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 |
|---|---|---|---|---|---|---|
119599 | 24 | 20s | US | United States | male | train |
16680 | 29 | 20s | DE | Germany | male | train |
49722 | 18 | 10s | RU | Russia | male | train |
55052 | 17 | 10s | ID | Indonesia | male | train |
25790 | 19 | 10s | FI | Finland | male | train |
11699 | 24 | 20s | US | United States | female | train |
71725 | 21 | 20s | BR | Brazil | male | train |
53679 | 19 | 10s | BR | Brazil | male | train |
37476 | 18 | 10s | BR | Brazil | male | train |
34180 | 21 | 20s | RU | Russia | male | train |
87263 | 19 | 10s | SG | Singapore | female | train |
34328 | 24 | 20s | UA | Ukraine | male | train |
46882 | 20 | 20s | PL | Poland | female | train |
39551 | 23 | 20s | US | United States | female | train |
29349 | 25 | 20s | UA | Ukraine | female | train |
37789 | 18 | 10s | BR | Brazil | male | train |
67656 | 22 | 20s | MX | Mexico | male | train |
134 | 37 | 30s | NL | Netherlands | male | train |
5564 | 42 | 40s | UK | United Kingdom | male | train |
9785 | 21 | 20s | AU | Australia | male | train |
9132 | 29 | 20s | US | United States | male | train |
4516 | 31 | 30s | US | United States | female | train |
59419 | 18 | 10s | BR | Brazil | male | train |
48622 | 21 | 20s | PL | Poland | female | train |
57164 | 21 | 20s | TR | Turkey | male | train |
59877 | 20 | 20s | BR | Brazil | male | train |
3531 | 29 | 20s | SE | Sweden | male | train |
81695 | 23 | 20s | ES | Spain | female | train |
4035 | 39 | 30s | PT | Portugal | male | train |
115934 | 26 | 20s | US | United States | male | train |
2923 | 27 | 20s | DE | Germany | male | train |
24816 | 21 | 20s | RU | Russia | male | train |
46280 | 25 | 20s | DE | Germany | female | train |
77627 | 17 | 10s | NL | Netherlands | male | train |
3607 | 22 | 20s | DE | Germany | male | train |
27115 | 28 | 20s | US | United States | female | train |
34752 | 31 | 30s | BR | Brazil | male | train |
45875 | 18 | 10s | NL | Netherlands | female | train |
45779 | 21 | 20s | UA | Ukraine | male | train |
34402 | 33 | 30s | US | United States | female | train |
10176 | 22 | 20s | BR | Brazil | male | train |
45353 | 33 | 30s | RU | Russia | male | train |
25653 | 21 | 20s | PL | Poland | male | train |
19771 | 20 | 20s | PL | Poland | male | train |
56163 | 20 | 20s | ID | Indonesia | female | train |
74405 | 24 | 20s | NO | Norway | male | train |
81939 | 15 | 10s | BR | Brazil | male | train |
7735 | 24 | 20s | IT | Italy | male | train |
96460 | 21 | 20s | PL | Poland | male | train |
59304 | 23 | 20s | US | United States | male | train |
32907 | 18 | 10s | SE | Sweden | female | train |
78238 | 18 | 10s | US | United States | male | train |
59092 | 32 | 30s | IT | Italy | male | train |
52923 | 26 | 20s | BR | Brazil | male | train |
2823 | 36 | 30s | US | United States | male | train |
11809 | 23 | 20s | US | United States | male | train |
20323 | 33 | 30s | ZA | South Africa | male | train |
22750 | 22 | 20s | NL | Netherlands | male | train |
30832 | 39 | 30s | US | United States | male | train |
74099 | 30 | 30s | VE | Venezuela | male | train |
49917 | 31 | 30s | AU | Australia | female | train |
79992 | 25 | 20s | PE | Peru | female | train |
10617 | 27 | 20s | PL | Poland | male | train |
15706 | 21 | 20s | IT | Italy | female | train |
8194 | 29 | 20s | MT | Malta | male | train |
43872 | 23 | 20s | NL | Netherlands | male | train |
72968 | 34 | 30s | UK | United Kingdom | male | train |
54325 | 19 | 10s | RU | Russia | female | train |
24878 | 22 | 20s | AU | Australia | male | train |
36141 | 21 | 20s | RU | Russia | female | train |
24279 | 20 | 20s | BR | Brazil | female | train |
35802 | 21 | 20s | PL | Poland | male | train |
50965 | 25 | 20s | BY | Belarus | male | train |
33473 | 22 | 20s | BR | Brazil | female | train |
44860 | 21 | 20s | BR | Brazil | male | train |
84337 | 19 | 10s | BR | Brazil | female | train |
37986 | 23 | 20s | VE | Venezuela | male | train |
28404 | 23 | 20s | DE | Germany | male | train |
4774 | 21 | 20s | UK | United Kingdom | female | train |
55785 | 19 | 10s | UA | Ukraine | male | train |
35227 | 20 | 20s | US | United States | female | train |
9234 | 53 | 50s | FR | France | male | train |
27971 | 22 | 20s | GT | Guatemala | male | train |
19585 | 19 | 10s | SE | Sweden | male | train |
19705 | 23 | 20s | BR | Brazil | female | train |
4699 | 33 | 30s | UA | Ukraine | male | train |
8620 | 43 | 40s | RU | Russia | male | train |
26494 | 43 | 40s | JP | Japan | male | train |
73269 | 14 | 10s | BR | Brazil | male | train |
14486 | 29 | 20s | RU | Russia | male | train |
42151 | 31 | 30s | SE | Sweden | male | train |
61646 | 24 | 20s | US | United States | female | train |
31174 | 24 | 20s | AU | Australia | female | train |
6734 | 35 | 30s | VE | Venezuela | male | train |
5739 | 32 | 30s | RU | Russia | male | train |
73431 | 18 | 10s | BR | Brazil | male | train |
23739 | 23 | 20s | DE | Germany | male | train |
46391 | 20 | 20s | RU | Russia | male | train |
13765 | 23 | 20s | US | United States | male | train |
265 | 30 | 30s | BG | Bulgaria | male | train |
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