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 |
|---|---|---|---|---|---|---|
14456 | 23 | 20s | NO | Norway | female | train |
42704 | 19 | 10s | BR | Brazil | female | train |
37757 | 19 | 10s | PL | Poland | male | train |
12342 | 19 | 10s | PT | Portugal | female | train |
31745 | 28 | 20s | FI | Finland | male | train |
12584 | 34 | 30s | MD | Moldova | male | train |
696 | 27 | 20s | UK | United Kingdom | male | train |
11500 | 21 | 20s | SE | Sweden | male | train |
29429 | 18 | 10s | DE | Germany | female | train |
2089 | 28 | 20s | US | United States | male | train |
5225 | 21 | 20s | US | United States | male | train |
89309 | 21 | 20s | FI | Finland | female | train |
24493 | 25 | 20s | CL | Chile | male | train |
5572 | 18 | 10s | US | United States | male | train |
3543 | 29 | 20s | DE | Germany | male | train |
14331 | 34 | 30s | NL | Netherlands | male | train |
61032 | 18 | 10s | NO | Norway | male | train |
73769 | 22 | 20s | TR | Turkey | male | train |
65537 | 17 | 10s | BR | Brazil | male | train |
24854 | 40 | 40s | US | United States | male | train |
18612 | 30 | 30s | DE | Germany | male | train |
22759 | 31 | 30s | AQ | Antarctica | female | train |
49234 | 24 | 20s | BG | Bulgaria | male | train |
1397 | 35 | 30s | DK | Denmark | male | train |
29447 | 21 | 20s | PL | Poland | male | train |
29749 | 24 | 20s | JP | Japan | male | train |
4789 | 30 | 30s | FR | France | male | train |
98666 | 24 | 20s | US | United States | male | train |
39042 | 22 | 20s | US | United States | male | train |
19859 | 21 | 20s | PL | Poland | male | train |
117888 | 18 | 10s | AR | Argentina | male | train |
28324 | 24 | 20s | RU | Russia | female | train |
68927 | 18 | 10s | PL | Poland | female | train |
24267 | 17 | 10s | BR | Brazil | male | train |
60 | 33 | 30s | UK | United Kingdom | male | train |
83456 | 20 | 20s | NL | Netherlands | male | train |
12585 | 33 | 30s | PT | Portugal | male | train |
73985 | 19 | 10s | UK | United Kingdom | female | train |
9431 | 22 | 20s | DE | Germany | male | train |
11323 | 25 | 20s | SE | Sweden | male | train |
24348 | 23 | 20s | AT | Austria | male | train |
21757 | 38 | 30s | RU | Russia | male | train |
9113 | 21 | 20s | US | United States | male | train |
64013 | 19 | 10s | RU | Russia | female | train |
11187 | 29 | 20s | RU | Russia | male | train |
47066 | 21 | 20s | IE | Ireland | male | train |
17893 | 22 | 20s | FI | Finland | female | train |
9560 | 20 | 20s | BR | Brazil | female | train |
33133 | 19 | 10s | LT | Lithuania | female | train |
44567 | 19 | 10s | CO | Colombia | male | train |
42287 | 30 | 30s | RU | Russia | male | train |
18307 | 18 | 10s | FI | Finland | male | train |
1885 | 24 | 20s | CA | Canada | female | train |
30087 | 22 | 20s | US | United States | male | train |
41658 | 22 | 20s | PL | Poland | male | train |
76117 | 21 | 20s | CO | Colombia | male | train |
7814 | 28 | 20s | DE | Germany | male | train |
5596 | 27 | 20s | FI | Finland | male | train |
605 | 25 | 20s | FI | Finland | male | train |
13650 | 39 | 30s | AR | Argentina | male | train |
33012 | 24 | 20s | US | United States | male | train |
104383 | 25 | 20s | UK | United Kingdom | male | train |
3253 | 34 | 30s | IT | Italy | male | train |
81148 | 20 | 20s | US | United States | female | train |
20158 | 21 | 20s | MD | Moldova | female | train |
26262 | 43 | 40s | UK | United Kingdom | male | train |
3940 | 24 | 20s | BR | Brazil | male | train |
13508 | 29 | 20s | RU | Russia | male | train |
8262 | 21 | 20s | CA | Canada | male | train |
13474 | 23 | 20s | HU | Hungary | male | train |
14500 | 25 | 20s | US | United States | male | train |
52885 | 20 | 20s | US | United States | male | train |
13102 | 34 | 30s | VN | Vietnam | male | train |
47 | 30 | 30s | US | United States | female | train |
15830 | 20 | 20s | US | United States | female | train |
41878 | 21 | 20s | RU | Russia | female | train |
19843 | 20 | 20s | UK | United Kingdom | female | train |
34606 | 20 | 20s | PL | Poland | female | train |
35632 | 22 | 20s | PL | Poland | male | train |
20987 | 23 | 20s | BY | Belarus | male | train |
17355 | 41 | 40s | NL | Netherlands | female | train |
18569 | 20 | 20s | PL | Poland | female | train |
57417 | 28 | 20s | PL | Poland | female | train |
10021 | 26 | 20s | PL | Poland | male | train |
71143 | 17 | 10s | US | United States | female | train |
70140 | 18 | 10s | US | United States | female | train |
43666 | 20 | 20s | US | United States | male | train |
1320 | 25 | 20s | SE | Sweden | male | train |
102325 | 22 | 20s | BR | Brazil | male | train |
12777 | 23 | 20s | ES | Spain | male | train |
51332 | 19 | 10s | BR | Brazil | male | train |
681 | 23 | 20s | UK | United Kingdom | male | train |
46896 | 24 | 20s | UA | Ukraine | male | train |
95720 | 19 | 10s | US | United States | female | train |
115093 | 32 | 30s | NO | Norway | male | train |
53377 | 20 | 20s | UK | United Kingdom | male | train |
985 | 25 | 20s | UK | United Kingdom | male | train |
65763 | 24 | 20s | UA | Ukraine | male | train |
63136 | 23 | 20s | AU | Australia | male | train |
10581 | 33 | 30s | US | United States | male | train |
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