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 |
|---|---|---|---|---|---|---|
28164
| 21 |
20s
|
CH
|
Switzerland
|
male
|
train
|
39874
| 21 |
20s
|
KZ
|
Kazakhstan
|
male
|
train
|
53699
| 17 |
10s
|
PL
|
Poland
|
male
|
train
|
15113
| 35 |
30s
|
US
|
United States
|
male
|
train
|
20063
| 21 |
20s
|
CO
|
Colombia
|
female
|
train
|
23674
| 20 |
20s
|
UA
|
Ukraine
|
female
|
train
|
12288
| 24 |
20s
|
US
|
United States
|
female
|
train
|
66172
| 20 |
20s
|
US
|
United States
|
male
|
train
|
47605
| 16 |
10s
|
PL
|
Poland
|
female
|
train
|
34515
| 19 |
10s
|
PL
|
Poland
|
female
|
train
|
10858
| 22 |
20s
|
DE
|
Germany
|
male
|
train
|
59698
| 18 |
10s
|
BR
|
Brazil
|
female
|
train
|
36734
| 18 |
10s
|
UK
|
United Kingdom
|
female
|
train
|
4155
| 28 |
20s
|
NO
|
Norway
|
male
|
train
|
19633
| 17 |
10s
|
HK
|
Hong Kong
|
male
|
train
|
38122
| 19 |
10s
|
RU
|
Russia
|
male
|
train
|
64304
| 16 |
10s
|
BR
|
Brazil
|
female
|
train
|
890
| 39 |
30s
|
SE
|
Sweden
|
male
|
train
|
33439
| 23 |
20s
|
NO
|
Norway
|
male
|
train
|
23331
| 21 |
20s
|
JP
|
Japan
|
female
|
train
|
51183
| 22 |
20s
|
ID
|
Indonesia
|
female
|
train
|
15370
| 31 |
30s
|
RU
|
Russia
|
male
|
train
|
15679
| 24 |
20s
|
PL
|
Poland
|
female
|
train
|
10491
| 27 |
20s
|
UZ
|
Uzbekistan
|
male
|
train
|
80743
| 20 |
20s
|
BR
|
Brazil
|
male
|
train
|
1971
| 25 |
20s
|
US
|
United States
|
male
|
train
|
16975
| 23 |
20s
|
BR
|
Brazil
|
female
|
train
|
27498
| 36 |
30s
|
US
|
United States
|
male
|
train
|
56992
| 18 |
10s
|
CA
|
Canada
|
male
|
train
|
13968
| 28 |
20s
|
RU
|
Russia
|
male
|
train
|
34214
| 21 |
20s
|
PL
|
Poland
|
male
|
train
|
33563
| 22 |
20s
|
NL
|
Netherlands
|
male
|
train
|
46805
| 23 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
12792
| 27 |
20s
|
US
|
United States
|
male
|
train
|
60488
| 17 |
10s
|
BR
|
Brazil
|
female
|
train
|
7924
| 24 |
20s
|
US
|
United States
|
male
|
train
|
16496
| 19 |
10s
|
BR
|
Brazil
|
male
|
train
|
27574
| 19 |
10s
|
RU
|
Russia
|
male
|
train
|
26111
| 44 |
40s
|
US
|
United States
|
male
|
train
|
7088
| 22 |
20s
|
US
|
United States
|
female
|
train
|
31995
| 23 |
20s
|
PL
|
Poland
|
female
|
train
|
37119
| 19 |
10s
|
BR
|
Brazil
|
male
|
train
|
39514
| 19 |
10s
|
US
|
United States
|
male
|
train
|
27357
| 21 |
20s
|
DE
|
Germany
|
male
|
train
|
20180
| 23 |
20s
|
BR
|
Brazil
|
male
|
train
|
26685
| 25 |
20s
|
DE
|
Germany
|
male
|
train
|
55252
| 22 |
20s
|
PL
|
Poland
|
male
|
train
|
64410
| 17 |
10s
|
DE
|
Germany
|
male
|
train
|
16823
| 24 |
20s
|
HR
|
Croatia
|
male
|
train
|
17066
| 22 |
20s
|
HR
|
Croatia
|
male
|
train
|
5767
| 33 |
30s
|
IT
|
Italy
|
male
|
train
|
84377
| 22 |
20s
|
BR
|
Brazil
|
male
|
train
|
17103
| 23 |
20s
|
US
|
United States
|
male
|
train
|
74776
| 23 |
20s
|
MX
|
Mexico
|
female
|
train
|
35038
| 18 |
10s
|
BR
|
Brazil
|
male
|
train
|
24728
| 37 |
30s
|
UA
|
Ukraine
|
male
|
train
|
31185
| 31 |
30s
|
BE
|
Belgium
|
male
|
train
|
46452
| 19 |
10s
|
PL
|
Poland
|
male
|
train
|
9869
| 27 |
20s
|
IT
|
Italy
|
male
|
train
|
48597
| 16 |
10s
|
PL
|
Poland
|
female
|
train
|
1509
| 47 |
40s
|
UK
|
United Kingdom
|
male
|
train
|
53867
| 18 |
10s
|
RO
|
Romania
|
male
|
train
|
25399
| 27 |
20s
|
MX
|
Mexico
|
male
|
train
|
54114
| 17 |
10s
|
MX
|
Mexico
|
female
|
train
|
47176
| 24 |
20s
|
DE
|
Germany
|
male
|
train
|
6501
| 19 |
10s
|
BR
|
Brazil
|
female
|
train
|
60275
| 24 |
20s
|
US
|
United States
|
male
|
train
|
52337
| 20 |
20s
|
HU
|
Hungary
|
female
|
train
|
2370
| 29 |
20s
|
NL
|
Netherlands
|
male
|
train
|
36595
| 22 |
20s
|
SE
|
Sweden
|
male
|
train
|
49934
| 22 |
20s
|
PL
|
Poland
|
male
|
train
|
30452
| 24 |
20s
|
JP
|
Japan
|
male
|
train
|
11429
| 21 |
20s
|
DE
|
Germany
|
female
|
train
|
414
| 23 |
20s
|
US
|
United States
|
male
|
train
|
56692
| 20 |
20s
|
US
|
United States
|
female
|
train
|
86201
| 18 |
10s
|
UK
|
United Kingdom
|
male
|
train
|
72283
| 18 |
10s
|
US
|
United States
|
male
|
train
|
3867
| 33 |
30s
|
IT
|
Italy
|
male
|
train
|
7015
| 21 |
20s
|
PL
|
Poland
|
male
|
train
|
16172
| 25 |
20s
|
FR
|
France
|
male
|
train
|
12566
| 19 |
10s
|
BR
|
Brazil
|
female
|
train
|
17704
| 25 |
20s
|
RO
|
Romania
|
female
|
train
|
7679
| 42 |
40s
|
NL
|
Netherlands
|
male
|
train
|
15953
| 32 |
30s
|
NZ
|
New Zealand
|
female
|
train
|
31188
| 25 |
20s
|
PL
|
Poland
|
female
|
train
|
41086
| 19 |
10s
|
UK
|
United Kingdom
|
male
|
train
|
28451
| 21 |
20s
|
MX
|
Mexico
|
female
|
train
|
1666
| 25 |
20s
|
US
|
United States
|
male
|
train
|
12104
| 32 |
30s
|
US
|
United States
|
male
|
train
|
17519
| 28 |
20s
|
NL
|
Netherlands
|
male
|
train
|
30798
| 16 |
10s
|
PL
|
Poland
|
female
|
train
|
18502
| 19 |
10s
|
BR
|
Brazil
|
male
|
train
|
83631
| 17 |
10s
|
RU
|
Russia
|
female
|
train
|
9617
| 21 |
20s
|
IE
|
Ireland
|
female
|
train
|
2818
| 29 |
20s
|
FR
|
France
|
male
|
train
|
17123
| 20 |
20s
|
BR
|
Brazil
|
female
|
train
|
13654
| 17 |
10s
|
AU
|
Australia
|
male
|
train
|
47423
| 17 |
10s
|
BR
|
Brazil
|
female
|
train
|
57345
| 21 |
20s
|
DE
|
Germany
|
male
|
train
|
60165
| 21 |
20s
|
NL
|
Netherlands
|
male
|
train
|
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