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 |
|---|---|---|---|---|---|---|
17538 | 29 | 20s | CA | Canada | male | train |
22669 | 21 | 20s | NO | Norway | female | train |
50343 | 19 | 10s | RU | Russia | male | train |
146 | 26 | 20s | NL | Netherlands | male | train |
21848 | 25 | 20s | US | United States | female | train |
15435 | 30 | 30s | NL | Netherlands | male | train |
1813 | 26 | 20s | UK | United Kingdom | male | train |
31669 | 23 | 20s | AR | Argentina | female | train |
99255 | 21 | 20s | UK | United Kingdom | male | train |
19409 | 27 | 20s | AU | Australia | female | train |
44115 | 20 | 20s | US | United States | male | train |
28739 | 20 | 20s | DE | Germany | male | train |
43043 | 19 | 10s | PL | Poland | male | train |
8779 | 28 | 20s | BR | Brazil | male | train |
23569 | 20 | 20s | BR | Brazil | female | train |
47257 | 24 | 20s | MX | Mexico | male | train |
67753 | 19 | 10s | IT | Italy | male | train |
33127 | 24 | 20s | BY | Belarus | male | train |
16756 | 29 | 20s | UK | United Kingdom | male | train |
4098 | 26 | 20s | CZ | Czech Republic | male | train |
6832 | 25 | 20s | PL | Poland | male | train |
13686 | 23 | 20s | CL | Chile | female | train |
795 | 25 | 20s | UK | United Kingdom | male | train |
25585 | 24 | 20s | HR | Croatia | male | train |
104326 | 41 | 40s | US | United States | male | train |
45597 | 22 | 20s | US | United States | female | train |
32349 | 32 | 30s | US | United States | male | train |
65277 | 20 | 20s | UA | Ukraine | male | train |
61744 | 26 | 20s | FR | France | male | train |
115084 | 19 | 10s | DE | Germany | male | train |
101537 | 26 | 20s | US | United States | male | train |
21181 | 19 | 10s | US | United States | female | train |
44269 | 25 | 20s | US | United States | female | train |
5294 | 30 | 30s | AU | Australia | male | train |
100248 | 24 | 20s | US | United States | female | train |
32281 | 26 | 20s | PL | Poland | male | train |
3177 | 30 | 30s | US | United States | male | train |
15413 | 25 | 20s | GE | Georgia | male | train |
52761 | 20 | 20s | CA | Canada | female | train |
2180 | 25 | 20s | US | United States | male | train |
59300 | 17 | 10s | BR | Brazil | male | train |
15911 | 23 | 20s | US | United States | male | train |
3505 | 27 | 20s | AU | Australia | male | train |
82394 | 22 | 20s | LT | Lithuania | male | train |
4346 | 27 | 20s | AU | Australia | female | train |
97268 | 25 | 20s | BR | Brazil | male | train |
56060 | 18 | 10s | HR | Croatia | male | train |
30884 | 31 | 30s | US | United States | male | train |
27201 | 25 | 20s | DE | Germany | female | train |
53073 | 18 | 10s | CL | Chile | male | train |
9575 | 38 | 30s | FI | Finland | male | train |
2621 | 24 | 20s | UK | United Kingdom | male | train |
12613 | 22 | 20s | US | United States | male | train |
18198 | 28 | 20s | UK | United Kingdom | male | train |
51246 | 16 | 10s | US | United States | female | train |
31974 | 16 | 10s | FI | Finland | female | train |
29240 | 37 | 30s | DE | Germany | male | train |
22387 | 3 | 10s | NO | Norway | male | train |
20296 | 23 | 20s | US | United States | male | train |
15988 | 22 | 20s | US | United States | male | train |
23296 | 20 | 20s | BR | Brazil | male | train |
9475 | 26 | 20s | RU | Russia | male | train |
28883 | 22 | 20s | SK | Slovakia | female | train |
4617 | 23 | 20s | US | United States | female | train |
9578 | 24 | 20s | DE | Germany | male | train |
14137 | 22 | 20s | CL | Chile | female | train |
38635 | 22 | 20s | US | United States | female | train |
48733 | 20 | 20s | US | United States | male | train |
52777 | 20 | 20s | NZ | New Zealand | male | train |
49429 | 25 | 20s | CA | Canada | male | train |
19709 | 42 | 40s | UK | United Kingdom | male | train |
59244 | 19 | 10s | NO | Norway | male | train |
29810 | 20 | 20s | BY | Belarus | male | train |
1996 | 30 | 30s | BE | Belgium | male | train |
15256 | 24 | 20s | US | United States | female | train |
2686 | 21 | 20s | US | United States | male | train |
4458 | 23 | 20s | AU | Australia | male | train |
36358 | 18 | 10s | NZ | New Zealand | male | train |
12417 | 19 | 10s | DE | Germany | female | train |
15308 | 21 | 20s | BR | Brazil | male | train |
19952 | 24 | 20s | PL | Poland | male | train |
51340 | 27 | 20s | RU | Russia | male | train |
75689 | 18 | 10s | IN | India | male | train |
11260 | 23 | 20s | UK | United Kingdom | male | train |
13293 | 22 | 20s | SK | Slovakia | male | train |
21877 | 22 | 20s | SE | Sweden | female | train |
6765 | 28 | 20s | PL | Poland | female | train |
68148 | 15 | 10s | BR | Brazil | female | train |
9798 | 30 | 30s | ES | Spain | female | train |
58960 | 21 | 20s | RU | Russia | male | train |
40348 | 23 | 20s | AU | Australia | male | train |
25809 | 26 | 20s | PL | Poland | female | train |
42273 | 25 | 20s | RU | Russia | male | train |
15117 | 29 | 20s | TN | Tunisia | male | train |
20416 | 22 | 20s | US | United States | male | train |
37893 | 18 | 10s | BG | Bulgaria | male | train |
7344 | 26 | 20s | US | United States | male | train |
74969 | 16 | 10s | PL | Poland | male | train |
36841 | 20 | 20s | RU | Russia | male | train |
59299 | 17 | 10s | PL | Poland | female | train |
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