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 |
|---|---|---|---|---|---|---|
46671 | 31 | 30s | US | United States | male | train |
43207 | 25 | 20s | ID | Indonesia | male | train |
79713 | 18 | 10s | AU | Australia | male | train |
2909 | 28 | 20s | PL | Poland | male | train |
45097 | 21 | 20s | BR | Brazil | male | train |
13004 | 20 | 20s | CZ | Czech Republic | male | train |
4329 | 23 | 20s | PL | Poland | male | train |
24988 | 21 | 20s | RU | Russia | female | train |
50771 | 20 | 20s | PL | Poland | female | train |
44243 | 19 | 10s | SE | Sweden | male | train |
28782 | 34 | 30s | CA | Canada | male | train |
50722 | 19 | 10s | PT | Portugal | male | train |
9952 | 24 | 20s | DE | Germany | male | train |
31068 | 21 | 20s | FI | Finland | male | train |
28731 | 20 | 20s | RU | Russia | female | train |
13222 | 23 | 20s | RU | Russia | female | train |
20220 | 23 | 20s | UK | United Kingdom | female | train |
14768 | 19 | 10s | TR | Turkey | male | train |
12856 | 22 | 20s | PL | Poland | female | train |
3165 | 34 | 30s | US | United States | male | train |
18613 | 32 | 30s | BR | Brazil | male | train |
51015 | 19 | 10s | PT | Portugal | male | train |
86766 | 26 | 20s | NL | Netherlands | female | train |
102302 | 16 | 10s | US | United States | female | train |
15841 | 27 | 20s | UA | Ukraine | male | train |
9089 | 24 | 20s | DE | Germany | male | train |
73114 | 19 | 10s | MX | Mexico | male | train |
44126 | 19 | 10s | BR | Brazil | male | train |
1697 | 23 | 20s | PL | Poland | female | train |
76061 | 20 | 20s | CL | Chile | male | train |
15650 | 34 | 30s | US | United States | male | train |
56598 | 16 | 10s | AZ | Azerbaijan | female | train |
95403 | 17 | 10s | MX | Mexico | female | train |
14088 | 28 | 20s | UK | United Kingdom | male | train |
8650 | 26 | 20s | FI | Finland | female | train |
71366 | 18 | 10s | ES | Spain | female | train |
11318 | 22 | 20s | US | United States | female | train |
18394 | 25 | 20s | BR | Brazil | male | train |
32058 | 21 | 20s | NL | Netherlands | male | train |
95830 | 19 | 10s | AU | Australia | male | train |
6567 | 27 | 20s | CA | Canada | female | train |
6437 | 22 | 20s | US | United States | female | train |
60078 | 19 | 10s | BR | Brazil | male | train |
12088 | 25 | 20s | AU | Australia | female | train |
9351 | 26 | 20s | FR | France | male | train |
1545 | 26 | 20s | RS | Serbia | male | train |
118818 | 17 | 10s | UA | Ukraine | male | train |
15126 | 17 | 10s | SE | Sweden | male | train |
39322 | 20 | 20s | AU | Australia | male | train |
11214 | 20 | 20s | PL | Poland | female | train |
41307 | 31 | 30s | ES | Spain | male | train |
14843 | 32 | 30s | NL | Netherlands | male | train |
43749 | 21 | 20s | ES | Spain | male | train |
12178 | 21 | 20s | UK | United Kingdom | male | train |
22042 | 22 | 20s | CA | Canada | female | train |
91086 | 15 | 10s | BR | Brazil | male | train |
1790 | 23 | 20s | ES | Spain | male | train |
23573 | 26 | 20s | BR | Brazil | male | train |
16055 | 25 | 20s | US | United States | female | train |
11853 | 35 | 30s | US | United States | male | train |
47428 | 33 | 30s | US | United States | male | train |
38944 | 22 | 20s | UK | United Kingdom | female | train |
20995 | 46 | 40s | US | United States | male | train |
36383 | 21 | 20s | US | United States | female | train |
13977 | 23 | 20s | PL | Poland | male | train |
29455 | 19 | 10s | TN | Tunisia | female | train |
42795 | 21 | 20s | RU | Russia | male | train |
37276 | 23 | 20s | BG | Bulgaria | male | train |
17740 | 30 | 30s | ZA | South Africa | male | train |
11761 | 31 | 30s | ZA | South Africa | male | train |
22365 | 27 | 20s | BR | Brazil | female | train |
17026 | 25 | 20s | BR | Brazil | male | train |
13088 | 23 | 20s | LV | Latvia | male | train |
5650 | 40 | 40s | MX | Mexico | male | train |
56870 | 19 | 10s | RU | Russia | male | train |
68130 | 19 | 10s | PL | Poland | male | train |
24922 | 24 | 20s | PL | Poland | male | train |
5083 | 35 | 30s | US | United States | male | train |
36626 | 17 | 10s | PL | Poland | male | train |
54824 | 22 | 20s | CZ | Czech Republic | female | train |
16749 | 25 | 20s | BR | Brazil | male | train |
17175 | 24 | 20s | UK | United Kingdom | female | train |
42331 | 20 | 20s | PL | Poland | female | train |
24121 | 42 | 40s | MX | Mexico | male | train |
55268 | 17 | 10s | RU | Russia | male | train |
30549 | 19 | 10s | BR | Brazil | male | train |
7626 | 36 | 30s | US | United States | male | train |
12388 | 25 | 20s | LV | Latvia | male | train |
9268 | 22 | 20s | US | United States | male | train |
23679 | 23 | 20s | DE | Germany | male | train |
40238 | 26 | 20s | US | United States | female | train |
30373 | 28 | 20s | AU | Australia | male | train |
89202 | 17 | 10s | BR | Brazil | male | train |
19522 | 31 | 30s | IE | Ireland | male | train |
12887 | 30 | 30s | CO | Colombia | male | train |
55610 | 22 | 20s | ID | Indonesia | male | train |
74301 | 19 | 10s | US | United States | male | train |
9864 | 18 | 10s | PL | Poland | male | train |
37065 | 27 | 20s | US | United States | male | train |
33500 | 20 | 20s | UK | United Kingdom | female | train |
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