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 |
|---|---|---|---|---|---|---|
2305 | 23 | 20s | NL | Netherlands | male | train |
66849 | 19 | 10s | ID | Indonesia | male | train |
91371 | 19 | 10s | BR | Brazil | male | train |
14752 | 37 | 30s | UK | United Kingdom | male | train |
34846 | 21 | 20s | US | United States | female | train |
39887 | 21 | 20s | PL | Poland | male | train |
56832 | 17 | 10s | IN | India | male | train |
56071 | 18 | 10s | BR | Brazil | male | train |
103032 | 19 | 10s | PL | Poland | male | train |
19999 | 19 | 10s | FI | Finland | male | train |
51376 | 20 | 20s | SG | Singapore | female | train |
44633 | 19 | 10s | UA | Ukraine | female | train |
53047 | 28 | 20s | UK | United Kingdom | male | train |
48566 | 22 | 20s | AR | Argentina | male | train |
114012 | 24 | 20s | US | United States | male | train |
68063 | 20 | 20s | CL | Chile | female | train |
76538 | 22 | 20s | US | United States | female | train |
32211 | 45 | 40s | UK | United Kingdom | male | train |
103618 | 18 | 10s | BR | Brazil | female | train |
1845 | 30 | 30s | PL | Poland | male | train |
6645 | 22 | 20s | AU | Australia | female | train |
45251 | 24 | 20s | ES | Spain | male | train |
53046 | 24 | 20s | ID | Indonesia | male | train |
25673 | 24 | 20s | RU | Russia | male | train |
33801 | 20 | 20s | DE | Germany | male | train |
34643 | 19 | 10s | ES | Spain | female | train |
11321 | 19 | 10s | BR | Brazil | female | train |
13529 | 25 | 20s | FR | France | male | train |
8831 | 20 | 20s | SE | Sweden | male | train |
8731 | 21 | 20s | BE | Belgium | male | train |
1473 | 33 | 30s | UK | United Kingdom | male | train |
17415 | 21 | 20s | UK | United Kingdom | male | train |
11912 | 21 | 20s | RU | Russia | male | train |
73723 | 21 | 20s | US | United States | male | train |
13039 | 39 | 30s | JP | Japan | male | train |
32094 | 25 | 20s | BR | Brazil | female | train |
53631 | 17 | 10s | PL | Poland | male | train |
10055 | 24 | 20s | LT | Lithuania | male | train |
68377 | 19 | 10s | TZ | Tanzania | female | train |
80452 | 21 | 20s | RU | Russia | male | train |
48994 | 23 | 20s | RU | Russia | male | train |
1789 | 22 | 20s | UK | United Kingdom | female | train |
5399 | 26 | 20s | FI | Finland | female | train |
31123 | 20 | 20s | TR | Turkey | female | train |
3631 | 23 | 20s | RU | Russia | female | train |
20102 | 20 | 20s | PL | Poland | male | train |
92925 | 14 | 10s | NL | Netherlands | male | train |
10893 | 25 | 20s | RU | Russia | female | train |
61826 | 38 | 30s | US | United States | male | train |
1049 | 31 | 30s | CA | Canada | male | train |
12079 | 22 | 20s | DE | Germany | male | train |
797 | 25 | 20s | CA | Canada | male | train |
29217 | 25 | 20s | BR | Brazil | male | train |
44979 | 18 | 10s | RU | Russia | female | train |
111349 | 23 | 20s | CL | Chile | male | train |
61588 | 17 | 10s | BR | Brazil | male | train |
25203 | 22 | 20s | MD | Moldova | male | train |
21494 | 32 | 30s | RU | Russia | female | train |
101434 | 23 | 20s | BR | Brazil | female | train |
3137 | 28 | 20s | TR | Turkey | male | train |
14215 | 22 | 20s | MX | Mexico | male | train |
15814 | 22 | 20s | BR | Brazil | female | train |
44918 | 21 | 20s | PT | Portugal | male | train |
14555 | 31 | 30s | NL | Netherlands | male | train |
28250 | 16 | 10s | IT | Italy | male | train |
66281 | 27 | 20s | US | United States | female | train |
4081 | 32 | 30s | JP | Japan | male | train |
47782 | 19 | 10s | PL | Poland | male | train |
8521 | 17 | 10s | FI | Finland | female | train |
53896 | 21 | 20s | PL | Poland | male | train |
2253 | 28 | 20s | FI | Finland | female | train |
36407 | 53 | 50s | DE | Germany | male | train |
32576 | 18 | 10s | BR | Brazil | male | train |
6942 | 29 | 20s | SE | Sweden | male | train |
1824 | 24 | 20s | US | United States | male | train |
9112 | 21 | 20s | US | United States | female | train |
4854 | 23 | 20s | US | United States | male | train |
65513 | 25 | 20s | US | United States | male | train |
3824 | 24 | 20s | BR | Brazil | female | train |
64402 | 18 | 10s | RU | Russia | female | train |
18798 | 62 | 60+ | US | United States | male | train |
87982 | 18 | 10s | BR | Brazil | male | train |
7324 | 26 | 20s | DE | Germany | male | train |
72354 | 25 | 20s | RO | Romania | female | train |
22009 | 19 | 10s | BR | Brazil | male | train |
7041 | 26 | 20s | RS | Serbia | male | train |
8569 | 35 | 30s | FR | France | male | train |
1149 | 39 | 30s | DE | Germany | male | train |
19930 | 29 | 20s | JP | Japan | female | train |
26515 | 26 | 20s | CO | Colombia | male | train |
34000 | 21 | 20s | DK | Denmark | male | train |
13984 | 22 | 20s | NL | Netherlands | male | train |
44129 | 21 | 20s | RU | Russia | female | train |
18009 | 25 | 20s | US | United States | male | train |
34291 | 20 | 20s | FI | Finland | female | train |
37970 | 36 | 30s | US | United States | male | train |
5016 | 29 | 20s | US | United States | female | train |
19214 | 23 | 20s | DE | Germany | male | train |
12798 | 18 | 10s | PL | Poland | female | train |
42869 | 19 | 10s | KZ | Kazakhstan | female | train |
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