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 |
|---|---|---|---|---|---|---|
63497 | 18 | 10s | RU | Russia | male | train |
9238 | 22 | 20s | US | United States | male | train |
3615 | 25 | 20s | LV | Latvia | male | train |
51874 | 23 | 20s | US | United States | male | train |
7517 | 29 | 20s | PL | Poland | female | train |
7084 | 21 | 20s | BR | Brazil | male | train |
15719 | 30 | 30s | AU | Australia | male | train |
37845 | 32 | 30s | UK | United Kingdom | male | train |
24702 | 19 | 10s | US | United States | male | train |
17080 | 33 | 30s | NL | Netherlands | male | train |
25684 | 22 | 20s | FI | Finland | male | train |
43623 | 21 | 20s | BR | Brazil | male | train |
44492 | 18 | 10s | RO | Romania | female | train |
16584 | 22 | 20s | BR | Brazil | female | train |
22886 | 40 | 40s | VE | Venezuela | male | train |
18641 | 23 | 20s | CZ | Czech Republic | male | train |
13341 | 27 | 20s | CZ | Czech Republic | female | train |
57098 | 18 | 10s | US | United States | female | train |
8554 | 21 | 20s | NL | Netherlands | male | train |
21920 | 22 | 20s | RU | Russia | male | train |
50043 | 18 | 10s | UK | United Kingdom | male | train |
61300 | 24 | 20s | NL | Netherlands | female | train |
7272 | 22 | 20s | FI | Finland | female | train |
29575 | 34 | 30s | US | United States | female | train |
21670 | 21 | 20s | US | United States | male | train |
44786 | 20 | 20s | AU | Australia | female | train |
90050 | 27 | 20s | GR | Greece | male | train |
71979 | 17 | 10s | US | United States | male | train |
24476 | 22 | 20s | PL | Poland | male | train |
3131 | 31 | 30s | FR | France | male | train |
8609 | 29 | 20s | NL | Netherlands | male | train |
32802 | 22 | 20s | UK | United Kingdom | male | train |
17772 | 26 | 20s | HU | Hungary | male | train |
14952 | 37 | 30s | US | United States | male | train |
30112 | 22 | 20s | NL | Netherlands | male | train |
17150 | 22 | 20s | US | United States | female | train |
25698 | 19 | 10s | UK | United Kingdom | female | train |
70675 | 33 | 30s | MX | Mexico | male | train |
16043 | 22 | 20s | RU | Russia | female | train |
11098 | 23 | 20s | BG | Bulgaria | male | train |
17569 | 22 | 20s | DE | Germany | male | train |
8014 | 22 | 20s | PL | Poland | female | train |
19176 | 34 | 30s | PL | Poland | male | train |
55457 | 40 | 40s | DE | Germany | male | train |
9739 | 19 | 10s | US | United States | male | train |
1527 | 43 | 40s | US | United States | male | train |
35577 | 49 | 40s | BR | Brazil | male | train |
17118 | 26 | 20s | NL | Netherlands | male | train |
76189 | 24 | 20s | JP | Japan | female | train |
69993 | 49 | 40s | UK | United Kingdom | male | train |
18287 | 22 | 20s | UK | United Kingdom | male | train |
12315 | 23 | 20s | FI | Finland | male | train |
12101 | 23 | 20s | UK | United Kingdom | male | train |
34925 | 23 | 20s | US | United States | male | train |
40236 | 14 | 10s | BR | Brazil | male | train |
9118 | 20 | 20s | US | United States | female | train |
48983 | 48 | 40s | IL | Israel | male | train |
15552 | 18 | 10s | DE | Germany | male | train |
6870 | 24 | 20s | CA | Canada | male | train |
97383 | 19 | 10s | CO | Colombia | male | train |
69886 | 15 | 10s | US | United States | female | train |
59897 | 47 | 40s | US | United States | male | train |
27098 | 24 | 20s | RU | Russia | female | train |
16880 | 31 | 30s | DE | Germany | male | train |
59287 | 18 | 10s | US | United States | male | train |
23281 | 21 | 20s | BR | Brazil | male | train |
37213 | 22 | 20s | PL | Poland | male | train |
54953 | 21 | 20s | CL | Chile | female | train |
1495 | 28 | 20s | UK | United Kingdom | male | train |
101044 | 27 | 20s | SG | Singapore | male | train |
43183 | 20 | 20s | EE | Estonia | male | train |
13072 | 17 | 10s | DE | Germany | female | train |
54150 | 18 | 10s | TH | Thailand | male | train |
4079 | 27 | 20s | TR | Turkey | female | train |
1903 | 27 | 20s | BR | Brazil | male | train |
21808 | 21 | 20s | AU | Australia | male | train |
12828 | 22 | 20s | RU | Russia | male | train |
24564 | 21 | 20s | AU | Australia | male | train |
22296 | 25 | 20s | MX | Mexico | male | train |
73350 | 18 | 10s | PL | Poland | female | train |
15971 | 22 | 20s | PL | Poland | female | train |
68838 | 15 | 10s | BR | Brazil | male | train |
8954 | 27 | 20s | FR | France | male | train |
20375 | 22 | 20s | RU | Russia | male | train |
4663 | 32 | 30s | BR | Brazil | male | train |
12879 | 23 | 20s | CZ | Czech Republic | male | train |
68717 | 23 | 20s | BR | Brazil | female | train |
32096 | 35 | 30s | AU | Australia | male | train |
11767 | 32 | 30s | RU | Russia | male | train |
9021 | 25 | 20s | CA | Canada | male | train |
11300 | 22 | 20s | SE | Sweden | male | train |
1510 | 24 | 20s | UK | United Kingdom | male | train |
49764 | 23 | 20s | DE | Germany | male | train |
39777 | 22 | 20s | HU | Hungary | female | train |
22581 | 27 | 20s | MX | Mexico | male | train |
22475 | 19 | 10s | NL | Netherlands | male | train |
14492 | 33 | 30s | PL | Poland | male | train |
7648 | 24 | 20s | DE | Germany | female | train |
10239 | 37 | 30s | US | United States | male | train |
30843 | 35 | 30s | US | United States | male | train |
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