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 |
|---|---|---|---|---|---|---|
29235 | 20 | 20s | FI | Finland | male | train |
50250 | 21 | 20s | RS | Serbia | male | train |
44846 | 18 | 10s | DE | Germany | male | train |
57633 | 19 | 10s | UK | United Kingdom | male | train |
44156 | 22 | 20s | PL | Poland | female | train |
69547 | 20 | 20s | BR | Brazil | male | train |
30898 | 21 | 20s | PL | Poland | male | train |
9658 | 27 | 20s | BR | Brazil | female | train |
10505 | 32 | 30s | NZ | New Zealand | male | train |
20475 | 19 | 10s | BR | Brazil | male | train |
23322 | 25 | 20s | US | United States | male | train |
35612 | 23 | 20s | CL | Chile | female | train |
31690 | 28 | 20s | RU | Russia | male | train |
4844 | 27 | 20s | FI | Finland | male | train |
54215 | 17 | 10s | PL | Poland | female | train |
24281 | 25 | 20s | MX | Mexico | male | train |
694 | 25 | 20s | IL | Israel | male | train |
31735 | 19 | 10s | PL | Poland | male | train |
2187 | 24 | 20s | PL | Poland | male | train |
13906 | 23 | 20s | US | United States | female | train |
110 | 28 | 20s | SE | Sweden | male | train |
1003 | 27 | 20s | NL | Netherlands | male | train |
16046 | 18 | 10s | BR | Brazil | female | train |
116154 | 21 | 20s | PL | Poland | female | train |
110444 | 25 | 20s | US | United States | female | train |
34067 | 21 | 20s | RU | Russia | male | train |
39174 | 28 | 20s | UA | Ukraine | male | train |
51117 | 23 | 20s | RU | Russia | male | train |
84672 | 27 | 20s | HR | Croatia | male | train |
31944 | 20 | 20s | UK | United Kingdom | male | train |
10174 | 24 | 20s | US | United States | female | train |
3921 | 29 | 20s | CA | Canada | male | train |
38444 | 19 | 10s | CA | Canada | male | train |
46776 | 23 | 20s | AR | Argentina | male | train |
34453 | 22 | 20s | IT | Italy | female | train |
14417 | 20 | 20s | NO | Norway | male | train |
5341 | 31 | 30s | BR | Brazil | male | train |
23454 | 20 | 20s | PH | Philippines | female | train |
13107 | 23 | 20s | RU | Russia | male | train |
21342 | 23 | 20s | US | United States | male | train |
7152 | 23 | 20s | PL | Poland | male | train |
19262 | 27 | 20s | NL | Netherlands | male | train |
4936 | 43 | 40s | ES | Spain | male | train |
38915 | 20 | 20s | DE | Germany | male | train |
39259 | 19 | 10s | IR | Iran | male | train |
2814 | 26 | 20s | US | United States | male | train |
2209 | 30 | 30s | JP | Japan | male | train |
6969 | 24 | 20s | CO | Colombia | male | train |
6933 | 36 | 30s | DE | Germany | male | train |
89149 | 29 | 20s | UK | United Kingdom | male | train |
1938 | 26 | 20s | IT | Italy | male | train |
15990 | 23 | 20s | NL | Netherlands | male | train |
22142 | 20 | 20s | TR | Turkey | female | train |
35569 | 20 | 20s | PL | Poland | male | train |
46276 | 40 | 40s | US | United States | female | train |
63798 | 18 | 10s | PL | Poland | male | train |
59228 | 20 | 20s | DE | Germany | male | train |
17690 | 18 | 10s | DE | Germany | male | train |
9198 | 29 | 20s | PL | Poland | male | train |
54259 | 19 | 10s | BR | Brazil | male | train |
45549 | 19 | 10s | DK | Denmark | male | train |
50324 | 20 | 20s | US | United States | male | train |
22386 | 52 | 50s | AU | Australia | male | train |
44208 | 22 | 20s | PL | Poland | female | train |
33211 | 20 | 20s | IT | Italy | male | train |
17479 | 24 | 20s | AU | Australia | male | train |
30412 | 25 | 20s | PL | Poland | female | train |
4278 | 25 | 20s | US | United States | female | train |
24951 | 23 | 20s | SK | Slovakia | female | train |
46082 | 20 | 20s | BR | Brazil | female | train |
8589 | 23 | 20s | PL | Poland | male | train |
68518 | 12 | 10s | BR | Brazil | female | train |
33208 | 21 | 20s | US | United States | male | train |
55543 | 18 | 10s | BR | Brazil | male | train |
1405 | 23 | 20s | UK | United Kingdom | female | train |
76795 | 19 | 10s | PL | Poland | male | train |
70588 | 19 | 10s | ID | Indonesia | male | train |
36204 | 25 | 20s | DE | Germany | male | train |
24738 | 21 | 20s | DE | Germany | male | train |
12601 | 36 | 30s | UK | United Kingdom | male | train |
4566 | 27 | 20s | US | United States | male | train |
69851 | 37 | 30s | ES | Spain | male | train |
423 | 34 | 30s | US | United States | male | train |
46514 | 27 | 20s | RU | Russia | male | train |
56474 | 20 | 20s | UK | United Kingdom | male | train |
47299 | 21 | 20s | US | United States | male | train |
17575 | 23 | 20s | RU | Russia | male | train |
11059 | 21 | 20s | SE | Sweden | male | train |
10595 | 23 | 20s | NL | Netherlands | male | train |
43896 | 21 | 20s | US | United States | male | train |
40991 | 29 | 20s | US | United States | male | train |
31861 | 18 | 10s | PL | Poland | male | train |
58134 | 26 | 20s | BR | Brazil | female | train |
25199 | 19 | 10s | PL | Poland | male | train |
45583 | 22 | 20s | US | United States | male | train |
61237 | 15 | 10s | US | United States | female | train |
6346 | 21 | 20s | US | United States | male | train |
24686 | 27 | 20s | NL | Netherlands | male | train |
90902 | 18 | 10s | NL | Netherlands | female | train |
42003 | 17 | 10s | PL | Poland | male | train |
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