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 |
|---|---|---|---|---|---|---|
5352 | 23 | 20s | RU | Russia | female | train |
22972 | 23 | 20s | US | United States | male | train |
76284 | 16 | 10s | BR | Brazil | female | train |
20291 | 25 | 20s | CA | Canada | male | train |
19876 | 24 | 20s | UY | Uruguay | male | train |
99159 | 19 | 10s | US | United States | female | train |
43232 | 19 | 10s | BR | Brazil | male | train |
81201 | 17 | 10s | IT | Italy | male | train |
14662 | 20 | 20s | NL | Netherlands | male | train |
42533 | 21 | 20s | IN | India | male | train |
22992 | 21 | 20s | US | United States | female | train |
47082 | 20 | 20s | HR | Croatia | female | train |
58734 | 19 | 10s | US | United States | female | train |
48195 | 21 | 20s | US | United States | male | train |
66675 | 23 | 20s | ES | Spain | female | train |
12403 | 22 | 20s | BR | Brazil | female | train |
17628 | 21 | 20s | US | United States | female | train |
28986 | 25 | 20s | UK | United Kingdom | male | train |
12730 | 20 | 20s | SE | Sweden | female | train |
69158 | 37 | 30s | US | United States | male | train |
30670 | 25 | 20s | UK | United Kingdom | male | train |
1233 | 24 | 20s | US | United States | male | train |
7437 | 22 | 20s | AU | Australia | male | train |
7014 | 30 | 30s | NL | Netherlands | male | train |
67625 | 30 | 30s | MX | Mexico | male | train |
10998 | 20 | 20s | CA | Canada | female | train |
9920 | 31 | 30s | UK | United Kingdom | male | train |
8829 | 28 | 20s | UM | U.S. Minor Outlying Islands | female | train |
2878 | 37 | 30s | SE | Sweden | male | train |
22367 | 21 | 20s | US | United States | female | train |
13773 | 21 | 20s | PL | Poland | female | train |
50180 | 25 | 20s | NL | Netherlands | male | train |
62315 | 18 | 10s | UK | United Kingdom | male | train |
16246 | 26 | 20s | MX | Mexico | male | train |
14362 | 19 | 10s | BR | Brazil | male | train |
12791 | 23 | 20s | UK | United Kingdom | male | train |
1155 | 25 | 20s | US | United States | male | train |
2110 | 29 | 20s | US | United States | male | train |
20156 | 22 | 20s | RU | Russia | male | train |
29839 | 19 | 10s | PL | Poland | male | train |
73336 | 20 | 20s | RU | Russia | male | train |
51652 | 28 | 20s | US | United States | male | train |
13265 | 21 | 20s | BR | Brazil | female | train |
46575 | 17 | 10s | BR | Brazil | male | train |
67455 | 24 | 20s | RU | Russia | male | train |
22257 | 25 | 20s | US | United States | male | train |
36902 | 17 | 10s | PL | Poland | female | train |
28759 | 19 | 10s | US | United States | male | train |
38449 | 22 | 20s | CA | Canada | male | train |
8462 | 20 | 20s | US | United States | male | train |
3450 | 22 | 20s | PL | Poland | male | train |
78078 | 33 | 30s | PL | Poland | female | train |
22037 | 23 | 20s | RU | Russia | male | train |
63420 | 22 | 20s | DE | Germany | male | train |
18951 | 29 | 20s | CO | Colombia | male | train |
43184 | 23 | 20s | CZ | Czech Republic | male | train |
1105 | 24 | 20s | NO | Norway | male | train |
27670 | 23 | 20s | PL | Poland | male | train |
14229 | 26 | 20s | DE | Germany | male | train |
2447 | 39 | 30s | RU | Russia | male | train |
10042 | 23 | 20s | PL | Poland | male | train |
25995 | 27 | 20s | ES | Spain | male | train |
44568 | 19 | 10s | US | United States | female | train |
90724 | 21 | 20s | BR | Brazil | male | train |
19486 | 19 | 10s | US | United States | male | train |
2873 | 36 | 30s | CN | China | male | train |
33569 | 21 | 20s | NL | Netherlands | female | train |
54008 | 19 | 10s | BR | Brazil | male | train |
59295 | 29 | 20s | FR | France | male | train |
15109 | 26 | 20s | SV | El Salvador | male | train |
25729 | 22 | 20s | US | United States | male | train |
13718 | 22 | 20s | BR | Brazil | female | train |
1507 | 35 | 30s | CA | Canada | male | train |
11622 | 22 | 20s | LT | Lithuania | male | train |
957 | 24 | 20s | US | United States | male | train |
7454 | 29 | 20s | US | United States | female | train |
39127 | 21 | 20s | US | United States | female | train |
42530 | 24 | 20s | RU | Russia | male | train |
91963 | 18 | 10s | CL | Chile | male | train |
4504 | 28 | 20s | BR | Brazil | female | train |
21649 | 21 | 20s | MA | Morocco | male | train |
54485 | 27 | 20s | DE | Germany | male | train |
48472 | 20 | 20s | RU | Russia | female | train |
25958 | 25 | 20s | TR | Turkey | male | train |
3373 | 34 | 30s | US | United States | male | train |
17920 | 33 | 30s | CA | Canada | male | train |
3399 | 27 | 20s | UK | United Kingdom | male | train |
5366 | 23 | 20s | CL | Chile | male | train |
7273 | 23 | 20s | ES | Spain | female | train |
58005 | 19 | 10s | UA | Ukraine | male | train |
9615 | 26 | 20s | PL | Poland | male | train |
3874 | 22 | 20s | RU | Russia | male | train |
17277 | 24 | 20s | GE | Georgia | male | train |
9260 | 31 | 30s | DE | Germany | male | train |
9722 | 63 | 60+ | DE | Germany | male | train |
44328 | 23 | 20s | DE | Germany | female | train |
58450 | 18 | 10s | PL | Poland | female | train |
30893 | 24 | 20s | CA | Canada | male | train |
42733 | 18 | 10s | RU | Russia | male | train |
86725 | 22 | 20s | CH | Switzerland | female | train |
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