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 |
|---|---|---|---|---|---|---|
28830 | 20 | 20s | US | United States | male | train |
35188 | 20 | 20s | CA | Canada | male | train |
35784 | 19 | 10s | US | United States | male | train |
37554 | 17 | 10s | PL | Poland | male | train |
58437 | 23 | 20s | BR | Brazil | female | train |
8024 | 30 | 30s | US | United States | female | train |
8150 | 24 | 20s | PL | Poland | male | train |
21309 | 25 | 20s | UK | United Kingdom | male | train |
4255 | 19 | 10s | SE | Sweden | female | train |
9208 | 20 | 20s | DE | Germany | male | train |
20608 | 24 | 20s | PL | Poland | male | train |
19695 | 25 | 20s | PY | Paraguay | female | train |
25917 | 20 | 20s | NL | Netherlands | female | train |
6095 | 22 | 20s | NO | Norway | male | train |
1407 | 25 | 20s | AU | Australia | male | train |
87067 | 16 | 10s | PL | Poland | male | train |
24202 | 48 | 40s | US | United States | male | train |
27464 | 21 | 20s | FI | Finland | male | train |
18299 | 19 | 10s | US | United States | female | train |
52356 | 16 | 10s | PL | Poland | male | train |
25270 | 51 | 50s | JP | Japan | male | train |
13190 | 21 | 20s | PL | Poland | female | train |
56739 | 20 | 20s | US | United States | female | train |
22339 | 22 | 20s | UK | United Kingdom | male | train |
17996 | 23 | 20s | US | United States | female | train |
20544 | 21 | 20s | IL | Israel | male | train |
32512 | 23 | 20s | FR | France | female | train |
1912 | 21 | 20s | UK | United Kingdom | male | train |
17420 | 22 | 20s | BR | Brazil | female | train |
16829 | 27 | 20s | AR | Argentina | male | train |
40786 | 33 | 30s | CR | Costa Rica | male | train |
35851 | 16 | 10s | PL | Poland | male | train |
41270 | 20 | 20s | US | United States | male | train |
68181 | 21 | 20s | DE | Germany | male | train |
10706 | 26 | 20s | FI | Finland | male | train |
62076 | 19 | 10s | RU | Russia | male | train |
39071 | 34 | 30s | AU | Australia | male | train |
4324 | 35 | 30s | PL | Poland | male | train |
11547 | 26 | 20s | US | United States | male | train |
1897 | 22 | 20s | DE | Germany | male | train |
8075 | 24 | 20s | US | United States | male | train |
46960 | 65 | 60+ | NL | Netherlands | male | train |
56758 | 30 | 30s | US | United States | male | train |
16520 | 20 | 20s | BR | Brazil | male | train |
15310 | 34 | 30s | CZ | Czech Republic | male | train |
57099 | 19 | 10s | RU | Russia | male | train |
68041 | 22 | 20s | BE | Belgium | female | train |
7636 | 40 | 40s | US | United States | male | train |
23344 | 30 | 30s | US | United States | male | train |
42973 | 21 | 20s | BR | Brazil | male | train |
66874 | 28 | 20s | NL | Netherlands | male | train |
19142 | 25 | 20s | US | United States | female | train |
67385 | 19 | 10s | CZ | Czech Republic | male | train |
42388 | 32 | 30s | BR | Brazil | male | train |
32284 | 22 | 20s | JP | Japan | female | train |
9954 | 30 | 30s | US | United States | male | train |
42174 | 26 | 20s | UA | Ukraine | male | train |
68029 | 19 | 10s | SK | Slovakia | male | train |
52042 | 18 | 10s | AU | Australia | male | train |
8907 | 28 | 20s | BR | Brazil | male | train |
30170 | 21 | 20s | US | United States | male | train |
45600 | 38 | 30s | JP | Japan | male | train |
25479 | 23 | 20s | AU | Australia | male | train |
29963 | 27 | 20s | ES | Spain | male | train |
80255 | 17 | 10s | ID | Indonesia | male | train |
19963 | 20 | 20s | HR | Croatia | male | train |
25195 | 21 | 20s | RU | Russia | male | train |
5957 | 20 | 20s | DK | Denmark | male | train |
51186 | 15 | 10s | FI | Finland | female | train |
34997 | 27 | 20s | RS | Serbia | male | train |
27678 | 20 | 20s | US | United States | male | train |
15548 | 33 | 30s | BR | Brazil | male | train |
20602 | 22 | 20s | US | United States | male | train |
50511 | 24 | 20s | BE | Belgium | female | train |
15688 | 20 | 20s | PL | Poland | female | train |
57797 | 16 | 10s | US | United States | female | train |
7394 | 30 | 30s | NL | Netherlands | male | train |
69465 | 15 | 10s | VE | Venezuela | male | train |
36274 | 19 | 10s | US | United States | male | train |
18255 | 40 | 40s | ES | Spain | male | train |
25654 | 25 | 20s | IT | Italy | male | train |
62615 | 20 | 20s | UK | United Kingdom | female | train |
5092 | 32 | 30s | ZA | South Africa | male | train |
21220 | 29 | 20s | NL | Netherlands | male | train |
7674 | 36 | 30s | BY | Belarus | male | train |
35663 | 2 | 10s | PL | Poland | male | train |
105824 | 17 | 10s | PL | Poland | male | train |
14819 | 26 | 20s | NO | Norway | male | train |
13078 | 21 | 20s | PL | Poland | female | train |
50438 | 21 | 20s | UK | United Kingdom | female | train |
12530 | 22 | 20s | PL | Poland | female | train |
2335 | 41 | 40s | US | United States | male | train |
76002 | 18 | 10s | RU | Russia | male | train |
25506 | 24 | 20s | CL | Chile | male | train |
35175 | 59 | 50s | US | United States | male | train |
43982 | 19 | 10s | US | United States | male | train |
16390 | 23 | 20s | CA | Canada | male | train |
13876 | 17 | 10s | NL | Netherlands | male | train |
79935 | 22 | 20s | ID | Indonesia | male | train |
28155 | 26 | 20s | AU | Australia | male | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.