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 |
|---|---|---|---|---|---|---|
58924 | 21 | 20s | UA | Ukraine | male | train |
21590 | 24 | 20s | AU | Australia | male | train |
78325 | 67 | 60+ | BR | Brazil | male | train |
3311 | 20 | 20s | UK | United Kingdom | male | train |
102731 | 18 | 10s | US | United States | female | train |
5359 | 23 | 20s | UK | United Kingdom | male | train |
9970 | 30 | 30s | PT | Portugal | male | train |
117913 | 17 | 10s | US | United States | male | train |
108717 | 21 | 20s | BR | Brazil | male | train |
25727 | 33 | 30s | MX | Mexico | male | train |
16263 | 30 | 30s | US | United States | male | train |
111868 | 47 | 40s | NO | Norway | male | train |
16008 | 22 | 20s | MX | Mexico | female | train |
5317 | 25 | 20s | BR | Brazil | male | train |
103811 | 20 | 20s | ZA | South Africa | male | train |
12344 | 21 | 20s | US | United States | male | train |
38083 | 21 | 20s | RU | Russia | male | train |
56098 | 22 | 20s | UK | United Kingdom | male | train |
11419 | 32 | 30s | UK | United Kingdom | male | train |
12330 | 23 | 20s | GR | Greece | female | train |
62113 | 18 | 10s | US | United States | male | train |
4716 | 22 | 20s | CA | Canada | male | train |
39553 | 22 | 20s | BR | Brazil | female | train |
40206 | 32 | 30s | US | United States | female | train |
59437 | 17 | 10s | AE | United Arab Emirates | male | train |
68552 | 40 | 40s | NL | Netherlands | male | train |
668 | 23 | 20s | DE | Germany | male | train |
72414 | 20 | 20s | ID | Indonesia | male | train |
20170 | 22 | 20s | SE | Sweden | male | train |
52501 | 19 | 10s | BR | Brazil | female | train |
76139 | 20 | 20s | US | United States | male | train |
15838 | 21 | 20s | US | United States | male | train |
30027 | 20 | 20s | UK | United Kingdom | male | train |
12484 | 23 | 20s | TN | Tunisia | male | train |
62152 | 18 | 10s | US | United States | male | train |
5714 | 29 | 20s | HR | Croatia | male | train |
9037 | 22 | 20s | PL | Poland | male | train |
21618 | 22 | 20s | CL | Chile | female | train |
53614 | 15 | 10s | BR | Brazil | male | train |
50548 | 22 | 20s | PL | Poland | female | train |
51840 | 18 | 10s | ES | Spain | male | train |
23222 | 18 | 10s | NL | Netherlands | male | train |
28376 | 20 | 20s | UK | United Kingdom | male | train |
67146 | 17 | 10s | ID | Indonesia | female | train |
33444 | 21 | 20s | RU | Russia | male | train |
10028 | 21 | 20s | PL | Poland | male | train |
16839 | 25 | 20s | PL | Poland | male | train |
15618 | 36 | 30s | PL | Poland | male | train |
31490 | 19 | 10s | US | United States | male | train |
20522 | 25 | 20s | AU | Australia | male | train |
69606 | 21 | 20s | RS | Serbia | male | train |
18842 | 36 | 30s | NL | Netherlands | male | train |
25112 | 18 | 10s | UK | United Kingdom | female | train |
714 | 25 | 20s | UK | United Kingdom | male | train |
17888 | 22 | 20s | BR | Brazil | female | train |
65816 | 17 | 10s | RU | Russia | female | train |
40764 | 24 | 20s | US | United States | male | train |
62682 | 50 | 50s | IT | Italy | male | train |
30026 | 22 | 20s | RO | Romania | male | train |
10205 | 21 | 20s | PL | Poland | male | train |
36533 | 18 | 10s | BR | Brazil | female | train |
9463 | 27 | 20s | US | United States | male | train |
58097 | 29 | 20s | UK | United Kingdom | male | train |
7844 | 20 | 20s | US | United States | male | train |
17043 | 19 | 10s | DE | Germany | male | train |
43646 | 21 | 20s | KZ | Kazakhstan | male | train |
2219 | 25 | 20s | CH | Switzerland | male | train |
18414 | 20 | 20s | TW | Taiwan | female | train |
17170 | 22 | 20s | US | United States | male | train |
22022 | 30 | 30s | UK | United Kingdom | male | train |
34519 | 18 | 10s | DE | Germany | female | train |
36632 | 22 | 20s | PL | Poland | female | train |
34400 | 19 | 10s | BG | Bulgaria | female | train |
72916 | 21 | 20s | UA | Ukraine | male | train |
70420 | 19 | 10s | US | United States | female | train |
51516 | 17 | 10s | NZ | New Zealand | male | train |
6970 | 23 | 20s | LT | Lithuania | male | train |
58017 | 16 | 10s | BR | Brazil | female | train |
21609 | 30 | 30s | RU | Russia | male | train |
29127 | 34 | 30s | US | United States | female | train |
54951 | 18 | 10s | BR | Brazil | male | train |
7728 | 34 | 30s | TR | Turkey | male | train |
19772 | 24 | 20s | PL | Poland | male | train |
39230 | 44 | 40s | DE | Germany | female | train |
61362 | 15 | 10s | BR | Brazil | female | train |
80070 | 54 | 50s | US | United States | male | train |
31297 | 26 | 20s | US | United States | male | train |
9651 | 30 | 30s | NL | Netherlands | male | train |
5053 | 28 | 20s | CZ | Czech Republic | male | train |
63206 | 17 | 10s | US | United States | male | train |
10518 | 24 | 20s | RU | Russia | female | train |
58039 | 23 | 20s | US | United States | female | train |
86220 | 19 | 10s | BR | Brazil | male | train |
756 | 28 | 20s | DE | Germany | male | train |
51500 | 21 | 20s | ID | Indonesia | male | train |
49349 | 32 | 30s | US | United States | female | train |
33426 | 20 | 20s | LT | Lithuania | male | train |
2211 | 27 | 20s | US | United States | female | train |
9703 | 30 | 30s | PL | Poland | male | train |
10036 | 29 | 20s | IE | Ireland | male | train |
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