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 |
|---|---|---|---|---|---|---|
28995 | 25 | 20s | RU | Russia | male | train |
70425 | 19 | 10s | CN | China | female | train |
35432 | 19 | 10s | IT | Italy | male | train |
6022 | 22 | 20s | CZ | Czech Republic | male | train |
42165 | 18 | 10s | NO | Norway | male | train |
38728 | 19 | 10s | JP | Japan | female | train |
3523 | 32 | 30s | BR | Brazil | male | train |
26265 | 22 | 20s | NL | Netherlands | male | train |
63539 | 19 | 10s | ID | Indonesia | male | train |
93417 | 24 | 20s | AU | Australia | female | train |
76096 | 19 | 10s | UK | United Kingdom | male | train |
10383 | 34 | 30s | UA | Ukraine | male | train |
13789 | 21 | 20s | US | United States | male | train |
12479 | 30 | 30s | DE | Germany | male | train |
18111 | 21 | 20s | BE | Belgium | female | train |
4608 | 25 | 20s | US | United States | male | train |
41723 | 21 | 20s | BR | Brazil | male | train |
34037 | 20 | 20s | UK | United Kingdom | male | train |
27807 | 20 | 20s | RU | Russia | male | train |
21003 | 21 | 20s | PL | Poland | female | train |
51137 | 19 | 10s | AR | Argentina | male | train |
50944 | 20 | 20s | RU | Russia | male | train |
63946 | 21 | 20s | PL | Poland | male | train |
37457 | 21 | 20s | AU | Australia | male | train |
8516 | 22 | 20s | US | United States | male | train |
35494 | 22 | 20s | GR | Greece | male | train |
21386 | 17 | 10s | SE | Sweden | female | train |
23493 | 20 | 20s | CA | Canada | female | train |
54967 | 17 | 10s | UK | United Kingdom | female | train |
68968 | 22 | 20s | BR | Brazil | male | train |
1928 | 21 | 20s | UK | United Kingdom | male | train |
51759 | 24 | 20s | TR | Turkey | female | train |
38482 | 23 | 20s | US | United States | female | train |
22568 | 19 | 10s | UK | United Kingdom | female | train |
7134 | 22 | 20s | SE | Sweden | female | train |
3802 | 32 | 30s | UK | United Kingdom | male | train |
35454 | 23 | 20s | CA | Canada | male | train |
94782 | 42 | 40s | DK | Denmark | male | train |
57157 | 15 | 10s | RU | Russia | female | train |
5314 | 32 | 30s | CA | Canada | male | train |
27482 | 24 | 20s | MX | Mexico | male | train |
48084 | 19 | 10s | US | United States | male | train |
75912 | 18 | 10s | CA | Canada | male | train |
69663 | 18 | 10s | NL | Netherlands | female | train |
18718 | 21 | 20s | BR | Brazil | female | train |
64242 | 17 | 10s | DE | Germany | male | train |
9482 | 24 | 20s | PL | Poland | female | train |
57965 | 18 | 10s | RU | Russia | male | train |
8211 | 35 | 30s | UK | United Kingdom | male | train |
110399 | 16 | 10s | AU | Australia | male | train |
35318 | 18 | 10s | US | United States | male | train |
17880 | 32 | 30s | AT | Austria | male | train |
74540 | 19 | 10s | DE | Germany | male | train |
23980 | 29 | 20s | RU | Russia | male | train |
32408 | 22 | 20s | ES | Spain | male | train |
25703 | 34 | 30s | DE | Germany | male | train |
31671 | 19 | 10s | ID | Indonesia | female | train |
532 | 31 | 30s | CA | Canada | male | train |
29646 | 23 | 20s | BR | Brazil | male | train |
28432 | 19 | 10s | DE | Germany | male | train |
1520 | 43 | 40s | UK | United Kingdom | male | train |
8841 | 23 | 20s | US | United States | male | train |
10120 | 26 | 20s | DE | Germany | male | train |
57368 | 25 | 20s | DE | Germany | male | train |
8977 | 28 | 20s | TR | Turkey | male | train |
27311 | 18 | 10s | RU | Russia | male | train |
2437 | 24 | 20s | SE | Sweden | female | train |
9851 | 22 | 20s | US | United States | female | train |
48650 | 17 | 10s | NL | Netherlands | female | train |
77778 | 21 | 20s | IE | Ireland | male | train |
13969 | 20 | 20s | US | United States | female | train |
13413 | 21 | 20s | HU | Hungary | male | train |
47060 | 18 | 10s | PL | Poland | male | train |
15013 | 26 | 20s | AU | Australia | male | train |
12481 | 36 | 30s | JP | Japan | male | train |
14876 | 25 | 20s | PL | Poland | female | train |
9840 | 22 | 20s | MX | Mexico | female | train |
39183 | 20 | 20s | NL | Netherlands | male | train |
19053 | 23 | 20s | DE | Germany | male | train |
38608 | 18 | 10s | CH | Switzerland | female | train |
13664 | 29 | 20s | UK | United Kingdom | male | train |
37486 | 22 | 20s | LT | Lithuania | female | train |
15061 | 20 | 20s | RU | Russia | male | train |
21382 | 26 | 20s | PL | Poland | female | train |
8247 | 22 | 20s | UK | United Kingdom | female | train |
66261 | 22 | 20s | AU | Australia | male | train |
4624 | 25 | 20s | PL | Poland | female | train |
78613 | 14 | 10s | BR | Brazil | female | train |
118372 | 15 | 10s | BR | Brazil | male | train |
82812 | 26 | 20s | BR | Brazil | male | train |
97297 | 18 | 10s | US | United States | male | train |
4008 | 25 | 20s | PT | Portugal | male | train |
17564 | 23 | 20s | DE | Germany | female | train |
14325 | 22 | 20s | US | United States | male | train |
30262 | 25 | 20s | CZ | Czech Republic | male | train |
52826 | 20 | 20s | US | United States | male | train |
31048 | 19 | 10s | IL | Israel | female | train |
45707 | 37 | 30s | UK | United Kingdom | male | train |
62256 | 21 | 20s | UK | United Kingdom | male | train |
103804 | 24 | 20s | BR | Brazil | male | train |
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