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 |
|---|---|---|---|---|---|---|
36478 | 22 | 20s | UK | United Kingdom | male | train |
8896 | 30 | 30s | ES | Spain | female | train |
19992 | 24 | 20s | AT | Austria | male | train |
51440 | 19 | 10s | BE | Belgium | male | train |
28221 | 21 | 20s | PL | Poland | male | train |
18339 | 19 | 10s | US | United States | male | train |
33300 | 25 | 20s | US | United States | male | train |
57835 | 19 | 10s | AT | Austria | female | train |
9624 | 28 | 20s | US | United States | male | train |
49879 | 24 | 20s | RS | Serbia | male | train |
40520 | 18 | 10s | UK | United Kingdom | male | train |
4238 | 36 | 30s | SE | Sweden | male | train |
32282 | 18 | 10s | RU | Russia | male | train |
4997 | 21 | 20s | NO | Norway | male | train |
3060 | 24 | 20s | RU | Russia | male | train |
29921 | 25 | 20s | PT | Portugal | male | train |
10624 | 61 | 60+ | DE | Germany | male | train |
17314 | 23 | 20s | BR | Brazil | male | train |
7653 | 20 | 20s | US | United States | female | train |
51753 | 20 | 20s | US | United States | male | train |
56634 | 19 | 10s | CL | Chile | male | train |
9317 | 25 | 20s | DE | Germany | male | train |
47696 | 28 | 20s | US | United States | male | train |
71686 | 18 | 10s | ID | Indonesia | male | train |
2070 | 24 | 20s | SE | Sweden | male | train |
846 | 24 | 20s | US | United States | female | train |
30356 | 35 | 30s | US | United States | female | train |
26056 | 23 | 20s | US | United States | female | train |
72130 | 18 | 10s | AU | Australia | male | train |
26116 | 20 | 20s | BR | Brazil | male | train |
3521 | 23 | 20s | IL | Israel | male | train |
37808 | 25 | 20s | US | United States | male | train |
720 | 31 | 30s | DE | Germany | male | train |
39668 | 23 | 20s | UK | United Kingdom | male | train |
3704 | 27 | 20s | PL | Poland | female | train |
18886 | 23 | 20s | MX | Mexico | female | train |
1117 | 27 | 20s | AU | Australia | male | train |
47790 | 22 | 20s | DE | Germany | female | train |
58501 | 21 | 20s | NO | Norway | female | train |
42842 | 26 | 20s | NL | Netherlands | male | train |
63153 | 21 | 20s | BR | Brazil | female | train |
22120 | 31 | 30s | ES | Spain | male | train |
8816 | 24 | 20s | HU | Hungary | male | train |
31202 | 21 | 20s | US | United States | male | train |
73117 | 23 | 20s | JP | Japan | male | train |
21613 | 20 | 20s | UK | United Kingdom | male | train |
21415 | 21 | 20s | DE | Germany | male | train |
14675 | 25 | 20s | FR | France | male | train |
9256 | 31 | 30s | US | United States | male | train |
9510 | 23 | 20s | HR | Croatia | male | train |
74492 | 23 | 20s | BR | Brazil | male | train |
38188 | 22 | 20s | UK | United Kingdom | female | train |
60443 | 18 | 10s | CH | Switzerland | female | train |
35264 | 24 | 20s | NZ | New Zealand | male | train |
7349 | 37 | 30s | FR | France | male | train |
51209 | 16 | 10s | BG | Bulgaria | female | train |
70541 | 14 | 10s | TR | Turkey | female | train |
45912 | 15 | 10s | US | United States | male | train |
5252 | 23 | 20s | UK | United Kingdom | female | train |
36414 | 21 | 20s | US | United States | male | train |
31270 | 20 | 20s | UK | United Kingdom | male | train |
5404 | 22 | 20s | US | United States | male | train |
52306 | 15 | 10s | BR | Brazil | male | train |
9997 | 23 | 20s | BR | Brazil | female | train |
37885 | 35 | 30s | AU | Australia | male | train |
47888 | 21 | 20s | US | United States | male | train |
55282 | 19 | 10s | EE | Estonia | female | train |
39458 | 18 | 10s | US | United States | female | train |
19447 | 18 | 10s | PL | Poland | female | train |
1337 | 25 | 20s | FI | Finland | male | train |
18086 | 22 | 20s | AR | Argentina | female | train |
59612 | 17 | 10s | BR | Brazil | male | train |
54109 | 24 | 20s | US | United States | male | train |
102925 | 23 | 20s | BR | Brazil | male | train |
31118 | 24 | 20s | BE | Belgium | male | train |
19001 | 28 | 20s | US | United States | male | train |
84742 | 17 | 10s | BE | Belgium | female | train |
100495 | 28 | 20s | CA | Canada | female | train |
33950 | 20 | 20s | RU | Russia | male | train |
73615 | 21 | 20s | PL | Poland | female | train |
17859 | 27 | 20s | EE | Estonia | female | train |
54201 | 20 | 20s | RU | Russia | male | train |
5482 | 25 | 20s | ID | Indonesia | male | train |
58183 | 17 | 10s | PL | Poland | female | train |
7274 | 24 | 20s | NL | Netherlands | male | train |
42196 | 15 | 10s | US | United States | male | train |
20702 | 32 | 30s | AR | Argentina | female | train |
56066 | 17 | 10s | BR | Brazil | male | train |
55440 | 18 | 10s | PE | Peru | male | train |
46986 | 20 | 20s | AU | Australia | female | train |
71061 | 27 | 20s | US | United States | male | train |
23701 | 20 | 20s | CX | Christmas Island | female | train |
40093 | 23 | 20s | UK | United Kingdom | male | train |
64053 | 18 | 10s | IN | India | male | train |
7550 | 25 | 20s | NZ | New Zealand | male | train |
2133 | 43 | 40s | US | United States | male | train |
1812 | 34 | 30s | US | United States | male | train |
6802 | 23 | 20s | NO | Norway | female | train |
40082 | 21 | 20s | BR | Brazil | female | train |
14770 | 25 | 20s | US | United States | male | train |
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