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 |
|---|---|---|---|---|---|---|
899 | 30 | 30s | US | United States | male | train |
7544 | 28 | 20s | UK | United Kingdom | male | train |
61931 | 20 | 20s | UK | United Kingdom | male | train |
52239 | 20 | 20s | HR | Croatia | female | train |
1083 | 25 | 20s | UK | United Kingdom | male | train |
38275 | 32 | 30s | BR | Brazil | male | train |
21707 | 24 | 20s | PL | Poland | male | train |
47174 | 19 | 10s | MX | Mexico | male | train |
30692 | 21 | 20s | NL | Netherlands | female | train |
10414 | 19 | 10s | CC | Cocos Islands | female | train |
24119 | 18 | 10s | NL | Netherlands | female | train |
11134 | 26 | 20s | US | United States | male | train |
2410 | 26 | 20s | US | United States | male | train |
44592 | 22 | 20s | FR | France | male | train |
3178 | 31 | 30s | US | United States | male | train |
66231 | 19 | 10s | CO | Colombia | male | train |
49705 | 25 | 20s | ID | Indonesia | male | train |
736 | 28 | 20s | US | United States | male | train |
4790 | 18 | 10s | US | United States | male | train |
9214 | 32 | 30s | DK | Denmark | male | train |
5189 | 40 | 40s | NO | Norway | male | train |
11458 | 27 | 20s | SE | Sweden | male | train |
67422 | 23 | 20s | BR | Brazil | male | train |
23875 | 22 | 20s | ES | Spain | female | train |
48746 | 38 | 30s | UK | United Kingdom | male | train |
88675 | 18 | 10s | BR | Brazil | male | train |
37453 | 20 | 20s | PL | Poland | male | train |
4269 | 31 | 30s | ZA | South Africa | male | train |
71531 | 22 | 20s | FR | France | male | train |
12238 | 26 | 20s | ES | Spain | male | train |
6585 | 21 | 20s | PL | Poland | female | train |
20949 | 20 | 20s | MX | Mexico | female | train |
1923 | 29 | 20s | US | United States | female | train |
59310 | 18 | 10s | PL | Poland | female | train |
34526 | 20 | 20s | MX | Mexico | male | train |
25647 | 23 | 20s | US | United States | female | train |
48055 | 21 | 20s | DE | Germany | female | train |
24105 | 21 | 20s | RO | Romania | female | train |
57385 | 18 | 10s | BR | Brazil | female | train |
4664 | 23 | 20s | US | United States | female | train |
57732 | 19 | 10s | BR | Brazil | male | train |
12210 | 29 | 20s | FI | Finland | male | train |
81398 | 17 | 10s | FI | Finland | male | train |
14348 | 31 | 30s | ES | Spain | male | train |
22516 | 22 | 20s | US | United States | male | train |
65714 | 21 | 20s | DE | Germany | male | train |
5737 | 26 | 20s | FI | Finland | male | train |
10255 | 22 | 20s | CZ | Czech Republic | male | train |
32249 | 22 | 20s | US | United States | female | train |
10513 | 21 | 20s | AU | Australia | male | train |
31612 | 24 | 20s | PL | Poland | male | train |
54735 | 28 | 20s | HR | Croatia | male | train |
10085 | 21 | 20s | AU | Australia | male | train |
9155 | 51 | 50s | US | United States | male | train |
44777 | 20 | 20s | UK | United Kingdom | male | train |
1756 | 28 | 20s | PL | Poland | male | train |
6968 | 34 | 30s | WS | Samoa | male | train |
37799 | 19 | 10s | BR | Brazil | male | train |
6043 | 25 | 20s | UK | United Kingdom | male | train |
36978 | 21 | 20s | MY | Malaysia | female | train |
4940 | 48 | 40s | US | United States | male | train |
9910 | 26 | 20s | HR | Croatia | male | train |
39499 | 19 | 10s | RO | Romania | female | train |
31180 | 22 | 20s | HU | Hungary | female | train |
13712 | 23 | 20s | PL | Poland | male | train |
18572 | 23 | 20s | BR | Brazil | female | train |
15045 | 23 | 20s | SE | Sweden | male | train |
45246 | 21 | 20s | RU | Russia | male | train |
6142 | 28 | 20s | US | United States | male | train |
28776 | 24 | 20s | SK | Slovakia | male | train |
51219 | 21 | 20s | MY | Malaysia | female | train |
11796 | 24 | 20s | PL | Poland | male | train |
2526 | 26 | 20s | US | United States | male | train |
186 | 35 | 30s | NZ | New Zealand | male | train |
93547 | 30 | 30s | BR | Brazil | male | train |
15180 | 21 | 20s | PL | Poland | female | train |
36919 | 18 | 10s | IT | Italy | male | train |
7064 | 38 | 30s | UK | United Kingdom | male | train |
59793 | 18 | 10s | BR | Brazil | male | train |
37005 | 19 | 10s | PL | Poland | female | train |
83926 | 15 | 10s | BR | Brazil | male | train |
82857 | 24 | 20s | RU | Russia | male | train |
31656 | 18 | 10s | DE | Germany | male | train |
36540 | 20 | 20s | UK | United Kingdom | male | train |
56589 | 19 | 10s | PL | Poland | female | train |
15038 | 27 | 20s | PL | Poland | male | train |
22542 | 23 | 20s | US | United States | male | train |
15717 | 18 | 10s | BR | Brazil | male | train |
59059 | 20 | 20s | RO | Romania | male | train |
45057 | 23 | 20s | UK | United Kingdom | male | train |
2444 | 27 | 20s | NL | Netherlands | male | train |
19922 | 25 | 20s | PE | Peru | male | train |
18036 | 21 | 20s | DE | Germany | female | train |
38241 | 23 | 20s | US | United States | male | train |
36442 | 20 | 20s | PL | Poland | male | train |
19094 | 27 | 20s | US | United States | female | train |
1180 | 29 | 20s | US | United States | male | train |
39506 | 23 | 20s | US | United States | male | train |
52312 | 22 | 20s | BR | Brazil | female | train |
37096 | 18 | 10s | SE | Sweden | female | train |
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