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 |
|---|---|---|---|---|---|---|
49228 | 19 | 10s | MX | Mexico | female | train |
28026 | 25 | 20s | PL | Poland | female | train |
11483 | 23 | 20s | PL | Poland | male | train |
5695 | 27 | 20s | AU | Australia | male | train |
51177 | 43 | 40s | UK | United Kingdom | male | train |
75440 | 25 | 20s | SE | Sweden | male | train |
19602 | 23 | 20s | BR | Brazil | male | train |
36860 | 24 | 20s | GT | Guatemala | male | train |
7193 | 55 | 50s | US | United States | female | train |
10343 | 21 | 20s | VE | Venezuela | female | train |
17416 | 25 | 20s | US | United States | male | train |
30496 | 22 | 20s | UK | United Kingdom | male | train |
14113 | 25 | 20s | BR | Brazil | male | train |
44850 | 20 | 20s | BY | Belarus | female | train |
53610 | 21 | 20s | US | United States | male | train |
5890 | 24 | 20s | NO | Norway | male | train |
10245 | 37 | 30s | CA | Canada | female | train |
4796 | 21 | 20s | PT | Portugal | male | train |
44182 | 21 | 20s | NO | Norway | male | train |
70756 | 36 | 30s | US | United States | male | train |
47561 | 27 | 20s | BR | Brazil | male | train |
6882 | 29 | 20s | ES | Spain | male | train |
33378 | 23 | 20s | RU | Russia | male | train |
25271 | 20 | 20s | IS | Iceland | male | train |
21499 | 21 | 20s | DE | Germany | male | train |
66694 | 17 | 10s | BR | Brazil | male | train |
50877 | 20 | 20s | UK | United Kingdom | male | train |
38405 | 22 | 20s | UK | United Kingdom | male | train |
37960 | 28 | 20s | PL | Poland | male | train |
1986 | 25 | 20s | RU | Russia | male | train |
20707 | 29 | 20s | UK | United Kingdom | male | train |
18215 | 41 | 40s | UK | United Kingdom | male | train |
15651 | 21 | 20s | RU | Russia | male | train |
5777 | 22 | 20s | CA | Canada | male | train |
8363 | 30 | 30s | RU | Russia | male | train |
28843 | 23 | 20s | UK | United Kingdom | male | train |
30333 | 26 | 20s | RS | Serbia | male | train |
11313 | 26 | 20s | RU | Russia | female | train |
5698 | 26 | 20s | US | United States | male | train |
54580 | 22 | 20s | DE | Germany | male | train |
24675 | 30 | 30s | MX | Mexico | male | train |
46026 | 23 | 20s | NO | Norway | male | train |
51781 | 48 | 40s | SE | Sweden | male | train |
886 | 35 | 30s | JP | Japan | male | train |
15307 | 23 | 20s | UK | United Kingdom | male | train |
2311 | 29 | 20s | US | United States | male | train |
7773 | 23 | 20s | UK | United Kingdom | male | train |
89956 | 19 | 10s | DE | Germany | male | train |
17373 | 22 | 20s | PL | Poland | female | train |
48696 | 21 | 20s | BR | Brazil | male | train |
4889 | 33 | 30s | BR | Brazil | male | train |
105768 | 19 | 10s | US | United States | female | train |
8780 | 23 | 20s | UK | United Kingdom | male | train |
21119 | 19 | 10s | US | United States | female | train |
42446 | 23 | 20s | UK | United Kingdom | male | train |
7142 | 27 | 20s | PL | Poland | male | train |
31096 | 32 | 30s | AU | Australia | male | train |
19163 | 26 | 20s | LT | Lithuania | female | train |
50693 | 19 | 10s | RU | Russia | male | train |
15606 | 23 | 20s | AU | Australia | female | train |
6439 | 23 | 20s | NO | Norway | female | train |
68542 | 20 | 20s | CA | Canada | female | train |
2888 | 30 | 30s | NO | Norway | male | train |
3236 | 62 | 60+ | NL | Netherlands | female | train |
20862 | 32 | 30s | US | United States | male | train |
45723 | 23 | 20s | DE | Germany | male | train |
7962 | 46 | 40s | UK | United Kingdom | male | train |
62809 | 16 | 10s | PL | Poland | male | train |
1351 | 38 | 30s | BR | Brazil | male | train |
32426 | 40 | 40s | UK | United Kingdom | male | train |
17674 | 21 | 20s | US | United States | female | train |
8272 | 25 | 20s | US | United States | male | train |
50429 | 17 | 10s | AU | Australia | male | train |
19900 | 27 | 20s | DE | Germany | male | train |
53420 | 21 | 20s | VE | Venezuela | female | train |
16200 | 21 | 20s | PL | Poland | male | train |
45739 | 22 | 20s | RU | Russia | male | train |
49472 | 27 | 20s | BR | Brazil | female | train |
38019 | 25 | 20s | UK | United Kingdom | male | train |
45585 | 19 | 10s | BR | Brazil | male | train |
14718 | 19 | 10s | RU | Russia | female | train |
12970 | 21 | 20s | RS | Serbia | male | train |
51187 | 16 | 10s | RU | Russia | male | train |
47933 | 23 | 20s | EG | Egypt | male | train |
9044 | 21 | 20s | BE | Belgium | female | train |
27161 | 19 | 10s | CZ | Czech Republic | male | train |
50999 | 22 | 20s | US | United States | female | train |
15596 | 25 | 20s | AT | Austria | male | train |
28104 | 38 | 30s | PL | Poland | male | train |
85679 | 16 | 10s | BR | Brazil | male | train |
74864 | 18 | 10s | PL | Poland | female | train |
12622 | 21 | 20s | UK | United Kingdom | male | train |
34936 | 21 | 20s | ID | Indonesia | male | train |
54923 | 20 | 20s | PL | Poland | female | train |
9146 | 23 | 20s | PL | Poland | male | train |
3196 | 25 | 20s | CZ | Czech Republic | male | train |
15151 | 22 | 20s | AR | Argentina | male | train |
9007 | 20 | 20s | UK | United Kingdom | male | train |
9185 | 35 | 30s | PL | Poland | male | train |
475 | 37 | 30s | FI | Finland | male | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.