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 |
|---|---|---|---|---|---|---|
12538 | 38 | 30s | BE | Belgium | male | train |
15105 | 28 | 20s | ES | Spain | female | train |
35266 | 18 | 10s | FR | France | female | train |
26969 | 23 | 20s | RU | Russia | male | train |
20686 | 22 | 20s | US | United States | male | train |
25348 | 30 | 30s | US | United States | male | train |
8843 | 22 | 20s | US | United States | female | train |
27783 | 22 | 20s | RU | Russia | male | train |
66655 | 17 | 10s | AU | Australia | male | train |
19278 | 20 | 20s | PL | Poland | male | train |
51557 | 17 | 10s | FI | Finland | male | train |
1001 | 25 | 20s | UK | United Kingdom | male | train |
17683 | 36 | 30s | JP | Japan | male | train |
84077 | 19 | 10s | CA | Canada | male | train |
1084 | 24 | 20s | IT | Italy | female | train |
24151 | 24 | 20s | PL | Poland | male | train |
21662 | 19 | 10s | FI | Finland | female | train |
25803 | 20 | 20s | DE | Germany | male | train |
30195 | 17 | 10s | AU | Australia | male | train |
56653 | 19 | 10s | NO | Norway | male | train |
33669 | 23 | 20s | RU | Russia | male | train |
59537 | 20 | 20s | UK | United Kingdom | male | train |
32076 | 24 | 20s | AU | Australia | male | train |
52698 | 25 | 20s | CZ | Czech Republic | male | train |
89047 | 20 | 20s | FR | France | female | train |
9308 | 25 | 20s | RO | Romania | male | train |
31218 | 19 | 10s | PL | Poland | male | train |
96828 | 22 | 20s | IT | Italy | male | train |
6964 | 29 | 20s | SE | Sweden | male | train |
45556 | 23 | 20s | RU | Russia | male | train |
111952 | 23 | 20s | RU | Russia | male | train |
8882 | 30 | 30s | PL | Poland | female | train |
39957 | 20 | 20s | BR | Brazil | female | train |
31221 | 28 | 20s | RU | Russia | male | train |
15702 | 19 | 10s | RU | Russia | male | train |
70392 | 27 | 20s | DE | Germany | male | train |
49470 | 20 | 20s | US | United States | female | train |
61090 | 18 | 10s | FI | Finland | male | train |
41427 | 18 | 10s | BR | Brazil | female | train |
6716 | 21 | 20s | LV | Latvia | female | train |
15393 | 21 | 20s | PL | Poland | male | train |
40122 | 19 | 10s | PL | Poland | female | train |
75006 | 19 | 10s | DE | Germany | male | train |
1952 | 29 | 20s | DE | Germany | male | train |
7502 | 32 | 30s | PF | French Polynesia | male | train |
114276 | 37 | 30s | SE | Sweden | male | train |
324 | 23 | 20s | US | United States | female | train |
50884 | 17 | 10s | RU | Russia | male | train |
33002 | 19 | 10s | UK | United Kingdom | female | train |
13549 | 25 | 20s | ID | Indonesia | female | train |
101490 | 19 | 10s | BR | Brazil | male | train |
36162 | 43 | 40s | US | United States | male | train |
12997 | 24 | 20s | BR | Brazil | female | train |
7326 | 33 | 30s | NL | Netherlands | male | train |
59456 | 18 | 10s | PL | Poland | male | train |
62738 | 24 | 20s | ID | Indonesia | male | train |
58324 | 21 | 20s | PL | Poland | female | train |
11583 | 23 | 20s | DE | Germany | male | train |
4087 | 22 | 20s | CH | Switzerland | female | train |
6222 | 45 | 40s | JP | Japan | male | train |
17897 | 21 | 20s | UK | United Kingdom | male | train |
19996 | 21 | 20s | PL | Poland | female | train |
51283 | 16 | 10s | BR | Brazil | female | train |
44830 | 17 | 10s | CC | Cocos Islands | female | train |
16787 | 56 | 50s | NZ | New Zealand | male | train |
59342 | 21 | 20s | ES | Spain | female | train |
18294 | 19 | 10s | US | United States | male | train |
51901 | 19 | 10s | ES | Spain | male | train |
28233 | 24 | 20s | UA | Ukraine | male | train |
8018 | 18 | 10s | PL | Poland | male | train |
13653 | 22 | 20s | ES | Spain | male | train |
3433 | 26 | 20s | US | United States | male | train |
36014 | 31 | 30s | UK | United Kingdom | male | train |
28163 | 23 | 20s | CZ | Czech Republic | male | train |
44457 | 16 | 10s | UK | United Kingdom | male | train |
47461 | 28 | 20s | PL | Poland | male | train |
11986 | 27 | 20s | UK | United Kingdom | male | train |
2203 | 25 | 20s | US | United States | male | train |
37528 | 21 | 20s | BR | Brazil | male | train |
9139 | 23 | 20s | RU | Russia | female | train |
36477 | 18 | 10s | PL | Poland | female | train |
58045 | 24 | 20s | BY | Belarus | male | train |
35799 | 22 | 20s | PL | Poland | female | train |
31494 | 20 | 20s | US | United States | female | train |
21957 | 27 | 20s | EG | Egypt | male | train |
49396 | 24 | 20s | US | United States | female | train |
54597 | 16 | 10s | AU | Australia | female | train |
36454 | 27 | 20s | CA | Canada | female | train |
16522 | 31 | 30s | PL | Poland | male | train |
66552 | 30 | 30s | BR | Brazil | male | train |
99157 | 23 | 20s | SE | Sweden | female | train |
30700 | 18 | 10s | IT | Italy | male | train |
40959 | 18 | 10s | RU | Russia | female | train |
18969 | 21 | 20s | PL | Poland | female | train |
106848 | 18 | 10s | BR | Brazil | male | train |
57767 | 14 | 10s | BR | Brazil | male | train |
38814 | 19 | 10s | PL | Poland | female | train |
16033 | 20 | 20s | US | United States | female | train |
38575 | 26 | 20s | HU | Hungary | male | train |
61382 | 20 | 20s | BR | Brazil | female | train |
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