204 | 24 | 20s | US | United States | male | train |
6852 | 21 | 20s | CZ | Czech Republic | male | train |
32235 | 16 | 10s | PL | Poland | female | train |
24830 | 24 | 20s | BR | Brazil | male | train |
92532 | 18 | 10s | BY | Belarus | female | train |
31422 | 24 | 20s | US | United States | male | train |
51741 | 28 | 20s | UA | Ukraine | male | train |
92907 | 22 | 20s | AR | Argentina | female | train |
52153 | 18 | 10s | RU | Russia | female | train |
40931 | 24 | 20s | PL | Poland | male | train |
28081 | 23 | 20s | HR | Croatia | male | train |
745 | 35 | 30s | ES | Spain | male | train |
21356 | 26 | 20s | RU | Russia | male | train |
62052 | 22 | 20s | BR | Brazil | male | train |
65240 | 21 | 20s | BR | Brazil | male | train |
32207 | 19 | 10s | UK | United Kingdom | male | train |
105803 | 42 | 40s | US | United States | female | train |
35416 | 20 | 20s | BR | Brazil | female | train |
4978 | 28 | 20s | US | United States | female | train |
23796 | 37 | 30s | EC | Ecuador | male | train |
31461 | 22 | 20s | SE | Sweden | male | train |
22709 | 26 | 20s | LV | Latvia | male | train |
36031 | 22 | 20s | PL | Poland | male | train |
38766 | 20 | 20s | RU | Russia | female | train |
8781 | 23 | 20s | DE | Germany | male | train |
35841 | 21 | 20s | US | United States | male | train |
6877 | 40 | 40s | IE | Ireland | male | train |
7619 | 22 | 20s | BR | Brazil | female | train |
51990 | 16 | 10s | FI | Finland | female | train |
2048 | 25 | 20s | FI | Finland | male | train |
56680 | 20 | 20s | UA | Ukraine | male | train |
6496 | 25 | 20s | DE | Germany | male | train |
51988 | 20 | 20s | UA | Ukraine | male | train |
35349 | 25 | 20s | NZ | New Zealand | male | train |
19544 | 25 | 20s | PL | Poland | male | train |
26309 | 19 | 10s | BR | Brazil | male | train |
6080 | 24 | 20s | PL | Poland | male | train |
38136 | 24 | 20s | RO | Romania | female | train |
22985 | 30 | 30s | DE | Germany | male | train |
66008 | 20 | 20s | RU | Russia | male | train |
106477 | 15 | 10s | BR | Brazil | male | train |
71246 | 20 | 20s | BR | Brazil | male | train |
20488 | 27 | 20s | AT | Austria | male | train |
81498 | 16 | 10s | FR | France | male | train |
13353 | 21 | 20s | FI | Finland | female | train |
18070 | 23 | 20s | BE | Belgium | female | train |
23876 | 18 | 10s | PL | Poland | male | train |
50062 | 17 | 10s | BR | Brazil | male | train |
20636 | 20 | 20s | BR | Brazil | male | train |
1977 | 28 | 20s | US | United States | male | train |
19228 | 29 | 20s | NL | Netherlands | male | train |
39208 | 23 | 20s | RU | Russia | female | train |
16365 | 26 | 20s | NL | Netherlands | male | train |
39902 | 18 | 10s | RU | Russia | male | train |
13139 | 22 | 20s | US | United States | male | train |
49405 | 31 | 30s | CL | Chile | male | train |
116460 | 21 | 20s | US | United States | male | train |
20133 | 20 | 20s | PL | Poland | male | train |
70748 | 17 | 10s | FI | Finland | female | train |
8254 | 23 | 20s | US | United States | female | train |
25468 | 23 | 20s | BR | Brazil | male | train |
12077 | 21 | 20s | FR | France | male | train |
986 | 25 | 20s | SE | Sweden | male | train |
64806 | 21 | 20s | PL | Poland | male | train |
4860 | 22 | 20s | US | United States | male | train |
8839 | 26 | 20s | DE | Germany | male | train |
38573 | 22 | 20s | UA | Ukraine | male | train |
8466 | 34 | 30s | US | United States | male | train |
11904 | 35 | 30s | ES | Spain | male | train |
37442 | 24 | 20s | FI | Finland | female | train |
8997 | 23 | 20s | UK | United Kingdom | male | train |
2738 | 25 | 20s | PL | Poland | male | train |
50423 | 16 | 10s | RU | Russia | male | train |
48987 | 16 | 10s | BR | Brazil | female | train |
30635 | 21 | 20s | RU | Russia | male | train |
2430 | 33 | 30s | US | United States | male | train |
30618 | 26 | 20s | DE | Germany | male | train |
57609 | 29 | 20s | RU | Russia | male | train |
95280 | 20 | 20s | HU | Hungary | male | train |
23052 | 22 | 20s | SE | Sweden | female | train |
16056 | 52 | 50s | CA | Canada | male | train |
26127 | 19 | 10s | PL | Poland | female | train |
65202 | 18 | 10s | AU | Australia | male | train |
51343 | 21 | 20s | CA | Canada | female | train |
18366 | 22 | 20s | MX | Mexico | male | train |
15878 | 27 | 20s | TR | Turkey | female | train |
51618 | 24 | 20s | US | United States | male | train |
21880 | 23 | 20s | BR | Brazil | female | train |
54464 | 16 | 10s | BR | Brazil | male | train |
39793 | 20 | 20s | BE | Belgium | male | train |
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