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 |
|---|---|---|---|---|---|---|
87480 | 16 | 10s | PL | Poland | male | train |
74546 | 14 | 10s | BR | Brazil | female | train |
6941 | 29 | 20s | BY | Belarus | male | train |
16280 | 39 | 30s | DK | Denmark | male | train |
30812 | 22 | 20s | RU | Russia | female | train |
36556 | 36 | 30s | ES | Spain | male | train |
14996 | 30 | 30s | US | United States | male | train |
33371 | 24 | 20s | US | United States | male | train |
13708 | 24 | 20s | DE | Germany | male | train |
42626 | 28 | 20s | ES | Spain | male | train |
885 | 33 | 30s | UK | United Kingdom | male | train |
4944 | 32 | 30s | JP | Japan | male | train |
1574 | 26 | 20s | US | United States | male | train |
18020 | 24 | 20s | UK | United Kingdom | male | train |
7771 | 22 | 20s | US | United States | female | train |
5688 | 24 | 20s | UK | United Kingdom | female | train |
30185 | 25 | 20s | NO | Norway | male | train |
30608 | 19 | 10s | NZ | New Zealand | male | train |
75014 | 23 | 20s | NL | Netherlands | male | train |
36531 | 22 | 20s | US | United States | male | train |
9356 | 21 | 20s | DE | Germany | male | train |
45471 | 34 | 30s | US | United States | male | train |
12612 | 23 | 20s | NO | Norway | male | train |
50588 | 22 | 20s | BR | Brazil | male | train |
29992 | 21 | 20s | TR | Turkey | female | train |
25288 | 28 | 20s | UK | United Kingdom | male | train |
295 | 52 | 50s | NL | Netherlands | male | train |
354 | 40 | 40s | US | United States | male | train |
49136 | 18 | 10s | RU | Russia | male | train |
13908 | 27 | 20s | PT | Portugal | male | train |
68217 | 17 | 10s | AU | Australia | male | train |
66597 | 17 | 10s | CL | Chile | female | train |
12621 | 33 | 30s | AU | Australia | male | train |
58388 | 20 | 20s | FR | France | male | train |
23318 | 22 | 20s | RU | Russia | male | train |
15541 | 21 | 20s | BR | Brazil | male | train |
63448 | 17 | 10s | BR | Brazil | female | train |
21088 | 42 | 40s | DE | Germany | male | train |
30075 | 27 | 20s | US | United States | male | train |
16890 | 28 | 20s | IT | Italy | male | train |
50352 | 18 | 10s | BE | Belgium | male | train |
35476 | 31 | 30s | ES | Spain | male | train |
3787 | 22 | 20s | US | United States | male | train |
24820 | 19 | 10s | UK | United Kingdom | female | train |
67583 | 19 | 10s | BR | Brazil | male | train |
25619 | 31 | 30s | FR | France | male | train |
16840 | 22 | 20s | AR | Argentina | male | train |
80013 | 16 | 10s | BR | Brazil | male | train |
15423 | 26 | 20s | BR | Brazil | male | train |
2357 | 30 | 30s | BE | Belgium | male | train |
46681 | 22 | 20s | FR | France | male | train |
54675 | 18 | 10s | BR | Brazil | male | train |
23769 | 22 | 20s | US | United States | male | train |
13827 | 37 | 30s | US | United States | male | train |
112291 | 23 | 20s | US | United States | male | train |
291 | 31 | 30s | AU | Australia | male | train |
47607 | 21 | 20s | RU | Russia | female | train |
40112 | 19 | 10s | AU | Australia | male | train |
31120 | 21 | 20s | PL | Poland | female | train |
100942 | 21 | 20s | IR | Iran | female | train |
38520 | 19 | 10s | RU | Russia | male | train |
1136 | 23 | 20s | US | United States | male | train |
46069 | 22 | 20s | UK | United Kingdom | male | train |
15420 | 22 | 20s | US | United States | female | train |
91770 | 16 | 10s | SG | Singapore | male | train |
10475 | 23 | 20s | SE | Sweden | male | train |
22523 | 20 | 20s | SE | Sweden | female | train |
13151 | 20 | 20s | ID | Indonesia | male | train |
9020 | 39 | 30s | ES | Spain | male | train |
1289 | 24 | 20s | UK | United Kingdom | female | train |
72395 | 20 | 20s | PL | Poland | female | train |
50367 | 18 | 10s | CL | Chile | female | train |
76225 | 25 | 20s | DE | Germany | female | train |
28760 | 18 | 10s | UA | Ukraine | male | train |
26561 | 35 | 30s | US | United States | male | train |
14822 | 21 | 20s | LT | Lithuania | male | train |
70579 | 20 | 20s | RU | Russia | male | train |
51584 | 17 | 10s | HU | Hungary | male | train |
23391 | 24 | 20s | PL | Poland | female | train |
35654 | 23 | 20s | UK | United Kingdom | male | train |
23850 | 18 | 10s | BR | Brazil | male | train |
11964 | 35 | 30s | UK | United Kingdom | male | train |
20254 | 33 | 30s | DE | Germany | male | train |
61400 | 20 | 20s | AU | Australia | female | train |
14711 | 26 | 20s | CZ | Czech Republic | female | train |
102613 | 17 | 10s | BR | Brazil | male | train |
8323 | 26 | 20s | TR | Turkey | male | train |
104424 | 24 | 20s | UK | United Kingdom | male | train |
85131 | 21 | 20s | CL | Chile | male | train |
24351 | 19 | 10s | IE | Ireland | female | train |
5736 | 30 | 30s | NL | Netherlands | female | train |
22497 | 26 | 20s | US | United States | male | train |
69116 | 17 | 10s | US | United States | female | train |
112879 | 19 | 10s | AE | United Arab Emirates | female | train |
4302 | 23 | 20s | UK | United Kingdom | male | train |
23481 | 22 | 20s | BR | Brazil | female | train |
90057 | 16 | 10s | ID | Indonesia | female | train |
82316 | 27 | 20s | PE | Peru | male | train |
53695 | 17 | 10s | MO | Macao | male | train |
10543 | 21 | 20s | RU | Russia | male | train |
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