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 |
|---|---|---|---|---|---|---|
351 | 31 | 30s | US | United States | male | train |
24490 | 23 | 20s | PE | Peru | male | train |
5296 | 22 | 20s | FI | Finland | male | train |
57288 | 22 | 20s | UK | United Kingdom | female | train |
22295 | 20 | 20s | PL | Poland | male | train |
23719 | 26 | 20s | US | United States | male | train |
59757 | 20 | 20s | BR | Brazil | male | train |
10162 | 29 | 20s | DE | Germany | male | train |
62705 | 11 | 10s | CG | Congo | male | train |
69061 | 38 | 30s | US | United States | male | train |
53322 | 27 | 20s | US | United States | male | train |
54679 | 19 | 10s | BR | Brazil | male | train |
35813 | 20 | 20s | PL | Poland | female | train |
33316 | 23 | 20s | BR | Brazil | male | train |
21418 | 24 | 20s | FR | France | male | train |
11349 | 22 | 20s | CA | Canada | male | train |
31922 | 21 | 20s | US | United States | male | train |
5217 | 22 | 20s | CA | Canada | male | train |
31004 | 45 | 40s | UK | United Kingdom | male | train |
36752 | 24 | 20s | US | United States | male | train |
116753 | 31 | 30s | BR | Brazil | male | train |
30702 | 23 | 20s | US | United States | male | train |
8295 | 27 | 20s | US | United States | female | train |
2121 | 29 | 20s | US | United States | male | train |
4174 | 27 | 20s | UK | United Kingdom | female | train |
36364 | 23 | 20s | US | United States | male | train |
8338 | 31 | 30s | ES | Spain | male | train |
66345 | 28 | 20s | US | United States | male | train |
10458 | 24 | 20s | RU | Russia | female | train |
22173 | 18 | 10s | NL | Netherlands | female | train |
15760 | 35 | 30s | NO | Norway | male | train |
75029 | 23 | 20s | US | United States | male | train |
53487 | 20 | 20s | RU | Russia | male | train |
50780 | 21 | 20s | MX | Mexico | female | train |
89489 | 20 | 20s | BR | Brazil | male | train |
12425 | 41 | 40s | US | United States | male | train |
962 | 26 | 20s | US | United States | male | train |
32362 | 21 | 20s | AU | Australia | female | train |
18446 | 22 | 20s | RU | Russia | male | train |
91616 | 47 | 40s | UK | United Kingdom | male | train |
40434 | 25 | 20s | US | United States | male | train |
37311 | 23 | 20s | PL | Poland | male | train |
22199 | 23 | 20s | DE | Germany | male | train |
84154 | 23 | 20s | US | United States | male | train |
14694 | 30 | 30s | ES | Spain | female | train |
19811 | 23 | 20s | ES | Spain | male | train |
42049 | 17 | 10s | BR | Brazil | female | train |
103408 | 18 | 10s | ID | Indonesia | male | train |
5461 | 25 | 20s | AU | Australia | female | train |
22256 | 24 | 20s | ID | Indonesia | female | train |
2704 | 34 | 30s | US | United States | male | train |
67900 | 24 | 20s | PL | Poland | male | train |
13270 | 23 | 20s | RU | Russia | female | train |
38375 | 22 | 20s | PL | Poland | female | train |
3374 | 25 | 20s | CZ | Czech Republic | male | train |
59725 | 22 | 20s | ID | Indonesia | female | train |
2085 | 29 | 20s | JP | Japan | male | train |
12141 | 23 | 20s | PL | Poland | female | train |
29841 | 23 | 20s | TR | Turkey | male | train |
6237 | 26 | 20s | NO | Norway | male | train |
30827 | 19 | 10s | RU | Russia | male | train |
82261 | 18 | 10s | CA | Canada | male | train |
50415 | 25 | 20s | JP | Japan | female | train |
11080 | 36 | 30s | US | United States | male | train |
22807 | 31 | 30s | NL | Netherlands | male | train |
82512 | 18 | 10s | LK | Sri Lanka | male | train |
33974 | 26 | 20s | UK | United Kingdom | male | train |
39695 | 21 | 20s | PL | Poland | female | train |
6655 | 28 | 20s | US | United States | male | train |
11990 | 21 | 20s | AU | Australia | male | train |
6446 | 23 | 20s | UK | United Kingdom | female | train |
91518 | 16 | 10s | CL | Chile | male | train |
41782 | 18 | 10s | BR | Brazil | male | train |
5325 | 32 | 30s | FR | France | male | train |
71154 | 16 | 10s | PL | Poland | male | train |
47981 | 18 | 10s | PE | Peru | male | train |
71886 | 15 | 10s | BR | Brazil | male | train |
26531 | 20 | 20s | PL | Poland | male | train |
67407 | 22 | 20s | RU | Russia | male | train |
1273 | 37 | 30s | PL | Poland | male | train |
55312 | 21 | 20s | BY | Belarus | female | train |
3586 | 21 | 20s | FI | Finland | female | train |
91571 | 20 | 20s | AR | Argentina | male | train |
53279 | 28 | 20s | MA | Morocco | male | train |
54744 | 20 | 20s | FR | France | male | train |
44188 | 18 | 10s | NL | Netherlands | female | train |
1913 | 43 | 40s | US | United States | male | train |
2587 | 24 | 20s | HU | Hungary | male | train |
62856 | 18 | 10s | PL | Poland | female | train |
14053 | 35 | 30s | US | United States | male | train |
48175 | 21 | 20s | US | United States | male | train |
39863 | 20 | 20s | UZ | Uzbekistan | male | train |
22090 | 22 | 20s | US | United States | female | train |
55468 | 20 | 20s | NL | Netherlands | male | train |
7050 | 27 | 20s | PL | Poland | male | train |
17706 | 46 | 40s | JP | Japan | male | train |
2775 | 36 | 30s | CO | Colombia | male | train |
7885 | 20 | 20s | BR | Brazil | male | train |
26931 | 23 | 20s | CU | Cuba | male | train |
27894 | 20 | 20s | PL | Poland | male | train |
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