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 |
|---|---|---|---|---|---|---|
39758 | 30 | 30s | US | United States | male | train |
9217 | 35 | 30s | MX | Mexico | male | train |
29085 | 23 | 20s | PL | Poland | male | train |
7395 | 30 | 30s | PL | Poland | male | train |
15554 | 24 | 20s | FI | Finland | male | train |
45563 | 16 | 10s | UK | United Kingdom | female | train |
111104 | 23 | 20s | US | United States | male | train |
16040 | 19 | 10s | AR | Argentina | male | train |
56244 | 21 | 20s | EG | Egypt | male | train |
1706 | 24 | 20s | DE | Germany | male | train |
48013 | 21 | 20s | FI | Finland | male | train |
17406 | 21 | 20s | IL | Israel | female | train |
51461 | 18 | 10s | PL | Poland | female | train |
37365 | 22 | 20s | BR | Brazil | male | train |
18964 | 21 | 20s | LT | Lithuania | male | train |
7724 | 49 | 40s | US | United States | male | train |
14844 | 23 | 20s | DE | Germany | female | train |
36047 | 25 | 20s | PL | Poland | female | train |
40102 | 20 | 20s | UA | Ukraine | male | train |
35365 | 21 | 20s | SE | Sweden | male | train |
5651 | 31 | 30s | UK | United Kingdom | male | train |
24481 | 20 | 20s | PL | Poland | female | train |
45954 | 17 | 10s | CA | Canada | male | train |
81676 | 17 | 10s | PL | Poland | male | train |
29781 | 21 | 20s | UA | Ukraine | female | train |
25701 | 23 | 20s | ES | Spain | female | train |
72567 | 22 | 20s | US | United States | male | train |
52472 | 24 | 20s | AU | Australia | male | train |
45654 | 18 | 10s | BR | Brazil | male | train |
10575 | 26 | 20s | DE | Germany | female | train |
18967 | 17 | 10s | IT | Italy | female | train |
25788 | 25 | 20s | US | United States | male | train |
22368 | 23 | 20s | DE | Germany | male | train |
99985 | 29 | 20s | US | United States | female | train |
10434 | 24 | 20s | DE | Germany | male | train |
8136 | 20 | 20s | PL | Poland | male | train |
15529 | 22 | 20s | NO | Norway | male | train |
11660 | 25 | 20s | UK | United Kingdom | female | train |
25826 | 22 | 20s | BA | Bosnia and Herzegovina | female | train |
1352 | 39 | 30s | US | United States | male | train |
87923 | 21 | 20s | PL | Poland | male | train |
61165 | 19 | 10s | BR | Brazil | female | train |
17023 | 26 | 20s | IT | Italy | male | train |
55463 | 16 | 10s | US | United States | male | train |
14011 | 22 | 20s | RU | Russia | male | train |
69234 | 17 | 10s | AU | Australia | female | train |
7105 | 25 | 20s | IT | Italy | male | train |
42033 | 21 | 20s | US | United States | female | train |
7849 | 24 | 20s | UK | United Kingdom | female | train |
10010 | 25 | 20s | PL | Poland | male | train |
44309 | 24 | 20s | HR | Croatia | female | train |
2024 | 21 | 20s | US | United States | male | train |
31660 | 18 | 10s | FI | Finland | male | train |
56110 | 15 | 10s | NL | Netherlands | female | train |
13744 | 29 | 20s | DE | Germany | male | train |
2091 | 26 | 20s | VE | Venezuela | male | train |
41958 | 21 | 20s | SE | Sweden | male | train |
34195 | 18 | 10s | US | United States | female | train |
4476 | 30 | 30s | DE | Germany | male | train |
4187 | 29 | 20s | PL | Poland | male | train |
27102 | 22 | 20s | UK | United Kingdom | male | train |
25939 | 28 | 20s | PL | Poland | male | train |
56337 | 27 | 20s | RU | Russia | male | train |
31067 | 18 | 10s | SE | Sweden | female | train |
81534 | 17 | 10s | PL | Poland | female | train |
25797 | 25 | 20s | BR | Brazil | male | train |
4442 | 26 | 20s | RU | Russia | female | train |
94610 | 33 | 30s | DE | Germany | male | train |
27090 | 21 | 20s | RU | Russia | male | train |
59046 | 25 | 20s | DK | Denmark | male | train |
48174 | 23 | 20s | AT | Austria | female | train |
6830 | 29 | 20s | PH | Philippines | male | train |
6994 | 22 | 20s | NO | Norway | male | train |
4200 | 33 | 30s | SE | Sweden | male | train |
9126 | 27 | 20s | HR | Croatia | female | train |
11209 | 20 | 20s | UK | United Kingdom | female | train |
9763 | 29 | 20s | BE | Belgium | male | train |
79285 | 18 | 10s | PL | Poland | male | train |
26475 | 21 | 20s | UK | United Kingdom | female | train |
23341 | 22 | 20s | RU | Russia | male | train |
70288 | 20 | 20s | UK | United Kingdom | male | train |
66327 | 28 | 20s | ZA | South Africa | male | train |
48817 | 18 | 10s | UK | United Kingdom | female | train |
11366 | 23 | 20s | DE | Germany | male | train |
18138 | 21 | 20s | UK | United Kingdom | male | train |
51481 | 18 | 10s | HU | Hungary | female | train |
4338 | 25 | 20s | AT | Austria | male | train |
8575 | 24 | 20s | DE | Germany | male | train |
63251 | 19 | 10s | US | United States | male | train |
27198 | 40 | 40s | US | United States | male | train |
53582 | 19 | 10s | VE | Venezuela | female | train |
54252 | 16 | 10s | RU | Russia | male | train |
10225 | 48 | 40s | US | United States | male | train |
23927 | 19 | 10s | PL | Poland | female | train |
28518 | 18 | 10s | US | United States | male | train |
6438 | 26 | 20s | UK | United Kingdom | male | train |
46876 | 22 | 20s | UA | Ukraine | male | train |
8253 | 33 | 30s | US | United States | male | train |
32637 | 18 | 10s | RU | Russia | female | train |
45267 | 20 | 20s | PL | Poland | female | train |
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