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 |
|---|---|---|---|---|---|---|
7658 | 29 | 20s | DE | Germany | male | train |
45568 | 18 | 10s | BR | Brazil | male | train |
6502 | 25 | 20s | BR | Brazil | male | train |
10449 | 39 | 30s | US | United States | male | train |
17918 | 23 | 20s | PL | Poland | male | train |
20456 | 19 | 10s | BR | Brazil | male | train |
17256 | 22 | 20s | PL | Poland | male | train |
100195 | 19 | 10s | US | United States | male | train |
11549 | 21 | 20s | US | United States | male | train |
55920 | 19 | 10s | SI | Slovenia | male | train |
15724 | 26 | 20s | UK | United Kingdom | male | train |
1595 | 23 | 20s | FI | Finland | male | train |
68789 | 20 | 20s | FR | France | male | train |
55908 | 21 | 20s | NL | Netherlands | male | train |
17781 | 20 | 20s | BR | Brazil | female | train |
6815 | 24 | 20s | UK | United Kingdom | male | train |
455 | 35 | 30s | UK | United Kingdom | male | train |
7183 | 31 | 30s | RU | Russia | male | train |
645 | 21 | 20s | BE | Belgium | male | train |
68051 | 16 | 10s | PL | Poland | female | train |
14802 | 31 | 30s | RU | Russia | male | train |
22721 | 19 | 10s | AU | Australia | male | train |
29877 | 25 | 20s | RU | Russia | male | train |
92187 | 19 | 10s | AU | Australia | male | train |
16065 | 27 | 20s | ES | Spain | male | train |
15118 | 24 | 20s | PL | Poland | male | train |
44571 | 17 | 10s | PL | Poland | male | train |
3757 | 21 | 20s | US | United States | male | train |
17386 | 22 | 20s | NL | Netherlands | male | train |
61891 | 26 | 20s | UK | United Kingdom | male | train |
33210 | 20 | 20s | UA | Ukraine | male | train |
51780 | 27 | 20s | BR | Brazil | female | train |
15590 | 35 | 30s | US | United States | male | train |
63043 | 20 | 20s | BE | Belgium | male | train |
18769 | 21 | 20s | PL | Poland | male | train |
10202 | 21 | 20s | NO | Norway | female | train |
6971 | 22 | 20s | US | United States | female | train |
11361 | 24 | 20s | CL | Chile | male | train |
34906 | 19 | 10s | DE | Germany | male | train |
2006 | 23 | 20s | SG | Singapore | male | train |
39475 | 21 | 20s | AU | Australia | male | train |
21268 | 24 | 20s | US | United States | female | train |
51020 | 19 | 10s | UK | United Kingdom | male | train |
58065 | 17 | 10s | IT | Italy | female | train |
25690 | 19 | 10s | AU | Australia | male | train |
93993 | 23 | 20s | US | United States | female | train |
1705 | 33 | 30s | NO | Norway | male | train |
38905 | 24 | 20s | US | United States | female | train |
26335 | 20 | 20s | US | United States | male | train |
8810 | 35 | 30s | IT | Italy | male | train |
28980 | 30 | 30s | TR | Turkey | female | train |
9072 | 23 | 20s | DE | Germany | male | train |
2304 | 23 | 20s | RU | Russia | male | train |
37330 | 21 | 20s | MY | Malaysia | male | train |
45986 | 17 | 10s | US | United States | female | train |
6925 | 32 | 30s | PL | Poland | male | train |
3860 | 26 | 20s | NO | Norway | male | train |
47924 | 21 | 20s | PT | Portugal | male | train |
20368 | 27 | 20s | UK | United Kingdom | male | train |
57843 | 25 | 20s | CA | Canada | female | train |
57594 | 16 | 10s | NO | Norway | female | train |
8122 | 38 | 30s | UK | United Kingdom | male | train |
14301 | 31 | 30s | UK | United Kingdom | female | train |
53024 | 20 | 20s | RU | Russia | female | train |
53989 | 18 | 10s | BR | Brazil | male | train |
46191 | 18 | 10s | BR | Brazil | female | train |
19560 | 21 | 20s | ES | Spain | male | train |
31289 | 25 | 20s | RU | Russia | male | train |
16461 | 28 | 20s | DE | Germany | male | train |
19690 | 28 | 20s | BY | Belarus | male | train |
53429 | 20 | 20s | FI | Finland | male | train |
45855 | 18 | 10s | US | United States | male | train |
21664 | 20 | 20s | US | United States | male | train |
28342 | 27 | 20s | ES | Spain | male | train |
19556 | 24 | 20s | ES | Spain | male | train |
28185 | 21 | 20s | RU | Russia | male | train |
4099 | 34 | 30s | ES | Spain | male | train |
1390 | 24 | 20s | US | United States | male | train |
9592 | 22 | 20s | RU | Russia | male | train |
119533 | 18 | 10s | RU | Russia | female | train |
39749 | 20 | 20s | AU | Australia | male | train |
75064 | 21 | 20s | US | United States | female | train |
71584 | 21 | 20s | US | United States | male | train |
22611 | 20 | 20s | BR | Brazil | male | train |
102833 | 30 | 30s | DE | Germany | female | train |
27865 | 36 | 30s | PE | Peru | male | train |
8859 | 27 | 20s | FR | France | male | train |
32694 | 32 | 30s | RU | Russia | male | train |
69295 | 21 | 20s | BR | Brazil | male | train |
83469 | 18 | 10s | BR | Brazil | male | train |
84677 | 21 | 20s | DE | Germany | male | train |
90671 | 19 | 10s | SE | Sweden | male | train |
15409 | 23 | 20s | PL | Poland | female | train |
20174 | 29 | 20s | DE | Germany | male | train |
50712 | 25 | 20s | US | United States | female | train |
17365 | 21 | 20s | DE | Germany | male | train |
31568 | 18 | 10s | FI | Finland | male | train |
96608 | 39 | 30s | DE | Germany | male | train |
57908 | 17 | 10s | PL | Poland | female | train |
1372 | 31 | 30s | CL | Chile | male | train |
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