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 |
|---|---|---|---|---|---|---|
8341 | 30 | 30s | NL | Netherlands | male | train |
30459 | 18 | 10s | HU | Hungary | female | train |
26359 | 19 | 10s | SE | Sweden | male | train |
1674 | 22 | 20s | NL | Netherlands | female | train |
38940 | 21 | 20s | BR | Brazil | male | train |
2609 | 27 | 20s | UK | United Kingdom | male | train |
24413 | 20 | 20s | UA | Ukraine | male | train |
8233 | 25 | 20s | UK | United Kingdom | female | train |
27112 | 22 | 20s | BR | Brazil | female | train |
67328 | 27 | 20s | US | United States | female | train |
22233 | 22 | 20s | PL | Poland | female | train |
30266 | 24 | 20s | CA | Canada | female | train |
759 | 22 | 20s | TH | Thailand | female | train |
3803 | 27 | 20s | US | United States | male | train |
52538 | 20 | 20s | BR | Brazil | female | train |
14743 | 23 | 20s | PL | Poland | female | train |
31823 | 21 | 20s | PL | Poland | male | train |
22078 | 21 | 20s | BR | Brazil | male | train |
44026 | 22 | 20s | RU | Russia | male | train |
74511 | 23 | 20s | BR | Brazil | male | train |
37623 | 19 | 10s | LV | Latvia | male | train |
27532 | 22 | 20s | BE | Belgium | male | train |
82107 | 26 | 20s | US | United States | female | train |
42799 | 20 | 20s | PL | Poland | male | train |
57203 | 19 | 10s | BY | Belarus | male | train |
5413 | 29 | 20s | BR | Brazil | male | train |
2896 | 31 | 30s | BR | Brazil | female | train |
887 | 35 | 30s | FR | France | male | train |
37839 | 17 | 10s | EH | Western Sahara | male | train |
12119 | 28 | 20s | RO | Romania | male | train |
44256 | 17 | 10s | PL | Poland | male | train |
8551 | 29 | 20s | BR | Brazil | female | train |
35857 | 23 | 20s | AU | Australia | male | train |
17285 | 22 | 20s | BR | Brazil | male | train |
23044 | 44 | 40s | US | United States | male | train |
44185 | 22 | 20s | PL | Poland | male | train |
64795 | 22 | 20s | PL | Poland | female | train |
11974 | 22 | 20s | UK | United Kingdom | male | train |
33849 | 21 | 20s | VE | Venezuela | female | train |
17213 | 24 | 20s | PL | Poland | female | train |
32127 | 31 | 30s | ES | Spain | male | train |
103483 | 21 | 20s | US | United States | female | train |
1731 | 28 | 20s | US | United States | male | train |
5509 | 30 | 30s | RU | Russia | male | train |
17034 | 30 | 30s | US | United States | male | train |
24131 | 32 | 30s | UK | United Kingdom | male | train |
4471 | 22 | 20s | UK | United Kingdom | male | train |
54245 | 23 | 20s | BR | Brazil | female | train |
11618 | 24 | 20s | SE | Sweden | male | train |
78512 | 16 | 10s | BR | Brazil | male | train |
23450 | 23 | 20s | BR | Brazil | female | train |
20997 | 20 | 20s | BR | Brazil | male | train |
32702 | 31 | 30s | UK | United Kingdom | male | train |
11828 | 26 | 20s | AR | Argentina | male | train |
98955 | 19 | 10s | RS | Serbia | male | train |
25532 | 22 | 20s | SE | Sweden | male | train |
1732 | 28 | 20s | RU | Russia | male | train |
44938 | 31 | 30s | CA | Canada | female | train |
73184 | 20 | 20s | BG | Bulgaria | male | train |
27992 | 23 | 20s | RU | Russia | female | train |
17883 | 21 | 20s | AU | Australia | male | train |
216 | 26 | 20s | SE | Sweden | male | train |
3210 | 30 | 30s | DE | Germany | male | train |
24555 | 23 | 20s | CL | Chile | male | train |
34973 | 18 | 10s | PL | Poland | male | train |
73441 | 17 | 10s | AU | Australia | male | train |
47858 | 24 | 20s | US | United States | male | train |
10895 | 30 | 30s | US | United States | male | train |
43350 | 19 | 10s | DE | Germany | male | train |
51980 | 21 | 20s | US | United States | male | train |
86636 | 19 | 10s | CA | Canada | male | train |
5470 | 22 | 20s | US | United States | male | train |
23094 | 30 | 30s | AT | Austria | male | train |
67782 | 21 | 20s | BR | Brazil | female | train |
29554 | 23 | 20s | UK | United Kingdom | male | train |
45137 | 17 | 10s | DE | Germany | female | train |
43962 | 18 | 10s | NZ | New Zealand | male | train |
99276 | 37 | 30s | US | United States | female | train |
78462 | 20 | 20s | BR | Brazil | male | train |
81238 | 20 | 20s | ID | Indonesia | male | train |
24171 | 40 | 40s | FR | France | male | train |
19542 | 25 | 20s | NL | Netherlands | male | train |
44547 | 20 | 20s | PL | Poland | female | train |
61225 | 19 | 10s | CZ | Czech Republic | male | train |
71318 | 18 | 10s | UA | Ukraine | female | train |
33510 | 20 | 20s | SE | Sweden | male | train |
38654 | 19 | 10s | NL | Netherlands | male | train |
71708 | 23 | 20s | IT | Italy | male | train |
61142 | 18 | 10s | US | United States | male | train |
74273 | 16 | 10s | PL | Poland | male | train |
32206 | 22 | 20s | MX | Mexico | female | train |
70005 | 28 | 20s | BR | Brazil | male | train |
71647 | 21 | 20s | US | United States | male | train |
15701 | 25 | 20s | AU | Australia | male | train |
16248 | 25 | 20s | UA | Ukraine | male | train |
99658 | 19 | 10s | DE | Germany | male | train |
71141 | 15 | 10s | MX | Mexico | female | train |
43161 | 18 | 10s | US | United States | female | train |
46966 | 18 | 10s | DE | Germany | male | train |
9769 | 26 | 20s | AT | Austria | male | train |
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