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 |
|---|---|---|---|---|---|---|
26993 | 25 | 20s | US | United States | female | train |
24147 | 24 | 20s | BR | Brazil | female | train |
12236 | 21 | 20s | UK | United Kingdom | male | train |
43597 | 21 | 20s | PL | Poland | female | train |
32612 | 56 | 50s | NL | Netherlands | male | train |
39219 | 26 | 20s | RU | Russia | female | train |
21484 | 17 | 10s | UK | United Kingdom | male | train |
6422 | 26 | 20s | US | United States | female | train |
59270 | 20 | 20s | AU | Australia | male | train |
41720 | 18 | 10s | LT | Lithuania | male | train |
26236 | 23 | 20s | RU | Russia | male | train |
109414 | 31 | 30s | US | United States | male | train |
53804 | 20 | 20s | PL | Poland | female | train |
23446 | 20 | 20s | UK | United Kingdom | male | train |
31808 | 19 | 10s | RU | Russia | female | train |
45665 | 6 | 10s | US | United States | male | train |
35874 | 21 | 20s | PL | Poland | female | train |
60330 | 18 | 10s | RU | Russia | female | train |
49902 | 26 | 20s | DE | Germany | female | train |
46641 | 19 | 10s | RU | Russia | male | train |
5119 | 23 | 20s | FI | Finland | male | train |
28981 | 23 | 20s | DE | Germany | male | train |
30511 | 20 | 20s | UK | United Kingdom | male | train |
22514 | 32 | 30s | US | United States | male | train |
21750 | 19 | 10s | LT | Lithuania | male | train |
28409 | 22 | 20s | LU | Luxembourg | male | train |
9885 | 31 | 30s | US | United States | male | train |
50192 | 22 | 20s | BR | Brazil | male | train |
68836 | 22 | 20s | HR | Croatia | female | train |
34398 | 21 | 20s | FI | Finland | male | train |
21883 | 24 | 20s | BR | Brazil | female | train |
34505 | 22 | 20s | BR | Brazil | female | train |
28719 | 25 | 20s | BA | Bosnia and Herzegovina | male | train |
20395 | 24 | 20s | DE | Germany | male | train |
1019 | 47 | 40s | NL | Netherlands | male | train |
48832 | 23 | 20s | RU | Russia | male | train |
19462 | 32 | 30s | BR | Brazil | male | train |
67986 | 30 | 30s | FR | France | male | train |
62340 | 20 | 20s | US | United States | female | train |
41981 | 26 | 20s | TH | Thailand | male | train |
23240 | 20 | 20s | DE | Germany | male | train |
33338 | 23 | 20s | PL | Poland | male | train |
38201 | 25 | 20s | SE | Sweden | male | train |
36419 | 21 | 20s | PL | Poland | male | train |
28007 | 27 | 20s | BR | Brazil | female | train |
35474 | 26 | 20s | DE | Germany | male | train |
107883 | 14 | 10s | PL | Poland | male | train |
13470 | 31 | 30s | IT | Italy | male | train |
51920 | 17 | 10s | BR | Brazil | female | train |
59526 | 26 | 20s | US | United States | male | train |
54381 | 16 | 10s | NL | Netherlands | male | train |
10640 | 23 | 20s | US | United States | female | train |
17456 | 26 | 20s | US | United States | female | train |
20648 | 21 | 20s | BR | Brazil | male | train |
8269 | 24 | 20s | GR | Greece | male | train |
853 | 35 | 30s | BR | Brazil | male | train |
70677 | 21 | 20s | CZ | Czech Republic | male | train |
28281 | 26 | 20s | CR | Costa Rica | male | train |
18941 | 23 | 20s | BR | Brazil | male | train |
14030 | 20 | 20s | SE | Sweden | female | train |
22277 | 26 | 20s | MX | Mexico | male | train |
47617 | 19 | 10s | AR | Argentina | male | train |
54608 | 23 | 20s | BR | Brazil | female | train |
28806 | 18 | 10s | DE | Germany | male | train |
13049 | 25 | 20s | UK | United Kingdom | male | train |
71753 | 18 | 10s | BR | Brazil | male | train |
51467 | 17 | 10s | IT | Italy | male | train |
28964 | 23 | 20s | SE | Sweden | male | train |
11135 | 24 | 20s | US | United States | male | train |
27739 | 35 | 30s | NL | Netherlands | male | train |
30189 | 19 | 10s | US | United States | female | train |
13838 | 24 | 20s | SV | El Salvador | female | train |
42856 | 19 | 10s | US | United States | male | train |
45359 | 21 | 20s | BR | Brazil | female | train |
85247 | 54 | 50s | US | United States | male | train |
11252 | 31 | 30s | SE | Sweden | male | train |
38800 | 18 | 10s | BR | Brazil | female | train |
14386 | 22 | 20s | AU | Australia | female | train |
3226 | 26 | 20s | NO | Norway | male | train |
1367 | 25 | 20s | US | United States | female | train |
11841 | 18 | 10s | BR | Brazil | male | train |
64025 | 31 | 30s | US | United States | female | train |
64961 | 23 | 20s | ID | Indonesia | male | train |
59203 | 20 | 20s | BR | Brazil | female | train |
21079 | 23 | 20s | CA | Canada | male | train |
1096 | 28 | 20s | US | United States | male | train |
5010 | 21 | 20s | US | United States | male | train |
7709 | 29 | 20s | US | United States | male | train |
41117 | 16 | 10s | FI | Finland | male | train |
31822 | 32 | 30s | DE | Germany | male | train |
12910 | 24 | 20s | LK | Sri Lanka | male | train |
2676 | 24 | 20s | BR | Brazil | male | train |
46923 | 18 | 10s | UA | Ukraine | male | train |
28537 | 22 | 20s | FR | France | male | train |
6520 | 24 | 20s | TR | Turkey | female | train |
18552 | 32 | 30s | US | United States | male | train |
52849 | 22 | 20s | AR | Argentina | male | train |
5559 | 30 | 30s | AU | Australia | female | train |
16921 | 22 | 20s | PL | Poland | male | train |
24464 | 35 | 30s | US | United States | male | train |
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