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 |
|---|---|---|---|---|---|---|
11644 | 36 | 30s | BR | Brazil | male | train |
104705 | 19 | 10s | PT | Portugal | male | train |
20571 | 25 | 20s | NL | Netherlands | female | train |
4748 | 28 | 20s | US | United States | male | train |
31115 | 39 | 30s | CL | Chile | male | train |
18877 | 25 | 20s | TW | Taiwan | male | train |
60690 | 21 | 20s | DE | Germany | male | train |
6842 | 22 | 20s | PL | Poland | male | train |
22988 | 20 | 20s | NO | Norway | female | train |
20966 | 29 | 20s | DE | Germany | male | train |
62671 | 19 | 10s | PT | Portugal | male | train |
1872 | 31 | 30s | CL | Chile | male | train |
73134 | 17 | 10s | DE | Germany | female | train |
14312 | 29 | 20s | UK | United Kingdom | male | train |
12643 | 23 | 20s | SE | Sweden | female | train |
41087 | 20 | 20s | UK | United Kingdom | male | train |
59520 | 20 | 20s | CA | Canada | female | train |
34647 | 16 | 10s | BR | Brazil | male | train |
9608 | 23 | 20s | UK | United Kingdom | male | train |
36633 | 20 | 20s | UK | United Kingdom | male | train |
16334 | 27 | 20s | CZ | Czech Republic | male | train |
31862 | 18 | 10s | SE | Sweden | female | train |
37179 | 19 | 10s | US | United States | male | train |
63215 | 15 | 10s | NZ | New Zealand | male | train |
29655 | 21 | 20s | UY | Uruguay | male | train |
5958 | 27 | 20s | BR | Brazil | male | train |
13436 | 21 | 20s | BR | Brazil | male | train |
35230 | 28 | 20s | US | United States | male | train |
21067 | 23 | 20s | AQ | Antarctica | male | train |
13044 | 21 | 20s | NL | Netherlands | female | train |
29081 | 21 | 20s | US | United States | male | train |
27545 | 26 | 20s | NL | Netherlands | male | train |
7925 | 22 | 20s | LV | Latvia | female | train |
14848 | 25 | 20s | US | United States | male | train |
12274 | 24 | 20s | US | United States | male | train |
25262 | 27 | 20s | DE | Germany | male | train |
77726 | 18 | 10s | NL | Netherlands | male | train |
57355 | 17 | 10s | US | United States | female | train |
29905 | 19 | 10s | RS | Serbia | male | train |
13846 | 33 | 30s | UK | United Kingdom | female | train |
47930 | 30 | 30s | UK | United Kingdom | male | train |
14086 | 27 | 20s | RU | Russia | male | train |
22507 | 23 | 20s | US | United States | female | train |
33167 | 18 | 10s | US | United States | female | train |
53276 | 17 | 10s | UK | United Kingdom | female | train |
4463 | 26 | 20s | CA | Canada | female | train |
26889 | 22 | 20s | BR | Brazil | female | train |
10390 | 21 | 20s | NO | Norway | female | train |
14554 | 18 | 10s | UK | United Kingdom | male | train |
20915 | 23 | 20s | UA | Ukraine | female | train |
55916 | 23 | 20s | BR | Brazil | female | train |
2324 | 34 | 30s | CH | Switzerland | male | train |
24382 | 20 | 20s | CZ | Czech Republic | male | train |
14437 | 27 | 20s | TR | Turkey | female | train |
52273 | 19 | 10s | AU | Australia | female | train |
58394 | 20 | 20s | BR | Brazil | male | train |
18637 | 28 | 20s | US | United States | male | train |
45061 | 24 | 20s | CL | Chile | male | train |
48126 | 21 | 20s | BR | Brazil | male | train |
3432 | 25 | 20s | US | United States | male | train |
51285 | 17 | 10s | DE | Germany | male | train |
8218 | 22 | 20s | SE | Sweden | male | train |
51912 | 22 | 20s | RU | Russia | male | train |
44840 | 22 | 20s | PL | Poland | female | train |
6539 | 24 | 20s | US | United States | male | train |
31559 | 33 | 30s | PL | Poland | female | train |
26628 | 20 | 20s | HR | Croatia | male | train |
32966 | 22 | 20s | PL | Poland | male | train |
35428 | 21 | 20s | BR | Brazil | male | train |
23729 | 27 | 20s | BR | Brazil | male | train |
41712 | 17 | 10s | BR | Brazil | male | train |
35666 | 23 | 20s | FI | Finland | male | train |
57496 | 16 | 10s | BR | Brazil | male | train |
108269 | 34 | 30s | UK | United Kingdom | male | train |
66528 | 17 | 10s | US | United States | female | train |
14639 | 28 | 20s | AR | Argentina | male | train |
12265 | 25 | 20s | DE | Germany | female | train |
98984 | 17 | 10s | PL | Poland | female | train |
3858 | 22 | 20s | FI | Finland | female | train |
29861 | 23 | 20s | NL | Netherlands | male | train |
55903 | 22 | 20s | BR | Brazil | male | train |
11756 | 26 | 20s | BR | Brazil | male | train |
113 | 23 | 20s | US | United States | male | train |
4481 | 23 | 20s | SE | Sweden | male | train |
19127 | 21 | 20s | BR | Brazil | male | train |
44213 | 21 | 20s | PL | Poland | male | train |
23359 | 17 | 10s | FI | Finland | female | train |
6467 | 21 | 20s | US | United States | male | train |
4870 | 32 | 30s | CZ | Czech Republic | male | train |
3042 | 29 | 20s | AS | American Samoa | male | train |
1661 | 32 | 30s | US | United States | male | train |
17348 | 25 | 20s | RU | Russia | male | train |
2189 | 23 | 20s | DE | Germany | male | train |
58710 | 17 | 10s | ZA | South Africa | male | train |
15600 | 29 | 20s | CZ | Czech Republic | female | train |
31969 | 21 | 20s | UK | United Kingdom | male | train |
110270 | 19 | 10s | US | United States | female | train |
29708 | 20 | 20s | NO | Norway | male | train |
21396 | 29 | 20s | PL | Poland | male | train |
11176 | 22 | 20s | US | United States | male | train |
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