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 |
|---|---|---|---|---|---|---|
4266 | 25 | 20s | PL | Poland | female | train |
70393 | 19 | 10s | PL | Poland | male | train |
91020 | 16 | 10s | UK | United Kingdom | male | train |
10258 | 23 | 20s | US | United States | male | train |
21065 | 20 | 20s | BG | Bulgaria | female | train |
11015 | 20 | 20s | PT | Portugal | male | train |
53892 | 21 | 20s | PL | Poland | male | train |
43705 | 25 | 20s | MX | Mexico | male | train |
29410 | 18 | 10s | PL | Poland | female | train |
14903 | 21 | 20s | UA | Ukraine | male | train |
49590 | 20 | 20s | US | United States | male | train |
47957 | 18 | 10s | US | United States | female | train |
3391 | 28 | 20s | PL | Poland | male | train |
24786 | 33 | 30s | US | United States | female | train |
12821 | 22 | 20s | CZ | Czech Republic | male | train |
31026 | 20 | 20s | RS | Serbia | female | train |
53 | 22 | 20s | US | United States | male | train |
221 | 28 | 20s | PL | Poland | male | train |
75731 | 17 | 10s | BR | Brazil | male | train |
21826 | 27 | 20s | PH | Philippines | female | train |
38510 | 18 | 10s | BR | Brazil | male | train |
12227 | 24 | 20s | RU | Russia | male | train |
2013 | 29 | 20s | MX | Mexico | male | train |
23990 | 26 | 20s | UK | United Kingdom | male | train |
41469 | 22 | 20s | PL | Poland | male | train |
50688 | 36 | 30s | PE | Peru | male | train |
19048 | 23 | 20s | CA | Canada | female | train |
1107 | 57 | 50s | US | United States | male | train |
86442 | 18 | 10s | BR | Brazil | female | train |
48011 | 19 | 10s | US | United States | male | train |
57031 | 19 | 10s | PL | Poland | male | train |
105102 | 47 | 40s | CA | Canada | female | train |
48904 | 16 | 10s | PL | Poland | female | train |
27465 | 20 | 20s | BR | Brazil | female | train |
57057 | 41 | 40s | BR | Brazil | male | train |
30461 | 20 | 20s | PL | Poland | male | train |
12943 | 21 | 20s | PL | Poland | male | train |
110692 | 16 | 10s | CA | Canada | male | train |
7136 | 22 | 20s | CA | Canada | female | train |
60111 | 15 | 10s | BR | Brazil | male | train |
22498 | 27 | 20s | PM | Saint Pierre and Miquelon | male | train |
6635 | 22 | 20s | SE | Sweden | female | train |
12955 | 27 | 20s | AU | Australia | male | train |
56476 | 23 | 20s | US | United States | male | train |
65026 | 20 | 20s | BR | Brazil | male | train |
62914 | 22 | 20s | TR | Turkey | male | train |
13732 | 22 | 20s | DE | Germany | male | train |
43257 | 20 | 20s | RU | Russia | male | train |
1880 | 34 | 30s | DE | Germany | male | train |
1064 | 34 | 30s | SE | Sweden | male | train |
2721 | 31 | 30s | UK | United Kingdom | male | train |
19894 | 35 | 30s | DE | Germany | female | train |
35412 | 21 | 20s | BR | Brazil | female | train |
10757 | 23 | 20s | SE | Sweden | female | train |
11530 | 23 | 20s | DE | Germany | male | train |
1508 | 42 | 40s | NL | Netherlands | male | train |
19410 | 27 | 20s | US | United States | female | train |
32995 | 21 | 20s | US | United States | male | train |
8812 | 32 | 30s | HR | Croatia | male | train |
20159 | 20 | 20s | PL | Poland | male | train |
27340 | 26 | 20s | UK | United Kingdom | female | train |
31365 | 19 | 10s | RU | Russia | male | train |
202 | 29 | 20s | US | United States | male | train |
14304 | 21 | 20s | SE | Sweden | male | train |
39428 | 26 | 20s | MT | Malta | female | train |
68931 | 17 | 10s | BR | Brazil | male | train |
85816 | 25 | 20s | KZ | Kazakhstan | female | train |
40097 | 17 | 10s | CA | Canada | male | train |
16470 | 19 | 10s | FI | Finland | male | train |
54276 | 27 | 20s | BR | Brazil | male | train |
3617 | 33 | 30s | US | United States | male | train |
4069 | 29 | 20s | NO | Norway | male | train |
23008 | 54 | 50s | GR | Greece | male | train |
54589 | 25 | 20s | US | United States | female | train |
54872 | 19 | 10s | US | United States | male | train |
56698 | 21 | 20s | BR | Brazil | male | train |
85118 | 22 | 20s | UK | United Kingdom | male | train |
10256 | 3 | 10s | BD | Bangladesh | male | train |
5263 | 23 | 20s | UK | United Kingdom | female | train |
2497 | 22 | 20s | UK | United Kingdom | male | train |
4534 | 23 | 20s | SE | Sweden | female | train |
14076 | 40 | 40s | US | United States | male | train |
71238 | 19 | 10s | US | United States | female | train |
52543 | 16 | 10s | PL | Poland | male | train |
51142 | 21 | 20s | AU | Australia | female | train |
387 | 25 | 20s | BE | Belgium | male | train |
32795 | 21 | 20s | HU | Hungary | male | train |
25523 | 23 | 20s | PL | Poland | male | train |
59339 | 18 | 10s | TR | Turkey | male | train |
10547 | 21 | 20s | RU | Russia | male | train |
34083 | 20 | 20s | RU | Russia | male | train |
73143 | 19 | 10s | US | United States | female | train |
9379 | 22 | 20s | AU | Australia | male | train |
43040 | 17 | 10s | FI | Finland | male | train |
61430 | 23 | 20s | TW | Taiwan | female | train |
76470 | 28 | 20s | BR | Brazil | female | train |
26176 | 21 | 20s | US | United States | female | train |
4449 | 22 | 20s | UK | United Kingdom | male | train |
13839 | 20 | 20s | BR | Brazil | male | train |
60600 | 17 | 10s | BR | Brazil | male | train |
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