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 |
|---|---|---|---|---|---|---|
60438 | 21 | 20s | HR | Croatia | female | train |
34288 | 23 | 20s | VE | Venezuela | male | train |
5139 | 25 | 20s | US | United States | male | train |
31753 | 38 | 30s | PL | Poland | male | train |
5353 | 26 | 20s | PL | Poland | male | train |
691 | 26 | 20s | MX | Mexico | male | train |
15346 | 23 | 20s | FR | France | male | train |
24860 | 25 | 20s | BR | Brazil | male | train |
4311 | 25 | 20s | UK | United Kingdom | male | train |
21737 | 26 | 20s | ES | Spain | male | train |
45373 | 21 | 20s | US | United States | male | train |
15006 | 26 | 20s | RU | Russia | male | train |
21096 | 21 | 20s | CH | Switzerland | male | train |
76949 | 17 | 10s | PL | Poland | female | train |
941 | 26 | 20s | US | United States | male | train |
2576 | 21 | 20s | US | United States | female | train |
15674 | 28 | 20s | AR | Argentina | female | train |
49624 | 19 | 10s | BR | Brazil | male | train |
63203 | 16 | 10s | BR | Brazil | female | train |
33363 | 19 | 10s | US | United States | male | train |
13949 | 28 | 20s | RU | Russia | male | train |
57282 | 18 | 10s | RU | Russia | male | train |
59097 | 22 | 20s | ES | Spain | female | train |
13891 | 27 | 20s | US | United States | male | train |
45467 | 19 | 10s | UK | United Kingdom | male | train |
50384 | 16 | 10s | PL | Poland | male | train |
77630 | 21 | 20s | ID | Indonesia | male | train |
3332 | 21 | 20s | PL | Poland | female | train |
19921 | 25 | 20s | JP | Japan | female | train |
27051 | 21 | 20s | CH | Switzerland | male | train |
27334 | 28 | 20s | BR | Brazil | male | train |
6003 | 31 | 30s | NL | Netherlands | male | train |
87350 | 17 | 10s | US | United States | female | train |
5059 | 26 | 20s | US | United States | male | train |
58398 | 22 | 20s | RU | Russia | male | train |
23503 | 27 | 20s | BY | Belarus | male | train |
35924 | 18 | 10s | PL | Poland | female | train |
6039 | 24 | 20s | FI | Finland | female | train |
7404 | 28 | 20s | AT | Austria | male | train |
43267 | 18 | 10s | BR | Brazil | male | train |
44218 | 17 | 10s | DE | Germany | male | train |
1406 | 25 | 20s | FR | France | male | train |
38834 | 25 | 20s | SE | Sweden | female | train |
2268 | 29 | 20s | CO | Colombia | male | train |
39894 | 23 | 20s | AU | Australia | male | train |
80120 | 20 | 20s | ID | Indonesia | female | train |
99993 | 15 | 10s | PL | Poland | male | train |
54371 | 21 | 20s | DE | Germany | female | train |
43643 | 22 | 20s | BG | Bulgaria | female | train |
89868 | 22 | 20s | FR | France | female | train |
26339 | 22 | 20s | MX | Mexico | male | train |
67241 | 19 | 10s | ID | Indonesia | female | train |
56 | 37 | 30s | US | United States | male | train |
708 | 33 | 30s | US | United States | male | train |
14530 | 25 | 20s | TR | Turkey | male | train |
14687 | 21 | 20s | DE | Germany | male | train |
2782 | 27 | 20s | LV | Latvia | male | train |
56129 | 21 | 20s | MX | Mexico | female | train |
86800 | 18 | 10s | RO | Romania | female | train |
26042 | 25 | 20s | IT | Italy | male | train |
25189 | 23 | 20s | MD | Moldova | male | train |
17607 | 27 | 20s | ES | Spain | male | train |
19951 | 20 | 20s | US | United States | male | train |
27950 | 45 | 40s | PL | Poland | male | train |
55962 | 21 | 20s | BR | Brazil | male | train |
10637 | 28 | 20s | SK | Slovakia | male | train |
731 | 31 | 30s | NL | Netherlands | male | train |
11711 | 27 | 20s | DE | Germany | male | train |
27761 | 20 | 20s | CA | Canada | male | train |
24215 | 27 | 20s | BR | Brazil | male | train |
55641 | 26 | 20s | MX | Mexico | male | train |
6049 | 30 | 30s | US | United States | male | train |
19898 | 24 | 20s | TR | Turkey | female | train |
28775 | 19 | 10s | ZA | South Africa | male | train |
6430 | 23 | 20s | US | United States | female | train |
3233 | 23 | 20s | AU | Australia | female | train |
561 | 34 | 30s | US | United States | male | train |
55811 | 20 | 20s | CA | Canada | female | train |
21392 | 20 | 20s | CA | Canada | male | train |
18329 | 22 | 20s | BY | Belarus | male | train |
4358 | 26 | 20s | CA | Canada | male | train |
25993 | 23 | 20s | RU | Russia | male | train |
52465 | 26 | 20s | US | United States | male | train |
38390 | 22 | 20s | US | United States | male | train |
16944 | 34 | 30s | IT | Italy | male | train |
24145 | 18 | 10s | PL | Poland | female | train |
21508 | 26 | 20s | MX | Mexico | male | train |
80370 | 17 | 10s | PT | Portugal | female | train |
595 | 25 | 20s | UK | United Kingdom | male | train |
35919 | 22 | 20s | BR | Brazil | male | train |
66667 | 17 | 10s | RU | Russia | male | train |
3442 | 30 | 30s | BR | Brazil | male | train |
50646 | 20 | 20s | AU | Australia | female | train |
56768 | 19 | 10s | US | United States | male | train |
10485 | 30 | 30s | US | United States | male | train |
6404 | 28 | 20s | HR | Croatia | female | train |
29238 | 39 | 30s | DE | Germany | male | train |
10987 | 37 | 30s | DE | Germany | male | train |
51194 | 19 | 10s | DK | Denmark | male | train |
36704 | 16 | 10s | NL | Netherlands | female | train |
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