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 |
|---|---|---|---|---|---|---|
7436 | 29 | 20s | UK | United Kingdom | male | train |
52435 | 18 | 10s | RU | Russia | female | train |
21941 | 27 | 20s | ES | Spain | male | train |
15612 | 26 | 20s | PL | Poland | male | train |
24178 | 28 | 20s | IT | Italy | male | train |
4798 | 27 | 20s | ES | Spain | male | train |
53479 | 16 | 10s | BR | Brazil | male | train |
5907 | 40 | 40s | UK | United Kingdom | female | train |
45931 | 20 | 20s | SE | Sweden | male | train |
1993 | 24 | 20s | US | United States | female | train |
55144 | 16 | 10s | PL | Poland | male | train |
6288 | 29 | 20s | DE | Germany | male | train |
18185 | 20 | 20s | UA | Ukraine | male | train |
66222 | 18 | 10s | US | United States | female | train |
6717 | 22 | 20s | US | United States | female | train |
71971 | 22 | 20s | US | United States | female | train |
42071 | 23 | 20s | PL | Poland | female | train |
53355 | 20 | 20s | US | United States | male | train |
36239 | 25 | 20s | US | United States | male | train |
97267 | 39 | 30s | US | United States | male | train |
7098 | 27 | 20s | UK | United Kingdom | male | train |
21516 | 21 | 20s | BR | Brazil | male | train |
5146 | 29 | 20s | US | United States | male | train |
32935 | 21 | 20s | US | United States | male | train |
13553 | 28 | 20s | US | United States | male | train |
38392 | 20 | 20s | PL | Poland | male | train |
42899 | 22 | 20s | DE | Germany | male | train |
3698 | 26 | 20s | PL | Poland | male | train |
45028 | 22 | 20s | US | United States | female | train |
33149 | 22 | 20s | CZ | Czech Republic | male | train |
10337 | 27 | 20s | BG | Bulgaria | male | train |
33740 | 23 | 20s | UK | United Kingdom | male | train |
10249 | 23 | 20s | US | United States | female | train |
59700 | 20 | 20s | MD | Moldova | male | train |
9889 | 24 | 20s | RU | Russia | male | train |
28547 | 22 | 20s | SE | Sweden | female | train |
15211 | 25 | 20s | US | United States | male | train |
19321 | 20 | 20s | BR | Brazil | male | train |
49341 | 21 | 20s | SA | Saudi Arabia | female | train |
39104 | 20 | 20s | RU | Russia | male | train |
3929 | 34 | 30s | NO | Norway | male | train |
21815 | 35 | 30s | IT | Italy | male | train |
24556 | 30 | 30s | US | United States | male | train |
10564 | 35 | 30s | CO | Colombia | male | train |
108315 | 15 | 10s | UA | Ukraine | male | train |
39028 | 22 | 20s | RU | Russia | female | train |
12001 | 31 | 30s | UK | United Kingdom | male | train |
31147 | 22 | 20s | US | United States | male | train |
29304 | 37 | 30s | US | United States | male | train |
32361 | 21 | 20s | NL | Netherlands | male | train |
98624 | 22 | 20s | US | United States | male | train |
26690 | 26 | 20s | BR | Brazil | male | train |
9948 | 22 | 20s | PL | Poland | male | train |
21828 | 27 | 20s | PL | Poland | male | train |
70363 | 15 | 10s | ID | Indonesia | female | train |
71260 | 18 | 10s | CA | Canada | male | train |
60597 | 20 | 20s | BR | Brazil | male | train |
33322 | 17 | 10s | BR | Brazil | male | train |
60459 | 19 | 10s | CO | Colombia | male | train |
21399 | 30 | 30s | IT | Italy | male | train |
11029 | 39 | 30s | US | United States | male | train |
12041 | 27 | 20s | US | United States | male | train |
11847 | 24 | 20s | PL | Poland | male | train |
37569 | 20 | 20s | RU | Russia | male | train |
46594 | 20 | 20s | UK | United Kingdom | female | train |
18444 | 22 | 20s | CA | Canada | male | train |
22010 | 24 | 20s | RU | Russia | male | train |
46322 | 15 | 10s | DE | Germany | female | train |
31377 | 19 | 10s | RU | Russia | female | train |
28305 | 20 | 20s | UK | United Kingdom | male | train |
24356 | 22 | 20s | FI | Finland | male | train |
41885 | 18 | 10s | LV | Latvia | male | train |
22225 | 22 | 20s | PL | Poland | male | train |
59389 | 31 | 30s | PL | Poland | male | train |
3388 | 25 | 20s | US | United States | female | train |
14896 | 24 | 20s | AU | Australia | female | train |
49 | 27 | 20s | CH | Switzerland | male | train |
4218 | 27 | 20s | RO | Romania | male | train |
35532 | 48 | 40s | PH | Philippines | male | train |
4762 | 28 | 20s | NO | Norway | male | train |
7325 | 24 | 20s | CZ | Czech Republic | male | train |
61519 | 20 | 20s | PL | Poland | female | train |
18209 | 23 | 20s | US | United States | female | train |
31678 | 20 | 20s | UK | United Kingdom | female | train |
3342 | 50 | 50s | US | United States | female | train |
14051 | 31 | 30s | CO | Colombia | male | train |
33771 | 18 | 10s | CL | Chile | female | train |
33442 | 31 | 30s | JP | Japan | male | train |
12579 | 26 | 20s | KE | Kenya | female | train |
70620 | 18 | 10s | BR | Brazil | female | train |
10408 | 26 | 20s | CA | Canada | male | train |
23062 | 23 | 20s | DE | Germany | female | train |
13754 | 21 | 20s | FR | France | male | train |
51303 | 30 | 30s | US | United States | male | train |
21144 | 19 | 10s | BR | Brazil | male | train |
65804 | 21 | 20s | US | United States | male | train |
15299 | 19 | 10s | US | United States | male | train |
17483 | 23 | 20s | RU | Russia | male | train |
54303 | 17 | 10s | LT | Lithuania | male | train |
2391 | 59 | 50s | CA | Canada | male | train |
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