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 |
|---|---|---|---|---|---|---|
28164 | 21 | 20s | CH | Switzerland | male | train |
39874 | 21 | 20s | KZ | Kazakhstan | male | train |
53699 | 17 | 10s | PL | Poland | male | train |
15113 | 35 | 30s | US | United States | male | train |
20063 | 21 | 20s | CO | Colombia | female | train |
23674 | 20 | 20s | UA | Ukraine | female | train |
12288 | 24 | 20s | US | United States | female | train |
66172 | 20 | 20s | US | United States | male | train |
47605 | 16 | 10s | PL | Poland | female | train |
34515 | 19 | 10s | PL | Poland | female | train |
10858 | 22 | 20s | DE | Germany | male | train |
59698 | 18 | 10s | BR | Brazil | female | train |
36734 | 18 | 10s | UK | United Kingdom | female | train |
4155 | 28 | 20s | NO | Norway | male | train |
19633 | 17 | 10s | HK | Hong Kong | male | train |
38122 | 19 | 10s | RU | Russia | male | train |
64304 | 16 | 10s | BR | Brazil | female | train |
890 | 39 | 30s | SE | Sweden | male | train |
33439 | 23 | 20s | NO | Norway | male | train |
23331 | 21 | 20s | JP | Japan | female | train |
51183 | 22 | 20s | ID | Indonesia | female | train |
15370 | 31 | 30s | RU | Russia | male | train |
15679 | 24 | 20s | PL | Poland | female | train |
10491 | 27 | 20s | UZ | Uzbekistan | male | train |
80743 | 20 | 20s | BR | Brazil | male | train |
1971 | 25 | 20s | US | United States | male | train |
16975 | 23 | 20s | BR | Brazil | female | train |
27498 | 36 | 30s | US | United States | male | train |
56992 | 18 | 10s | CA | Canada | male | train |
13968 | 28 | 20s | RU | Russia | male | train |
34214 | 21 | 20s | PL | Poland | male | train |
33563 | 22 | 20s | NL | Netherlands | male | train |
46805 | 23 | 20s | UK | United Kingdom | male | train |
12792 | 27 | 20s | US | United States | male | train |
60488 | 17 | 10s | BR | Brazil | female | train |
7924 | 24 | 20s | US | United States | male | train |
16496 | 19 | 10s | BR | Brazil | male | train |
27574 | 19 | 10s | RU | Russia | male | train |
26111 | 44 | 40s | US | United States | male | train |
7088 | 22 | 20s | US | United States | female | train |
31995 | 23 | 20s | PL | Poland | female | train |
37119 | 19 | 10s | BR | Brazil | male | train |
39514 | 19 | 10s | US | United States | male | train |
27357 | 21 | 20s | DE | Germany | male | train |
20180 | 23 | 20s | BR | Brazil | male | train |
26685 | 25 | 20s | DE | Germany | male | train |
55252 | 22 | 20s | PL | Poland | male | train |
64410 | 17 | 10s | DE | Germany | male | train |
16823 | 24 | 20s | HR | Croatia | male | train |
17066 | 22 | 20s | HR | Croatia | male | train |
5767 | 33 | 30s | IT | Italy | male | train |
84377 | 22 | 20s | BR | Brazil | male | train |
17103 | 23 | 20s | US | United States | male | train |
74776 | 23 | 20s | MX | Mexico | female | train |
35038 | 18 | 10s | BR | Brazil | male | train |
24728 | 37 | 30s | UA | Ukraine | male | train |
31185 | 31 | 30s | BE | Belgium | male | train |
46452 | 19 | 10s | PL | Poland | male | train |
9869 | 27 | 20s | IT | Italy | male | train |
48597 | 16 | 10s | PL | Poland | female | train |
1509 | 47 | 40s | UK | United Kingdom | male | train |
53867 | 18 | 10s | RO | Romania | male | train |
25399 | 27 | 20s | MX | Mexico | male | train |
54114 | 17 | 10s | MX | Mexico | female | train |
47176 | 24 | 20s | DE | Germany | male | train |
6501 | 19 | 10s | BR | Brazil | female | train |
60275 | 24 | 20s | US | United States | male | train |
52337 | 20 | 20s | HU | Hungary | female | train |
2370 | 29 | 20s | NL | Netherlands | male | train |
36595 | 22 | 20s | SE | Sweden | male | train |
49934 | 22 | 20s | PL | Poland | male | train |
30452 | 24 | 20s | JP | Japan | male | train |
11429 | 21 | 20s | DE | Germany | female | train |
414 | 23 | 20s | US | United States | male | train |
56692 | 20 | 20s | US | United States | female | train |
86201 | 18 | 10s | UK | United Kingdom | male | train |
72283 | 18 | 10s | US | United States | male | train |
3867 | 33 | 30s | IT | Italy | male | train |
7015 | 21 | 20s | PL | Poland | male | train |
16172 | 25 | 20s | FR | France | male | train |
12566 | 19 | 10s | BR | Brazil | female | train |
17704 | 25 | 20s | RO | Romania | female | train |
7679 | 42 | 40s | NL | Netherlands | male | train |
15953 | 32 | 30s | NZ | New Zealand | female | train |
31188 | 25 | 20s | PL | Poland | female | train |
41086 | 19 | 10s | UK | United Kingdom | male | train |
28451 | 21 | 20s | MX | Mexico | female | train |
1666 | 25 | 20s | US | United States | male | train |
12104 | 32 | 30s | US | United States | male | train |
17519 | 28 | 20s | NL | Netherlands | male | train |
30798 | 16 | 10s | PL | Poland | female | train |
18502 | 19 | 10s | BR | Brazil | male | train |
83631 | 17 | 10s | RU | Russia | female | train |
9617 | 21 | 20s | IE | Ireland | female | train |
2818 | 29 | 20s | FR | France | male | train |
17123 | 20 | 20s | BR | Brazil | female | train |
13654 | 17 | 10s | AU | Australia | male | train |
47423 | 17 | 10s | BR | Brazil | female | train |
57345 | 21 | 20s | DE | Germany | male | train |
60165 | 21 | 20s | NL | Netherlands | male | train |
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