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 |
|---|---|---|---|---|---|---|
33013 | 18 | 10s | US | United States | male | train |
59509 | 23 | 20s | BR | Brazil | male | train |
25379 | 29 | 20s | DE | Germany | female | train |
34725 | 18 | 10s | LT | Lithuania | male | train |
38084 | 22 | 20s | US | United States | female | train |
8133 | 21 | 20s | PL | Poland | female | train |
67748 | 18 | 10s | UK | United Kingdom | male | train |
61324 | 17 | 10s | UK | United Kingdom | female | train |
30082 | 22 | 20s | ID | Indonesia | female | train |
20320 | 21 | 20s | BR | Brazil | male | train |
28751 | 17 | 10s | PL | Poland | male | train |
2419 | 31 | 30s | DE | Germany | male | train |
10431 | 27 | 20s | DE | Germany | male | train |
46498 | 22 | 20s | PL | Poland | male | train |
37387 | 20 | 20s | US | United States | female | train |
76098 | 22 | 20s | UK | United Kingdom | male | train |
21417 | 20 | 20s | US | United States | male | train |
10092 | 23 | 20s | DE | Germany | male | train |
22980 | 20 | 20s | ES | Spain | male | train |
7916 | 29 | 20s | RU | Russia | female | train |
104742 | 19 | 10s | US | United States | male | train |
34077 | 20 | 20s | AR | Argentina | male | train |
6692 | 21 | 20s | US | United States | female | train |
27403 | 22 | 20s | US | United States | male | train |
12480 | 25 | 20s | PL | Poland | female | train |
955 | 27 | 20s | ZA | South Africa | male | train |
7364 | 25 | 20s | FI | Finland | male | train |
23605 | 37 | 30s | AT | Austria | male | train |
59905 | 26 | 20s | RU | Russia | male | train |
25151 | 28 | 20s | AL | Albania | female | train |
24508 | 23 | 20s | BY | Belarus | male | train |
36168 | 29 | 20s | IR | Iran | male | train |
16472 | 26 | 20s | US | United States | male | train |
9229 | 33 | 30s | SE | Sweden | male | train |
62844 | 19 | 10s | UA | Ukraine | female | train |
40807 | 17 | 10s | US | United States | male | train |
18197 | 19 | 10s | SE | Sweden | male | train |
20680 | 29 | 20s | DE | Germany | male | train |
4172 | 26 | 20s | DE | Germany | male | train |
2983 | 25 | 20s | BR | Brazil | male | train |
20642 | 31 | 30s | FR | France | female | train |
68632 | 19 | 10s | ES | Spain | female | train |
21696 | 25 | 20s | HU | Hungary | male | train |
65769 | 19 | 10s | RU | Russia | male | train |
30955 | 28 | 20s | BY | Belarus | male | train |
34802 | 19 | 10s | NL | Netherlands | female | train |
20884 | 24 | 20s | PL | Poland | male | train |
83683 | 14 | 10s | BR | Brazil | female | train |
112165 | 15 | 10s | PL | Poland | male | train |
55454 | 25 | 20s | US | United States | male | train |
6066 | 21 | 20s | SE | Sweden | female | train |
3071 | 19 | 10s | UK | United Kingdom | male | train |
1969 | 22 | 20s | PL | Poland | female | train |
19219 | 22 | 20s | UK | United Kingdom | male | train |
43013 | 22 | 20s | UK | United Kingdom | female | train |
49889 | 21 | 20s | GL | Greenland | female | train |
1882 | 25 | 20s | US | United States | male | train |
3315 | 26 | 20s | UK | United Kingdom | male | train |
91806 | 18 | 10s | EE | Estonia | male | train |
34770 | 22 | 20s | US | United States | male | train |
66475 | 20 | 20s | PL | Poland | male | train |
6079 | 31 | 30s | US | United States | female | train |
54045 | 17 | 10s | AR | Argentina | male | train |
18135 | 26 | 20s | DE | Germany | male | train |
18137 | 19 | 10s | FI | Finland | male | train |
7104 | 23 | 20s | UK | United Kingdom | male | train |
20121 | 20 | 20s | PE | Peru | male | train |
13152 | 21 | 20s | US | United States | female | train |
7683 | 21 | 20s | LV | Latvia | male | train |
14909 | 25 | 20s | CA | Canada | male | train |
2987 | 22 | 20s | US | United States | male | train |
26178 | 24 | 20s | BE | Belgium | female | train |
11151 | 20 | 20s | RU | Russia | male | train |
6981 | 23 | 20s | AT | Austria | male | train |
91390 | 46 | 40s | US | United States | male | train |
44785 | 24 | 20s | RU | Russia | male | train |
29342 | 23 | 20s | US | United States | female | train |
14050 | 22 | 20s | PL | Poland | male | train |
28662 | 21 | 20s | AU | Australia | female | train |
53445 | 20 | 20s | DE | Germany | male | train |
5392 | 27 | 20s | RU | Russia | male | train |
30287 | 23 | 20s | PL | Poland | male | train |
21646 | 22 | 20s | RU | Russia | female | train |
51451 | 22 | 20s | HU | Hungary | male | train |
32354 | 26 | 20s | BR | Brazil | male | train |
29535 | 32 | 30s | US | United States | male | train |
838 | 30 | 30s | ZA | South Africa | male | train |
16349 | 27 | 20s | BE | Belgium | male | train |
8817 | 25 | 20s | UA | Ukraine | male | train |
4705 | 24 | 20s | US | United States | male | train |
881 | 29 | 20s | AU | Australia | female | train |
36475 | 26 | 20s | US | United States | male | train |
90069 | 25 | 20s | US | United States | male | train |
85567 | 16 | 10s | PL | Poland | male | train |
30626 | 21 | 20s | DK | Denmark | male | train |
46799 | 20 | 20s | BR | Brazil | male | train |
48080 | 21 | 20s | UK | United Kingdom | male | train |
10275 | 26 | 20s | NL | Netherlands | male | train |
11505 | 22 | 20s | CA | Canada | male | train |
8198 | 22 | 20s | BR | Brazil | male | train |
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