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 |
|---|---|---|---|---|---|---|
77500 | 21 | 20s | PL | Poland | male | train |
6888 | 17 | 10s | US | United States | male | train |
7299 | 25 | 20s | US | United States | male | train |
9687 | 19 | 10s | SE | Sweden | male | train |
19596 | 24 | 20s | UK | United Kingdom | male | train |
96997 | 18 | 10s | PY | Paraguay | male | train |
10576 | 22 | 20s | PL | Poland | female | train |
39535 | 22 | 20s | US | United States | male | train |
65809 | 20 | 20s | BR | Brazil | male | train |
43301 | 20 | 20s | PL | Poland | female | train |
8975 | 27 | 20s | ES | Spain | male | train |
8514 | 21 | 20s | BR | Brazil | female | train |
25560 | 41 | 40s | BE | Belgium | male | train |
7355 | 23 | 20s | US | United States | male | train |
8303 | 27 | 20s | NO | Norway | female | train |
42318 | 22 | 20s | UK | United Kingdom | female | train |
57471 | 17 | 10s | UK | United Kingdom | male | train |
702 | 47 | 40s | JP | Japan | female | train |
6363 | 36 | 30s | CO | Colombia | male | train |
24287 | 26 | 20s | VE | Venezuela | male | train |
54075 | 19 | 10s | NL | Netherlands | male | train |
10791 | 24 | 20s | DE | Germany | female | train |
632 | 23 | 20s | US | United States | female | train |
45650 | 15 | 10s | US | United States | female | train |
103011 | 17 | 10s | US | United States | female | train |
3069 | 22 | 20s | US | United States | female | train |
24917 | 22 | 20s | IE | Ireland | male | train |
10744 | 27 | 20s | CL | Chile | male | train |
3386 | 23 | 20s | US | United States | female | train |
27298 | 33 | 30s | US | United States | female | train |
11522 | 19 | 10s | UK | United Kingdom | male | train |
13673 | 26 | 20s | RU | Russia | male | train |
55172 | 21 | 20s | US | United States | female | train |
23011 | 21 | 20s | UA | Ukraine | male | train |
31256 | 21 | 20s | DE | Germany | male | train |
6131 | 27 | 20s | BR | Brazil | male | train |
9453 | 32 | 30s | RU | Russia | male | train |
16384 | 27 | 20s | FR | France | female | train |
10279 | 29 | 20s | US | United States | female | train |
3636 | 30 | 30s | PT | Portugal | male | train |
33266 | 21 | 20s | RU | Russia | male | train |
34719 | 20 | 20s | BR | Brazil | male | train |
31590 | 19 | 10s | BR | Brazil | female | train |
49910 | 26 | 20s | RU | Russia | male | train |
42977 | 18 | 10s | PL | Poland | male | train |
47519 | 19 | 10s | PL | Poland | female | train |
5084 | 29 | 20s | HR | Croatia | female | train |
94336 | 28 | 20s | US | United States | male | train |
22333 | 22 | 20s | UK | United Kingdom | female | train |
117461 | 21 | 20s | UK | United Kingdom | male | train |
52128 | 18 | 10s | IT | Italy | male | train |
16073 | 21 | 20s | NZ | New Zealand | male | train |
19699 | 21 | 20s | FI | Finland | male | train |
26486 | 20 | 20s | US | United States | female | train |
10689 | 23 | 20s | MX | Mexico | male | train |
34209 | 27 | 20s | RU | Russia | male | train |
34347 | 23 | 20s | FI | Finland | male | train |
2118 | 23 | 20s | UK | United Kingdom | female | train |
13888 | 28 | 20s | FR | France | male | train |
15595 | 21 | 20s | PL | Poland | female | train |
10017 | 28 | 20s | CZ | Czech Republic | male | train |
60185 | 17 | 10s | US | United States | male | train |
3520 | 28 | 20s | US | United States | female | train |
26487 | 19 | 10s | BR | Brazil | male | train |
16705 | 38 | 30s | UK | United Kingdom | male | train |
39766 | 22 | 20s | PE | Peru | male | train |
30525 | 19 | 10s | PL | Poland | male | train |
15032 | 23 | 20s | UK | United Kingdom | male | train |
21769 | 23 | 20s | NL | Netherlands | male | train |
8770 | 23 | 20s | CZ | Czech Republic | male | train |
54188 | 17 | 10s | BR | Brazil | male | train |
58461 | 19 | 10s | CA | Canada | male | train |
63538 | 17 | 10s | ID | Indonesia | male | train |
2883 | 23 | 20s | US | United States | male | train |
72960 | 17 | 10s | PL | Poland | female | train |
59231 | 17 | 10s | BR | Brazil | female | train |
81660 | 20 | 20s | ID | Indonesia | female | train |
7779 | 20 | 20s | TR | Turkey | male | train |
1696 | 22 | 20s | US | United States | female | train |
59560 | 26 | 20s | RS | Serbia | female | train |
4683 | 21 | 20s | FI | Finland | male | train |
53752 | 18 | 10s | PL | Poland | male | train |
2915 | 30 | 30s | US | United States | male | train |
56291 | 24 | 20s | PL | Poland | male | train |
676 | 26 | 20s | CX | Christmas Island | female | train |
81325 | 23 | 20s | US | United States | male | train |
6223 | 26 | 20s | CZ | Czech Republic | male | train |
32758 | 21 | 20s | ES | Spain | female | train |
7603 | 29 | 20s | CA | Canada | male | train |
21197 | 22 | 20s | US | United States | female | train |
25200 | 31 | 30s | ME | Montenegro | male | train |
8948 | 22 | 20s | DE | Germany | male | train |
6611 | 44 | 40s | US | United States | male | train |
305 | 35 | 30s | UK | United Kingdom | male | train |
15339 | 26 | 20s | CA | Canada | male | train |
64969 | 18 | 10s | BR | Brazil | female | train |
21391 | 21 | 20s | US | United States | male | train |
1038 | 32 | 30s | BY | Belarus | male | train |
40022 | 22 | 20s | DE | Germany | female | train |
113830 | 16 | 10s | BY | Belarus | male | train |
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