user_id
stringlengths 2
6
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71
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stringclasses 6
values | country_code
stringclasses 129
values | country_name
stringclasses 129
values | gender
stringclasses 2
values | split
stringclasses 1
value |
|---|---|---|---|---|---|---|
14456
| 23 |
20s
|
NO
|
Norway
|
female
|
train
|
42704
| 19 |
10s
|
BR
|
Brazil
|
female
|
train
|
37757
| 19 |
10s
|
PL
|
Poland
|
male
|
train
|
12342
| 19 |
10s
|
PT
|
Portugal
|
female
|
train
|
31745
| 28 |
20s
|
FI
|
Finland
|
male
|
train
|
12584
| 34 |
30s
|
MD
|
Moldova
|
male
|
train
|
696
| 27 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
11500
| 21 |
20s
|
SE
|
Sweden
|
male
|
train
|
29429
| 18 |
10s
|
DE
|
Germany
|
female
|
train
|
2089
| 28 |
20s
|
US
|
United States
|
male
|
train
|
5225
| 21 |
20s
|
US
|
United States
|
male
|
train
|
89309
| 21 |
20s
|
FI
|
Finland
|
female
|
train
|
24493
| 25 |
20s
|
CL
|
Chile
|
male
|
train
|
5572
| 18 |
10s
|
US
|
United States
|
male
|
train
|
3543
| 29 |
20s
|
DE
|
Germany
|
male
|
train
|
14331
| 34 |
30s
|
NL
|
Netherlands
|
male
|
train
|
61032
| 18 |
10s
|
NO
|
Norway
|
male
|
train
|
73769
| 22 |
20s
|
TR
|
Turkey
|
male
|
train
|
65537
| 17 |
10s
|
BR
|
Brazil
|
male
|
train
|
24854
| 40 |
40s
|
US
|
United States
|
male
|
train
|
18612
| 30 |
30s
|
DE
|
Germany
|
male
|
train
|
22759
| 31 |
30s
|
AQ
|
Antarctica
|
female
|
train
|
49234
| 24 |
20s
|
BG
|
Bulgaria
|
male
|
train
|
1397
| 35 |
30s
|
DK
|
Denmark
|
male
|
train
|
29447
| 21 |
20s
|
PL
|
Poland
|
male
|
train
|
29749
| 24 |
20s
|
JP
|
Japan
|
male
|
train
|
4789
| 30 |
30s
|
FR
|
France
|
male
|
train
|
98666
| 24 |
20s
|
US
|
United States
|
male
|
train
|
39042
| 22 |
20s
|
US
|
United States
|
male
|
train
|
19859
| 21 |
20s
|
PL
|
Poland
|
male
|
train
|
117888
| 18 |
10s
|
AR
|
Argentina
|
male
|
train
|
28324
| 24 |
20s
|
RU
|
Russia
|
female
|
train
|
68927
| 18 |
10s
|
PL
|
Poland
|
female
|
train
|
24267
| 17 |
10s
|
BR
|
Brazil
|
male
|
train
|
60
| 33 |
30s
|
UK
|
United Kingdom
|
male
|
train
|
83456
| 20 |
20s
|
NL
|
Netherlands
|
male
|
train
|
12585
| 33 |
30s
|
PT
|
Portugal
|
male
|
train
|
73985
| 19 |
10s
|
UK
|
United Kingdom
|
female
|
train
|
9431
| 22 |
20s
|
DE
|
Germany
|
male
|
train
|
11323
| 25 |
20s
|
SE
|
Sweden
|
male
|
train
|
24348
| 23 |
20s
|
AT
|
Austria
|
male
|
train
|
21757
| 38 |
30s
|
RU
|
Russia
|
male
|
train
|
9113
| 21 |
20s
|
US
|
United States
|
male
|
train
|
64013
| 19 |
10s
|
RU
|
Russia
|
female
|
train
|
11187
| 29 |
20s
|
RU
|
Russia
|
male
|
train
|
47066
| 21 |
20s
|
IE
|
Ireland
|
male
|
train
|
17893
| 22 |
20s
|
FI
|
Finland
|
female
|
train
|
9560
| 20 |
20s
|
BR
|
Brazil
|
female
|
train
|
33133
| 19 |
10s
|
LT
|
Lithuania
|
female
|
train
|
44567
| 19 |
10s
|
CO
|
Colombia
|
male
|
train
|
42287
| 30 |
30s
|
RU
|
Russia
|
male
|
train
|
18307
| 18 |
10s
|
FI
|
Finland
|
male
|
train
|
1885
| 24 |
20s
|
CA
|
Canada
|
female
|
train
|
30087
| 22 |
20s
|
US
|
United States
|
male
|
train
|
41658
| 22 |
20s
|
PL
|
Poland
|
male
|
train
|
76117
| 21 |
20s
|
CO
|
Colombia
|
male
|
train
|
7814
| 28 |
20s
|
DE
|
Germany
|
male
|
train
|
5596
| 27 |
20s
|
FI
|
Finland
|
male
|
train
|
605
| 25 |
20s
|
FI
|
Finland
|
male
|
train
|
13650
| 39 |
30s
|
AR
|
Argentina
|
male
|
train
|
33012
| 24 |
20s
|
US
|
United States
|
male
|
train
|
104383
| 25 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
3253
| 34 |
30s
|
IT
|
Italy
|
male
|
train
|
81148
| 20 |
20s
|
US
|
United States
|
female
|
train
|
20158
| 21 |
20s
|
MD
|
Moldova
|
female
|
train
|
26262
| 43 |
40s
|
UK
|
United Kingdom
|
male
|
train
|
3940
| 24 |
20s
|
BR
|
Brazil
|
male
|
train
|
13508
| 29 |
20s
|
RU
|
Russia
|
male
|
train
|
8262
| 21 |
20s
|
CA
|
Canada
|
male
|
train
|
13474
| 23 |
20s
|
HU
|
Hungary
|
male
|
train
|
14500
| 25 |
20s
|
US
|
United States
|
male
|
train
|
52885
| 20 |
20s
|
US
|
United States
|
male
|
train
|
13102
| 34 |
30s
|
VN
|
Vietnam
|
male
|
train
|
47
| 30 |
30s
|
US
|
United States
|
female
|
train
|
15830
| 20 |
20s
|
US
|
United States
|
female
|
train
|
41878
| 21 |
20s
|
RU
|
Russia
|
female
|
train
|
19843
| 20 |
20s
|
UK
|
United Kingdom
|
female
|
train
|
34606
| 20 |
20s
|
PL
|
Poland
|
female
|
train
|
35632
| 22 |
20s
|
PL
|
Poland
|
male
|
train
|
20987
| 23 |
20s
|
BY
|
Belarus
|
male
|
train
|
17355
| 41 |
40s
|
NL
|
Netherlands
|
female
|
train
|
18569
| 20 |
20s
|
PL
|
Poland
|
female
|
train
|
57417
| 28 |
20s
|
PL
|
Poland
|
female
|
train
|
10021
| 26 |
20s
|
PL
|
Poland
|
male
|
train
|
71143
| 17 |
10s
|
US
|
United States
|
female
|
train
|
70140
| 18 |
10s
|
US
|
United States
|
female
|
train
|
43666
| 20 |
20s
|
US
|
United States
|
male
|
train
|
1320
| 25 |
20s
|
SE
|
Sweden
|
male
|
train
|
102325
| 22 |
20s
|
BR
|
Brazil
|
male
|
train
|
12777
| 23 |
20s
|
ES
|
Spain
|
male
|
train
|
51332
| 19 |
10s
|
BR
|
Brazil
|
male
|
train
|
681
| 23 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
46896
| 24 |
20s
|
UA
|
Ukraine
|
male
|
train
|
95720
| 19 |
10s
|
US
|
United States
|
female
|
train
|
115093
| 32 |
30s
|
NO
|
Norway
|
male
|
train
|
53377
| 20 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
985
| 25 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
65763
| 24 |
20s
|
UA
|
Ukraine
|
male
|
train
|
63136
| 23 |
20s
|
AU
|
Australia
|
male
|
train
|
10581
| 33 |
30s
|
US
|
United States
|
male
|
train
|
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