talkplay-data-2
Collection
12 items
•
Updated
Dataset Viewer
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 |
|---|---|---|---|---|---|---|
49228
| 19 |
10s
|
MX
|
Mexico
|
female
|
train
|
28026
| 25 |
20s
|
PL
|
Poland
|
female
|
train
|
11483
| 23 |
20s
|
PL
|
Poland
|
male
|
train
|
5695
| 27 |
20s
|
AU
|
Australia
|
male
|
train
|
51177
| 43 |
40s
|
UK
|
United Kingdom
|
male
|
train
|
75440
| 25 |
20s
|
SE
|
Sweden
|
male
|
train
|
19602
| 23 |
20s
|
BR
|
Brazil
|
male
|
train
|
36860
| 24 |
20s
|
GT
|
Guatemala
|
male
|
train
|
7193
| 55 |
50s
|
US
|
United States
|
female
|
train
|
10343
| 21 |
20s
|
VE
|
Venezuela
|
female
|
train
|
17416
| 25 |
20s
|
US
|
United States
|
male
|
train
|
30496
| 22 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
14113
| 25 |
20s
|
BR
|
Brazil
|
male
|
train
|
44850
| 20 |
20s
|
BY
|
Belarus
|
female
|
train
|
53610
| 21 |
20s
|
US
|
United States
|
male
|
train
|
5890
| 24 |
20s
|
NO
|
Norway
|
male
|
train
|
10245
| 37 |
30s
|
CA
|
Canada
|
female
|
train
|
4796
| 21 |
20s
|
PT
|
Portugal
|
male
|
train
|
44182
| 21 |
20s
|
NO
|
Norway
|
male
|
train
|
70756
| 36 |
30s
|
US
|
United States
|
male
|
train
|
47561
| 27 |
20s
|
BR
|
Brazil
|
male
|
train
|
6882
| 29 |
20s
|
ES
|
Spain
|
male
|
train
|
33378
| 23 |
20s
|
RU
|
Russia
|
male
|
train
|
25271
| 20 |
20s
|
IS
|
Iceland
|
male
|
train
|
21499
| 21 |
20s
|
DE
|
Germany
|
male
|
train
|
66694
| 17 |
10s
|
BR
|
Brazil
|
male
|
train
|
50877
| 20 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
38405
| 22 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
37960
| 28 |
20s
|
PL
|
Poland
|
male
|
train
|
1986
| 25 |
20s
|
RU
|
Russia
|
male
|
train
|
20707
| 29 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
18215
| 41 |
40s
|
UK
|
United Kingdom
|
male
|
train
|
15651
| 21 |
20s
|
RU
|
Russia
|
male
|
train
|
5777
| 22 |
20s
|
CA
|
Canada
|
male
|
train
|
8363
| 30 |
30s
|
RU
|
Russia
|
male
|
train
|
28843
| 23 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
30333
| 26 |
20s
|
RS
|
Serbia
|
male
|
train
|
11313
| 26 |
20s
|
RU
|
Russia
|
female
|
train
|
5698
| 26 |
20s
|
US
|
United States
|
male
|
train
|
54580
| 22 |
20s
|
DE
|
Germany
|
male
|
train
|
24675
| 30 |
30s
|
MX
|
Mexico
|
male
|
train
|
46026
| 23 |
20s
|
NO
|
Norway
|
male
|
train
|
51781
| 48 |
40s
|
SE
|
Sweden
|
male
|
train
|
886
| 35 |
30s
|
JP
|
Japan
|
male
|
train
|
15307
| 23 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
2311
| 29 |
20s
|
US
|
United States
|
male
|
train
|
7773
| 23 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
89956
| 19 |
10s
|
DE
|
Germany
|
male
|
train
|
17373
| 22 |
20s
|
PL
|
Poland
|
female
|
train
|
48696
| 21 |
20s
|
BR
|
Brazil
|
male
|
train
|
4889
| 33 |
30s
|
BR
|
Brazil
|
male
|
train
|
105768
| 19 |
10s
|
US
|
United States
|
female
|
train
|
8780
| 23 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
21119
| 19 |
10s
|
US
|
United States
|
female
|
train
|
42446
| 23 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
7142
| 27 |
20s
|
PL
|
Poland
|
male
|
train
|
31096
| 32 |
30s
|
AU
|
Australia
|
male
|
train
|
19163
| 26 |
20s
|
LT
|
Lithuania
|
female
|
train
|
50693
| 19 |
10s
|
RU
|
Russia
|
male
|
train
|
15606
| 23 |
20s
|
AU
|
Australia
|
female
|
train
|
6439
| 23 |
20s
|
NO
|
Norway
|
female
|
train
|
68542
| 20 |
20s
|
CA
|
Canada
|
female
|
train
|
2888
| 30 |
30s
|
NO
|
Norway
|
male
|
train
|
3236
| 62 |
60+
|
NL
|
Netherlands
|
female
|
train
|
20862
| 32 |
30s
|
US
|
United States
|
male
|
train
|
45723
| 23 |
20s
|
DE
|
Germany
|
male
|
train
|
7962
| 46 |
40s
|
UK
|
United Kingdom
|
male
|
train
|
62809
| 16 |
10s
|
PL
|
Poland
|
male
|
train
|
1351
| 38 |
30s
|
BR
|
Brazil
|
male
|
train
|
32426
| 40 |
40s
|
UK
|
United Kingdom
|
male
|
train
|
17674
| 21 |
20s
|
US
|
United States
|
female
|
train
|
8272
| 25 |
20s
|
US
|
United States
|
male
|
train
|
50429
| 17 |
10s
|
AU
|
Australia
|
male
|
train
|
19900
| 27 |
20s
|
DE
|
Germany
|
male
|
train
|
53420
| 21 |
20s
|
VE
|
Venezuela
|
female
|
train
|
16200
| 21 |
20s
|
PL
|
Poland
|
male
|
train
|
45739
| 22 |
20s
|
RU
|
Russia
|
male
|
train
|
49472
| 27 |
20s
|
BR
|
Brazil
|
female
|
train
|
38019
| 25 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
45585
| 19 |
10s
|
BR
|
Brazil
|
male
|
train
|
14718
| 19 |
10s
|
RU
|
Russia
|
female
|
train
|
12970
| 21 |
20s
|
RS
|
Serbia
|
male
|
train
|
51187
| 16 |
10s
|
RU
|
Russia
|
male
|
train
|
47933
| 23 |
20s
|
EG
|
Egypt
|
male
|
train
|
9044
| 21 |
20s
|
BE
|
Belgium
|
female
|
train
|
27161
| 19 |
10s
|
CZ
|
Czech Republic
|
male
|
train
|
50999
| 22 |
20s
|
US
|
United States
|
female
|
train
|
15596
| 25 |
20s
|
AT
|
Austria
|
male
|
train
|
28104
| 38 |
30s
|
PL
|
Poland
|
male
|
train
|
85679
| 16 |
10s
|
BR
|
Brazil
|
male
|
train
|
74864
| 18 |
10s
|
PL
|
Poland
|
female
|
train
|
12622
| 21 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
34936
| 21 |
20s
|
ID
|
Indonesia
|
male
|
train
|
54923
| 20 |
20s
|
PL
|
Poland
|
female
|
train
|
9146
| 23 |
20s
|
PL
|
Poland
|
male
|
train
|
3196
| 25 |
20s
|
CZ
|
Czech Republic
|
male
|
train
|
15151
| 22 |
20s
|
AR
|
Argentina
|
male
|
train
|
9007
| 20 |
20s
|
UK
|
United Kingdom
|
male
|
train
|
9185
| 35 |
30s
|
PL
|
Poland
|
male
|
train
|
475
| 37 |
30s
|
FI
|
Finland
|
male
|
train
|
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