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 |
|---|---|---|---|---|---|---|
18629 | 23 | 20s | MX | Mexico | male | train |
87711 | 18 | 10s | BR | Brazil | female | train |
50471 | 18 | 10s | PL | Poland | male | train |
1100 | 22 | 20s | DE | Germany | male | train |
24349 | 21 | 20s | RU | Russia | male | train |
9837 | 23 | 20s | US | United States | female | train |
19928 | 22 | 20s | PL | Poland | female | train |
18726 | 26 | 20s | GS | South Georgia and South Sandwich Islands | male | train |
12515 | 23 | 20s | UK | United Kingdom | male | train |
28588 | 22 | 20s | TR | Turkey | male | train |
1806 | 29 | 20s | CA | Canada | female | train |
104208 | 23 | 20s | PL | Poland | male | train |
26063 | 24 | 20s | ES | Spain | male | train |
50986 | 22 | 20s | PT | Portugal | male | train |
2501 | 39 | 30s | BE | Belgium | male | train |
73412 | 18 | 10s | FI | Finland | male | train |
931 | 39 | 30s | ES | Spain | male | train |
53106 | 19 | 10s | PL | Poland | female | train |
33410 | 42 | 40s | BY | Belarus | male | train |
62232 | 19 | 10s | ID | Indonesia | male | train |
17826 | 21 | 20s | BR | Brazil | male | train |
24852 | 19 | 10s | MA | Morocco | male | train |
38810 | 34 | 30s | US | United States | male | train |
30658 | 21 | 20s | IE | Ireland | male | train |
28400 | 28 | 20s | DE | Germany | male | train |
18171 | 21 | 20s | RU | Russia | male | train |
13279 | 28 | 20s | UK | United Kingdom | female | train |
66411 | 23 | 20s | US | United States | male | train |
98536 | 21 | 20s | PL | Poland | male | train |
24745 | 27 | 20s | MX | Mexico | female | train |
5866 | 19 | 10s | TW | Taiwan | male | train |
11303 | 21 | 20s | PL | Poland | female | train |
61985 | 30 | 30s | US | United States | male | train |
71864 | 16 | 10s | RU | Russia | male | train |
107946 | 14 | 10s | RS | Serbia | male | train |
3264 | 32 | 30s | TR | Turkey | male | train |
9395 | 24 | 20s | DK | Denmark | male | train |
16618 | 25 | 20s | ES | Spain | male | train |
67948 | 21 | 20s | US | United States | male | train |
33571 | 16 | 10s | FI | Finland | male | train |
80718 | 51 | 50s | NL | Netherlands | male | train |
6937 | 34 | 30s | DE | Germany | male | train |
417 | 25 | 20s | CA | Canada | female | train |
31914 | 27 | 20s | CA | Canada | female | train |
198 | 39 | 30s | US | United States | male | train |
27696 | 19 | 10s | BD | Bangladesh | male | train |
20404 | 24 | 20s | UA | Ukraine | male | train |
97334 | 19 | 10s | PL | Poland | female | train |
25320 | 35 | 30s | US | United States | male | train |
27037 | 26 | 20s | VE | Venezuela | male | train |
2641 | 34 | 30s | AT | Austria | male | train |
6742 | 23 | 20s | PL | Poland | male | train |
26107 | 15 | 10s | BR | Brazil | male | train |
41114 | 23 | 20s | FI | Finland | male | train |
25076 | 26 | 20s | CO | Colombia | female | train |
40190 | 23 | 20s | PL | Poland | female | train |
12974 | 22 | 20s | IL | Israel | female | train |
3121 | 25 | 20s | US | United States | male | train |
12083 | 22 | 20s | PL | Poland | male | train |
24111 | 22 | 20s | DE | Germany | male | train |
32882 | 24 | 20s | ES | Spain | male | train |
50632 | 35 | 30s | US | United States | female | train |
3918 | 27 | 20s | FR | France | male | train |
48354 | 17 | 10s | PL | Poland | female | train |
65355 | 19 | 10s | UK | United Kingdom | female | train |
57729 | 20 | 20s | US | United States | female | train |
28050 | 21 | 20s | PL | Poland | male | train |
11388 | 23 | 20s | AU | Australia | male | train |
60980 | 20 | 20s | AU | Australia | female | train |
24240 | 22 | 20s | US | United States | male | train |
3761 | 25 | 20s | PL | Poland | male | train |
75369 | 23 | 20s | US | United States | male | train |
67400 | 15 | 10s | PL | Poland | female | train |
55685 | 22 | 20s | RS | Serbia | male | train |
7576 | 25 | 20s | PL | Poland | male | train |
55349 | 20 | 20s | SK | Slovakia | female | train |
10580 | 23 | 20s | US | United States | male | train |
1700 | 27 | 20s | MX | Mexico | male | train |
2473 | 22 | 20s | US | United States | male | train |
64224 | 24 | 20s | BR | Brazil | male | train |
47201 | 19 | 10s | PL | Poland | male | train |
24173 | 25 | 20s | LV | Latvia | male | train |
20429 | 21 | 20s | US | United States | male | train |
46652 | 14 | 10s | BY | Belarus | male | train |
29518 | 21 | 20s | RU | Russia | male | train |
24996 | 26 | 20s | US | United States | male | train |
6688 | 23 | 20s | US | United States | male | train |
10761 | 21 | 20s | BR | Brazil | female | train |
2926 | 26 | 20s | IT | Italy | male | train |
70615 | 24 | 20s | ID | Indonesia | male | train |
34255 | 18 | 10s | BR | Brazil | male | train |
68985 | 36 | 30s | US | United States | female | train |
2746 | 29 | 20s | BR | Brazil | male | train |
43670 | 19 | 10s | BR | Brazil | male | train |
8025 | 28 | 20s | US | United States | male | train |
75472 | 21 | 20s | ID | Indonesia | male | train |
2229 | 26 | 20s | UK | United Kingdom | male | train |
69436 | 16 | 10s | BR | Brazil | female | train |
95819 | 18 | 10s | US | United States | female | train |
4529 | 23 | 20s | PL | Poland | male | train |
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