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 |
|---|---|---|---|---|---|---|
19986 | 23 | 20s | IT | Italy | male | train |
64881 | 19 | 10s | HR | Croatia | male | train |
7091 | 23 | 20s | UK | United Kingdom | male | train |
44189 | 22 | 20s | DE | Germany | male | train |
35099 | 21 | 20s | ID | Indonesia | female | train |
7865 | 37 | 30s | UK | United Kingdom | male | train |
10371 | 26 | 20s | CA | Canada | male | train |
36721 | 19 | 10s | BR | Brazil | male | train |
36641 | 18 | 10s | UA | Ukraine | female | train |
352 | 36 | 30s | CA | Canada | male | train |
1675 | 22 | 20s | SE | Sweden | male | train |
66958 | 23 | 20s | HU | Hungary | male | train |
763 | 30 | 30s | UK | United Kingdom | male | train |
18585 | 25 | 20s | RS | Serbia | female | train |
34229 | 19 | 10s | RU | Russia | female | train |
67687 | 22 | 20s | BR | Brazil | female | train |
2363 | 24 | 20s | BE | Belgium | male | train |
6278 | 28 | 20s | FI | Finland | male | train |
27233 | 42 | 40s | UK | United Kingdom | male | train |
259 | 28 | 20s | US | United States | male | train |
37670 | 20 | 20s | BR | Brazil | male | train |
25179 | 21 | 20s | PL | Poland | male | train |
38872 | 24 | 20s | BR | Brazil | female | train |
45858 | 17 | 10s | AU | Australia | male | train |
24572 | 19 | 10s | NL | Netherlands | female | train |
20250 | 38 | 30s | NO | Norway | male | train |
72180 | 19 | 10s | UK | United Kingdom | female | train |
56423 | 24 | 20s | US | United States | male | train |
16876 | 22 | 20s | LV | Latvia | male | train |
3676 | 26 | 20s | US | United States | male | train |
5980 | 22 | 20s | HR | Croatia | male | train |
12329 | 20 | 20s | TR | Turkey | male | train |
15965 | 20 | 20s | DE | Germany | female | train |
11272 | 21 | 20s | PL | Poland | female | train |
28512 | 19 | 10s | PL | Poland | male | train |
25893 | 20 | 20s | BR | Brazil | male | train |
9939 | 21 | 20s | PL | Poland | female | train |
8165 | 24 | 20s | SE | Sweden | male | train |
37669 | 22 | 20s | US | United States | female | train |
65058 | 25 | 20s | RU | Russia | male | train |
15357 | 22 | 20s | FI | Finland | male | train |
90582 | 20 | 20s | FR | France | male | train |
118405 | 35 | 30s | ID | Indonesia | male | train |
28473 | 30 | 30s | GR | Greece | female | train |
28353 | 26 | 20s | ES | Spain | male | train |
14545 | 21 | 20s | FI | Finland | female | train |
906 | 22 | 20s | NO | Norway | male | train |
4024 | 28 | 20s | DE | Germany | male | train |
30954 | 21 | 20s | NO | Norway | male | train |
47993 | 17 | 10s | BR | Brazil | male | train |
62371 | 27 | 20s | RU | Russia | male | train |
61 | 30 | 30s | US | United States | male | train |
48768 | 32 | 30s | US | United States | male | train |
17840 | 25 | 20s | SI | Slovenia | male | train |
11095 | 27 | 20s | RU | Russia | male | train |
12929 | 22 | 20s | DE | Germany | male | train |
16650 | 24 | 20s | PL | Poland | female | train |
55704 | 24 | 20s | US | United States | female | train |
4648 | 27 | 20s | DE | Germany | male | train |
2502 | 30 | 30s | SE | Sweden | male | train |
10291 | 24 | 20s | UK | United Kingdom | male | train |
87447 | 21 | 20s | RU | Russia | male | train |
8832 | 28 | 20s | DE | Germany | male | train |
68299 | 18 | 10s | HU | Hungary | male | train |
60917 | 22 | 20s | FR | France | male | train |
33683 | 19 | 10s | PL | Poland | female | train |
103327 | 32 | 30s | US | United States | male | train |
7716 | 25 | 20s | US | United States | male | train |
3218 | 23 | 20s | US | United States | male | train |
32369 | 28 | 20s | UA | Ukraine | female | train |
120309 | 43 | 40s | JP | Japan | male | train |
31320 | 20 | 20s | BR | Brazil | male | train |
43496 | 22 | 20s | ES | Spain | female | train |
58446 | 16 | 10s | PL | Poland | male | train |
21106 | 40 | 40s | NL | Netherlands | male | train |
24455 | 21 | 20s | RU | Russia | male | train |
4660 | 19 | 10s | UK | United Kingdom | male | train |
71855 | 17 | 10s | NO | Norway | male | train |
4737 | 29 | 20s | US | United States | male | train |
21714 | 19 | 10s | CA | Canada | male | train |
27408 | 25 | 20s | UA | Ukraine | male | train |
26445 | 22 | 20s | US | United States | male | train |
12094 | 21 | 20s | PL | Poland | female | train |
10235 | 22 | 20s | PL | Poland | male | train |
67371 | 17 | 10s | BR | Brazil | male | train |
21693 | 23 | 20s | AU | Australia | male | train |
21818 | 22 | 20s | VE | Venezuela | male | train |
20796 | 21 | 20s | UK | United Kingdom | male | train |
15179 | 25 | 20s | VE | Venezuela | male | train |
49645 | 26 | 20s | BR | Brazil | male | train |
46810 | 17 | 10s | BR | Brazil | female | train |
47246 | 22 | 20s | PL | Poland | male | train |
56450 | 20 | 20s | AR | Argentina | male | train |
53876 | 19 | 10s | NZ | New Zealand | female | train |
28467 | 23 | 20s | CO | Colombia | male | train |
970 | 28 | 20s | US | United States | female | train |
33737 | 31 | 30s | US | United States | female | train |
32872 | 16 | 10s | PL | Poland | male | train |
1927 | 29 | 20s | US | United States | male | train |
15996 | 26 | 20s | UK | United Kingdom | male | train |
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