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stringclasses 2
values | split
stringclasses 1
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|---|---|---|---|---|---|---|
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| 22
|
20s
|
FI
|
Finland
|
female
|
train
|
15862
| 29
|
20s
|
RU
|
Russia
|
male
|
train
|
80147
| 50
|
50s
|
FR
|
France
|
male
|
train
|
1910
| 35
|
30s
|
CA
|
Canada
|
male
|
train
|
15023
| 28
|
20s
|
NL
|
Netherlands
|
male
|
train
|
64202
| 24
|
20s
|
IT
|
Italy
|
female
|
train
|
39632
| 34
|
30s
|
RU
|
Russia
|
male
|
train
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2376
| 32
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30s
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CH
|
Switzerland
|
male
|
train
|
52827
| 19
|
10s
|
LV
|
Latvia
|
female
|
train
|
5235
| 28
|
20s
|
US
|
United States
|
male
|
train
|
22194
| 21
|
20s
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LT
|
Lithuania
|
female
|
train
|
17261
| 22
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
11421
| 30
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30s
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AU
|
Australia
|
male
|
train
|
15839
| 20
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20s
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FI
|
Finland
|
female
|
train
|
20242
| 26
|
20s
|
DE
|
Germany
|
male
|
train
|
1157
| 30
|
30s
|
SE
|
Sweden
|
male
|
train
|
10263
| 21
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20s
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US
|
United States
|
female
|
train
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8452
| 27
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20s
|
BR
|
Brazil
|
male
|
train
|
10135
| 27
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20s
|
BR
|
Brazil
|
male
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train
|
21809
| 39
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30s
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BE
|
Belgium
|
male
|
train
|
31814
| 19
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10s
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RO
|
Romania
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female
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train
|
34221
| 30
|
30s
|
AU
|
Australia
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male
|
train
|
22335
| 22
|
20s
|
RO
|
Romania
|
female
|
train
|
4700
| 32
|
30s
|
DE
|
Germany
|
male
|
train
|
28867
| 26
|
20s
|
ES
|
Spain
|
female
|
train
|
39017
| 17
|
10s
|
PL
|
Poland
|
male
|
train
|
26906
| 19
|
10s
|
PL
|
Poland
|
female
|
train
|
27886
| 22
|
20s
|
PL
|
Poland
|
female
|
train
|
55077
| 17
|
10s
|
BR
|
Brazil
|
female
|
train
|
36871
| 20
|
20s
|
US
|
United States
|
female
|
train
|
2599
| 27
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
49626
| 20
|
20s
|
NO
|
Norway
|
male
|
train
|
1013
| 39
|
30s
|
DE
|
Germany
|
male
|
train
|
19110
| 26
|
20s
|
DK
|
Denmark
|
female
|
train
|
12218
| 24
|
20s
|
TR
|
Turkey
|
female
|
train
|
107879
| 20
|
20s
|
HN
|
Honduras
|
male
|
train
|
30092
| 20
|
20s
|
NL
|
Netherlands
|
female
|
train
|
47938
| 27
|
20s
|
PL
|
Poland
|
female
|
train
|
86184
| 20
|
20s
|
BR
|
Brazil
|
male
|
train
|
10306
| 23
|
20s
|
US
|
United States
|
female
|
train
|
1677
| 26
|
20s
|
SE
|
Sweden
|
male
|
train
|
33461
| 26
|
20s
|
US
|
United States
|
female
|
train
|
54566
| 19
|
10s
|
PL
|
Poland
|
male
|
train
|
22390
| 22
|
20s
|
DE
|
Germany
|
male
|
train
|
54898
| 18
|
10s
|
FI
|
Finland
|
male
|
train
|
21132
| 21
|
20s
|
FR
|
France
|
male
|
train
|
49955
| 22
|
20s
|
AU
|
Australia
|
female
|
train
|
3477
| 41
|
40s
|
IS
|
Iceland
|
male
|
train
|
41850
| 26
|
20s
|
BY
|
Belarus
|
male
|
train
|
115172
| 17
|
10s
|
DE
|
Germany
|
female
|
train
|
4866
| 29
|
20s
|
CZ
|
Czech Republic
|
male
|
train
|
3509
| 24
|
20s
|
US
|
United States
|
male
|
train
|
51977
| 26
|
20s
|
FI
|
Finland
|
male
|
train
|
62690
| 27
|
20s
|
PL
|
Poland
|
male
|
train
|
55205
| 15
|
10s
|
BR
|
Brazil
|
female
|
train
|
90741
| 16
|
10s
|
BR
|
Brazil
|
male
|
train
|
36250
| 37
|
30s
|
US
|
United States
|
female
|
train
|
49212
| 17
|
10s
|
UK
|
United Kingdom
|
female
|
train
|
105805
| 14
|
10s
|
UK
|
United Kingdom
|
female
|
train
|
2329
| 30
|
30s
|
US
|
United States
|
male
|
train
|
14504
| 24
|
20s
|
BR
|
Brazil
|
male
|
train
|
14200
| 26
|
20s
|
BG
|
Bulgaria
|
male
|
train
|
50458
| 21
|
20s
|
AU
|
Australia
|
female
|
train
|
27096
| 36
|
30s
|
PL
|
Poland
|
female
|
train
|
23292
| 17
|
10s
|
UA
|
Ukraine
|
female
|
train
|
45948
| 24
|
20s
|
CO
|
Colombia
|
male
|
train
|
48280
| 20
|
20s
|
IT
|
Italy
|
male
|
train
|
2745
| 23
|
20s
|
FI
|
Finland
|
male
|
train
|
15452
| 27
|
20s
|
US
|
United States
|
male
|
train
|
105693
| 19
|
10s
|
JP
|
Japan
|
male
|
train
|
15069
| 23
|
20s
|
FR
|
France
|
male
|
train
|
64965
| 18
|
10s
|
PL
|
Poland
|
female
|
train
|
67544
| 22
|
20s
|
DE
|
Germany
|
male
|
train
|
11091
| 25
|
20s
|
SE
|
Sweden
|
female
|
train
|
5911
| 22
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
2021
| 26
|
20s
|
AQ
|
Antarctica
|
female
|
train
|
28674
| 23
|
20s
|
PL
|
Poland
|
male
|
train
|
13485
| 25
|
20s
|
NL
|
Netherlands
|
male
|
train
|
49331
| 21
|
20s
|
BR
|
Brazil
|
male
|
train
|
33594
| 35
|
30s
|
MX
|
Mexico
|
male
|
train
|
2924
| 25
|
20s
|
US
|
United States
|
male
|
train
|
8175
| 28
|
20s
|
AR
|
Argentina
|
male
|
train
|
59387
| 19
|
10s
|
RU
|
Russia
|
male
|
train
|
55948
| 19
|
10s
|
BR
|
Brazil
|
male
|
train
|
59187
| 18
|
10s
|
TR
|
Turkey
|
male
|
train
|
70414
| 19
|
10s
|
PL
|
Poland
|
male
|
train
|
119691
| 15
|
10s
|
AU
|
Australia
|
male
|
train
|
42498
| 22
|
20s
|
PL
|
Poland
|
female
|
train
|
35885
| 16
|
10s
|
PL
|
Poland
|
female
|
train
|
13174
| 24
|
20s
|
UK
|
United Kingdom
|
male
|
train
|
64147
| 18
|
10s
|
VN
|
Vietnam
|
female
|
train
|
30508
| 53
|
50s
|
NO
|
Norway
|
female
|
train
|
53092
| 17
|
10s
|
BR
|
Brazil
|
female
|
train
|
43765
| 18
|
10s
|
BR
|
Brazil
|
female
|
train
|
18806
| 25
|
20s
|
US
|
United States
|
male
|
train
|
9272
| 21
|
20s
|
UA
|
Ukraine
|
male
|
train
|
12483
| 22
|
20s
|
PL
|
Poland
|
male
|
train
|
25772
| 24
|
20s
|
IR
|
Iran
|
male
|
train
|
28000
| 22
|
20s
|
BR
|
Brazil
|
female
|
train
|
2669
| 25
|
20s
|
US
|
United States
|
female
|
train
|
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