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 |
|---|---|---|---|---|---|---|
10041 | 31 | 30s | UA | Ukraine | male | train |
31373 | 24 | 20s | ID | Indonesia | male | train |
23911 | 26 | 20s | US | United States | male | train |
66951 | 21 | 20s | DE | Germany | male | train |
72424 | 24 | 20s | AU | Australia | male | train |
37440 | 19 | 10s | PL | Poland | male | train |
840 | 32 | 30s | LB | Lebanon | male | train |
39001 | 17 | 10s | PL | Poland | female | train |
16174 | 22 | 20s | SI | Slovenia | male | train |
22690 | 22 | 20s | ES | Spain | male | train |
10355 | 31 | 30s | PL | Poland | male | train |
21344 | 24 | 20s | US | United States | male | train |
57156 | 17 | 10s | SE | Sweden | male | train |
11855 | 28 | 20s | US | United States | male | train |
66814 | 32 | 30s | US | United States | male | train |
18755 | 21 | 20s | RU | Russia | male | train |
2681 | 26 | 20s | RU | Russia | male | train |
24753 | 27 | 20s | RU | Russia | male | train |
25322 | 23 | 20s | RU | Russia | male | train |
65008 | 17 | 10s | HU | Hungary | female | train |
40157 | 20 | 20s | BR | Brazil | male | train |
58236 | 19 | 10s | UK | United Kingdom | female | train |
63913 | 24 | 20s | US | United States | male | train |
19046 | 22 | 20s | US | United States | female | train |
29971 | 48 | 40s | IE | Ireland | male | train |
50087 | 21 | 20s | ES | Spain | male | train |
33977 | 24 | 20s | IN | India | male | train |
47448 | 26 | 20s | US | United States | female | train |
6176 | 26 | 20s | FI | Finland | male | train |
21677 | 18 | 10s | US | United States | male | train |
62459 | 19 | 10s | UK | United Kingdom | male | train |
9082 | 19 | 10s | UK | United Kingdom | male | train |
24636 | 41 | 40s | UK | United Kingdom | male | train |
42601 | 20 | 20s | DE | Germany | female | train |
9753 | 26 | 20s | US | United States | male | train |
49762 | 20 | 20s | MX | Mexico | male | train |
4969 | 37 | 30s | IT | Italy | male | train |
9428 | 23 | 20s | US | United States | female | train |
1335 | 28 | 20s | FI | Finland | male | train |
12280 | 45 | 40s | ES | Spain | male | train |
9306 | 24 | 20s | US | United States | male | train |
72095 | 20 | 20s | ID | Indonesia | male | train |
59767 | 30 | 30s | AE | United Arab Emirates | female | train |
5747 | 21 | 20s | PL | Poland | male | train |
24667 | 22 | 20s | UK | United Kingdom | male | train |
14004 | 26 | 20s | UK | United Kingdom | male | train |
45089 | 20 | 20s | CN | China | male | train |
7808 | 45 | 40s | IT | Italy | male | train |
37443 | 27 | 20s | UK | United Kingdom | male | train |
58056 | 20 | 20s | IT | Italy | male | train |
1540 | 32 | 30s | UK | United Kingdom | male | train |
12 | 33 | 30s | US | United States | male | train |
75543 | 17 | 10s | AU | Australia | male | train |
6250 | 23 | 20s | UK | United Kingdom | male | train |
18139 | 28 | 20s | CH | Switzerland | male | train |
16282 | 23 | 20s | RU | Russia | male | train |
64400 | 18 | 10s | PL | Poland | male | train |
29850 | 33 | 30s | CA | Canada | male | train |
13581 | 22 | 20s | RU | Russia | male | train |
44144 | 21 | 20s | UA | Ukraine | male | train |
63231 | 20 | 20s | ES | Spain | male | train |
17427 | 21 | 20s | PL | Poland | female | train |
5790 | 28 | 20s | PL | Poland | male | train |
46147 | 21 | 20s | RU | Russia | female | train |
3368 | 22 | 20s | UK | United Kingdom | male | train |
40296 | 26 | 20s | PL | Poland | male | train |
3877 | 25 | 20s | HR | Croatia | male | train |
33455 | 29 | 20s | TN | Tunisia | male | train |
64482 | 22 | 20s | AU | Australia | male | train |
1655 | 32 | 30s | US | United States | female | train |
5169 | 23 | 20s | UK | United Kingdom | female | train |
31486 | 23 | 20s | BR | Brazil | male | train |
12812 | 23 | 20s | BR | Brazil | male | train |
16309 | 26 | 20s | PL | Poland | male | train |
9557 | 34 | 30s | UK | United Kingdom | male | train |
28075 | 24 | 20s | UK | United Kingdom | female | train |
30264 | 19 | 10s | US | United States | female | train |
93414 | 20 | 20s | AU | Australia | female | train |
54389 | 20 | 20s | CA | Canada | male | train |
1151 | 39 | 30s | UK | United Kingdom | female | train |
30375 | 20 | 20s | PL | Poland | male | train |
18133 | 21 | 20s | NL | Netherlands | male | train |
8444 | 22 | 20s | UK | United Kingdom | female | train |
8311 | 21 | 20s | US | United States | female | train |
11569 | 30 | 30s | NL | Netherlands | male | train |
71127 | 16 | 10s | IT | Italy | male | train |
69730 | 25 | 20s | CL | Chile | male | train |
51132 | 20 | 20s | UK | United Kingdom | female | train |
34944 | 24 | 20s | PL | Poland | male | train |
14480 | 20 | 20s | US | United States | male | train |
45056 | 30 | 30s | ZA | South Africa | male | train |
25119 | 23 | 20s | UK | United Kingdom | male | train |
112233 | 19 | 10s | BR | Brazil | female | train |
113633 | 30 | 30s | FR | France | male | train |
45756 | 20 | 20s | RU | Russia | male | train |
1729 | 22 | 20s | US | United States | male | train |
60806 | 17 | 10s | BR | Brazil | male | train |
32543 | 19 | 10s | BR | Brazil | male | train |
64944 | 24 | 20s | BR | Brazil | male | train |
13507 | 22 | 20s | CA | Canada | male | train |
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