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 |
|---|---|---|---|---|---|---|
13249 | 25 | 20s | VN | Vietnam | male | train |
11861 | 24 | 20s | US | United States | female | train |
58294 | 21 | 20s | PL | Poland | female | train |
18765 | 31 | 30s | UK | United Kingdom | male | train |
74497 | 18 | 10s | US | United States | male | train |
46482 | 24 | 20s | RU | Russia | female | train |
48169 | 17 | 10s | PL | Poland | female | train |
52531 | 19 | 10s | IL | Israel | male | train |
12817 | 23 | 20s | LV | Latvia | female | train |
111337 | 23 | 20s | US | United States | male | train |
11250 | 21 | 20s | TR | Turkey | female | train |
8431 | 22 | 20s | RU | Russia | male | train |
8224 | 22 | 20s | CL | Chile | female | train |
23187 | 20 | 20s | US | United States | male | train |
31890 | 22 | 20s | PT | Portugal | male | train |
25097 | 20 | 20s | PL | Poland | female | train |
43033 | 23 | 20s | US | United States | male | train |
19298 | 20 | 20s | BR | Brazil | male | train |
82 | 21 | 20s | US | United States | male | train |
27417 | 23 | 20s | FI | Finland | male | train |
100677 | 23 | 20s | HU | Hungary | male | train |
5733 | 29 | 20s | US | United States | female | train |
52929 | 21 | 20s | BR | Brazil | male | train |
6935 | 27 | 20s | PH | Philippines | female | train |
16413 | 28 | 20s | HR | Croatia | female | train |
47177 | 18 | 10s | EE | Estonia | female | train |
107025 | 18 | 10s | RU | Russia | male | train |
1974 | 27 | 20s | BE | Belgium | male | train |
12450 | 23 | 20s | CZ | Czech Republic | female | train |
36614 | 21 | 20s | RU | Russia | male | train |
19959 | 24 | 20s | PL | Poland | male | train |
42132 | 19 | 10s | US | United States | male | train |
9324 | 23 | 20s | RU | Russia | male | train |
25236 | 36 | 30s | US | United States | male | train |
62017 | 15 | 10s | AR | Argentina | male | train |
63315 | 40 | 40s | RU | Russia | male | train |
48922 | 20 | 20s | PL | Poland | female | train |
54844 | 18 | 10s | PL | Poland | male | train |
4301 | 23 | 20s | AT | Austria | male | train |
81266 | 22 | 20s | DE | Germany | male | train |
22197 | 18 | 10s | PL | Poland | female | train |
43181 | 21 | 20s | PL | Poland | male | train |
6917 | 21 | 20s | US | United States | male | train |
7731 | 30 | 30s | UK | United Kingdom | male | train |
75124 | 17 | 10s | US | United States | male | train |
24942 | 20 | 20s | BR | Brazil | male | train |
49231 | 24 | 20s | BR | Brazil | male | train |
72117 | 21 | 20s | BG | Bulgaria | male | train |
15508 | 24 | 20s | CO | Colombia | female | train |
5573 | 22 | 20s | US | United States | female | train |
7224 | 23 | 20s | HR | Croatia | male | train |
67478 | 23 | 20s | ES | Spain | male | train |
38269 | 32 | 30s | SE | Sweden | male | train |
94359 | 22 | 20s | UK | United Kingdom | male | train |
51133 | 17 | 10s | BR | Brazil | female | train |
66872 | 17 | 10s | BR | Brazil | male | train |
57576 | 18 | 10s | RS | Serbia | male | train |
11601 | 18 | 10s | IL | Israel | female | train |
4817 | 28 | 20s | SE | Sweden | male | train |
13161 | 22 | 20s | BR | Brazil | female | train |
76411 | 14 | 10s | RU | Russia | female | train |
46504 | 21 | 20s | PL | Poland | male | train |
19719 | 21 | 20s | BR | Brazil | female | train |
66490 | 22 | 20s | UK | United Kingdom | male | train |
34544 | 19 | 10s | FI | Finland | male | train |
7000 | 22 | 20s | US | United States | female | train |
46169 | 20 | 20s | BR | Brazil | female | train |
5466 | 27 | 20s | US | United States | male | train |
3696 | 37 | 30s | PL | Poland | male | train |
24083 | 33 | 30s | BR | Brazil | male | train |
700 | 29 | 20s | PL | Poland | male | train |
63963 | 19 | 10s | UK | United Kingdom | female | train |
87637 | 22 | 20s | NL | Netherlands | female | train |
16314 | 29 | 20s | JP | Japan | female | train |
32939 | 27 | 20s | UK | United Kingdom | male | train |
22496 | 20 | 20s | FI | Finland | female | train |
30512 | 21 | 20s | US | United States | male | train |
57402 | 18 | 10s | PL | Poland | male | train |
7284 | 29 | 20s | AU | Australia | male | train |
3960 | 23 | 20s | SK | Slovakia | male | train |
32318 | 20 | 20s | UK | United Kingdom | male | train |
75906 | 35 | 30s | MX | Mexico | male | train |
31271 | 30 | 30s | UK | United Kingdom | male | train |
30750 | 19 | 10s | FI | Finland | female | train |
18812 | 19 | 10s | PL | Poland | male | train |
44755 | 17 | 10s | PL | Poland | male | train |
66992 | 23 | 20s | ID | Indonesia | male | train |
60265 | 22 | 20s | BR | Brazil | male | train |
4381 | 27 | 20s | FI | Finland | male | train |
366 | 24 | 20s | NO | Norway | male | train |
4353 | 27 | 20s | GR | Greece | male | train |
16844 | 34 | 30s | DE | Germany | male | train |
26065 | 22 | 20s | SE | Sweden | male | train |
43934 | 20 | 20s | US | United States | male | train |
63984 | 23 | 20s | BR | Brazil | female | train |
1566 | 25 | 20s | US | United States | male | train |
9545 | 24 | 20s | US | United States | female | train |
3039 | 25 | 20s | US | United States | female | train |
21642 | 18 | 10s | DE | Germany | male | train |
9319 | 47 | 40s | US | United States | male | train |
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