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 |
|---|---|---|---|---|---|---|
47965 | 24 | 20s | US | United States | female | train |
3774 | 29 | 20s | NL | Netherlands | female | train |
7993 | 22 | 20s | AU | Australia | male | train |
24474 | 19 | 10s | AT | Austria | male | train |
60487 | 17 | 10s | US | United States | female | train |
28293 | 20 | 20s | US | United States | female | train |
62931 | 19 | 10s | ID | Indonesia | male | train |
42923 | 18 | 10s | BR | Brazil | female | train |
18950 | 22 | 20s | PL | Poland | male | train |
21803 | 21 | 20s | BR | Brazil | male | train |
3680 | 22 | 20s | US | United States | male | train |
15441 | 26 | 20s | US | United States | male | train |
2453 | 27 | 20s | SE | Sweden | male | train |
12779 | 24 | 20s | ES | Spain | male | train |
2836 | 24 | 20s | CA | Canada | female | train |
70745 | 15 | 10s | DE | Germany | male | train |
27010 | 18 | 10s | PL | Poland | female | train |
70526 | 17 | 10s | RU | Russia | male | train |
71912 | 17 | 10s | ID | Indonesia | male | train |
63428 | 25 | 20s | PL | Poland | female | train |
2689 | 26 | 20s | VN | Vietnam | male | train |
27775 | 46 | 40s | UA | Ukraine | male | train |
45595 | 18 | 10s | BR | Brazil | male | train |
3110 | 29 | 20s | SE | Sweden | male | train |
48251 | 29 | 20s | US | United States | male | train |
41545 | 36 | 30s | US | United States | male | train |
60523 | 19 | 10s | AR | Argentina | female | train |
2003 | 26 | 20s | US | United States | male | train |
5421 | 32 | 30s | CA | Canada | male | train |
12219 | 25 | 20s | US | United States | male | train |
14251 | 32 | 30s | NZ | New Zealand | male | train |
75434 | 18 | 10s | US | United States | male | train |
21776 | 22 | 20s | SE | Sweden | male | train |
25283 | 21 | 20s | RU | Russia | male | train |
2204 | 30 | 30s | FI | Finland | male | train |
24692 | 19 | 10s | PL | Poland | female | train |
36451 | 30 | 30s | UK | United Kingdom | female | train |
35317 | 20 | 20s | CA | Canada | female | train |
12106 | 29 | 20s | CH | Switzerland | male | train |
1126 | 25 | 20s | UK | United Kingdom | female | train |
97236 | 17 | 10s | UK | United Kingdom | male | train |
12573 | 24 | 20s | US | United States | male | train |
1616 | 24 | 20s | RU | Russia | male | train |
18116 | 40 | 40s | NL | Netherlands | male | train |
18049 | 41 | 40s | UK | United Kingdom | male | train |
29512 | 21 | 20s | ES | Spain | male | train |
24804 | 24 | 20s | PL | Poland | female | train |
58033 | 38 | 30s | AU | Australia | male | train |
69095 | 18 | 10s | PL | Poland | male | train |
2638 | 24 | 20s | US | United States | male | train |
21178 | 23 | 20s | US | United States | female | train |
35966 | 23 | 20s | SK | Slovakia | female | train |
7192 | 36 | 30s | FI | Finland | female | train |
24643 | 29 | 20s | FI | Finland | male | train |
12600 | 20 | 20s | MX | Mexico | male | train |
12916 | 20 | 20s | PL | Poland | male | train |
64728 | 20 | 20s | MX | Mexico | male | train |
13625 | 21 | 20s | BR | Brazil | male | train |
56694 | 24 | 20s | BR | Brazil | male | train |
32971 | 23 | 20s | MX | Mexico | male | train |
40058 | 18 | 10s | US | United States | female | train |
16645 | 28 | 20s | US | United States | male | train |
16435 | 24 | 20s | US | United States | female | train |
37403 | 19 | 10s | PL | Poland | female | train |
24312 | 26 | 20s | DE | Germany | male | train |
15480 | 23 | 20s | BR | Brazil | male | train |
32262 | 24 | 20s | FR | France | male | train |
7620 | 25 | 20s | NL | Netherlands | male | train |
40472 | 26 | 20s | US | United States | female | train |
66125 | 20 | 20s | MX | Mexico | male | train |
12125 | 21 | 20s | PL | Poland | male | train |
50405 | 21 | 20s | US | United States | male | train |
74224 | 22 | 20s | US | United States | male | train |
89473 | 19 | 10s | BR | Brazil | male | train |
1597 | 27 | 20s | UK | United Kingdom | male | train |
45486 | 18 | 10s | BR | Brazil | male | train |
34394 | 19 | 10s | UK | United Kingdom | female | train |
19204 | 24 | 20s | VE | Venezuela | male | train |
6025 | 24 | 20s | DE | Germany | male | train |
110773 | 14 | 10s | BR | Brazil | female | train |
54614 | 18 | 10s | US | United States | male | train |
35517 | 23 | 20s | PL | Poland | female | train |
23938 | 30 | 30s | DE | Germany | male | train |
27071 | 20 | 20s | UK | United Kingdom | male | train |
17390 | 34 | 30s | CL | Chile | male | train |
11391 | 20 | 20s | PL | Poland | male | train |
18989 | 30 | 30s | BR | Brazil | male | train |
1200 | 26 | 20s | NL | Netherlands | male | train |
1926 | 27 | 20s | RO | Romania | male | train |
3494 | 23 | 20s | NL | Netherlands | female | train |
38632 | 19 | 10s | PL | Poland | female | train |
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