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 |
|---|---|---|---|---|---|---|
18919 | 26 | 20s | US | United States | male | train |
24008 | 23 | 20s | CA | Canada | female | train |
81415 | 36 | 30s | US | United States | female | train |
7851 | 24 | 20s | NL | Netherlands | male | train |
14578 | 39 | 30s | AU | Australia | male | train |
13837 | 25 | 20s | DE | Germany | male | train |
55872 | 21 | 20s | MX | Mexico | female | train |
67533 | 37 | 30s | PT | Portugal | male | train |
13094 | 34 | 30s | DE | Germany | male | train |
58225 | 18 | 10s | UK | United Kingdom | male | train |
43885 | 45 | 40s | US | United States | male | train |
56770 | 20 | 20s | PL | Poland | male | train |
4034 | 23 | 20s | DE | Germany | male | train |
21110 | 28 | 20s | US | United States | female | train |
23039 | 23 | 20s | CN | China | female | train |
52254 | 17 | 10s | CA | Canada | male | train |
31691 | 22 | 20s | PL | Poland | female | train |
46384 | 24 | 20s | US | United States | male | train |
20783 | 22 | 20s | BE | Belgium | male | train |
63105 | 16 | 10s | CA | Canada | male | train |
2487 | 23 | 20s | US | United States | male | train |
34881 | 21 | 20s | RO | Romania | female | train |
16185 | 19 | 10s | PL | Poland | male | train |
16825 | 19 | 10s | SE | Sweden | female | train |
1048 | 24 | 20s | NL | Netherlands | male | train |
21854 | 21 | 20s | DE | Germany | male | train |
14751 | 23 | 20s | US | United States | female | train |
74057 | 19 | 10s | PL | Poland | female | train |
4379 | 32 | 30s | CZ | Czech Republic | male | train |
49838 | 26 | 20s | CO | Colombia | male | train |
48795 | 23 | 20s | RU | Russia | male | train |
66202 | 15 | 10s | PH | Philippines | female | train |
2298 | 23 | 20s | UK | United Kingdom | male | train |
18849 | 22 | 20s | SG | Singapore | female | train |
37359 | 24 | 20s | ID | Indonesia | male | train |
20563 | 23 | 20s | UA | Ukraine | male | train |
67131 | 18 | 10s | UA | Ukraine | male | train |
66512 | 17 | 10s | NL | Netherlands | male | train |
61965 | 19 | 10s | BR | Brazil | female | train |
26623 | 21 | 20s | PT | Portugal | male | train |
25212 | 19 | 10s | PL | Poland | male | train |
48181 | 19 | 10s | BY | Belarus | male | train |
71624 | 18 | 10s | US | United States | male | train |
4342 | 29 | 20s | TR | Turkey | male | train |
55679 | 19 | 10s | BR | Brazil | male | train |
34203 | 20 | 20s | BR | Brazil | female | train |
8690 | 36 | 30s | UK | United Kingdom | male | train |
15767 | 21 | 20s | US | United States | female | train |
53909 | 19 | 10s | NO | Norway | male | train |
31966 | 24 | 20s | US | United States | male | train |
71038 | 18 | 10s | UK | United Kingdom | male | train |
44324 | 18 | 10s | US | United States | male | train |
48804 | 23 | 20s | TR | Turkey | male | train |
16701 | 22 | 20s | UK | United Kingdom | male | train |
16838 | 19 | 10s | NO | Norway | male | train |
10730 | 20 | 20s | US | United States | female | train |
106027 | 20 | 20s | US | United States | female | train |
10945 | 24 | 20s | SE | Sweden | male | train |
53087 | 25 | 20s | UK | United Kingdom | male | train |
33998 | 24 | 20s | FR | France | male | train |
71576 | 17 | 10s | HR | Croatia | male | train |
3192 | 27 | 20s | NO | Norway | male | train |
7742 | 22 | 20s | US | United States | female | train |
44680 | 22 | 20s | US | United States | male | train |
62184 | 1 | 10s | RU | Russia | female | train |
73204 | 30 | 30s | DE | Germany | male | train |
40809 | 40 | 40s | US | United States | male | train |
4423 | 20 | 20s | US | United States | male | train |
22209 | 19 | 10s | RU | Russia | male | train |
14393 | 26 | 20s | BG | Bulgaria | female | train |
13383 | 23 | 20s | BR | Brazil | male | train |
49217 | 21 | 20s | BR | Brazil | female | train |
67585 | 17 | 10s | PL | Poland | male | train |
75236 | 16 | 10s | BR | Brazil | male | train |
3051 | 23 | 20s | FI | Finland | male | train |
17347 | 20 | 20s | FI | Finland | male | train |
11499 | 22 | 20s | BR | Brazil | male | train |
15661 | 20 | 20s | TR | Turkey | female | train |
33929 | 19 | 10s | PL | Poland | male | train |
19269 | 21 | 20s | FI | Finland | male | train |
4777 | 26 | 20s | CZ | Czech Republic | male | train |
52508 | 26 | 20s | CZ | Czech Republic | female | train |
7957 | 30 | 30s | ES | Spain | male | train |
89535 | 24 | 20s | RS | Serbia | male | train |
5282 | 23 | 20s | UK | United Kingdom | male | train |
11587 | 28 | 20s | US | United States | female | train |
51470 | 45 | 40s | PL | Poland | male | train |
2568 | 27 | 20s | US | United States | male | train |
10889 | 23 | 20s | BR | Brazil | male | train |
45211 | 23 | 20s | PL | Poland | male | train |
51880 | 25 | 20s | NL | Netherlands | female | train |
1029 | 26 | 20s | US | United States | male | train |
107005 | 19 | 10s | CZ | Czech Republic | female | train |
23101 | 22 | 20s | BR | Brazil | male | train |
8995 | 20 | 20s | LT | Lithuania | male | train |
6247 | 22 | 20s | UK | United Kingdom | male | train |
3638 | 23 | 20s | UK | United Kingdom | male | train |
117471 | 14 | 10s | TR | Turkey | male | train |
59913 | 24 | 20s | CA | Canada | female | train |
7223 | 38 | 30s | DE | Germany | male | train |
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