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 |
|---|---|---|---|---|---|---|
14187 | 27 | 20s | AU | Australia | female | train |
14093 | 22 | 20s | CZ | Czech Republic | male | train |
79119 | 17 | 10s | RU | Russia | male | train |
52971 | 19 | 10s | LT | Lithuania | male | train |
107205 | 26 | 20s | US | United States | female | train |
67048 | 21 | 20s | CA | Canada | male | train |
23259 | 22 | 20s | TT | Trinidad and Tobago | male | train |
54816 | 27 | 20s | CN | China | male | train |
16025 | 19 | 10s | DE | Germany | female | train |
19778 | 23 | 20s | ES | Spain | female | train |
58811 | 21 | 20s | PL | Poland | male | train |
23878 | 28 | 20s | PE | Peru | male | train |
61941 | 19 | 10s | RU | Russia | male | train |
51391 | 20 | 20s | PL | Poland | male | train |
24266 | 22 | 20s | US | United States | female | train |
46412 | 15 | 10s | CA | Canada | male | train |
34550 | 20 | 20s | US | United States | female | train |
7416 | 37 | 30s | NZ | New Zealand | male | train |
13079 | 23 | 20s | CA | Canada | male | train |
118642 | 18 | 10s | SK | Slovakia | male | train |
24764 | 22 | 20s | PL | Poland | male | train |
56417 | 18 | 10s | BR | Brazil | male | train |
16281 | 50 | 50s | RU | Russia | male | train |
36430 | 20 | 20s | RU | Russia | female | train |
5674 | 25 | 20s | CA | Canada | male | train |
35787 | 27 | 20s | SK | Slovakia | male | train |
16993 | 22 | 20s | NL | Netherlands | male | train |
13360 | 29 | 20s | CL | Chile | male | train |
8607 | 27 | 20s | NO | Norway | male | train |
12557 | 27 | 20s | UK | United Kingdom | male | train |
3688 | 30 | 30s | NL | Netherlands | male | train |
40230 | 24 | 20s | AU | Australia | female | train |
184 | 31 | 30s | NL | Netherlands | male | train |
21101 | 22 | 20s | CZ | Czech Republic | female | train |
7230 | 21 | 20s | US | United States | female | train |
4262 | 25 | 20s | US | United States | male | train |
1314 | 22 | 20s | US | United States | female | train |
88225 | 35 | 30s | US | United States | male | train |
25571 | 24 | 20s | BR | Brazil | female | train |
38215 | 18 | 10s | DE | Germany | male | train |
39836 | 19 | 10s | BR | Brazil | female | train |
7345 | 32 | 30s | UK | United Kingdom | male | train |
25378 | 26 | 20s | RU | Russia | male | train |
76004 | 20 | 20s | ES | Spain | male | train |
34716 | 20 | 20s | US | United States | female | train |
20793 | 32 | 30s | BR | Brazil | male | train |
4750 | 24 | 20s | US | United States | male | train |
36739 | 20 | 20s | RU | Russia | male | train |
60679 | 18 | 10s | AU | Australia | male | train |
77663 | 17 | 10s | BR | Brazil | female | train |
76043 | 15 | 10s | BR | Brazil | female | train |
76370 | 49 | 40s | CH | Switzerland | male | train |
8632 | 22 | 20s | US | United States | male | train |
54999 | 22 | 20s | BR | Brazil | male | train |
29527 | 18 | 10s | UK | United Kingdom | female | train |
25342 | 23 | 20s | ES | Spain | female | train |
24674 | 22 | 20s | US | United States | female | train |
10992 | 24 | 20s | DE | Germany | female | train |
14101 | 30 | 30s | NL | Netherlands | male | train |
47773 | 22 | 20s | CL | Chile | male | train |
76966 | 24 | 20s | CL | Chile | male | train |
54286 | 22 | 20s | UK | United Kingdom | female | train |
210 | 30 | 30s | SE | Sweden | male | train |
46431 | 37 | 30s | CL | Chile | male | train |
64509 | 17 | 10s | RU | Russia | male | train |
7402 | 23 | 20s | US | United States | female | train |
2448 | 31 | 30s | AR | Argentina | male | train |
8102 | 23 | 20s | PT | Portugal | male | train |
7625 | 23 | 20s | US | United States | male | train |
44658 | 21 | 20s | PL | Poland | male | train |
34473 | 26 | 20s | FI | Finland | male | train |
60352 | 24 | 20s | UA | Ukraine | male | train |
8140 | 26 | 20s | US | United States | male | train |
19746 | 26 | 20s | RU | Russia | female | train |
54764 | 23 | 20s | US | United States | male | train |
42100 | 29 | 20s | BR | Brazil | male | train |
60988 | 26 | 20s | ZA | South Africa | male | train |
17022 | 26 | 20s | BR | Brazil | male | train |
17799 | 27 | 20s | US | United States | female | train |
7267 | 27 | 20s | IL | Israel | female | train |
45885 | 43 | 40s | UA | Ukraine | male | train |
9077 | 20 | 20s | RU | Russia | male | train |
13956 | 21 | 20s | UK | United Kingdom | male | train |
63031 | 21 | 20s | CA | Canada | female | train |
33290 | 22 | 20s | UK | United Kingdom | male | train |
13280 | 44 | 40s | TR | Turkey | male | train |
22578 | 20 | 20s | UK | United Kingdom | female | train |
32655 | 20 | 20s | UK | United Kingdom | male | train |
65647 | 18 | 10s | SI | Slovenia | male | train |
53067 | 18 | 10s | PL | Poland | male | train |
31383 | 20 | 20s | PL | Poland | female | train |
71456 | 27 | 20s | PL | Poland | female | train |
32520 | 20 | 20s | UK | United Kingdom | female | train |
7525 | 30 | 30s | CA | Canada | male | train |
18354 | 21 | 20s | TR | Turkey | female | train |
51080 | 24 | 20s | AU | Australia | male | train |
75636 | 16 | 10s | NL | Netherlands | male | train |
20585 | 36 | 30s | BR | Brazil | male | train |
2273 | 23 | 20s | DK | Denmark | male | train |
9958 | 35 | 30s | AU | Australia | male | train |
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