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 |
|---|---|---|---|---|---|---|
88585 | 18 | 10s | PT | Portugal | male | train |
52689 | 23 | 20s | PL | Poland | male | train |
3732 | 28 | 20s | NL | Netherlands | male | train |
54256 | 16 | 10s | BR | Brazil | female | train |
82863 | 18 | 10s | RU | Russia | male | train |
6023 | 28 | 20s | NL | Netherlands | male | train |
43763 | 24 | 20s | US | United States | male | train |
20644 | 25 | 20s | BR | Brazil | female | train |
55553 | 19 | 10s | BR | Brazil | male | train |
66272 | 18 | 10s | RO | Romania | male | train |
26493 | 28 | 20s | MX | Mexico | male | train |
21454 | 19 | 10s | PL | Poland | male | train |
67866 | 40 | 40s | SE | Sweden | male | train |
18773 | 26 | 20s | PL | Poland | male | train |
431 | 37 | 30s | UK | United Kingdom | male | train |
18860 | 22 | 20s | BR | Brazil | male | train |
7574 | 22 | 20s | UK | United Kingdom | male | train |
39124 | 20 | 20s | BR | Brazil | male | train |
19808 | 22 | 20s | US | United States | male | train |
15849 | 21 | 20s | US | United States | female | train |
3212 | 36 | 30s | UK | United Kingdom | male | train |
15245 | 21 | 20s | FI | Finland | female | train |
39087 | 23 | 20s | HR | Croatia | female | train |
31726 | 25 | 20s | PL | Poland | male | train |
11413 | 21 | 20s | PL | Poland | female | train |
10321 | 28 | 20s | SE | Sweden | female | train |
7831 | 20 | 20s | HU | Hungary | male | train |
21064 | 31 | 30s | UK | United Kingdom | male | train |
49507 | 21 | 20s | US | United States | male | train |
36373 | 25 | 20s | HR | Croatia | female | train |
71685 | 18 | 10s | NL | Netherlands | female | train |
21844 | 38 | 30s | AU | Australia | male | train |
13989 | 24 | 20s | SK | Slovakia | female | train |
39649 | 17 | 10s | PL | Poland | male | train |
39356 | 18 | 10s | US | United States | male | train |
14916 | 20 | 20s | DE | Germany | male | train |
48032 | 20 | 20s | IT | Italy | male | train |
32879 | 20 | 20s | PL | Poland | female | train |
32923 | 26 | 20s | IT | Italy | male | train |
28863 | 21 | 20s | RU | Russia | male | train |
59004 | 19 | 10s | UK | United Kingdom | male | train |
6769 | 25 | 20s | RU | Russia | male | train |
13925 | 23 | 20s | ES | Spain | male | train |
9976 | 23 | 20s | RU | Russia | male | train |
90857 | 18 | 10s | RO | Romania | male | train |
43122 | 19 | 10s | US | United States | female | train |
21901 | 21 | 20s | DK | Denmark | male | train |
19741 | 25 | 20s | AR | Argentina | male | train |
67612 | 19 | 10s | FR | France | male | train |
8296 | 23 | 20s | PL | Poland | male | train |
11383 | 22 | 20s | US | United States | female | train |
6959 | 21 | 20s | UK | United Kingdom | female | train |
96559 | 20 | 20s | US | United States | male | train |
4325 | 36 | 30s | FI | Finland | female | train |
55777 | 18 | 10s | RU | Russia | male | train |
28142 | 24 | 20s | SK | Slovakia | male | train |
21587 | 22 | 20s | DE | Germany | male | train |
55965 | 23 | 20s | AU | Australia | male | train |
63552 | 20 | 20s | ES | Spain | female | train |
55877 | 18 | 10s | DE | Germany | male | train |
46110 | 21 | 20s | RU | Russia | male | train |
38839 | 17 | 10s | BR | Brazil | male | train |
22317 | 28 | 20s | NL | Netherlands | male | train |
98 | 26 | 20s | DE | Germany | male | train |
5222 | 20 | 20s | US | United States | female | train |
48563 | 21 | 20s | NO | Norway | male | train |
12052 | 22 | 20s | DE | Germany | female | train |
7663 | 25 | 20s | SI | Slovenia | male | train |
14590 | 24 | 20s | US | United States | male | train |
13874 | 21 | 20s | BR | Brazil | male | train |
28908 | 21 | 20s | PL | Poland | male | train |
81361 | 17 | 10s | US | United States | male | train |
61144 | 19 | 10s | AT | Austria | male | train |
31909 | 22 | 20s | UK | United Kingdom | female | train |
11034 | 25 | 20s | CA | Canada | male | train |
15687 | 20 | 20s | TN | Tunisia | male | train |
36432 | 15 | 10s | NO | Norway | female | train |
56234 | 17 | 10s | BR | Brazil | male | train |
5030 | 21 | 20s | US | United States | female | train |
26307 | 20 | 20s | DE | Germany | male | train |
31250 | 26 | 20s | BR | Brazil | male | train |
53681 | 17 | 10s | MX | Mexico | male | train |
49545 | 22 | 20s | RU | Russia | male | train |
70606 | 16 | 10s | DE | Germany | female | train |
61906 | 24 | 20s | BR | Brazil | male | train |
17663 | 24 | 20s | FI | Finland | female | train |
1317 | 28 | 20s | ES | Spain | male | train |
32136 | 18 | 10s | MY | Malaysia | male | train |
63746 | 18 | 10s | DE | Germany | female | train |
4995 | 20 | 20s | US | United States | female | train |
109041 | 51 | 50s | NL | Netherlands | male | train |
15086 | 28 | 20s | FR | France | female | train |
4643 | 28 | 20s | NL | Netherlands | male | train |
9104 | 25 | 20s | MX | Mexico | male | train |
29891 | 19 | 10s | DE | Germany | male | train |
19333 | 30 | 30s | PL | Poland | male | train |
3686 | 38 | 30s | US | United States | female | train |
34108 | 16 | 10s | BR | Brazil | female | train |
25902 | 24 | 20s | BR | Brazil | male | train |
4464 | 25 | 20s | NL | Netherlands | male | train |
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