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 |
|---|---|---|---|---|---|---|
11846 | 21 | 20s | DE | Germany | female | train |
12586 | 21 | 20s | US | United States | female | train |
15712 | 21 | 20s | FI | Finland | male | train |
65463 | 19 | 10s | PL | Poland | male | train |
19090 | 32 | 30s | US | United States | male | train |
34803 | 17 | 10s | BR | Brazil | female | train |
61710 | 22 | 20s | DE | Germany | male | train |
8830 | 25 | 20s | BR | Brazil | male | train |
76113 | 27 | 20s | UK | United Kingdom | male | train |
1016 | 44 | 40s | US | United States | male | train |
10759 | 26 | 20s | PL | Poland | female | train |
36151 | 21 | 20s | DE | Germany | male | train |
15330 | 27 | 20s | US | United States | male | train |
31618 | 23 | 20s | IT | Italy | male | train |
32852 | 21 | 20s | PL | Poland | male | train |
755 | 32 | 30s | CZ | Czech Republic | male | train |
24696 | 25 | 20s | JP | Japan | male | train |
8421 | 22 | 20s | UK | United Kingdom | female | train |
36638 | 19 | 10s | BR | Brazil | male | train |
52985 | 21 | 20s | FR | France | male | train |
81727 | 25 | 20s | US | United States | female | train |
29577 | 32 | 30s | NO | Norway | male | train |
834 | 30 | 30s | US | United States | male | train |
1194 | 31 | 30s | UK | United Kingdom | female | train |
36741 | 52 | 50s | DE | Germany | male | train |
40310 | 30 | 30s | US | United States | female | train |
47373 | 29 | 20s | DE | Germany | male | train |
4305 | 30 | 30s | RU | Russia | male | train |
4096 | 34 | 30s | NL | Netherlands | male | train |
468 | 28 | 20s | UK | United Kingdom | male | train |
23854 | 24 | 20s | BR | Brazil | male | train |
46255 | 29 | 20s | FR | France | female | train |
91062 | 21 | 20s | FI | Finland | female | train |
35731 | 23 | 20s | BR | Brazil | male | train |
116842 | 23 | 20s | BR | Brazil | male | train |
12027 | 20 | 20s | UK | United Kingdom | female | train |
86624 | 41 | 40s | JP | Japan | male | train |
5436 | 22 | 20s | US | United States | male | train |
52390 | 19 | 10s | CZ | Czech Republic | female | train |
8580 | 23 | 20s | US | United States | female | train |
30420 | 18 | 10s | PL | Poland | male | train |
3084 | 25 | 20s | CH | Switzerland | male | train |
6316 | 42 | 40s | CL | Chile | male | train |
10257 | 30 | 30s | US | United States | male | train |
3887 | 30 | 30s | BR | Brazil | male | train |
90448 | 25 | 20s | PL | Poland | female | train |
59485 | 21 | 20s | ES | Spain | male | train |
5046 | 30 | 30s | HU | Hungary | male | train |
11749 | 24 | 20s | TH | Thailand | male | train |
21547 | 19 | 10s | PL | Poland | male | train |
72445 | 22 | 20s | PL | Poland | male | train |
252 | 28 | 20s | US | United States | male | train |
9880 | 22 | 20s | HK | Hong Kong | female | train |
95786 | 24 | 20s | US | United States | male | train |
4793 | 29 | 20s | US | United States | female | train |
53267 | 19 | 10s | DE | Germany | male | train |
61961 | 23 | 20s | SE | Sweden | male | train |
1581 | 32 | 30s | US | United States | male | train |
24099 | 33 | 30s | UK | United Kingdom | male | train |
31508 | 54 | 50s | UK | United Kingdom | male | train |
23142 | 36 | 30s | IT | Italy | male | train |
45570 | 17 | 10s | NL | Netherlands | female | train |
30971 | 19 | 10s | PL | Poland | female | train |
51923 | 19 | 10s | FR | France | male | train |
27804 | 23 | 20s | US | United States | female | train |
33707 | 21 | 20s | US | United States | male | train |
20969 | 24 | 20s | RU | Russia | male | train |
69545 | 32 | 30s | US | United States | male | train |
38851 | 20 | 20s | PL | Poland | female | train |
9264 | 24 | 20s | PL | Poland | male | train |
30807 | 26 | 20s | BR | Brazil | male | train |
22780 | 33 | 30s | US | United States | male | train |
61187 | 44 | 40s | GR | Greece | male | train |
42276 | 30 | 30s | UK | United Kingdom | male | train |
21094 | 25 | 20s | US | United States | male | train |
51784 | 19 | 10s | DE | Germany | female | train |
40537 | 34 | 30s | UK | United Kingdom | male | train |
48081 | 18 | 10s | BR | Brazil | male | train |
17226 | 30 | 30s | IT | Italy | male | train |
7637 | 28 | 20s | PH | Philippines | male | train |
23436 | 23 | 20s | IT | Italy | male | train |
22960 | 34 | 30s | US | United States | male | train |
87878 | 19 | 10s | NL | Netherlands | female | train |
53395 | 22 | 20s | DK | Denmark | female | train |
11087 | 26 | 20s | US | United States | male | train |
37262 | 17 | 10s | US | United States | male | train |
57480 | 17 | 10s | NI | Nicaragua | male | train |
43338 | 20 | 20s | NL | Netherlands | female | train |
20016 | 23 | 20s | TR | Turkey | male | train |
11420 | 30 | 30s | ES | Spain | male | train |
8608 | 25 | 20s | BY | Belarus | male | train |
32676 | 29 | 20s | US | United States | female | train |
62344 | 18 | 10s | CL | Chile | male | train |
63308 | 23 | 20s | BY | Belarus | male | train |
65569 | 17 | 10s | BR | Brazil | male | train |
3093 | 29 | 20s | MX | Mexico | male | train |
49967 | 31 | 30s | MX | Mexico | male | train |
46091 | 21 | 20s | RU | Russia | male | train |
11140 | 23 | 20s | SE | Sweden | male | train |
88815 | 13 | 10s | BR | Brazil | male | train |
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