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 |
|---|---|---|---|---|---|---|
68235 | 23 | 20s | NZ | New Zealand | male | train |
20513 | 29 | 20s | UK | United Kingdom | male | train |
13051 | 20 | 20s | BR | Brazil | male | train |
5998 | 22 | 20s | US | United States | male | train |
5142 | 29 | 20s | US | United States | male | train |
5562 | 30 | 30s | NL | Netherlands | male | train |
48714 | 19 | 10s | DE | Germany | male | train |
89924 | 21 | 20s | ID | Indonesia | male | train |
14098 | 19 | 10s | PL | Poland | male | train |
24807 | 24 | 20s | CZ | Czech Republic | male | train |
30728 | 21 | 20s | FI | Finland | female | train |
35832 | 18 | 10s | PL | Poland | male | train |
57718 | 20 | 20s | PL | Poland | male | train |
12100 | 28 | 20s | BR | Brazil | male | train |
43978 | 18 | 10s | ES | Spain | male | train |
540 | 25 | 20s | NO | Norway | male | train |
58396 | 22 | 20s | BR | Brazil | male | train |
36505 | 22 | 20s | LT | Lithuania | female | train |
37533 | 18 | 10s | PL | Poland | male | train |
925 | 39 | 30s | AU | Australia | female | train |
27690 | 23 | 20s | BY | Belarus | male | train |
14765 | 21 | 20s | BR | Brazil | female | train |
59518 | 34 | 30s | ES | Spain | male | train |
3646 | 23 | 20s | BG | Bulgaria | male | train |
23784 | 23 | 20s | PL | Poland | male | train |
62150 | 48 | 40s | DE | Germany | male | train |
61209 | 24 | 20s | RU | Russia | male | train |
49070 | 20 | 20s | FI | Finland | male | train |
32641 | 28 | 20s | US | United States | male | train |
27929 | 18 | 10s | UK | United Kingdom | female | train |
20634 | 23 | 20s | FR | France | male | train |
9547 | 31 | 30s | US | United States | male | train |
76624 | 19 | 10s | NZ | New Zealand | male | train |
42167 | 21 | 20s | US | United States | male | train |
10691 | 22 | 20s | UK | United Kingdom | female | train |
12254 | 25 | 20s | RU | Russia | male | train |
10400 | 19 | 10s | PL | Poland | male | train |
35580 | 20 | 20s | PL | Poland | male | train |
52096 | 22 | 20s | RU | Russia | male | train |
18628 | 20 | 20s | NO | Norway | male | train |
17594 | 48 | 40s | US | United States | male | train |
31763 | 34 | 30s | LU | Luxembourg | male | train |
843 | 34 | 30s | BR | Brazil | female | train |
117641 | 16 | 10s | MX | Mexico | male | train |
25041 | 21 | 20s | PL | Poland | male | train |
26372 | 19 | 10s | MX | Mexico | female | train |
3662 | 43 | 40s | NL | Netherlands | male | train |
52211 | 21 | 20s | RU | Russia | male | train |
25856 | 22 | 20s | CA | Canada | male | train |
10829 | 22 | 20s | PL | Poland | male | train |
9804 | 23 | 20s | AT | Austria | male | train |
3666 | 32 | 30s | MY | Malaysia | male | train |
20863 | 22 | 20s | GR | Greece | male | train |
17290 | 24 | 20s | CA | Canada | male | train |
56390 | 17 | 10s | AU | Australia | male | train |
17863 | 29 | 20s | DK | Denmark | male | train |
22035 | 18 | 10s | NU | Niue | male | train |
48207 | 16 | 10s | UK | United Kingdom | female | train |
26024 | 24 | 20s | AU | Australia | female | train |
23401 | 54 | 50s | US | United States | male | train |
73753 | 22 | 20s | DE | Germany | male | train |
69676 | 21 | 20s | AU | Australia | female | train |
12675 | 38 | 30s | DE | Germany | male | train |
13243 | 32 | 30s | AU | Australia | male | train |
84276 | 18 | 10s | DE | Germany | male | train |
53168 | 20 | 20s | UK | United Kingdom | male | train |
54901 | 29 | 20s | US | United States | male | train |
38433 | 23 | 20s | CL | Chile | female | train |
5641 | 22 | 20s | US | United States | female | train |
9991 | 22 | 20s | PL | Poland | female | train |
34327 | 21 | 20s | US | United States | male | train |
41032 | 37 | 30s | US | United States | male | train |
36916 | 30 | 30s | RU | Russia | female | train |
30411 | 21 | 20s | SK | Slovakia | male | train |
19370 | 31 | 30s | UK | United Kingdom | male | train |
100671 | 21 | 20s | US | United States | male | train |
46658 | 17 | 10s | US | United States | male | train |
30031 | 25 | 20s | US | United States | male | train |
30631 | 25 | 20s | EC | Ecuador | female | train |
6809 | 34 | 30s | US | United States | male | train |
11815 | 34 | 30s | AU | Australia | female | train |
24645 | 32 | 30s | CZ | Czech Republic | male | train |
20882 | 22 | 20s | NL | Netherlands | male | train |
4527 | 24 | 20s | UA | Ukraine | male | train |
36282 | 19 | 10s | IE | Ireland | male | train |
14198 | 21 | 20s | PL | Poland | female | train |
11337 | 25 | 20s | PL | Poland | female | train |
49125 | 21 | 20s | TR | Turkey | female | train |
16069 | 23 | 20s | CZ | Czech Republic | male | train |
82819 | 17 | 10s | US | United States | male | train |
15494 | 37 | 30s | PL | Poland | female | train |
33722 | 17 | 10s | CH | Switzerland | female | train |
5588 | 22 | 20s | RU | Russia | male | train |
9652 | 32 | 30s | PL | Poland | male | train |
40132 | 19 | 10s | FI | Finland | male | train |
6836 | 24 | 20s | BR | Brazil | male | train |
60820 | 18 | 10s | KZ | Kazakhstan | male | train |
9259 | 19 | 10s | FI | Finland | female | train |
2361 | 23 | 20s | US | United States | male | train |
61159 | 15 | 10s | BR | Brazil | male | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.