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 |
|---|---|---|---|---|---|---|
30668 | 30 | 30s | BR | Brazil | male | train |
15568 | 21 | 20s | LV | Latvia | female | train |
4733 | 27 | 20s | FI | Finland | male | train |
106650 | 31 | 30s | RU | Russia | male | train |
14108 | 29 | 20s | PL | Poland | male | train |
23133 | 24 | 20s | RU | Russia | male | train |
49371 | 20 | 20s | RU | Russia | male | train |
20873 | 22 | 20s | BR | Brazil | male | train |
84833 | 32 | 30s | SE | Sweden | male | train |
8481 | 23 | 20s | BR | Brazil | female | train |
44736 | 29 | 20s | BR | Brazil | male | train |
8200 | 22 | 20s | BR | Brazil | female | train |
11540 | 24 | 20s | UK | United Kingdom | male | train |
10467 | 22 | 20s | UK | United Kingdom | female | train |
10519 | 21 | 20s | PL | Poland | female | train |
13412 | 26 | 20s | US | United States | male | train |
74670 | 19 | 10s | US | United States | female | train |
42037 | 20 | 20s | MX | Mexico | male | train |
23940 | 36 | 30s | US | United States | male | train |
20719 | 18 | 10s | FI | Finland | male | train |
48579 | 24 | 20s | UK | United Kingdom | male | train |
13865 | 27 | 20s | UA | Ukraine | male | train |
10000 | 28 | 20s | BR | Brazil | male | train |
13061 | 27 | 20s | US | United States | male | train |
31811 | 24 | 20s | RU | Russia | female | train |
4666 | 47 | 40s | US | United States | male | train |
16249 | 34 | 30s | RU | Russia | male | train |
23012 | 27 | 20s | FR | France | male | train |
6338 | 26 | 20s | TR | Turkey | male | train |
49664 | 19 | 10s | RU | Russia | male | train |
53700 | 28 | 20s | HU | Hungary | male | train |
53906 | 24 | 20s | SG | Singapore | female | train |
16283 | 20 | 20s | BR | Brazil | male | train |
6871 | 24 | 20s | BR | Brazil | male | train |
926 | 31 | 30s | US | United States | male | train |
5343 | 40 | 40s | DE | Germany | male | train |
59680 | 19 | 10s | BG | Bulgaria | female | train |
15889 | 29 | 20s | DE | Germany | male | train |
38683 | 20 | 20s | PL | Poland | male | train |
35656 | 18 | 10s | DE | Germany | male | train |
18923 | 32 | 30s | ES | Spain | male | train |
23037 | 24 | 20s | PL | Poland | female | train |
33453 | 20 | 20s | DE | Germany | male | train |
21862 | 21 | 20s | US | United States | male | train |
4690 | 29 | 20s | ZA | South Africa | male | train |
38808 | 24 | 20s | AU | Australia | male | train |
38543 | 25 | 20s | UK | United Kingdom | male | train |
20600 | 28 | 20s | AU | Australia | male | train |
65411 | 23 | 20s | TN | Tunisia | male | train |
13277 | 28 | 20s | BR | Brazil | male | train |
2071 | 35 | 30s | ES | Spain | male | train |
20199 | 25 | 20s | BR | Brazil | male | train |
6246 | 22 | 20s | LT | Lithuania | male | train |
51251 | 22 | 20s | US | United States | male | train |
4376 | 25 | 20s | FR | France | female | train |
3908 | 31 | 30s | JP | Japan | male | train |
50995 | 28 | 20s | NL | Netherlands | male | train |
61240 | 22 | 20s | IT | Italy | female | train |
37597 | 17 | 10s | BR | Brazil | female | train |
20424 | 28 | 20s | HU | Hungary | male | train |
10423 | 23 | 20s | PL | Poland | male | train |
18668 | 21 | 20s | UK | United Kingdom | male | train |
46149 | 21 | 20s | ID | Indonesia | female | train |
21150 | 21 | 20s | DK | Denmark | male | train |
6158 | 27 | 20s | CH | Switzerland | female | train |
73180 | 25 | 20s | US | United States | female | train |
32583 | 20 | 20s | BR | Brazil | male | train |
32581 | 39 | 30s | PL | Poland | female | train |
38849 | 20 | 20s | PL | Poland | female | train |
79237 | 17 | 10s | MX | Mexico | female | train |
9579 | 36 | 30s | PL | Poland | male | train |
50788 | 18 | 10s | DE | Germany | male | train |
45968 | 21 | 20s | FI | Finland | male | train |
9787 | 7 | 10s | BR | Brazil | male | train |
45045 | 26 | 20s | DE | Germany | male | train |
45848 | 18 | 10s | BR | Brazil | male | train |
69152 | 20 | 20s | DE | Germany | female | train |
22185 | 27 | 20s | PL | Poland | male | train |
25616 | 18 | 10s | NO | Norway | male | train |
65721 | 28 | 20s | US | United States | female | train |
9520 | 25 | 20s | IR | Iran | male | train |
33884 | 20 | 20s | RU | Russia | male | train |
37752 | 17 | 10s | BR | Brazil | female | train |
9064 | 24 | 20s | ES | Spain | male | train |
27728 | 20 | 20s | BR | Brazil | male | train |
16656 | 26 | 20s | CL | Chile | male | train |
54374 | 24 | 20s | SK | Slovakia | female | train |
17775 | 20 | 20s | PL | Poland | female | train |
60775 | 30 | 30s | US | United States | female | train |
18422 | 23 | 20s | BR | Brazil | male | train |
44652 | 20 | 20s | ID | Indonesia | male | train |
12882 | 24 | 20s | UK | United Kingdom | male | train |
45857 | 20 | 20s | DE | Germany | male | train |
37679 | 19 | 10s | CA | Canada | female | train |
44311 | 20 | 20s | JP | Japan | male | train |
22818 | 19 | 10s | PL | Poland | male | train |
7514 | 22 | 20s | AT | Austria | male | train |
57435 | 22 | 20s | BY | Belarus | male | train |
30051 | 23 | 20s | RU | Russia | male | train |
8442 | 24 | 20s | US | United States | female | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.