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 |
|---|---|---|---|---|---|---|
101965 | 34 | 30s | ES | Spain | male | train |
6665 | 19 | 10s | CZ | Czech Republic | male | train |
49493 | 27 | 20s | HU | Hungary | male | train |
37388 | 21 | 20s | AU | Australia | male | train |
55735 | 35 | 30s | BR | Brazil | male | train |
13382 | 24 | 20s | PL | Poland | male | train |
59841 | 24 | 20s | VE | Venezuela | male | train |
35679 | 18 | 10s | PL | Poland | male | train |
32304 | 22 | 20s | FR | France | male | train |
57343 | 33 | 30s | RU | Russia | male | train |
22867 | 22 | 20s | PL | Poland | female | train |
36753 | 21 | 20s | SK | Slovakia | female | train |
9050 | 20 | 20s | DE | Germany | male | train |
31415 | 20 | 20s | PL | Poland | female | train |
17072 | 19 | 10s | DK | Denmark | male | train |
69066 | 19 | 10s | US | United States | male | train |
2150 | 27 | 20s | UK | United Kingdom | male | train |
7414 | 31 | 30s | FI | Finland | female | train |
1866 | 26 | 20s | CL | Chile | male | train |
23305 | 19 | 10s | BG | Bulgaria | male | train |
41853 | 24 | 20s | BR | Brazil | male | train |
13615 | 25 | 20s | SE | Sweden | male | train |
11194 | 21 | 20s | NO | Norway | male | train |
4133 | 26 | 20s | RU | Russia | male | train |
2495 | 24 | 20s | AU | Australia | male | train |
71806 | 27 | 20s | PL | Poland | male | train |
2411 | 36 | 30s | AU | Australia | male | train |
2569 | 34 | 30s | US | United States | female | train |
10474 | 29 | 20s | US | United States | male | train |
13647 | 23 | 20s | US | United States | male | train |
44660 | 22 | 20s | RU | Russia | male | train |
40258 | 43 | 40s | AF | Afghanistan | male | train |
88813 | 30 | 30s | BY | Belarus | male | train |
1192 | 28 | 20s | US | United States | male | train |
41624 | 20 | 20s | BR | Brazil | female | train |
13367 | 25 | 20s | VE | Venezuela | female | train |
7526 | 27 | 20s | NO | Norway | male | train |
35887 | 23 | 20s | BR | Brazil | male | train |
26476 | 20 | 20s | CA | Canada | female | train |
66445 | 16 | 10s | AU | Australia | female | train |
65459 | 22 | 20s | US | United States | male | train |
4528 | 22 | 20s | UK | United Kingdom | female | train |
36763 | 20 | 20s | BG | Bulgaria | male | train |
16939 | 21 | 20s | PL | Poland | male | train |
19485 | 21 | 20s | CN | China | male | train |
3439 | 25 | 20s | ES | Spain | male | train |
22468 | 29 | 20s | CC | Cocos Islands | male | train |
30106 | 19 | 10s | PL | Poland | female | train |
25881 | 25 | 20s | BR | Brazil | male | train |
60383 | 28 | 20s | BR | Brazil | male | train |
18298 | 32 | 30s | US | United States | male | train |
63840 | 18 | 10s | LV | Latvia | male | train |
6575 | 28 | 20s | CA | Canada | female | train |
58118 | 19 | 10s | US | United States | female | train |
25066 | 20 | 20s | PL | Poland | male | train |
92019 | 18 | 10s | BR | Brazil | male | train |
24732 | 22 | 20s | CA | Canada | male | train |
34542 | 19 | 10s | BR | Brazil | female | train |
49589 | 18 | 10s | BR | Brazil | male | train |
29763 | 18 | 10s | CC | Cocos Islands | female | train |
59746 | 22 | 20s | RU | Russia | male | train |
16536 | 23 | 20s | PL | Poland | male | train |
33437 | 19 | 10s | PL | Poland | male | train |
19820 | 20 | 20s | IE | Ireland | male | train |
44280 | 19 | 10s | GE | Georgia | female | train |
29890 | 17 | 10s | FI | Finland | female | train |
47744 | 22 | 20s | NL | Netherlands | male | train |
30937 | 24 | 20s | RU | Russia | male | train |
31934 | 19 | 10s | AU | Australia | male | train |
45960 | 24 | 20s | US | United States | male | train |
15171 | 23 | 20s | AR | Argentina | male | train |
19018 | 20 | 20s | SE | Sweden | male | train |
1280 | 24 | 20s | US | United States | female | train |
115401 | 21 | 20s | ID | Indonesia | male | train |
24886 | 19 | 10s | FI | Finland | male | train |
30001 | 34 | 30s | ES | Spain | male | train |
103568 | 19 | 10s | CO | Colombia | female | train |
51582 | 23 | 20s | CZ | Czech Republic | male | train |
12017 | 22 | 20s | DK | Denmark | female | train |
39636 | 1 | 10s | RS | Serbia | male | train |
8702 | 31 | 30s | US | United States | male | train |
2934 | 31 | 30s | US | United States | female | train |
35508 | 28 | 20s | US | United States | male | train |
59784 | 23 | 20s | US | United States | female | train |
19303 | 20 | 20s | US | United States | male | train |
35219 | 19 | 10s | RU | Russia | male | train |
8356 | 28 | 20s | DE | Germany | female | train |
11687 | 26 | 20s | UA | Ukraine | male | train |
10194 | 29 | 20s | US | United States | female | train |
23251 | 19 | 10s | PL | Poland | male | train |
53342 | 19 | 10s | PL | Poland | female | train |
35629 | 25 | 20s | DE | Germany | male | train |
35985 | 24 | 20s | MK | North Macedonia | male | train |
2754 | 26 | 20s | AU | Australia | male | train |
34149 | 30 | 30s | US | United States | male | train |
8033 | 21 | 20s | US | United States | male | train |
53791 | 19 | 10s | HR | Croatia | female | train |
68022 | 35 | 30s | US | United States | male | train |
68461 | 26 | 20s | BR | Brazil | female | train |
5163 | 36 | 30s | UK | United Kingdom | male | train |
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