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 |
|---|---|---|---|---|---|---|
53204 | 17 | 10s | BR | Brazil | male | train |
15054 | 19 | 10s | DE | Germany | female | train |
24209 | 32 | 30s | UK | United Kingdom | female | train |
18840 | 24 | 20s | NO | Norway | female | train |
39030 | 21 | 20s | ID | Indonesia | female | train |
6464 | 20 | 20s | CA | Canada | female | train |
41932 | 43 | 40s | DE | Germany | male | train |
9273 | 21 | 20s | PL | Poland | male | train |
11575 | 33 | 30s | US | United States | male | train |
33129 | 27 | 20s | DE | Germany | female | train |
15241 | 22 | 20s | ES | Spain | male | train |
10026 | 23 | 20s | SK | Slovakia | male | train |
45136 | 21 | 20s | BE | Belgium | male | train |
17955 | 21 | 20s | UK | United Kingdom | male | train |
35939 | 21 | 20s | BR | Brazil | male | train |
67134 | 25 | 20s | UK | United Kingdom | male | train |
21239 | 24 | 20s | DE | Germany | male | train |
51563 | 19 | 10s | US | United States | male | train |
89989 | 15 | 10s | BR | Brazil | male | train |
4555 | 49 | 40s | US | United States | male | train |
17560 | 27 | 20s | US | United States | male | train |
49593 | 19 | 10s | NL | Netherlands | female | train |
23146 | 37 | 30s | CA | Canada | male | train |
12508 | 25 | 20s | DE | Germany | female | train |
15317 | 30 | 30s | DE | Germany | male | train |
88767 | 18 | 10s | BR | Brazil | male | train |
2954 | 23 | 20s | UK | United Kingdom | female | train |
507 | 28 | 20s | FI | Finland | male | train |
2488 | 22 | 20s | DE | Germany | male | train |
20355 | 30 | 30s | NO | Norway | male | train |
11347 | 23 | 20s | CZ | Czech Republic | female | train |
58441 | 13 | 10s | HR | Croatia | male | train |
70751 | 16 | 10s | PL | Poland | female | train |
76268 | 24 | 20s | SI | Slovenia | female | train |
39092 | 19 | 10s | FR | France | female | train |
48490 | 18 | 10s | AU | Australia | male | train |
71657 | 20 | 20s | US | United States | male | train |
51670 | 19 | 10s | RU | Russia | female | train |
25838 | 22 | 20s | DE | Germany | male | train |
68842 | 15 | 10s | LT | Lithuania | male | train |
40153 | 21 | 20s | PL | Poland | female | train |
5863 | 25 | 20s | JP | Japan | female | train |
26966 | 23 | 20s | ID | Indonesia | female | train |
732 | 29 | 20s | US | United States | male | train |
96670 | 15 | 10s | BR | Brazil | male | train |
2254 | 31 | 30s | AU | Australia | female | train |
32283 | 21 | 20s | CZ | Czech Republic | female | train |
29620 | 21 | 20s | UK | United Kingdom | female | train |
21061 | 26 | 20s | DE | Germany | male | train |
946 | 24 | 20s | UK | United Kingdom | male | train |
18745 | 30 | 30s | AU | Australia | male | train |
9326 | 31 | 30s | US | United States | male | train |
13867 | 23 | 20s | PL | Poland | female | train |
17502 | 20 | 20s | US | United States | male | train |
20581 | 32 | 30s | PL | Poland | female | train |
23233 | 27 | 20s | BR | Brazil | female | train |
7952 | 22 | 20s | UK | United Kingdom | male | train |
51019 | 18 | 10s | BR | Brazil | male | train |
101640 | 17 | 10s | UK | United Kingdom | male | train |
82219 | 24 | 20s | IT | Italy | female | train |
1617 | 24 | 20s | DK | Denmark | male | train |
60578 | 16 | 10s | BR | Brazil | female | train |
16643 | 24 | 20s | BR | Brazil | female | train |
19712 | 19 | 10s | DE | Germany | male | train |
33558 | 21 | 20s | US | United States | male | train |
12684 | 20 | 20s | BR | Brazil | male | train |
5922 | 25 | 20s | US | United States | male | train |
40926 | 21 | 20s | UK | United Kingdom | male | train |
82748 | 20 | 20s | RU | Russia | male | train |
15925 | 28 | 20s | US | United States | female | train |
44523 | 23 | 20s | US | United States | male | train |
38371 | 21 | 20s | RU | Russia | male | train |
79585 | 17 | 10s | BR | Brazil | female | train |
63695 | 22 | 20s | CO | Colombia | male | train |
82206 | 19 | 10s | UK | United Kingdom | male | train |
23483 | 20 | 20s | PL | Poland | male | train |
48351 | 22 | 20s | AU | Australia | male | train |
46953 | 18 | 10s | AU | Australia | male | train |
8558 | 25 | 20s | PL | Poland | male | train |
8799 | 29 | 20s | IT | Italy | male | train |
38109 | 15 | 10s | US | United States | female | train |
3717 | 23 | 20s | BR | Brazil | female | train |
31362 | 23 | 20s | PE | Peru | female | train |
31012 | 34 | 30s | RU | Russia | male | train |
4128 | 20 | 20s | US | United States | male | train |
22783 | 19 | 10s | US | United States | male | train |
61458 | 17 | 10s | PH | Philippines | male | train |
26617 | 20 | 20s | BR | Brazil | female | train |
27410 | 21 | 20s | UA | Ukraine | male | train |
28507 | 26 | 20s | VE | Venezuela | male | train |
37481 | 21 | 20s | US | United States | female | train |
7776 | 32 | 30s | US | United States | male | train |
35397 | 21 | 20s | PL | Poland | male | train |
33414 | 34 | 30s | AU | Australia | male | train |
58733 | 19 | 10s | US | United States | male | train |
9265 | 22 | 20s | BR | Brazil | male | train |
33267 | 24 | 20s | SE | Sweden | male | train |
53368 | 16 | 10s | ID | Indonesia | female | train |
37417 | 18 | 10s | RU | Russia | male | train |
32764 | 18 | 10s | US | United States | female | train |
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